Next Article in Journal
Optimization of Window-to-Wall Ratio for Buildings Located in Different Climates: An IDA-Indoor Climate and Energy Simulation Study
Next Article in Special Issue
Thermal Modernization Cost and the Potential Ecological Effect—Scenario Analysis for Thermal Modernization in Southern Poland
Previous Article in Journal
Green Building Adoption on Office Markets in Europe: An Empirical Investigation into LEED Certification
Previous Article in Special Issue
A Literature Review of Naturally Ventilated Public Hospital Wards in Tropical Climate Countries for Thermal Comfort and Energy Saving Improvements
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Energy Effectiveness or Economic Profitability? A Case Study of Thermal Modernization of a School Building

Department of Power Systems and Environmental Protection Facilities, Faculty of Mechanical Engineering and Robotics, AGH University of Science and Technology, Mickiewicza 30, 30-059 Kraków, Poland
*
Author to whom correspondence should be addressed.
Energies 2021, 14(7), 1973; https://doi.org/10.3390/en14071973
Submission received: 8 March 2021 / Revised: 24 March 2021 / Accepted: 31 March 2021 / Published: 2 April 2021
(This article belongs to the Special Issue Building Energy: Economics and Environment)

Abstract

:
Thermal refurbishment of buildings results in certain energy, financial, and environmental effects. Such investments are financially supported in Poland after meeting the legally defined conditions of thermal protection and energy consumption. This paper presents a complex thermal modernization of a school building, performed by following Polish regulations. A detailed description of the studied object was given, and the calculation procedure was described. Then an optimal variant of an investment and an ex-post analysis were described. Simple payback time (SPBT) of modernization measures was from 15.8 years (insulation of the ceiling under the unheated attic) to 87 years for insulation of the wooden external wall, with 35.6 years for the whole project, which is shorter than the predicted lifespan of the whole building (50–70 years). Annual calculated heating demand decreased from 464.78 to 168.73 GJ, resulting in the primary energy consumption indicator (EP) of 484.44 and 129.46 kWh/m2, respectively. Thermal refurbishment with the replacement of an old boiler into a new wood-pellet one resulted in a significant reduction of SO2 and dust emissions from 451 to 27.5 kg and from 399 to 13 kg, respectively.

1. Introduction

Buildings in Poland are responsible for over 30% of the total energy consumption. Because of the rising energy prices and environmental pollution since the end of 1980s, energy conservation emerged as one of the most important economic and policy issues. Numerous efficiency-related law regulations and support schemes have been introduced for these purposes [1,2,3,4,5]. In 1998, the Thermal Modernization Law was introduced [6] and the Thermal Modernization Fund was put into service [7]. To receive financial support, an energy audit was required. In the audit, an assessment of the technical condition of a building and heat source had to be performed, and the most advantageous modernization solution for an investor, including costs of its implementation, calculation of the level of anticipated savings, and the simple payback time (SPBT), had to be indicated. If required energy savings were achieved, based on audit recommendations, an optimal project was chosen for the implementation.
Because Poland is the heating-dominated country [8,9,10] at the beginning the most important issue was thermal modernization [11,12] mainly involving envelope insulation and new plastic PVC windows. In practice, energy auditors commonly did not take into account thermal comfort issues [13], focusing only on assuming standard requirements in auditing calculations. Moreover, residents, to lower their heating bills during the heating season, commonly minimized cooling of flats by external air infiltration installing cheap airtight windows, without trickle vents, reducing the exchange of used and fresh air and moisture removal [14]. Lack of awareness and higher costs of windows with trickle vents were indicated [15] as the main reasons for the deterioration of microclimatic conditions in apartments. Thus, special attention was required during the design and construction process [16] as well as monitoring during everyday use. Despite these problems, that scheme resulted in a significant reduction of heating energy [8,17,18,19] and profited over 45,000 buildings, from which over 95% were multi-family buildings [9,20], increasing their market value [21]. However, there is still not modernized significant part of the building stock in Poland [22,23]. Of these, educational buildings are of particular importance for several reasons. Primary and secondary schools in Poland are run by local governments [24,25]. They are interested in reducing the operation costs of schools significantly, dependent on energy consumption for heating and lighting. The second problem comes from the technical conditions of buildings. Between 1954 and 1979, there were built in Poland 17.9 thousand (46%) educational buildings, for a total of 38.9 thousand estimated in 2010 [26]. Their heating demand is relatively high due to the liberal requirements of thermal protection of buildings at that time [5]. Recent national evaluation [20] indicates that 60% of educational buildings have improved energy performance. Therefore, a significant number of them still require modernization.
Because energy consumption in schools depends on many technical, operational, and organizational factors [27], the proper choice of criteria used to assess the optimal variant of a modernization project is a very complex task. Nevertheless, building codes simplify this issue, providing energy-effectiveness requirements clearly and coherently [28]. Their renovation was willingly taken in Poland, especially in cases of very energy-consuming objects, because of favorable financial support and relatively short calculated payback time of the investment [29].
Numerous examples of thermal modernizations of educational buildings in Poland have been presented recently [30,31,32,33,34,35,36,37,38], but economic evaluations were very simple and limited to SPBT or operation costs calculations. The energetic effect was in the foreground, but not linked to the investment cost and its projected lifetime.
On the other hand, also many authors have presented more complex methods that require complicated calculations or dedicated computer programs. Among different indicators and assessment methods there were used Net Present Value (NPV) [39], global cost [40], macroeconomic and a financial cost [41], multi-objective optimization [40], or life cycle assessment (LCA) [42,43,44]. These comprehensive approaches differ from those adopted in Polish regulations [45], but the general direction is the same-selection of the measure with the lowest SPBT to choose optimal variant of investment.
Analyses of environmental effects were limited mainly to CO2 emissions [46,47,48]. However, this is too simplistic when it comes to burning fossil fuels, especially for fine coal or other poor quality fuels, burnt in old and inefficient boilers [49,50,51].
In recent years, new regulations and standards regarding energy consumption in newly built and rebuilt buildings have been introduced in Poland [1,5,19,22,52]. According to formal requirements, SPBT is used to select the optimal variant of modernization. In general, thermal modernizations usually consist of several parts which differ in resulting energy savings, investment costs, and SPBT [29]. However, it is the final result of the whole project in terms of reducing energy consumption that is the most important and is the basis for its evaluation. Sometimes some long payback investments must be made to achieve the desired final result.
Three important observations emerge from the presented review. The first is a significant number of school buildings over 40 years old requiring modernization to improve their energy efficiency. The second concerns the profitability assessment of planned modernizations, taking into account the age of the buildings, their payback time, and durability. A more detailed analysis of the environmental effects should also be carried out to obtain a more complete picture of the effects of the investment.
This paper aims to fill this gap coherently presenting in detail the abovementioned issues, by providing a complete description of the completed thermal modernization investment, starting from pre-investment conditions, through energy audit and investment design to the finished project.
In the next section, legal regulations related to energy auditing of buildings in Poland are briefly described, and the procedure to select the optimal variant of the modernization investment is given in detail. Then the case school building is presented, including its energy audit and detailed evaluation of energy, economic, and environmental effects of the completed modernization investment. Then final remarks are given.

2. Legal Environment for Thermal Modernization of Buildings in Poland

Thermal modernization requires expenses for its implementation. Many building owners may not complete the necessary retrofits without additional financial support. This issue is included in several legal acts, as follows:
  • Act of 21 November 2008 on supporting thermo-modernization and renovation (Journal of Laws of 2008, No. 223, item 1459) [53].
  • Regulation of the Minister of Infrastructure on the detailed scope and form of the energy audit and part of the renovation audit, audit card templates, as well as algorithms for assessing the profitability of a thermo-modernization project [54].
  • Regulation of the Minister of Infrastructure and Development on the methodology for determining the energy performance of a building or part of a building and energy performance certificates [55].
  • Ordinance of the Minister of Infrastructure on technical conditions to be met by buildings and their location [56].
  • Regulation of the Minister of Economy on the detailed scope and method of preparing an energy efficiency audit, the template of an energy efficiency audit card, and methods of calculating energy savings [57].
Act on supporting thermo-modernization and renovation specifies the rules of financing them from the Thermo-Modernization and Renovation Fund [58,59,60]. It defines thermo-modernization projects as follows:
(a)
The improvement resulting in a reduction in the demand for energy supplied for heating and/or domestic water heating in residential and public utility buildings,
(b)
An improvement resulting in a reduction of energy losses in local heating networks and supplying them local heat sources for abovementioned objects, if they the energy requirements specified in other regulations,
(c)
The realization of a network connection to a centralized heat source, in connection with the liquidation of a local heat source,
(d)
Total or partial conversion of energy sources to renewable sources or the use of high-efficiency cogeneration.
An investor, carrying out one of the abovementioned tasks, may receive thermo-modernization premium as a payoff loan. It is granted in the following amounts:
  • 16% of the project costs,
  • 21% of the project costs-in the case of when, along with the implementation of the thermal modernization project, a micro-installation of a renewable energy source with a maximum capacity of at least 1 kW in a residential single-family building or 6 kW in other buildings.
The condition for receiving the premium is an energy audit, performed following the regulation [54]. In this audit, the profitability of a thermo-modernization project is checked to verify the requirements of the act [53], and an optimal variant of an investment project is chosen. The ordinance [56] establishes maximum permissible values of primary energy consumption indicator (EP) and heat-transfer coefficient for external walls for different kinds of buildings [61]. In Reference [55], a calculation procedure to obtain primary energy (EP), final energy (EK), and usable energy (EU) indicators is given. That procedurewas presented, in detail, recently [62,63,64,65,66,67,68,69].

3. Optimal Variant of Thermal Modernization

3.1. Introduction

Supported investment is chosen from a set of measures indicated in the energy audit following their SPBT. Application of the given measure results in energy savings. These parameters are calculated by following the procedure given in Reference [54]. It is divided into different kinds of modernization measures:
  • Reduction of heat transfer through walls, ceilings, and flat roofs;
  • Replacement of windows or doors and the improvement of the ventilation system (natural and mechanical exhaust ventilation);
  • Reduction of energy demand by a mechanical supply and exhaust ventilation system.
In all cases, a similar calculation scheme was used, but because of their application in the considered project, the two first cases are described.

3.2. Calculation Procedure

From the comparison of modernization measures with the same range of technical improvements, the optimal one is selected, i.e., with the shortest simple payback time. For a given improvement, SPBT is calculated from the relationship:
SPBT = Cn/ΔOrU,
where Cn—planned costs of works, PLN (1 EUR ≈ 4.50 PLN); ΔOrU—annual energy cost savings resulting from the application of thermo-modernization improvement, per year for the n-th improvement, PLN/year.
The value of the annual energy-cost savings, ΔOrU, for the n-th source of heat loss, for which given modernization measure is applied, is calculated from the formula:
ΔOrU = (x0·Q0u·O0z−x1·Q1u·O1z)+12·(y0·q0u·O0u−y1·q1u·O1m)+12·(Ab0−Ab1),
where x0, x1—the share of the nth source in heat demand before and after the thermal modernization improvement, respectively; Q0u, Q1u—annual heat losses before and after the thermal modernization improvement, respectively, GJ/year,
O0z, O1z—Variable fee related to the distribution and transmission of a unit of energy used for heating before and after the thermal modernization improvement for the nth source, respectively, PLN; y0, y1—the share of the nth source in the demand for thermal power before and after the thermal modernization improvement, respectively; q0u, q1u—heat power demand to cover heat losses before and after the thermal modernization improvement, respectively, MW; O0m, O1m—a fixed monthly fee related to the distribution and transmission of energy used for heating before and after the thermal modernization improvement for the nth source, respectively, PLN; Ab0, Ab1—monthly subscription fee before and after the thermal modernization improvement for the nth source, respectively, PLN/month.
Annual heat demand to cover heat transfer losses through external partitions is calculated from the following formula:
QOu, Q1u = 8.64 · 10−5 · Dd · A · Uc, GJ/year,
where Uc—The value of the heat transfer coefficient of the building partition, W/(m2 ∙ K), A—Total area of a partition before and after modernization, m2, Dd—Number of degree days, calculated from the following formula:
Dd = m = 1 Nm ( t w 0 t e ( m ) ) N d ( m ) ,   K   ·   d
where tw0—internal design temperature in heated rooms, °C; te(m)—monthly average outdoor air temperature, °C; Nd(m)—number of heating days in the month, m; Nm—the number of months of heating during the year.
Annual heat demand when the ventilation air is not supplied through a window or wall diffusers, windows or doors, is calculated from the following formula:
Q0, Q1 = 8.64 · 10−5 · Dd · Awd · U + Qinf, GJ/year,
where U—heat transfer coefficient of the window or door, W/(m2 ∙ K); Awd—total area of windows or doors, m2; Qinf—annual heat demand for heating the undesirable airflow through window and door leaks, GJ/year, calculated from the following formula:
Q 0 inf , Q 1 inf = 1.43 10 6 a l m = 1 Nm ( t w 0 t e ( m ) ) 5 / 3 Ld ( m ) ,
where a—air-flow coefficient through the gaps of windows or doors given in Reference [54], m3/(m · h · daPa2/3); l—length of the external rebate gaps of windows or doors, m.
Annual heat demand when the ventilation air is supplied through wall diffusers, windows, or doors is calculated from the following formula:
Q0, Q1 = (8.64 · Sd · AOk · U + 2.94 · cr · cw · Vnom · Dd) · 10−5, GJ/year
Thermal power required to cover losses by transmission is calculated from the following:
q0u, q1u = 10−6 · A · (tw0−tz0) · Uc,
where tzo—design outdoor air temperature for a given climatic zone, determined under the PN-EN12831 standard [70], °C.
Thermal power to cover heat losses through windows and doors when the ventilation air is not supplied through a window or wall diffusers, windows, or doors is calculated from the following formula:
q0, q1 = 10−6 · AOk · (two−tzo) · U + 1.65 · 10−8· a · 1 · (two − tzo)5/3,
Thermal power demand when the ventilation air is supplied through a window or wall diffusers, windows, or doors is given by the following:
q0, q1 = 10−6 · AOk · (two−tzo) · U + 3.4 · 10−7 · Vobl · (two − tzo),
If a heating system is planned to be modernized, the value of the annual energy cost savings is given by the following:
ΔOrU = (x0 · wt0 · wd0 · Q0H · O0z0−x1 · wt1 · wd1 · Q1H · O1z1) + 12 · (y0 · q0m · O0m−y1 · q1m · O1m) + 12(Ab0−Ab1),
where Q0H, Q1H—annual heating demand of a building, GJ/year; η0, η1—total efficiency of the heating system before and after modernization, respectively; wt0, wt1—factors taking into account no-heating periods during a week; wd0, wd1—coefficients taking into account no-heating during the day; q0m, q1m—the building’s demand for thermal power before and after modernization project, respectively, MW.
The total efficiency of the heating system is calculated from the following:
η0, η1 = ηg · ηd · ηe · ηs,
where ηg—heat generation efficiency, ηd—heat distribution efficiency, ηe—efficiency of control, and ηs—heat accumulation efficiency.

3.3. Selection of an Optimal Variant

Each modernization measure is considered in a minimum of two variants with the same range of improvements. SPBT, ΔSn, Q0, Q1, q0, and q1 are calculated. The optimal variant of a given measure is that of the shortest SPBT. Then they are arranged by increasing SPBT value. The first variant of modernization includes the first optimal measure, the second one-the first and second measure, etc. For each of them, the following are calculated:
  • Total costs (Cn), including the costs of preparing an energy audit and technical documentation, as well as costs related to the compliance with the applicable technical and construction regulations, also if this action does not bring energy savings,
  • Annual savings ΔOrU to be obtained as a result of the completed works are calculated from the following formula:
    ΔOrU = wt0 · wd0 · Q0H · O0H0 · O0z−wt1 · wd1 · Q1H1 · O1z + 12 · (q0m · O0m−q1m · O1m] + 12(Ab0−Ab1),
  • Reduction (in %) of heat demand to the initial state before thermal modernization, Taking into account the total efficiency,
  • The amount of own funds and the loan amount,
  • Calculation of the amount of the thermo-modernization premium.
The first of the following variants, for which the SPBT value meets the requirements of the act, is considered optimal. Then, thermo-modernization premium can be received.

4. Case Object

The considered school is located in Trębowiec, in Central Poland. The nearest meteorological station for which long-term observations and typical meteorological year are available is located in Kielce [71], 58 km southwest of Trębowiec. Mean annual temperature for the period 1971–2000 amounted 7.5 °C and varied from −2.1 °C in February to 17.7 °C in July. However, more significant deviations were also noticed (Figure 1b).
According to PN-EN12831 [70,72,73], Trębowiec is located in the III climatic zone. Following its provisions and legal requirements given in Reference [56], the design conditions for the considered location were assumed (Table 1).
The school is a three-story building built in 1970 in traditional technology from bricks (Figure 2). It has a total heated volume and area of 2807 m3 and 981 m2, respectively, including a residential part (two flats) of 142.70 m2. The number of pupils was 60.
Due to high exploitation costs of the building, local authorities commissioned an energy audit in terms of the possibility of lowering building operating costs by reducing building heat losses and improving energy efficiency and using investment support mechanisms to meet legal requirements for buildings in force from the 2021 year, called WT2021 (Technical Conditions 2021) [56,74].
Taking into account conclusions presented in Section 1,it can be stated that the building is representative for a significant part of Polish schools: It was built before 1980 and is located in the third climatic zone, the largest in area of all five zones. Moreover, typical building materials were used, and a typical central heating system was applied.

5. Energy Audit

5.1. Introduction

An on-site inspection showed that the brick and wooden external walls, the wooden ceiling under the unheated attic, and concrete floors on the ground and in the basement were not insulated. The wooden roof was partially insulated with 14 cm thick mineral wool. Old external doors and PVC windows didnot meet the standards (Table 2).
Performed energy audit revealed several important disadvantages and sources of losses and indicated ways of improvement:
  • Reduction of heat losses through external partitions—recommended additional insulation;
  • Reduction of heat losses through leaky windows and by ventilation air-application of controlled ventilation with the use of diffusers;
  • Increasing the efficiency of central heating installations/replacement of the coal-fired boiler room with a new automatic, efficient biomass boiler. Modernization of piping and radiators;
  • Tap water and lightingdonot require modernization;
  • New on-grid photovoltaic installation to partially cover electricity consumption.
Additional insulation of the roof was not considered, because the attic was neither heated nor used. Therefore, the insulation of the ceiling under the attic was sufficient. It was also not planned insulation of the floor on the ground, due to the high costs associated with a wide range of construction works and practical limitations resulting from the necessity to exclude these rooms from use.

5.2. Modernization of External Partitions

An evaluation of the profitability of improvements regarding the reduction of heat losses by transmission through external partitions and by ventilation air was performed in several steps, for external partitions, windows, and doors. Then a list of optimal variants of modernization measures in order according to increasing SPBT was composed.
For external walls, additional insulation with expanded polystyrene (EPS) with a thermal of λ = 0.032 W/m∙K. The calculation of thermal resistance takes into account the cement-cement plaster lime layer on the insulation with a thermal conductivity coefficient of λ = 0.82 W/m∙K and thickness of d = 0.01 m. Three options were considered, differing in the thickness of the thermal insulation layer:
  • Variant 1: with a thickness of the insulation layer at which the thermal resistance requirement WT2021 will not be met,
  • Variant 2: with insulation 2 cm thicker than in the Variant 1 meeting WT 2021,
  • Variant 3: with insulation 2 cm thicker than in the Variant 2.
There was also recommended replacement of existing windows into windows with better U-values and with diffusers was considered in two variants:
  • Variant 1: windows with the coefficient U = 1.1 W/m2K (WT2017).
  • Variant 2: windows with the coefficient U = 0.9 W/m2K (WT2021).
Existing external doors were also indicated to be replaced into that with better U-values was considered in two variants:
  • Variant 1: doors with the coefficient U = 1.5 W/m2K (WT2017).
  • Variant 2: doors with the coefficient U = 1.3 W/m2K (WT2021).

5.3. Modernization of the Heating System

The important part of the planned modernization was the replacement of an old coal-fired boiler and inefficient heating distribution system into new biomass (wood pellet) boiler with a capacity of 70 kW with a vertical exchanger and an automatically cleaned tilting cast iron grate, with an automatic start and stop circuit, with a pneumatic fuel transport system to the boiler and a 1000 L buffer tank. Moreover, replacement of existing central heating installation into cast iron radiators for plate (35 pcs.) with thermostatic valves was planned. The parameters of both systems are presented in Table 3.

5.4. Energy Consumption for Heating

To evaluate energy effects heating consumption in the current state was calculated in the Audytor OZC [74,75,76] program (Version 6.8 Pro, Sankom, Warsaw, Poland), by applying the monthly method of PN-EN ISO13790 [77]. The model of the building was created (Figure 3), and all partitions were defined according to the documentation and verification during the on-site examination.
Annual heating demand was 464.78 GJ and varied, excluding the non-heating period from June to August, from 3.87 GJ in May to 88.79 GJ in February (Figure 4). The most significant annual losses were that through external walls and amounted 412.29 GJ. Assuming total efficiency of the heating system and heating breaks given in Table 3, energy saving, calculated at the input to the boiler (fuel) resulting only from heating-system replacement, was evaluated at 222.43 GJ. The heating demand for domestic hot water (DHW) preparation remained the same: QDHW = 29.7 GJ.

6. Economic and Energy Analysis of Modernization

6.1. Introductory Analysis

Following outcomes presented in Section 4, algorithm from Section 3, and assumptions given in Table 1, calculations were performed for selected partitions according to the audit’s recommendations. Unit prices of 1 m2 insulation were assumed according to the Sekocenbud nationwide (Polish) price list. Prices of materials were assumed according to the offers of local contractors. VAT of 23% on construction materials was included.
Performed calculations showed that the largest reduction of energy consumption for heating could be obtained for the new heating system (222 GJ). The external brick walls and ceiling modernization and window replacement (Figure 5a) could also bring significant effects. They amounted, depending on the variant, from 160 to 165 GJ, from 147 to 151 GJ, and from 113 to 125 GJ, respectively.
In addition to the heating system (329,000 PLN), a very expensive part of the planned investment (Figure 5b) was windows replacement: from 138,596 to 149,833 PLN. External brick walls and ceiling insulation were valued from 78,696 to 83,774 PLN and from 70,798 to 74,843 PLN, respectively. The unit cost of works, computed per 1 m2 of the renewed area, was from 190.65 to 202.95 PLN/m2 and from 212.25 to 227.55 PLN/m2 for external walls and ceiling, respectively. For windows and doors, it was several times greater and was from 910.20 to 984.00 PLN/m2 and from 1156.20 to 1230.00 PLN/m2, respectively.
Modernization of external brick walls, ceiling and windows were the costliest parts of the planned investment. It was so because of the large areas in these cases. However important, the total cost is not the only factor deciding about the implementation of the investment. The effectiveness of the considered project can be shown in several ways. Two of them are presented in Figure 6.
The most effective modernization measure was the insulation of the ceiling which resulted in the cost of 480.00 to 496.31 PLN per 1 GJ of saved heating energy. Moreover, the external brick wall presented a similar level of effectiveness: from 493.52 to 507.47 PLN/GJ. The least effective was the improvement of the wooden wall, resulting in savings of 1 GJ for the price from 2759.07 to 2658.97 PLN. Despite the largest reduction of energy consumption resulting from heating system replacement, its high cost resulted in the moderate cost of saved energy: 1479.12 PLN/GJ. This tendency was also expressed directly in the SPBT values (Figure 6b).
For comparison, results from several studies related to thermal refurbishment were given here. Ferrari and Romeo [78] presented an evaluation of the historical Italian school building modernization to meet the nearly Zero Energy Building (nZEB) standard. Calculated unit cost of roof insulation = 39.1 EUR/m2, basement insulation = 44.7 EUR/m2, external wall insulation = 55.9 EUR/m2, and new windows = 326.9 EUR/m2. The retrofit of a school (1641 m2 of occupied area) in Spain to the nZEB standard [79] resulted in unit investment costs from 75.6 EUR/m2 for insulation under cantilevered floors, 97.0 EUR/m2 for ceiling insulation (15 cm) to 115.1 EUR/m2 for external wall insulation (15 cm XPS). More expensive was a replacement of old windows into new with double glazing low emissivity: 578.7 EUR/m2, and window area enlargement in south and east façade cost 1232.5 EUR/m2. The cost of the photovoltaic system (305 m2) amounted 108,050.01 EUR. The total investment cost of 1,369,276.40 EUR resulted in annual heating and electricity savings of 830,573.00 EUR and 567,657.00 EUR, respectively, and SPBT = 41 years.
In Reference [80], detailed calculation of the total cost for retrofit of the Portuguese residential building, including replacement of the existing windows with double glass, insulation of external walls (7 cm brick wall+ 10 cm EPS), insulation of the concrete slab (6 cm EPS), and application of vinyl floor coating over EPS, 20 mm thick, resulted in the value of 62.44 EUR/m2. Unit prices for 5 cm thick standard EPS insulation (λ = 0.038 W/m∙K) and EPS with λ = 0.03 W/m∙K of 2.3 EUR/m2 and 2.7 EUR/m2, respectively, were given in Reference [81].

6.2. Optimal Variant

According to previous assumptions, between auditors and investor (local authority) in all cases, Variant 2 was chosen, i.e., fulfilling legal requirements for the year 2021 (WT2021). As a result, the target physical condition of the modernized partitions was determined. Thanks to this, it was possible to calculate the heat demand for heating the building before and after the planned investment and to fully evaluate it. Then all measures were arranged according to the increasing SPBT value, as shown in Table 4. Annual energy cost savings were estimated at 20,525.56 PLN and a reduction of the final energy demand at 64.3%. This variant was accepted for further implementation.

7. Ex-Post Analysis

7.1. Energy Effects

The modernization works were completed in August 2018, and the school was put into operation (Figure 7). Two biomass-fired boilers, 38 kW each, were also installed (Figure 8). Additionally, a 5.4 kWphotovoltaic installation was installed in the building.
According to the ex-post audit, heating consumption decreased to 168.73 GJ and varied from 0.28 GJ in May to 38.27 GJ in February. Ventilation heat loss was still the most significant part of the thermal balance (Figure 9), but the reduction of heat losses through external partitions is noticeable.
The effectiveness of the analyzed project can be also described by several indicators defined in Polish regulations (Table 5). Total heat demand for space heating and domestic hot water decreased by 70.0%. Electricity consumption from the electrical grid (EE), thanks to the installation of photovoltaic (PV) panels, was reduced by 18.8%. Usable energy (EU) for heating ventilation and DHW, decreased by 57.7%, from 173.80 to 73.60 kWh/m2.
Maximum allowable primary energy consumption (EP) for schools, including heating, ventilation, domestic hot water and lighting (lighting operation time per year shorter than 2500 h), set in Polish law [55] was 110 and 70 kWh/m2, since 1 January 2017 and 31 December 2020, respectively. Although in the case of a building undergoing reconstruction, the fulfillment of the EP condition is not required, it is worth comparing these data, in order to be aware of how much these non-modernized buildings differ in their energy standard from the current requirements.
Several studies also presented results of energy performance investigations in European schools. In the study [82] on energy consumption in ten Greek schools, estimated total primary energy consumption (heating, hot water, and lighting) varied from 91.3 to 628.5 kW/m2. According to Reference [83] primary heating energy in primary schools was from 119 kWh/m2 in the Netherlands, 164 in the UK, 165 kWh/m2 in Finland to 175 kWh/m2 in Denmark. In Reference [84] estimated heating energy consumption in three Finnish schools was from 116 to 157 kWh/m2 and from 115 to 140 kWh/m2 before and after their modernization, respectively. In a review for different European countries and kinds of schools [85], total energy consumption was from 52 to 197 kWh/m2.
Annual electricity consumption per usable floor area decreased in the analyzed school from 31.1 to 25.6 kWh/m2. In Reference [83], values of 28 to 51 kWh/m2 in Dutch and UK schools, respectively, were given. In Finnish conditions [84], they amounted from 57 to 72 kWh/m2 and from 57 to 63 kWh/m2 before and after an upgrade, respectively.
Alsabry [86] presented calculation results from energy audits of forty different buildings in Zielona Góra (West Poland). For four schools, the highest final energy use for heating was in buildings built before 1970 and amounted to about 400 kWh/m2. In the group built between 1970 and 1995, it amounted to about 230 kWh/m2. For objects built after 2008, this parameter was 200 kWh/m2. The average efficiency of the central heating and DHW systems was from 51% and 56% to 78% and 50% before and after modernization. The total efficiency of the central heating and DHW installations in buildings built from 1970 to 1995 was from 73% and 55% to 78% and 55% before and after modernization, respectively. EK and EP indicators decreased from 394 and 549 kWh/m2 to 318 and 473 kWh/m2, accordingly. The average reduction of EU amounted to 24 kWh/m2.
Życzyńska et al. [37] discussed the effects of an 8-years monitoring campaign before and after thermal renovation of nine education buildings (two kindergartens and seven schools) built between 1961 and 1985 and located in Southeast Poland. Their heating demand was from 131.4 to 409.2 kWh/m2 and from 62.6 to 240.7 kWh/m2 before and after retrofit, respectively. The average heating energy saving was from 35% to 57%.

7.2. Environmental Effects

To estimate the environmental effects of the given modernization investment air pollutants emissions are determined before and after its implementation [87]. Annual emission of pollutants, E0 and E1, before and after modernization, respectively, is given by the following relationship:
E0, E1 = B ∙ EF
if the emission factor, EF, is given per unit of used fuel. B is an annual amount of used fuel. When EF is given per unit chemical energy in the fuel, that equation is modified:
E0, E1 = B ∙ w ∙ EF
where w is calorific value, published by the National Centre for Emissions Management (KOBiZE) [88] for typical fuels used in Poland. This institution also updates and publishes every year emission factors for electrical energy. They may change due to the modernization and development of the Polish power plants and power networks. For this reason, different values of EF for electricity were assumed in the considered audit for the state before and after modernization (Table 6). Values for hard coal were calculated following [89] taking into account the quality of coal used in the school. In the next step electricity, coal and wood consumption was calculated (Table 7) assuming w = 20.7 MJ/kg and 9.69 GJ/m3 for coal and wood, respectively. From this, applying Equations (14) and (15) annual emissions of pollutants were derived (Table 8). A complete view of effects was obtained taking into account 5233 kWh generated by the PV installation.
The most significant, over 30 times, was the reduction of dust emission. On the second position was sulfur dioxide emission reduced over 14 times. These values are better when considering the PV installation. A very important aspect of the use of fuel from wood waste is, in the case of the analyzed location, the use of locally available energy resources.

7.3. Durability Analysis

Over time, the physical properties of materials change due to the influence of several factors: atmospheric, operational and accidental events. For this reason, the durability of various materials has been tested for many years in terms of the loss of their operational properties, important for the user.
Several studies considering the exploitation durability of building materials and components of their technical systems have been published recently. In Reference [94], a review of windows constructions and their parameters was presented.
Based on the considered studies, authors estimated the lifespan of windows to be from 25 to 40 years. For PVC, aluminum and wood frames it ranged from 30 to 50 years, whereas for glazing it was about 20 years. Maia et al. [95] analyzed 173 aluminum and 41 wooden window frames. The estimated service life of aluminum and wooden frames was between 37 and 41 years and about 28 years, respectively. Gulck et al. [96] studied facades renovation strategies of apartment buildings in Flanders. The typical lifespan of EPS, stone wool, and PUR was over 60 years. The lifespan of buildings is estimated usually at 50–100 years [97,98,99]. The results presented in other studies are shown in Table 9.
The school was built in 1970. During modernization, it had 47 years. In such a case, it seems advisable to carry out additional examinations of the technical condition of the building partitions to be insulated before the construction works are carried out. Almost 50 years of exposure to weather conditions on the site cause aging of many elements. However, in the energy audit of the school, the problem of its technical condition was treated in a simplified manner. Based on the on-site inspection, it was only stated that “the general condition of the building’s structural elements is bad”. The faults noticed in more detail were not indicated. Therefore, it should be concluded that this opinion concerned the generation of heat losses, and their structural condition (operational safety) did not raise any doubts.
Because the school was built in traditional technology, from bricks on the concrete foundation, it may be assumed that its lifespan is about 100–120 years. This gives about 50–70 years of perspective operation. A comparison of this value with SPBT shown in Table 4 may lead to the conclusion of the legitimacy of some modernization measures with the longest SPBT. In this case, the insulation of the wooden external wall has SPBT of 87 years, and it will not pay off over the lifetime of the building. On the other hand, it cost only 1.52% of the total cost, which had almost no impact on the whole project. If not implementing this part of the modernization, a full assumed energy effect would not be reached. This example shows that such situations arise in real cases and should be approached carefully, so as not to squander the possibility of modernization and, on the other hand, to avoid unnecessary public spending.

8. Conclusions

Implementation of the described project resulted in a noticeable reduction of energy demand for space heating from 464.78 to 168.73 GJ. Primary energy consumption (EP) decreased from 484.4 to 129.5 kWh/m2. Presented completed combination of thermal refurbishment with heating system modernization and installation of photovoltaic modules resulted also in significantly lower annual emissions of sulfur dioxide and dust: from 450.91 to 27.50 kg and from 399.07 to 12.99 kg, respectively.
Moreover, attention was paid to economic issues. Required by Polish regulation, simple payback time was calculated for all, indicated in audit, modernization measures. It was from 15.8 years for additional insulation of the ceiling under the unheated attic, 16.1 years for insulation of the external brick wall to 70 years for modernization of the central heating installation, and 87 years for insulation of the wooden external wall.
The building was put into use in 1970. As the technical condition of the building’s construction elements did not raise any objections, its useful life, as can be assumed in the literature, is 100–120 years. Considering that the payback time for the entire project was 35.6 years, it can be assumed that this is a fully acceptable value in terms of the durability of the facility. However, this issue requires a further and more detailed economic and technical analysis, taking into account the technical condition of the building, the predicted lifespan of the building, and planned investment or the possible variations in the economic environment, especially energy price.

Author Contributions

Conceptualization, P.M. and K.S.; methodology, K.S.; software, K.S.; validation, P.M.; formal analysis, K.S. and J.S.; investigation, P.M.; resources, K.S.; data curation, K.S.; writing—original draft preparation, P.M.; writing—review and editing, P.M.; visualization, J.S.; supervision, P.M. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statements

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References and Notes

  1. Życzyńska, A.; Cholewa, T. The profitability analysis of enhancement of parameters of the thermal insulation of building partitions. Arch. Civ. Eng. 2014, LX, 335–347. [Google Scholar] [CrossRef] [Green Version]
  2. Kozik, R.; Karasińska-Jaśkowiec, I. Green public procurement—Legal base and instruments supporting sustainable development in the construction industry in Poland. In E3S Web of Conferences; EDP Sciences: Les Ulis, France, 2016; p. 00044. [Google Scholar] [CrossRef] [Green Version]
  3. Ramczyk, M. Legal bases and economic conditions of applying renewable energy resources in construction industry. In MATEC Web of Conferences; EDP Sciences: Les Ulis, France, 2018; Volume 174, p. 04004. [Google Scholar] [CrossRef]
  4. Dołęga, W. Selected aspects of national economy energy efficiency. Polityka Energetyczna 2019, 22, 19–32. [Google Scholar] [CrossRef]
  5. Jezierski, W.; Sadowska, B.; Pawłowski, K. Impact of Changes in the Required Thermal Insulation of Building Envelope on Energy Demand, Heating Costs, Emissions, and Temperature in Buildings. Energies 2021, 14, 56. [Google Scholar] [CrossRef]
  6. Firląg, S.; Piasecki, M. NZEB Renovation Definition in a Heating Dominated Climate: Case Study of Poland. Appl. Sci. 2018, 8, 1605. [Google Scholar] [CrossRef] [Green Version]
  7. Wyrwa, A.; Figórski, A.; Guła, A. Policy instruments for supporting energy efficiency in Poland. Energy Environ. 2004, 15, 261–270. Available online: http://www.jstor.org/stable/43735485 (accessed on 15 February 2021). [CrossRef]
  8. Jędrzejuk, H.; Dybiński, O. The influence of a heating system control program and thermal mass of external walls on the internal comfort in the Polish climate. Energy Procedia 2015, 78, 1087–1092. [Google Scholar] [CrossRef] [Green Version]
  9. Energy Efficiency in Poland in Years 2005–2015. Central Statistical Office, Warsaw. 2017. Available online: https://stat.gov.pl/en/topics/environment-energy/energy/energy-efficiency-in-poland-in-years-2005-2015,5,13.html (accessed on 16 February 2021).
  10. Michalak, P. The development and validation of the linear time varying Simulink-based model for the dynamic simulation of the thermal performance of buildings. Energy Build. 2017, 141, 333–340. [Google Scholar] [CrossRef]
  11. Chodkowska-Miszczuk, J.; Szymańska, D. Modernisation of public buildings in Polish towns and the concept of sustainable building. Quaest. Geogr. 2014, 33, 89–99. [Google Scholar] [CrossRef] [Green Version]
  12. Sadowska, B. Effects of deep thermal modernization and use of renewable energy in public buildings in north-eastern Poland. In Proceedings of the 20th International Scientific Conference Engineering for Rural Development, Jelgava, Latvia, 26–28 May 2018; Malinovska, L., Osadcuks, V., Eds.; Latvia University of Life Sciences and Technologies: Jelgava, Latvia, 2018; pp. 1870–1875. [Google Scholar] [CrossRef]
  13. Nowak-Dzieszko, K.; Rojewska-Warchał, M. Thermal comfort of the individual flats of multi–family panel building. Tech. Trans. Civil. Eng. 2014, 5-B/2014, 201–206. [Google Scholar] [CrossRef]
  14. Orzechowski, T.; Orzechowski, M. Energy savings due to building insulation of different thickness. In E3S Web of Conferences; EDP Sciences: Les Ulis, France, 2017; Volume 14, p. 01030. [Google Scholar] [CrossRef] [Green Version]
  15. Blaszczok, M.; Baranowski, A. Thermal improvement in residential buildings in view of the indoor air quality—Case study for Polish dwelling. Arch. Civ. Eng. Environ. 2018, 11, 121–130. [Google Scholar] [CrossRef] [Green Version]
  16. Gładyszewska-Fiedoruk, K.; Krawczyk, D.A. The possibilities of energy consumption reduction and a maintenance of indoor air quality in doctor’s offices located in north-eastern Poland. Energy Build. 2014, 85, 235–245. [Google Scholar] [CrossRef]
  17. Energy Efficiency in Poland in Years 1997–2007, Central Statistical Office, Warsaw. 2009. Available online: https://stat.gov.pl/cps/rde/xbcr/gus/ee_energy_efficiency_in_Poland_1997-2007.pdf (accessed on 21 February 2021).
  18. Szul, T. The consumption of final energy for heating educational facilities located in rural areas. J. Res. Appl. Agric. Eng. 2017, 62, 71–175. Available online: https://www.pimr.eu/wp-content/uploads/2019/05/2017_1_TS.pdf (accessed on 16 February 2021).
  19. Lis, P. Estimated potential for energy savings in heating residential buildings in Poland. E3S Web of Conferences; EDP Sciences: Les Ulis, France, 2018; Volume 49, p. 00068. [Google Scholar] [CrossRef] [Green Version]
  20. The potential for Investment in Energy Efficiency through Financial Instruments in the European Union—Poland in-Depth Analysis. European Commission 2020, Brussels. Available online: https://www.fi-compass.eu/erdf/potential-investment-energy-efficiency-through-financial-instruments-european-union/poland (accessed on 20 March 2021).
  21. Gołąbeska, E. The impact of the energy efficiency of the building to its market value. Econ. Environ. 2019, 70, 55–62. [Google Scholar] [CrossRef]
  22. Krawczyk, D.A. (Ed.) Buildings 2020+. Constructions, Materials and Installations; Printing House of Bialystok, Univesity of Technology: Bialystok, Poland; Cordoba, Spain; Vilnius, Lithuania, 2019. [Google Scholar] [CrossRef]
  23. Księżopolski, K.; Drygas, M.; Pronińska, K.; Nurzyńska, I. The Economic Effects of New Patterns of Energy Efficiency and Heat Sources in Rural Single-Family Houses in Poland. Energies 2020, 13, 6358. [Google Scholar] [CrossRef]
  24. Hybka, M.M.; Kaczyńska, A. Financing Primary Education in Poland—Challenges and controversies. In Proceedings of the 2nd International Conference on Institutional Leadership, Learning & Teaching (ILLT), Cambridge, UK, 20–21 September 2016; Available online: https://cberuk.com/cdn/conference_proceedings/2019-07-20-11-55-01-AM.pdf (accessed on 20 March 2021).
  25. Wojniak, J.; Majorek, M. Polish education system under 2017 reform: Assumptions, aims and controversies. In SHS Web of Conferences; EDP Sciences: Les Ulis, France, 2018; Volume 48, p. 01043. [Google Scholar] [CrossRef]
  26. Firląg, S.; Staniaszek, D. Financing Building Energy Performance Improvement in Poland; Project: Energy Efficiency in EU Buildings; Buildings Performance Institute Europe (BPIE): Brussels, Belgium, 2016. [Google Scholar] [CrossRef]
  27. Bernardo, H.; Gaspar, A.; Henggeler Antunes, C. A Combined Value Focused Thinking-Soft Systems Methodology Approach to Structure Decision Support for Energy Performance Assessment of School Buildings. Sustainability 2018, 10, 2295. [Google Scholar] [CrossRef] [Green Version]
  28. Aminu Umar, U.; Khamidi, M.F.; Shika, S.A.; Musa, U. Towards Building Energy Efficiency for Developing Countries. Bonfring Int. J. Ind. Eng. Manag. Sci. 2013, 3, 13–19. [Google Scholar] [CrossRef] [Green Version]
  29. Krawczyk, D.A. Retrofitting of a Heritage Building–Technical and Legal Constraints, Possible to Achieve Economic Effect. Int J. Struct. Civ. Eng. Res. 2019, 8, 277–279. [Google Scholar] [CrossRef]
  30. Skiba, M.; Rzeszowska, N. Analysis of the dependence between energy demand indicators in buildings based on variants for improving energy efficiency in a school building. Civ. Environ. Eng. Rep. 2017, 26, 031–041. [Google Scholar] [CrossRef] [Green Version]
  31. Gradziuk, P.; Gradziuk, B. Economic efficiency of applying a heat pump system in heating based on the example of the Ruda-Huta commune experience. Annals PAAAE 2019, XXI, 88–96. [Google Scholar] [CrossRef]
  32. Zimny, J.; Michalak, P. The work of a heating system with renewable energy sources (RES) in school building. Environ. Prot. Eng. 2008, 34, 81–88. Available online: http://epe.pwr.wroc.pl/2008/Zimny_1-2008.pdf (accessed on 15 February 2021).
  33. Zimny, J.; Michalak, P.; Szczotka, K. The energy efficiency of a school building hybrid heating system with a heat pump. A case study. Rynek Energii 2012, 2012, 144–152. Available online: http://pga.org.pl/biblioteka/artykuly/The_energy_efficiency_of_a_school_building_hybrid_heating_system.pdf (accessed on 15 February 2021).
  34. Krawczyk, D.A. Theoretical and real effect of the school’s thermal modernization—A case study. Energy Build. 2014, 81, 30–37. [Google Scholar] [CrossRef]
  35. Lis, A.; Ujma, A. Evaluation of thermal modernization of school building in terms of energy saving. Fizyka Budowli w TeoriiiPraktyce 2016, VIII, 15–20. Available online: http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.baztech-03d9ce55-494f-4f04-91e2-bae0cda90905 (accessed on 15 February 2021).
  36. Tucki, K.; Sikora, M. Modernisation of a Coal-Fired Heating Plant to Switch to Woodchips, in Accordance with Logistics Principles. TEKA Comm. Mot. Energetics Agric. 2016, 16, 65–70. Available online: http://journals.pan.pl/dlibra/publication/124173/edition/108348/content (accessed on 15 February 2021).
  37. Życzyńska, A.; Suchorab, Z.; Kočí, J.; Černý, R. Energy Effects of Retrofitting the Educational Facilities Located in South-Eastern Poland. Energies 2020, 13, 2449. [Google Scholar] [CrossRef]
  38. Dec, K.; Broniewicz, E.; Broniewicz, M. The Possibility Analysis of Adapting a Public Building to the Standard of a Building with a Zero Energy Balance. Energies 2020, 13, 6389. [Google Scholar] [CrossRef]
  39. Basińska, M.; Koczyk, H.; Kosmowski, A. Assessment of thermo modernization using the global cost method. Energy Procedia 2015, 78, 2040–2045. [Google Scholar] [CrossRef] [Green Version]
  40. Basińska, M.; Kaczorek, D.; Koczyk, H. Building Thermo-Modernisation Solution Based on the Multi-Objective Optimisation Method. Energies 2020, 13, 1433. [Google Scholar] [CrossRef] [Green Version]
  41. Congedo, P.M.; D’Agostino, D.; Baglivo, C.; Tornese, G.; Zacà, I. Efficient Solutions and Cost-Optimal Analysis for Existing School Buildings. Energies 2016, 9, 851. [Google Scholar] [CrossRef] [Green Version]
  42. Dylewski, R. Optimal Thermal Insulation Thicknesses of External Walls Based on Economic and Ecological Heating Cost. Energies 2019, 12, 3415. [Google Scholar] [CrossRef] [Green Version]
  43. Dylewski, R.; Adamczyk, J. Impact of the Degree Days of the Heating Period on Economically and Ecologically Optimal Thermal Insulation Thickness. Energies 2021, 14, 97. [Google Scholar] [CrossRef]
  44. Oregi, X.; Hernández, R.J.; Hernandez, P. Environmental and Economic Prioritization of Building Energy Refurbishment Strategies with Life-Cycle Approach. Sustainability 2020, 12, 3914. [Google Scholar] [CrossRef]
  45. Dobrzycki, A.; Kurz, D.; Mikulski, S.; Wodnicki, G. Analysis of the Impact of Building Integrated Photovoltaics (BIPV) on Reducing the Demand for Electricity and Heat in Buildings Located in Poland. Energies 2020, 13, 2549. [Google Scholar] [CrossRef]
  46. Zheng, L.; Lai, J. Environmental and economic evaluations of building energy retrofits: Case study of a commercial building. Build. Environ. 2018, 145, 14–23. [Google Scholar] [CrossRef]
  47. Yan, Y.; Zhang, H.; Meng, J.; Long, Y.; Zhou, X.; Li, Z.; Wang, Y.; Liang, Y. Carbon footprint in building distributed energy system: An optimization-based feasibility analysis for potential emission reduction. J. Clean. Prod. 2019, 239, 117990. [Google Scholar] [CrossRef]
  48. Fenner, A.E.; Kibert, C.J.; Li, J.; Razkenari, M.A.; Hakim, H.; Lu, X.; Kouhirostami, M.; Sam, M. Embodied, operation, and commuting emissions: A case study comparing the carbon hotspots of an educational building. J. Clean. Prod. 2020, 268, 122081. [Google Scholar] [CrossRef]
  49. Yongtao, L.; Chao, H.; Xiuqin, M.; Fankun, W. Co-benefit Research on Energy Efficiency Reforming Project of District Heating System. Energy Procedia 2011, 5, 598–603. [Google Scholar] [CrossRef] [Green Version]
  50. Proszak-Miąsik, D.; Rabczak, S. Methods for reducing low emissions from heating devices in single-family housing. In E3S Web of Conferences; EDP Sciences: Les Ulis, France, 2018; Volume 45, p. 00069. [Google Scholar] [CrossRef] [Green Version]
  51. Kaczmarczyk, M.; Sowiżdżał, A.; Tomaszewska, B. Energetic and Environmental Aspects of Individual Heat Generation for Sustainable Development at a Local Scale—A Case Study from Poland. Energies 2020, 13, 454. [Google Scholar] [CrossRef] [Green Version]
  52. Raczyński, M.; Rutkowski, R. How Pro-Environmental Legal Regulations Affect the Design Process and Management of Multi-Family Residential Buildings in Poland. Energies 2020, 13, 5449. [Google Scholar] [CrossRef]
  53. Act of November 21, 2008 on supporting thermo-modernization and renovation. J. Laws 2008, No. 223, item 1459.
  54. Regulation of the Minister of Infrastructure of 17 March 2009 on the Detailed Scope and Form of the Energy Audit and Part of the Renovation Audit, Audit Card Templates, as well as algorithms for assessing the profitability of a thermo-modernization project. J. Laws 2009, No. 43, item 346.
  55. Regulation of the Minister of Infrastructure and Development of 27 February 2015 on the methodology for determining the energy performance of a building or part of a building and energy performance certificates. J. Laws 2015, No. 376.
  56. Ordinance of the Minister of Infrastructure of 12 April 2002 (as amended) on technical conditions to be met by buildings and their location. J. Laws 2002, No. 75, item 690, as amended.
  57. Regulation of the Minister of Economy of 10 August 2012 on the detailed scope and method of preparing an energy efficiency audit, template of an energy efficiency audit card and methods of calculating energy savings. J. Laws 2012, item 962.
  58. Borys, G. Selected directions of increasing efficiency in supporting thermomodernization in buildings from public funding. Res. Pap. Wrocław Univ. Econ. 2015, 397, 68–77. [Google Scholar] [CrossRef]
  59. Mędrzycki, R.; Szyrski, M. Energy Poverty as a European Union and Polish Legal Issue. Białostockie Studia Prawnicze 2018, 23, 125–138. [Google Scholar] [CrossRef] [Green Version]
  60. Petryk, A.; Guzdek, S. The influence of thermo-modernization on the low-stack emission reduction—A case study of a single-family house. Infrastruct. Ecol. Rural Areas 2018, 1045–1056. [Google Scholar] [CrossRef]
  61. Życzyńska, A.; Cholewa, T. The modifications to the requirements on energy savings and thermal insulation of buildings in Poland in the years 1974–2021. Budownictwoi Architektura 2015, 14, 145–154. Available online: https://ph.pollub.pl/index.php/bia/article/view/1680 (accessed on 16 February 2021). [CrossRef]
  62. Redlarski, G.; Wojdalski, J.; Kupczyk, A.; Piechocki, J. Efficiency of biomass energy used for heating purposes in a residential building in comparison with other energy sources. TEKA Comm. Mot. Energ. Agric. 2012, 12, 211–218. [Google Scholar]
  63. Basińska, M.; Koczyk, H. Analysis of the possibilities to achieve the low energy residential buildings standards. Technol. Econ. Dev. Econ. 2016, 22, 830–849. [Google Scholar] [CrossRef]
  64. Krawczyk, D.A. Analysis of Energy Consumption for Heating in a Residential House in Poland. Energy Procedia 2016, 95, 216–222. [Google Scholar] [CrossRef] [Green Version]
  65. Piotrowska, E.; Borchert, A. Energy consumption of buildings depends on the daylight. In E3S Web of Conferences; EDP Sciences: Les Ulis, France, 2017; Volume 14, p. 01029. [Google Scholar] [CrossRef] [Green Version]
  66. Bekierski, D.; Geryło, R.; Kaczorek, D.; Perczyński, P. EPBD Implementation in Poland, Status in December 2016, Concerted Action EPBD. 2018. Available online: https://www.buildup.eu/sites/default/files/content/ca-epbd-iv-poland-2018.pdf (accessed on 15 February 2021).
  67. Sobczyk, W.; Sapa, K. Energy balance in a passive solar building. An attempt at economic assessment. In E3S Web of Conferences; EDP Sciences: Les Ulis, France, 2016; Volume 10. [Google Scholar] [CrossRef] [Green Version]
  68. Sikora, M.; Siwek, K. Energy audit of the residential building. J. Mech. Energy Eng. 2018, 2, 317–328. [Google Scholar] [CrossRef] [Green Version]
  69. Hałacz, J.; Skotnicka-Siepsiak, A.; Neugebauer, M. Assessment of Reducing Pollutant Emissions in Selected Heating and Ventilation Systems in Single-Family Houses. Energies 2020, 13, 1224. [Google Scholar] [CrossRef] [Green Version]
  70. PN EN 12831-1: 2017. Energy Performance of Buildings—Method for Calculation of the Design Heat Load; Polish Committee of Standardisation: Warsaw, Poland, 2017. [Google Scholar]
  71. Typical Meteorological Years. The Ministry of Infrastructure and Development. Available online: https://archiwum.miir.gov.pl/strony/zadania/budownictwo/charakterystyka-energetyczna-budynkow/dane-do-obliczen-energetycznych-budynkow-1/ (accessed on 16 February 2021).
  72. Nowak, S. Management of Heat Energy Consumption In Poland For The Purpose Of Buildings’ Heating And Preparation Of Useable, Hot Water. Annales Universitatis Apulensis Series Oeconomica 2009, 11, 895–901. Available online: http://www.oeconomica.uab.ro/upload/lucrari/1120092/33.pdf (accessed on 15 February 2021).
  73. Dylewski, R.; Adamczyk, J. The environmental impacts of thermal insulation of buildings including the categories of damage: A Polish case study. J. Clean. Prod. 2016, 137, 878–887. [Google Scholar] [CrossRef]
  74. Firląg, S. Cost-Optimal Plus Energy Building in a Cold Climate. Energies 2019, 12, 3841. [Google Scholar] [CrossRef] [Green Version]
  75. Krzeszowski, Ś. Evaluation of the usefulness of selected computer programs in the context of educating students of the environmental engineering. Chem. Didact. Ecol. Metrol. 2015, 20, 31–37. [Google Scholar] [CrossRef] [Green Version]
  76. Mindykowski, D. Optimization of Heating and Cooling System for a Passive House Equipped with Heat Pump and Heat Storage. Master’s Thesis, Norwegian University of Science and Technology, Trondheim, Norway, 2016. Available online: https://ntnuopen.ntnu.no/ntnu-xmlui/handle/11250/2405175 (accessed on 15 February 2021).
  77. PN-EN ISO 13790:2009. Energy Performance of Buildings. In Calculation of Energy Use for Space Heating and Cooling; The Polish Committee for Standardization: Warszawa, Poland, 2009. [Google Scholar]
  78. Ferrari, S.; Romeo, C. Retrofitting under protection constraints according to the nearly Zero Energy Building (nZEB) target: The case of an Italian cultural heritage’s school building. Energy Procedia 2017, 140, 495–505. [Google Scholar] [CrossRef]
  79. Berardi, U.; Manca, M.; Casaldaliga, P.; Pich-Anguilera, F. From high Energy demand to nZEB: The retrofit of a school in Catalonia, Spain. Energy Procedia 2017, 140, 141–150. [Google Scholar] [CrossRef]
  80. Brandão de Vasconcelos, A.; Pinheiro, M.D.; Manso, A.; Cabaço, A. EPBD cost-optimal methodology: Application to the thermal rehabilitation of the building envelope of a Portuguese residential reference building. Energy Build. 2016, 111, 12–25. [Google Scholar] [CrossRef]
  81. Fedorczak-Cisak, M.; Furtak, M.; Hayduk, G.; Kwasnowski, P. Energy Analysis And Cost Efficiency of External Partitions In Low Energy Buildings. IOP Conf. Ser. Mater. Sci. Eng. 2019, 471, 112095. [Google Scholar] [CrossRef]
  82. Katsaprakakis, D.A.; Zidianakis, G. Upgrading Energy Efficiency for School Buildings in Greece. Procedia Environ. Sci. 2017, 38, 248–255. [Google Scholar] [CrossRef]
  83. Dias Pereira, L.; Raimondo, D.; Corgnati, S.P.; Gameiro da Silva, M. Energy consumption in schools—A review paper. Renew. Sustain. Energy Rev. 2014, 40, 911–922. [Google Scholar] [CrossRef]
  84. Sekki, T.; Airaksinen, M.; Saari, A. Effect of energy measures on the values of energy efficiency indicators in Finnish daycare and school buildings. Energy Build. 2017, 139, 124–132. [Google Scholar] [CrossRef]
  85. Marrone, P.; Gori, P.; Asdrubali, F.; Evangelisti, L.; Calcagnini, L.; Grazieschi, G. Energy Benchmarking in Educational Buildings through Cluster Analysis of Energy Retrofitting. Energies 2018, 11, 649. [Google Scholar] [CrossRef] [Green Version]
  86. Alsabry, A. Possibilities of decreasing energy consumption through thermal upgrading in selected buildings in Poland case study: The town of Zielona Góra. Energy Build. 2016, 130, 811–820. [Google Scholar] [CrossRef]
  87. Woroniak, G.; Piotrowska-Woroniak, J. Effects of pollution reduction and energy consumption reduction in small churches in Drohiczyn community. Energy Build. 2014, 72, 51–61. [Google Scholar] [CrossRef]
  88. Calorific Values (CO) and CO2 Emission Factors (EC) in 2013 for Reporting under the Community Emission Trading Scheme for 2016, National Centre for Emissions Management (KOBiZE), Warsaw. 2015. Available online: https://www.kobize.pl/uploads/materialy/materialy_do_pobrania/monitorowanie_raportowanie_weryfikacja_emisji_w_eu_ets/WO_i_WE_do_stosowania_w_SHE_2016.pdf (accessed on 20 March 2021).
  89. Pollutant Emission Factors from Fuel Combustion in Boilers with a Rated Thermal Power Up to 5 MW [In Polish]. National Centre for Emissions Management (KOBiZE), Warsaw. 2015. Available online: https://krajowabaza.kobize.pl/docs/male_kotly.pdf (accessed on 20 March 2021).
  90. CO2, SO2, NOX, CO and Total Dust Emission Factors for Electricity [In Polish]. National Centre for Emissions Management (KOBiZE), Warsaw. 2015. Available online: https://www.kobize.pl/uploads/materialy/materialy_do_pobrania/wskazniki_emisyjnosci/160616_WSKAZNIKI_zanieczyszczenia.pdf (accessed on 20 March 2021).
  91. CO2 Emission Factors for Electricity at End Users [In Polish]. National Centre for Emissions Management (KOBiZE), Warsaw. 2015. Available online: https://www.kobize.pl/uploads/materialy/materialy_do_pobrania/wskazniki_emisyjnosci/160616_WSKAZNIKI_CO2.pdf (accessed on 20 March 2021).
  92. CO2, SO2, NOx, CO and Total Dust Emission Factors for electricity [In Polish]. National Centre for Emissions Management (KOBiZE), Warsaw. 2019. Available online: https://www.kobize.pl/uploads/materialy/materialy_do_pobrania/wskazniki_emisyjnosci/Wskazniki_emisyjnosci_grudzien_2019.pdf (accessed on 20 March 2021).
  93. Factors of Pollutant Emissions from Fuel Combustion for Sources with a Nominal Thermal Power of up to 5 MW, Used for the Automatic Calculation of Emissions in the Report to the National Base for 2020 [In Polish]. National Centre for Emissions Management (KOBiZE), Warsaw. 2021. Available online: https://krajowabaza.kobize.pl/docs/MATERIAL_wskazniki_male_kotly_2020.pdf (accessed on 20 March 2021).
  94. Souviron, J.; van Moeseke, G.; Khan, A.Z. Analysing the environmental impact of windows: A review. Build. Environ. 2019, 161, 106268. [Google Scholar] [CrossRef]
  95. Maia, M.; Morais, R.; Silva, A. Application of the factor method to the service life prediction of window frames. Eng. Failure Anal. 2020, 109, 104245. [Google Scholar] [CrossRef]
  96. Van Gulck, L.; Van de Putte, S.; Delghust, M.; Van Den Bossche, N.; Steeman, M. Environmental and financial assessment of façade renovations designed for change: Developing optimal scenarios for apartment buildings in Flanders. Build. Environ. 2020, 183, 107178. [Google Scholar] [CrossRef]
  97. Goggins, J.; Moran, P.; Armstrong, A.; Hajdukiewicz, M. Lifecycle environmental and economic performance of nearly zeroenergy buildings (NZEB) in Ireland. Energy Build. 2016, 116, 622–637. [Google Scholar] [CrossRef] [Green Version]
  98. Maslesa, E.; Jensen, P.A.; Birkved, M. Indicators for quantifying environmental building performance: A systematic literature review. J. Build. Eng. 2018, 19, 552–560. [Google Scholar] [CrossRef]
  99. Sartori, T.; Calmon, J.L. Analysis of the impacts of retrofit actions on the life cycle energy consumption of typical neighbourhood dwellings. J. Build. Eng. 2019, 21, 158–172. [Google Scholar] [CrossRef]
  100. Mequignon, M.; AitHaddou, H.; Thellier, F.; Bonhomme, M. Greenhouse gases and building lifetimes. Build. Environ. 2013, 68, 77–86. [Google Scholar] [CrossRef]
  101. Iddon, C.R.; Firth, S.K. Embodied and operational energy for new-build housing: A case study of construction methods in the UK. Energy Build. 2013, 67, 479–488. [Google Scholar] [CrossRef]
  102. Ortiz, J.; Fonseca i Casas, A.; Saloma, J.; Garrido Soriano, N.; Fonseca i Casas, P. Cost-effective analysis for selecting energy efficiency measures forrefurbishment of residential buildings in Catalonia. Energy Build. 2016, 128, 442–457. [Google Scholar] [CrossRef] [Green Version]
  103. Martínez Garriga, S.; Dabbagh, M.; Krarti, M. Optimal carbon-neutral retrofit of residential communities in Barcelona, Spain. Energy Build. 2020, 208, 109651. [Google Scholar] [CrossRef]
Figure 1. Considered locality. (a) Polish thermal zones according to PN-EN 12831and location of Trębowiec. (b) Monthly average, minimum, and maximum air temperature for Kielce meteorological station [71].
Figure 1. Considered locality. (a) Polish thermal zones according to PN-EN 12831and location of Trębowiec. (b) Monthly average, minimum, and maximum air temperature for Kielce meteorological station [71].
Energies 14 01973 g001
Figure 2. External view of the school before modernization.
Figure 2. External view of the school before modernization.
Energies 14 01973 g002
Figure 3. View of the school in the Audytor OZC program.
Figure 3. View of the school in the Audytor OZC program.
Energies 14 01973 g003
Figure 4. Heat gains and losses in the building before modernization.
Figure 4. Heat gains and losses in the building before modernization.
Energies 14 01973 g004
Figure 5. Modernisation variants. (a) Energy savings of the individual measures. (b) Investment costs of individual measures.
Figure 5. Modernisation variants. (a) Energy savings of the individual measures. (b) Investment costs of individual measures.
Energies 14 01973 g005
Figure 6. Modernisation variants. (a) Investment cost per energy saving. (b) Simple payback time (SPBT).
Figure 6. Modernisation variants. (a) Investment cost per energy saving. (b) Simple payback time (SPBT).
Energies 14 01973 g006
Figure 7. View of the school after modernization.
Figure 7. View of the school after modernization.
Energies 14 01973 g007
Figure 8. New boiler room.
Figure 8. New boiler room.
Energies 14 01973 g008
Figure 9. Heat gains and losses in the building after modernization.
Figure 9. Heat gains and losses in the building after modernization.
Energies 14 01973 g009
Table 1. Design thermal conditions for the considered location.
Table 1. Design thermal conditions for the considered location.
ParameterValueUnit
Design outdoor temperature−20.0°C
Indoor air temperature-usable premises20.0°C
Indoor air temperature-staircase16.0°C
Indoor air temperature-cellar12.0°C
Heating degree days-external partitions (20.0 °C)4538.3K ∙ d
Heating degree days-external partitions (16.0 °C)3078.3K ∙ d
Table 2. Thermal parameters of external partitions before modernization against technical requirements for buildings from the 2017 year (WT2017) and 2021 year (WT2021).
Table 2. Thermal parameters of external partitions before modernization against technical requirements for buildings from the 2017 year (WT2017) and 2021 year (WT2021).
PartitionUactual (W/m2K)U2017 (W/m2K)U2021 (W/m2K)
External Walls, ti ≥ 16 °C
External wall (bricks)16820.2300.200
Wooden external wall0.4230.2300.200
External Walls, ti < 16 °C
Wall by the ground0.7820.3000.300
Roof, ti < 16 °C
Not insulated roof24930.3000.300
Insulated roof0.4380.3000.300
Ceiling, ti ≥ 16 °C
Ceiling under an unheated attic13000.1800.150
Floors on the Ground, ti ≥ 16 °C
Floor on the ground0.4350.3000.300
Floor in the cellar0.4400.3000.300
External Doors
External doors1.80/3.001.501.30
External Windows
External windows1.80/3.001.100.90
Table 3. The efficiency of the heating system: before and after modernization.
Table 3. The efficiency of the heating system: before and after modernization.
ParameterSymbolCurrent StatePlanned
Generation efficiencyηH,g0.820.85
Distribution efficiencyηH,d0.800.96
Efficiency of control and useηH,e0.770.93
Accumulation efficiencyηH,s1.000.95
The total efficiency of the systemηHtot0.510.72
Heating breaks during the weekwt0.850.85
Heating breaks during the daywd0.950.95
Table 4. Modernization measures arranged according to rising SPBT.
Table 4. Modernization measures arranged according to rising SPBT.
Type and Range of Modernization ImprovementCost (PLN)SPBT (Years)
Insulation of the ceiling under the unheated attic72,820.6715.8
Insulation of the external wall (bricks)81,235.1016.1
Installation of a photovoltaic installation77,407.5922.8
Replacement of external windows149,833.6838.8
Insulation of the wall by the ground31,224.2941.6
Replacement of the external doors10,221.3055.1
Modernization of the central heating installation297,537.0170.0
Insulation of the wooden external wall11,164.4687.0
Total731,444.1035.6
Table 5. Effectiveness of the modernization.
Table 5. Effectiveness of the modernization.
QuantityBefore ModernizationAfter ModernizationUnit
EP484.4129.5kWh/m2
EK368.9131.6kWh/m2
EU173.873.6kWh/m2
Table 6. Emission factors for hard coal, electricity, and wood [90,91,92,93].
Table 6. Emission factors for hard coal, electricity, and wood [90,91,92,93].
Energy CarrierUnitSO2NO2COCO2DustBaP
Hard coalg/GJ424.724.161207.71140104350.048
Electricity 1kg/MWh1.5721.0490.234806.10.0640
Woodg/GJ15100350101100500.015
Electricity 2kg/MWh0.6810.6310.275765.00.0360
1 For 2016.2 For 2019.
Table 7. Annual consumption of energy carriers.
Table 7. Annual consumption of energy carriers.
VariantFuelConsumption
Before modernizationHard coal44.03 Mg
Electricity40,605.78 kWh
After modernizationWood pellets24.2 m3
Electricity40,443.22 kWh
Table 8. Annual emission of pollutants, kg/year.
Table 8. Annual emission of pollutants, kg/year.
VariantSO2NO2COCO2DustBaP
Before modernization450.9164.621110.22136,643399.070.04
After modernization31.0648.9793.2054,64613.180.00
After modernization, PV27.5045.6791.7650,64312.990.00
PV, photovoltaic.
Table 9. The lifespan of typical construction materials and buildings equipment.
Table 9. The lifespan of typical construction materials and buildings equipment.
Material/ConstructionReference [96]Reference [100]Reference [101]Reference [102]Reference [103]
Concrete/brick-80–120120--
EPS insulation>60--4040
Glass wool insulation>6040–60 3030
Doors--20--
Windows--203030
Natural gas boiler---2020
PV modules---2025
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Michalak, P.; Szczotka, K.; Szymiczek, J. Energy Effectiveness or Economic Profitability? A Case Study of Thermal Modernization of a School Building. Energies 2021, 14, 1973. https://doi.org/10.3390/en14071973

AMA Style

Michalak P, Szczotka K, Szymiczek J. Energy Effectiveness or Economic Profitability? A Case Study of Thermal Modernization of a School Building. Energies. 2021; 14(7):1973. https://doi.org/10.3390/en14071973

Chicago/Turabian Style

Michalak, Piotr, Krzysztof Szczotka, and Jakub Szymiczek. 2021. "Energy Effectiveness or Economic Profitability? A Case Study of Thermal Modernization of a School Building" Energies 14, no. 7: 1973. https://doi.org/10.3390/en14071973

APA Style

Michalak, P., Szczotka, K., & Szymiczek, J. (2021). Energy Effectiveness or Economic Profitability? A Case Study of Thermal Modernization of a School Building. Energies, 14(7), 1973. https://doi.org/10.3390/en14071973

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop