The method used is a thorough sensitivity analysis including a CO
2-assessment for the operation phase of different energy plants. Environmental impacts from building of the facilities have been left out since CO
2-emission from capital goods account for approximately 2%–3% of the total [
21]. However, for other impact categories infrastructure may be highly relevant, e.g., for toxicity related to use of metals and alloys [
21]. Since electricity and or/heat will be produced in all scenarios, there will facilities in all scenarios compared, making the difference between scenarios smaller. The primary aim to fulfill a complete life cycle assessment (LCA) [
22] was restrained to calculations of CO
2-emissions as the assessment else would be too complex. The functional unit is incineration of 1 kWh mixed combustible waste (after sorting out metals at plant but still containing plastics that result in emissions of fossil carbon dioxide when combusted) which corresponds to 3.6 MJ or appr. 0.4 kg mixed solid waste (HHV ≈ 10 MJ/kg). The unit may seem unconventional but fulfills its purpose. A change to 1 kg waste would change the scale, but not the assessment as such. It is not the actual figures that are interesting, but the differences between alternatives.
The sensitivity analysis is made by comparing different types of heat sources one by one, which means that heat from incineration is repeatedly substituted by a single technology. This is somewhat untraditional compared to most LCAs where heat from incineration is substituted either by a single technology or a mix of technologies which are given for a certain energy system using average or marginal data. This study is however a sensitivity analysis, meaning that the relative importance of different factors is interesting. The test setup reminds of a Monte Carlo simulation, but as probability distributions are unknown, only min and max values for each plant type/technology are tested. This plant type-to-plant type comparison enables a deeper insight on system dynamics than a conventional setup. Plant types are chosen to represent a wide variety of technologies and fuels in order to capture all extremes in contrast to similar studies that aim to look at the most common or probable situations.
Different design of an incineration plant has been examined. The comparison covers three types of energy recovery from incineration: heat only boiler (HOB), condense power (CP) and combined heat and power (CHP). The degree of efficiency for each plant type is varied (high and low) and for CHP plants the electricity efficiency is also varied. In total ten different types of plants were included in the assessment.
In addition, different design of the avoided energy generation is analysed. As for incineration, the comparison covers three types of plants: only heat generation, only electricity generation and CHP. Within each type different fuels are examined with corresponding degrees of efficiency and also electricity efficiency for CHP plants. The number of different types of plants is summing up to 23 in total.
Each type of incineration plant is then matched to all other types of plants for avoided energy generation. For HOB and CHP incinerators the substitution is based on heat generation with exchange ratio 1:1. Incineration plants with electricity generation only cannot substitute HOBs or CHPs.
In many plant-to-plant substitutions there will be a gap in the electricity generation, either a surplus or a deficit. This is solved by adding or subtracting electricity from the grid. In order to illustrate geographical differences as well as uncertainties about future electricity mixes, both average and marginal, two datasets with different levels of CO2 emissions have been applied.
2.1. Data Inventory
In this part, discrete choices like fuel selection as well as choice of technological data are described. First of all the alternative fuels in the energy system have to be identified. Based on previous studies (see Introduction), and with the aim to cover both renewable and non-renewable fuels, following fuels were selected:
Biomass (HOB, CHP);
Oil (HOB);
Coal (CP);
Wind power;
Natural gas (NGCC, CHP);
Waste (HOB, CHP).
It may look contradictory to substitute waste incineration with waste incineration, but it actually reflects the situation when an old waste incinerator is replaced with a new and also when a waste HOB is rebuilt into a CHP.
Next step is to find data on degree of efficiency and power-to-heat ratio for all plants including also waste incineration with backpressure (condense power). There are several types of degrees of efficiency available. In this context, we use the overall efficiency, also called energy-to-fuel ratio, which is expressed as:
A factor describing how much electricity that is generated from a CHP can be derived in multiple ways. The electricity efficiency, also called power-to-energy ratio is calculated as:
This type of efficiency does not take into account the efficiency of the combustion process and may therefore not be of use in the assessment. The term has been further developed by multiplying the power-to-energy ration with the overall efficiency, which gives the power-to-fuel ratio:
In this assessment, a third option is also used, the power-to-heat ratio:
For waste incineration, data represent the actual deliveries from existing plants, thereby constituting annual efficiencies. For the other fuels, technical efficiencies have been applied. The guiding principle for choice of data in the assessment has been easy accessible data from literature, including “grey literature”, i.e., different reports and data sets reflecting both inefficient, state-of-the-art and contemporary data. Data based on statistics for many plants have been prioritized when possible. The idea is not be exact but rather to find “extreme”, but still valid, values as this is a sensitivity analysis. For incineration with HOB and CHP, data has been taken from [
23], Sections 8.3.2 and 8.4.2. These data are for Swedish plants and mainly reflect plants constructed 1990–2006 when incineration was expanded in Sweden. These plants (a mix of grate furnaces and fluidized beds) have been designed to be efficient in terms of heat delivery to a district heating system. More recent data for the Swedish incineration plants have not been found, but efficiencies used are consistent, they still reflect fairly “good” plants in a European perspective and are actually based on data from real plants. For incineration CP data has been taken from [
24] in combination with personal communication with author Dr-Ing Dieter O Reimann. There is a more recent CEWEP Energy report from 2012 reporting status in 2007–2010 for 314 WtE plants all over Europe, but the previous report [
24] was chosen as to comply with values comparable to the 2006 situation. Waste CP does not exist in Sweden but is quite common in Europe. The investigation covers 231 European waste-to-energy plants from 16 countries (15 EU countries and Switzerland) with data from operation years 2004–2007. The mixed municipal solid waste (MSW) incinerated by these investigated plants represent a share of 76% of the incinerated MSW in EU27 in 2006. The calculations are made in accordance with the Waste Framework Directive 2008/98/EC and refers to the R1 efficiency. R1 is calculated as the energy produced as heat or electricity minus the sum of energy from other fuels and imported energy and finally this delivered energy is divided by the sum of net calorific value of treated waste and energy from other fuels including a reduction by 3% due to energy losses from bottom ash and radiation. Some of the figures on overall and electricity efficiency may seem low as these figures do not reflect what the incinerator can generate but what is really exported, taking into account all internal use of energy.
For biomass, (HOB and CHP) data on overall efficiency is taken from two sources. Low efficiency comes from [
25] and high efficiency from [
26]. Both reports are frequently used in LCA of waste management in Sweden and represents state-of-the-art data. Data on power-to-fuel ratios are also from [
26]. For oil (HOB) high efficiency is taken from [
25] and low efficiency from [
27]. Efficiencies for coal condense power plant is taken from [
28].
As wind power is not a combustion technology, data on energy generation is not applicable. Overall efficiency for combustion of natural gas in a NGCC is taken from [
26]. Several references report 0.58 [
25,
28] and contacts with experts confirm most NGCC to be around 60% why no interval is suggested. Low efficiency for natural gas CHP is from [
27] and high efficiency from [
25]. Power-to-fuel ratio is from [
26]. All figures on efficiency and power-to-fuel ratio are displayed in
Table 1.
Using different combinations of the efficiencies for waste incineration (
Table 1) 8 different setups for incineration plants can be derived, see
Table 2. The values for power-to-heat ratio have been calculated with Equation (4) using that the energy in the fuel is transformed to electricity, heat and losses (e.g., CHP1: losses are (1 − 0.941 = 0.059), electricity 0.184 and heat is (1 − 0.059 − 0.184 = 0.757), thus α
1 = 0.184/0.757 = 0.24). Avoided energy generation (
Table 1) can be expressed in 23 different setups (district heating (6), condense power (4), wind power (1), CHP (12)).
Emission factors for CO
2 have mainly been taken from literature, given as g/kWh fuel, and presented in
Table 3. In line with established LCA methodology biogenic CO
2-emissions are treated as carbon-neutral [
29] as well as the CO
2 that is produced from oxidized biogenic methane [
30].
The emission factor for waste incineration has been estimated by a qualitative analysis of values between 118 ton/GWh [
27], 83 g/kWh [
25] and model results with the ORWARE model for a Swedish large scale incineration plant (Sävenäs CHP) with 130 g/kWh. Biomass combustion is set to 17 g/kWh [
28]. For coal condense power different sources suggest the emission in g/kWh el to be 750–985. Here the value of 335 g/kWh of fuel (equals 838 g/kWh el at a 40% degree of efficiency) is used [
31]. For natural gas two emission factors are used, for NGCC and CHP. When expressed as g/kWh fuel they should be identical but we have chosen to use the data found in the reference. The difference is small and should not affect the results to any great extent.
The assessment is looking at short-term consequences, i.e., what the impact would be if the substitution took place in the near future (appr. 10 years). To illustrate the importance of the assumption made concerning electricity, two different emission factors have been used. In LCA, a difference is often made between attributional studies, typically using average data, and consequential studies using marginal data e.g., [
32,
33]. Depending on geographical differences, the emission factors for the average grid mix can differ a lot in different parts of Europe as well as globally. In addition, the marginal electricity production can vary a lot depending on assumption about future energy markets and policies including assumption about the cap and trade system for CO
2-emissions in Europe (c.f. [
26,
34,
35]). Here we use one high and one low emission factor (670 g/kWh electricity and 160 g/kWh electricity) which could correspond both to different average mixtures as well as marginal data depending on assumptions on cap and trade systems.
The function of waste incineration is not only to produce heat and electricity but of course also to manage the waste. This means that if the waste is not incinerated, it has to be treated in some other way. Some waste may have recycling as alternative treatment whereas some waste is currently disposed of in a landfill. It has been shown in a previous study [
8] that assumptions on avoided waste management can be crucial. Two options for avoided waste management are considered, landfill disposal or recycling (material recycling and biological treatment of organic waste). The emission factors are dependent on the current emission factor for electricity (as electricity is being used in the recycling processes) and landfills are assumed to have gas extraction with energy recovery. The emissions will also depend on the waste composition and details about the treatment processes. The waste composition used here corresponds to Swedish average of fractions that can be incinerated, landfilled or recycled as described in Eriksson et al. [
8]. For other countries or another temporal scope, the emission factors in
Table 4 could be different due to different waste composition. The emission factors used are recalculated (by applying the current CO
2 emissions factors for electricity) from [
8] and are displayed in
Table 4.
The recycling figures emanate from a comprehensive assessment of material recycling of the recyclable parts of MSW such as different plastics, paper, cardboard and organic waste [
8]. Many recycled materials were assumed to replace an equivalent amount of virgin material, some were modelled as replacing other types of material, and in some cases the replacement ratio recycled:virgin material was less than 1:1 [
8]. In the assessment emissions from the avoided waste management are subtracted which means that emissions of CO
2 will increase for recycling (recycling saves emissions, hence avoided recycling leads to increased emissions) and avoided landfill disposal means decreased emissions (avoided emissions from current landfill disposal). In contrast to waste, biomass and fossil fuels that are not used are assumed to be saved.