Energy Performance Contracting (EPC) is a new mechanism for energy saving. In the Energy Performance Contracting, the energy service demander and energy service company (ESCO) cooperate to save energy and share the benefit. One difficulty in actualizing the EPC is to select the best ESCO. However, there are few literatures to analyze the efficient selection mechanism. A government is used as the energy service demander and the ESCO selection based on multi-attribute reverse auction model is studied in the paper. The ESCO's strategy depends on three attributes, including the energy saving quantities supplied, the project leading time, and the sharing proportion of the energy saving benefit. A non-cooperative game model is proposed to study the multi-attribute reverse auction between a government and n qualified ESCOs. Regarding the sharing proportion of the energy saving benefits as a function of the energy saving quantities supplied and the project leading time, the optimal strategy of the ESCO can be obtained. As a result, every ESCO can determine the bidding strategy according to its actual energy-saving technologies and capabilities, and the government can directly select the winning ESCO based on the optimal combination of energy saving quantities supplied and project leading time without negotiating on sharing proportion of the energy saving benefits. Subsequently, the ESCO selection mechanism is able to avoid the bargaining procedure in determining the benefit share, and constrain the vicious competition among the ESCOs. As a result, the actualizing efficiency of the EPC project is improved. The simulation experiment discovers that, along with the increase of the number of the ESCOs, the benefits of both the government and the ESCO will decrease. As a result, the government should set some criteria to limit the number of the ESCOs participating in the auction.
YANG Feng, HE Mu-jia, LIANG Liang
. Selecting Energy Service Company based on Multi-attribute Reverse Auction[J]. Chinese Journal of Management Science, 2015
, 23(5)
: 98
-106
.
DOI: 10.16381/j.cnki.issn1003-207x.2015.05.013
[1] Marino A, Bertoldi P, Rezessy S, et al. A snapshot of the European energy market in 2010 and policy recommendations to foster a further market development[J]. Energy Policy, 2011, 39(10): 6190-6198.
[2] Chen-Ritzo C H, Harrison T P, Kwasnica A M, et al. Better, faster, cheaper: An experimental analysis of a multi-attribute reverse auction mechanism with restricted information feedback[J]. Management Science, 2005, 51(12): 1753-1762.
[3] Snir E M, Hitt L M. Costly bidding in online markets for IT services[J]. Management Science, 2003, 49(11): 1505-1520.
[4] Millsa E, Kromerb S, Weissc G, et al.From volatility to value: Analysing and managing financial and performance risk in energy saving projects[J]. Energy Policy, 2005, 34(2):188-189.
[5] Gan Dali. Energy service companies to improve energy efficiency in China: barriers and removal measures[J]. Procedia Earth and Planetary Science, 2009, 1(1): 1695-1704.
[6] Teich J E, Wallenius H, Wallenius J, et al. A multi-attribute e-auction mechanism for procurement: Theoretical foundations[J]. European Journal of Operational Research, 2006, 175(1): 90-100.
[7] Beerepoot M, Beerepoot N. Government regulation as an impetus for innovation: Evidence from energy performance regulation in the Dutch residential building sector[J]. Energy Policy, 2007, 35(10): 4812-4825.
[8] Bertoldi P, Rezessy S, Vine E. Energy service companies in European countries: Current status and a strategy to foster their development[J]. Energy Policy, 2006, 34(14): 1818-1832.
[9] Xu Pengpeng, Chan E H W, Qian Q K. Success factors of energy performance contracting (EPC) for sustainable building energy efficiency retrofit (BEER) of hotel buildings in China[J]. Energy Policy, 2011, 39(11): 7389-7398.
[10] Jap S D. The impact of online reverse auction design on buyer-supplier relationships[J]. Journal of Marketing, 2007, 71(1): 146-159.
[11] Li Yan. AHP-Fuzzy Evaluation on Financing Bottleneck in Energy Performance Contracting in China[J]. Energy Procedia, 2012, 14: 121-126.
[12] 刘树林, 王明喜. 多属性采购拍卖理论与应用评述[J]. 中国管理科学, 2009, 17(1): 184-192.
[13] 吴继兰, 李培亮. 基于供应链绩效的网上逆向拍卖模型[J]. 管理科学, 2007, 20(6): 31-35.
[14] 姚升保. 基于幂效用函数的多属性英式拍卖研究[J]. 中国管理科学, 2013, 21(6): 132-138.
[15] 张醒洲, 张学娟. 多属性采购拍卖的价值函数与打分规则[J]. 中国管理科学, 2008, 16(S1): 137-141.
[16] 周学广, 张坚, 杜建国. 基于逆向拍卖的演化博弈分析[J]. 中国管理科学, 2010, 18(5): 171-178.
[17] 周学广, 张坚,梅强,等. 基于多属性逆向拍卖的博弈分析[J]. 管理工程学报, 2011, 25(2): 199-205.