The economic impacts of carbon emission trading scheme on building retrofits: A case study with U.S. medium office buildings
Introduction
The Intergovernmental Panel on Climate Change [1] declared that climate change presents one of the world's most pressing challenges. The United States (U.S.) Environmental Protection Agency [2] claimed that carbon dioxide is the primary greenhouse gas contributing to recent climate change. Therefore, reducing carbon emissions is crucial for the mitigation of climate change. In response to that, the U.S. has outlined a pathway to reduce carbon emissions 50% by 2030 [3] and 80% by 2050 [4].
Retrofitting buildings has a great potential to reduce carbon emissions in the U.S. since buildings account for approximately 36% of carbon emissions [5]. Current research shows that many existing buildings have poor energy performance and thus lead to a large amount of carbon emissions [6,7]. Furthermore, most of the existing buildings will still be used until 2050 [8]. Consequently, there is a great potential to reduce carbon emissions by retrofitting buildings. Langevin et al. [9] estimated that this potential can be as large as 80% reduction relative to 2005 levels by 2050.
The carbon emission trading scheme (ETS) has been considered as the top promising instrument to reduce carbon emissions. Thirty-eight national jurisdictions have implemented ETS in 2021, covering 16% of global carbon emissions [10]. The effect of ETS on carbon emission reduction has been studied by existing research. By analyzing the panel data from the German production census, Petrick and Wagner [11] found that ETS caused treated firms to abate one-fifth of their carbon emissions relative to non-treated firms. By studying the city-level panel data in China, Zhang et al. [12] found that ETS adopted in pilot cities reduced carbon emissions by approximately 16%. Villoria-Sáez et al. [13] reviewed the existing ETS from major countries including the EU, Australia, New Zealand, Japan, the U.S., and Canada. They found that carbon emissions decreased around 1.6% per year since ETS implementation and around 23.4% of carbon emission reduction can be reached after 10 years of ETS implementation, compared to the trend when ETS was not implemented. Existing research indicates that ETS can help the reduction of carbon emissions. Therefore, ETS can also potentially help the emission reduction in the building sector by adding additional economic incentives for building owners to retrofit buildings. It's also necessary for building sectors to participate in the ETS since easy measures which were profitable in a short term, “the low hanging fruit”, had already been carried out [14].
There are a few studies about ETS in the building sector. By comparing the existing mechanisms, Wang et al. [15] established a feasible mechanism to improve the ETS for renewable energy application in buildings. Song et al. [16] investigated reasons for the lack of ETS in the building sector in China by exploring building owner's optimal strategies including adopting low-carbon technologies, purchasing emission credits from the ETS market, and non-compliance. Chen et al. [17] analyzed the ETS in the building sector in China and recommended a “step-by-step” approach for promoting ETS.
However, the existing research about ETS in the building sector mainly focuses on qualitative analysis. There is no quantitative prediction on the economic impacts of ETS. ETS can add additional economic incentives for building owners to retrofit buildings. But are these additional incentives big enough to motivate building owners for more retrofits? Before incorporating the building sector into the ETS, it's important to quantitatively investigate the economic impacts of ETS on building retrofits.
To fill this gap, this study developed a systematic economic evaluation method to quantitatively investigate the economic impacts of ETS on building retrofits for the future adoption of this tool. A prototypical U.S. medium-size office building was used as an example to illustrate the method. The following of this paper was organized as follows: section 2 reviews the ETS and its implementation; section 3 introduces the method of evaluating the economic impacts of ETS on building retrofit; section 4 describes the design of the case study including building energy models, investigated locations, and examined building retrofit measures; section 5 presents the results for the economic impacts of ETS on building retrofits; section 6 summarizes key findings and discusses the policy implication, finally, section 7 makes a conclusion.
Section snippets
Overview of the emission trading scheme
ETS is a market-based approach to control carbon emission by providing economic incentives for reducing carbon emissions [18]. ETS works by first setting a limit on the overall amount of emissions that is allowed to emit into the environment. Major participants in an ETS [19] include: (1) the government who sets the coverage of sectors or regions targeted by the ETS and the emission limit; (2) enterprises from different sectors who attempt to find optimal decisions regarding emission reduction
Methods
Fig. 1 presents a general description of evaluating the economic impacts of ETS on building retrofits. This section first introduces the method of estimating the investments of building retrofits in subsection 3.1. Then subsection 3.2 introduces the method of predicting cost savings brought by building retrofits. Finally, based on the building retrofit investment and the cost savings brought by retrofits, subsection 3.3 introduces the economic evaluation metrics.
Study design
Medium office building was selected an example in this study because commercial buildings have more potential to participate in the ETS than residential buildings [16]. In addition, the medium office building is more representative in commercial buildings. According to 2012 commercial buildings energy consumption survey [40], office buildings have the largest area share of all building types (22.5%) in the U.S. The average floor area of office building is 12,878 m2, which represents the
Results
This section first presents the investment estimation of building retrofits in subsection 5.1. Then, subsection 5.2 shows the prediction results of the cost savings brought by building retrofits, which include the cost savings without ETS and cost savings with ETS. Three different carbon prices were investigated: forecasted time-variant carbon prices in the U.S.; a fixed carbon price of 50 USD per ton (current prices in EU); a fixed carbon price of 100 USD per ton. Finally, subsection 5.3
Key findings of the economic impacts of ETS on building retrofits
Based on the current auction prices in RGGI, carbon prices in the U.S. in the next twenty years is predicted to be around 10 USD per ton. With these low carbon prices, the economic impacts of ETS on building retrofits are small. The relative reduction of payback period brought by ETS is lower than 7% and the relative increase of ROI is lower than 5%. Furthermore, the economic impacts are different at different locations in the U.S. The locations with more fossil energy have higher relative
Conclusion
This study proposed a systematic economic evaluation method to investigate the economic impacts of ETS on building retrofits and the U.S. medium office was used as an example to demonstrate the method. We adopted the reduction of the payback period and the increase of the ROI as evaluation metrics to analyze the economic impacts of ETS, and three different carbon prices were examined. Using the relatively low forecasted time-variant carbon prices (around 10 USD per ton), the economic impacts of
CRediT authorship contribution statement
Yingli Lou: Writing – review & editing, Writing – original draft, Visualization, Formal analysis, Data curation, Conceptualization. Yizhi Yang: Writing – review & editing. Yunyang Ye: Writing – review & editing. Chuan He: Writing – review & editing. Wangda Zuo: Writing – review & editing, Supervision, Conceptualization.
Declaration of competing interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Acknowledgement
This research was supported by the National Science Foundation under Awards No. CBET- 2217410.
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