1. Introduction
Climate change is a challenge all over the world. Responding to climate change, China has pledged to considerably reduce its CO
2 emissions to reach carbon peak before 2030 and achieve carbon neutrality before 2060 [
1]. When considering buildings’ energy efficiency, existing buildings can play an important role in energy conservation and emission reduction [
2]. Energy consumption in buildings accounts for nearly 40% of the total primary energy consumption in China [
3]. Public buildings (in China, these are not limited to government-owned properties but also include office buildings; hotels; commercial buildings; science, education, culture and health buildings; communication buildings and transportation buildings [
4]) account for approximately one-fifth of the total energy consumption of buildings [
4,
5]. Existing office buildings occupy about 4.5 billion square meters of total floor area, and less than 5% of floor area achieves the required energy efficiency [
6]. Energy consumption in existing office buildings is markedly high in terms of heating, cooling, ventilation and lighting. Especially in northern China, winter heating and summer cooling consume a lot of energy. Besides this, the heat produced by a large amount of office equipment means the energy load of office buildings is higher than those of other types of buildings. Therefore, existing office building retrofits have great potential for improving energy efficiency in the building sector, which could help with meeting the overall nationwide energy efficiency objectives, aimed at reducing the country’s energy consumption and the associated negative environmental impacts.
Applying building energy-efficiency technologies (BEETs) is the most effective way to achieve energy savings for existing buildings [
3,
7,
8]. The common energy-efficiency technologies are: reconstruction of building envelope, highly efficient lighting systems and heating, ventilation and air conditioning (HVAC) systems [
4]. These technologies show good energy-saving performance according to the analysis and simulation of different aspects of energy consumption [
3,
4,
9]. However, there are some interactions among different kinds of BEETs, which may have a great influence on the final energy-saving effect [
10,
11]. Meanwhile, most of the research about BEETs focuses on the energy performance of a particular technology but not the overall energy performance when integrating all types of BEETs [
12,
13,
14]. In addition, from the perspective of stakeholders, architects, designers and engineers are enthused by retrofitting technologies and schemes. Building owners, though, who are the key decision-makers in energy-efficient retrofits, care more about the costs and benefits of building energy conservation [
15]. Balancing multiple factors that achieve the highest energy-saving performance and the least retrofitting cost represents a significant challenge for stakeholders.
To address the above research gap and encourage the market to conserve energy through existing buildings, it is important to establish a comprehensive and systematic method to select feasible energy-efficiency technologies and measure their integrated performance. This study aimed to develop a holistic and comprehensive analysis method integrating technology, energy and the economic effect, to offer stakeholders a reference for how best to select a feasible technical scheme based on multi-criteria.
Many research projects have been carried out on BEETs. Boyano et al. selected three climate zones in Europe, then created a typical model in each of the local areas using the software EnergyPlus. The researchers calculated buildings’ energy consumption under three different settings for the envelope, illumination density and lighting control, and finally proposed feasible technology measures suitable for the three climate zones [
11]. Moncef et al. comparatively evaluated the optimal energy-efficiency designs for French and US office buildings [
16]. Baranova et al. analyzed buildings’ energy performance across the Baltic Sea region, to investigate the influence of local building norms on buildings’ energy consumption [
17]. However, the typical models developed in the above research are limited to a local context because they use local indexes. Ibrahim et al. developed an integrated classification methodology for retrofitting heritage residential buildings in Khedivial, Cairo by connecting retrofitting strategies with that classification of buildings [
18]. Pasichnyi et al. established a data-driven approach to create energy retrofitting strategies at the city level [
19]. Pardo-Bosch et al. compared three major retrofitting interventions in three European cities, which each aimed at achieving a sustainable city [
20]. These last two approaches to achieving sustainability at a city level were more beneficial to urban planners or the government than those before.
Further researchers conducted economic analyses of retrofitting technologies. Qichen et al. conducted an economic analysis of three aspects of energy-saving renovation—the envelope heat insulation, building shading and natural ventilation—based on a residential building located in Xiamen, China [
21]. By involving the concept of the lifecycle, Shadram et al. compared the optimal retrofitting solutions to achieve newbuild near-zero energy standards in Sweden [
22]. Ren et al. carried out lifecycle financial evaluation, which can be used for an economic index of building energy-saving retrofits [
23]. Although the need for and potential benefits of energy retrofits have been well-documented, the pace of adoption of energy-efficient practices and technologies has been slow, and significant barriers—both perceived and actual—persist in limiting building energy investments [
24,
25]. Kurnitski et al. conducted a study on cost-optimal solutions for residential and office buildings; they calculated the labor, material and construction costs, but did not consider the maintenance cost. Those studies gave clear retrofitting technology cost calculation methods, but they all tended toward a basic cost and technical-economic analysis [
26]. Paolo et al. illustrated how to cost-design nZEBs for a warm climate in Italy, selecting the most efficient combination of energy-saving technologies [
27]. Yang et al. built a typical office and commercial building model for three locations—Beijing, Shanghai and Guangzhou—using the software EnergyPlus and calculated the energy-saving ratio and economic efficiency, then proposed technology selections [
28]. Kim carried out an economic analysis of energy-saving technologies for complex manufacturing buildings, and the return on investment was determined by using payback analysis and lifecycle cost analysis [
29]. Egiluz et al. developed a multi-criteria decision-making method for retrofitting based on the concept of sustainability [
30].
Almost all of the existing research on office building energy conservation technology focused on the overall energy-saving effect and economic benefit, and less on the need to integrate adoption of technology with the need to be economical. Furthermore, most research has focused on new buildings. The objective of this paper is to discuss energy-saving retrofitting technologies that can be applied to existing large office buildings. After defining a baseline reference building, a typical large office building energy consumption model in Beijing was built. Several technical variants were selected and applied. Energy-saving ratio and lifecycle retrofitting cost calculations were made for the obtained configurations, to determine the maximum energy-saving effect and minimum cost. A financial and macroeconomic study was carried out to establish the cost-optimal technology combinations and optimum energy-saving effect.
According to an analysis of the existing literature, most research has been on the application of energy-efficiency technologies to different types of buildings and different climate regions in the United States and Europe, or focused on optimizing the approach to building energy-efficiency strategies in different scenarios. These studies offer a reference for the processes that can be applied to evaluate BEETs. Yet, most of the research findings are more useful for specific countries and regions because of corresponding area indexes and data supports in the economic evaluation. In China, there is little research on integrated energy-efficiency technologies for buildings in different climate zones, and there is a lack of systematic research on energy-efficiency strategies applying a typical city-level building model. It is necessary to develop a typical building model considering the climate zones in China. Yet, there are some difficulties with conducting a comprehensive technical-economic analysis, which have created obstacles to promoting building energy efficiency in China.
This study took large office buildings in Beijing as an example and developed an operational framework for sustainable, energy-efficient building retrofits. It used a mixed-methods research approach. Empirical data on retrofitting demonstration cases for Beijing’s existing office buildings and Chinese building energy conservation statistics report were applied to construct a virtual model of a physical building representing a typical large office building in Beijing. This simulated the building’s energy performance when combining technologies in different systems. In this way, the comprehensive energy performance after retrofitting could be simulated by considering the interactions of different energy systems. The model was then combined with a conceptual framework of sustainability to discuss how to select an optimal technological combination to achieve lower lifecycle costs. A quantitative paradigm set the basis for this research, with qualitative perspectives integrated to develop the operational framework. An economic analysis was conducted by estimating the initial retrofitting investments, related payback periods and other economic indicators. The inclusion of lifecycle costs in the economic analysis brought an innovative perspective as it took the lifecycle of each system into consideration, which allowed the total costs of energy consumption and operation to be largely predicted.
This research (1) measured which type of the technical scheme had great energy-saving potential; (2) calculated how the energy-saving benefits offset the energy consumption costs and the payback period; and (3) offers stakeholders a reference for which type of energy-efficient retrofit measures to focus on and how to choose a feasible energy-efficient retrofitting scheme. The process for achieving these objectives offers a holistic operational framework for evaluating feasible technical schemes, considering the interactions of different energy systems and their lifecycle costs. The results of this research add new information on energy-efficient retrofitting for office buildings. This will facilitate future action to reduce China’s energy consumption and operational costs. This research could act as a reference for other types of buildings and regions.
5. Conclusions
This study developed an operational framework for stakeholders to use when planning sustainable energy-efficient retrofits of buildings. The operational framework was finetuned based on the conceptual framework of sustainability. The energy consumption, external benefits and financial return were considered as the three main aspects of importance.
In this research, the emphasis on was integrating the selection of energy-efficient technologies with the energy effect and lifecycle costs of retrofits. The energy effect after retrofitting was simulated to understand the comprehensive energy performance when integrating all kinds of energy-efficiency technologies. The energy performances of different combinations of technical schemes were analyzed together with the whole lifecycle costs. The energy-saving rates and energy-saving economic benefits were calculated based on combinations of various energy-efficiency technologies for a model of a typical large office building in Beijing. According to the results of this study, the key findings were as follows:
(1) Energy-saving effects cannot be increased only by adding more energy-efficiency technologies but should instead be considered and balanced by reviewing the overall, comprehensive technical scheme integrating different kinds of energy-efficiency technologies.
(2) Lighting and air conditioning systems have the potential to reduce the energy consumption greatly via all kinds of energy-efficiency technologies. Combined retrofit works on both lighting and air conditioning systems have a mutual influence. Improvements to these can reduce the total energy consumption of the large office building by around 8–13%. Though changing the setting of the heat exhaust system can help the air-conditioning system to consume less energy to a certain extent, the cost-saving over the whole lifecycle is not significant.
(3) Installing an LED lighting system and the frequency conversion device for the water chiller cannot only sufficiently reduce the building’s energy consumption but also make it more economical. Different thermal insulation materials for reconstructing the building envelope had no obvious effect on the thermal performance in a comprehensive simulation of technological combinations.
(4) The optimal technical schemes can reduce the total energy consumption by around 13% and their payback periods are around 7–8 years.
(5) Information on the building’s structure and detailed operating information are beneficial to selecting an energy-efficient technical portfolio when conducting retrofits. Especially for large office buildings, there is a high requirement for HVAC and so it is necessary to conduct a comprehensive analysis of technological combinations that will facilitate an optimized air-conditioning system. Considering the specific lifecycles of different items of equipment makes it simple to decide whether to replace these with new equipment or install a frequency conversion device.
This study established a typical building model to simulate and analyze the energy efficiency of various energy-saving combinations. The accuracy of the simulation depended largely on the rationality and representativeness of the model. Establishing a typical large office model depended on a great amount of statistical data. If more accurate and complete data can be collected in the future, that will make the benchmark model more accurate and reliable after correction, and will lead researchers to obtain more convincing results. Moreover, if more data (related to uncertainties or changes influencing the energy use) can be accessed to calibrate the simulation model to make it closer to a real situation, the accuracy and reliability of the model can be improved. The schemes of technical combinations established in this paper involved one from each type of energy-efficient retrofitting system, and we did not analyze the superimposed effect of a number of technologies introduced to one system. This work was close in its scope to the actual energy-efficient retrofits of large office buildings, and was conducive to facilitating more accurate simulation results and conclusions in the future. Furthermore, validation is needed whereby researchers simulate the results using actual project examples, to verify whether the simulated effect is equal to the actual energy performance after retrofitting.
This study selected Beijing as representative of the cold climate region and as a location where many large office buildings are found. Ultimately, we offered a feasible technical plan for stakeholders and demonstrated how we took a holistic operational approach to evaluating the technical schemes, considering the interactions of different kinds of energy systems and their lifecycle costs. The proposed approach may be used as a reference for future research on other climatic zones and types of buildings.