Version 1
: Received: 20 April 2018 / Approved: 23 April 2018 / Online: 23 April 2018 (08:08:42 CEST)
Version 2
: Received: 16 May 2018 / Approved: 16 May 2018 / Online: 16 May 2018 (11:14:51 CEST)
Ruan, H.; Gao, X.; Mao, C. Empirical Study on Annual Energy-Saving Performance of Energy Performance Contracting in China. Sustainability2018, 10, 1666.
Ruan, H.; Gao, X.; Mao, C. Empirical Study on Annual Energy-Saving Performance of Energy Performance Contracting in China. Sustainability 2018, 10, 1666.
Ruan, H.; Gao, X.; Mao, C. Empirical Study on Annual Energy-Saving Performance of Energy Performance Contracting in China. Sustainability2018, 10, 1666.
Ruan, H.; Gao, X.; Mao, C. Empirical Study on Annual Energy-Saving Performance of Energy Performance Contracting in China. Sustainability 2018, 10, 1666.
Abstract
Currently, the estimation of annual energy-saving performance of Energy Performance Contracting (EPC) projects is still at the operating level of each individual project, lacking a systematic summary. This paper studies the regression relationships of revamping cost in terms of annual energy-saving quantity and annual cost saving of EPC projects. The regression results show that there are statistically significant correlations in the above relationships in the nine subsectors investigated. These results contribute to EPC investment decisions and trust relationships between Energy Service Companies (ESCos) and energy-consuming units (ECUs). Then a multiple linear regression model of revamping cost is set up to analyze its influencing factors. The model indicates that the subsector the sample belongs to, financing, registered capital of the ESCo, and contract period have significant effects on revamping cost. Finally, advice for promoting investment in EPC projects is given.
Keywords
energy performance contracting; trust; annual energy saving quantity; annual cost saving; investment
Subject
Engineering, Energy and Fuel Technology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
