Making optimal investment decisions for energy service companies under uncertainty: A case study

被引:32
|
作者
Deng, Qianli [1 ]
Jiang, Xianglin [2 ]
Zhang, Limao [3 ]
Cui, Qingbin [1 ]
机构
[1] Univ Maryland, Dept Civil & Environm Engn, College Pk, MD 20742 USA
[2] Fudan Univ, Inst Financial Studies, Shanghai 200433, Peoples R China
[3] Huazhong Univ Sci & Technol, Sch Civil Engn & Mech, Wuhan 430074, Hubei, Peoples R China
关键词
Energy service companies; Energy efficiency investment; Contract design; Monte-Carlo simulation; Uncertainty modeling; EFFICIENCY INVESTMENTS; OPTIMIZATION MODEL; PERFORMANCE; RISK; BARRIERS; SAVINGS; ENVIRONMENT; BUILDINGS; RETROFITS; SCENARIOS;
D O I
10.1016/j.energy.2015.05.004
中图分类号
O414.1 [热力学];
学科分类号
摘要
Varied initial energy efficiency investments would result in different annual energy savings achievements. In order to balance the savings revenue and the potential capital loss through EPC (Energy Performance Contracting), a cost-effective investment decision is needed when selecting energy efficiency technologies. In this research, an approach is developed for the ESCO (Energy Service Company) to evaluate the potential energy savings profit, and thus make the optimal investment decisions. The energy savings revenue under uncertainties, which are derived from energy efficiency performance variation and energy price fluctuation, are first modeled as stochastic processes. Then, the derived energy savings profit is shared by the owner and the ESCO according to the contract specification. A simulation-based model is thus built to maximize the owner's profit, and at the same time, satisfy the ESCO's expected rate of return. In order to demonstrate the applicability of the proposed approach, the University of Maryland campus case is also presented. The proposed method could not only help the ESCO determine the optimal energy efficiency investments, but also assist the owner's decision in the bidding selection. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:234 / 243
页数:10
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