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Evaluating efficiency of energy conservation measures in energy service companies in China

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  • Zheng, Saina
  • Lam, Chor-Man
  • Hsu, Shu-Chien
  • Ren, Jingzheng

Abstract

Energy service companies (ESCOs) in China have been adopting various energy conservation measures, thus playing a significant role in mitigating carbon dioxide emissions. The efficiencies of such measures vary across China, yet a comprehensive decision-supporting tool that guides the selection of measures according to geographical characteristics is lacking. This study aims to develop an efficiency evaluation framework using data envelopment analysis (DEA) to guide the selection of the most efficient ESCO measures in different parts of China. Data from 1304 ESCO projects in six parts of Mainland China were examined using DEA to determine the efficiency of 15 energy-saving measures in the manufacturing and building sectors. The results indicate that reconstruction of industrial boiler furnaces is the most energy-efficient measure in the manufacturing sector, while energy management systems are the most efficient measure in the building sector. The variation in the statuses of economic development and the climate conditions of the six areas of China are the major factors for the differences in efficiency. A decision-making tool for guiding the selection of the ESCO measures with the most efficient technologies for specific regions and end-uses is developed to provide comprehensive information to both investors and the ESCOs.

Suggested Citation

  • Zheng, Saina & Lam, Chor-Man & Hsu, Shu-Chien & Ren, Jingzheng, 2018. "Evaluating efficiency of energy conservation measures in energy service companies in China," Energy Policy, Elsevier, vol. 122(C), pages 580-591.
    • Handle: RePEc:eee:enepol:v:122:y:2018:i:c:p:580-591
    DOI: 10.1016/j.enpol.2018.08.011
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    as
    1. Nassiri, Seyed Mehdi & Singh, Surendra, 2009. "Study on energy use efficiency for paddy crop using data envelopment analysis (DEA) technique," Applied Energy, Elsevier, vol. 86(7-8), pages 1320-1325, July.
    2. Saidur, R. & Ahamed, J.U. & Masjuki, H.H., 2010. "Energy, exergy and economic analysis of industrial boilers," Energy Policy, Elsevier, vol. 38(5), pages 2188-2197, May.
    3. Zhao, Jing & Zhu, Neng & Wu, Yong, 2009. "Technology line and case analysis of heat metering and energy efficiency retrofit of existing residential buildings in Northern heating areas of China," Energy Policy, Elsevier, vol. 37(6), pages 2106-2112, June.
    4. Ang, B. W. & Pandiyan, G., 1997. "Decomposition of energy-induced CO2 emissions in manufacturing," Energy Economics, Elsevier, vol. 19(3), pages 363-374, July.
    5. Mousavi-Avval, Seyed Hashem & Rafiee, Shahin & Jafari, Ali & Mohammadi, Ali, 2011. "Improving energy use efficiency of canola production using data envelopment analysis (DEA) approach," Energy, Elsevier, vol. 36(5), pages 2765-2772.
    6. Meng, Fanyi & Su, Bin & Thomson, Elspeth & Zhou, Dequn & Zhou, P., 2016. "Measuring China’s regional energy and carbon emission efficiency with DEA models: A survey," Applied Energy, Elsevier, vol. 183(C), pages 1-21.
    7. Kong, Xiangfei & Lu, Shilei & Wu, Yong, 2012. "A review of building energy efficiency in China during “Eleventh Five-Year Plan” period," Energy Policy, Elsevier, vol. 41(C), pages 624-635.
    8. Solangi, K.H. & Islam, M.R. & Saidur, R. & Rahim, N.A. & Fayaz, H., 2011. "A review on global solar energy policy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(4), pages 2149-2163, May.
    9. Nikolaidis, Yiannis & Pilavachi, Petros A. & Chletsis, Alexandros, 2009. "Economic evaluation of energy saving measures in a common type of Greek building," Applied Energy, Elsevier, vol. 86(12), pages 2550-2559, December.
    10. Wu, Kang & Li, Binsheng, 1995. "Energy development in China : National policies and regional strategies," Energy Policy, Elsevier, vol. 23(2), pages 167-178, February.
    11. Frate, Claudio Albuquerque & Brannstrom, Christian, 2017. "Stakeholder subjectivities regarding barriers and drivers to the introduction of utility-scale solar photovoltaic power in Brazil," Energy Policy, Elsevier, vol. 111(C), pages 346-352.
    12. Vine, Edward, 2005. "An international survey of the energy service company (ESCO) industry," Energy Policy, Elsevier, vol. 33(5), pages 691-704, March.
    13. Wang, Qunwei & Zhao, Zengyao & Zhou, Peng & Zhou, Dequn, 2013. "Energy efficiency and production technology heterogeneity in China: A meta-frontier DEA approach," Economic Modelling, Elsevier, vol. 35(C), pages 283-289.
    14. Abbott, Malcolm, 2006. "The productivity and efficiency of the Australian electricity supply industry," Energy Economics, Elsevier, vol. 28(4), pages 444-454, July.
    15. Oggioni, G. & Riccardi, R. & Toninelli, R., 2011. "Eco-efficiency of the world cement industry: A data envelopment analysis," Energy Policy, Elsevier, vol. 39(5), pages 2842-2854, May.
    16. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    17. Honma, Satoshi & Hu, Jin-Li, 2008. "Total-factor energy efficiency of regions in Japan," Energy Policy, Elsevier, vol. 36(2), pages 821-833, February.
    18. A. Greening, Lorna & Greene, David L. & Difiglio, Carmen, 2000. "Energy efficiency and consumption -- the rebound effect -- a survey," Energy Policy, Elsevier, vol. 28(6-7), pages 389-401, June.
    19. Bian, Yiwen & He, Ping & Xu, Hao, 2013. "Estimation of potential energy saving and carbon dioxide emission reduction in China based on an extended non-radial DEA approach," Energy Policy, Elsevier, vol. 63(C), pages 962-971.
    20. Korhonen, Pekka J. & Luptacik, Mikulas, 2004. "Eco-efficiency analysis of power plants: An extension of data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 154(2), pages 437-446, April.
    21. Ang, B.W., 2006. "Monitoring changes in economy-wide energy efficiency: From energy-GDP ratio to composite efficiency index," Energy Policy, Elsevier, vol. 34(5), pages 574-582, March.
    22. Ouyang, Jinlong & Ge, Jian & Hokao, Kazunori, 2009. "Economic analysis of energy-saving renovation measures for urban existing residential buildings in China based on thermal simulation and site investigation," Energy Policy, Elsevier, vol. 37(1), pages 140-149, January.
    23. Azadeh, A. & Ghaderi, S.F. & Maghsoudi, A., 2008. "Location optimization of solar plants by an integrated hierarchical DEA PCA approach," Energy Policy, Elsevier, vol. 36(10), pages 3993-4004, October.
    24. Zhang, Bing & Bi, Jun & Fan, Ziying & Yuan, Zengwei & Ge, Junjie, 2008. "Eco-efficiency analysis of industrial system in China: A data envelopment analysis approach," Ecological Economics, Elsevier, vol. 68(1-2), pages 306-316, December.
    25. Blomberg, Jerry & Henriksson, Eva & Lundmark, Robert, 2012. "Energy efficiency and policy in Swedish pulp and paper mills: A data envelopment analysis approach," Energy Policy, Elsevier, vol. 42(C), pages 569-579.
    26. Mousavi-Avval, Seyed Hashem & Rafiee, Shahin & Jafari, Ali & Mohammadi, Ali, 2011. "Optimization of energy consumption for soybean production using Data Envelopment Analysis (DEA) approach," Applied Energy, Elsevier, vol. 88(11), pages 3765-3772.
    27. Shi, Guang-Ming & Bi, Jun & Wang, Jin-Nan, 2010. "Chinese regional industrial energy efficiency evaluation based on a DEA model of fixing non-energy inputs," Energy Policy, Elsevier, vol. 38(10), pages 6172-6179, October.
    28. Lu, Wei, 2007. "Potential energy savings and environmental impacts of energy efficiency standards for vapor compression central air conditioning units in China," Energy Policy, Elsevier, vol. 35(3), pages 1709-1717, March.
    29. Timo Kuosmanen & Mika Kortelainen, 2005. "Measuring Eco‐efficiency of Production with Data Envelopment Analysis," Journal of Industrial Ecology, Yale University, vol. 9(4), pages 59-72, October.
    30. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    31. Hannon, Matthew J. & Bolton, Ronan, 2015. "UK Local Authority engagement with the Energy Service Company (ESCo) model: Key characteristics, benefits, limitations and considerations," Energy Policy, Elsevier, vol. 78(C), pages 198-212.
    32. Cai, W.G. & Wu, Y. & Zhong, Y. & Ren, H., 2009. "China building energy consumption: Situation, challenges and corresponding measures," Energy Policy, Elsevier, vol. 37(6), pages 2054-2059, June.
    33. Seiford, Lawrence M. & Zhu, Joe, 2002. "Modeling undesirable factors in efficiency evaluation," European Journal of Operational Research, Elsevier, vol. 142(1), pages 16-20, October.
    34. Vine, E & Nakagami, H & Murakoshi, C, 1999. "The evolution of the US energy service company (ESCO) industry: from ESCO to Super ESCO," Energy, Elsevier, vol. 24(6), pages 479-492.
    35. Goldman, Charles A. & Hopper, Nicole C. & Osborn, Julie G., 2005. "Review of US ESCO industry market trends: an empirical analysis of project data," Energy Policy, Elsevier, vol. 33(3), pages 387-405, February.
    36. Sarıca, Kemal & Or, Ilhan, 2007. "Efficiency assessment of Turkish power plants using data envelopment analysis," Energy, Elsevier, vol. 32(8), pages 1484-1499.
    37. Xu, Pengpeng & Chan, Edwin Hon-Wan & Qian, Queena Kun, 2011. "Success factors of energy performance contracting (EPC) for sustainable building energy efficiency retrofit (BEER) of hotel buildings in China," Energy Policy, Elsevier, vol. 39(11), pages 7389-7398.
    38. Guo, Xiao-Dan & Zhu, Lei & Fan, Ying & Xie, Bai-Chen, 2011. "Evaluation of potential reductions in carbon emissions in Chinese provinces based on environmental DEA," Energy Policy, Elsevier, vol. 39(5), pages 2352-2360, May.
    39. Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "Measuring environmental performance under different environmental DEA technologies," Energy Economics, Elsevier, vol. 30(1), pages 1-14, January.
    40. Chan, Edwin H.W. & Qian, Queena K. & Lam, Patrick T.I., 2009. "The market for green building in developed Asian cities--the perspectives of building designers," Energy Policy, Elsevier, vol. 37(8), pages 3061-3070, August.
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