Game-theory-based analysis of Energy Performance Contracting for building retrofits

被引:33
|
作者
Liu Huimin [1 ]
Zhang Xinyue [3 ]
Hu Mengyue [1 ,2 ]
机构
[1] Tongji Univ, Sch Econ & Management, Dept Construct Management & Real Estate, Shanghai, Peoples R China
[2] Tongji Univ, Tongji Yabaite Inst Facil Management, Shanghai, Peoples R China
[3] Tech Univ Darmstadt, Dept Law & Econ, Hsch Str 1, D-64289 Darmstadt, Germany
基金
中国国家自然科学基金;
关键词
Energy performance contracting; Shared savings model; Guaranteed savings model; Game theory; DEVELOPING-COUNTRIES; DECISION-MAKING; EFFICIENCY; CHINA; BARRIERS; MARKET; MODEL; ESCOS; EPC; COORDINATION;
D O I
10.1016/j.jclepro.2019.05.288
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Energy Performance Contracting, a type of contractual arrangements between clients and Energy Service Companies, is nowadays a key vehicle to implement energy efficiency measures in existing buildings. As well-designed contracts contribute to establishing partnerships between clients and Energy Service Companies and to promoting the Energy Performance Contracting's further development, this work was aimed to figure out the optimal solutions of the contract terms under two typical business models (the Shared Savings Model and the Guaranteed Savings Model). Based on game-theoretical methods, the noncooperative scenario was considered at first because both the client and the Energy Service Companies are self-profit-oriented. However, the non-cooperative contracts are not so efficient as they cannot bring the maximal project profit. Thus, the cooperative game models where the maximal project profits were allocated between the contract parties were set up. The differences between the non-cooperative and the cooperative scenarios and the impacts of the parameters in the models were also discussed. The frameworks presented possible solutions for the contract-design problem under the Energy Performance Contracting and instructed the contract parties to conclude the most proper contracts. (C) 2019 Elsevier Ltd. All 'rights reserved.
引用
收藏
页码:1089 / 1099
页数:11
相关论文
共 50 条
  • [41] A behavior-based decision-making model for energy performance contracting in building retrofit
    Lu, Yujie
    Zhang, Nan
    Chen, Jiayu
    [J]. ENERGY AND BUILDINGS, 2017, 156 : 315 - 326
  • [42] A Tripartite Game-Theory-Based Cooperation Mechanism for the Electronic Warehouse Receipt Pledge Financing Mode
    Jia, Junwei
    Zhang, Haoyue
    Wang, Qi
    [J]. DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2021, 2021
  • [43] A simulation-based decision model for designing contract period in building energy performance contracting
    Deng, Qianli
    Zhang, Limao
    Cui, Qingbin
    Jiang, Xianglin
    [J]. BUILDING AND ENVIRONMENT, 2014, 71 : 71 - 80
  • [44] Artificial Neural Network for Predicting Building Energy Performance: A Surrogate Energy Retrofits Decision Support Framework
    Zhang, Haonan
    Feng, Haibo
    Hewage, Kasun
    Arashpour, Mehrdad
    [J]. BUILDINGS, 2022, 12 (06)
  • [45] Uncertainty quantification for Energy Savings Performance Contracting: Application to an office building
    Faggianelli, Ghjuvan Antone
    Mora, Laurent
    Merheb, Rania
    [J]. ENERGY AND BUILDINGS, 2017, 152 : 61 - 72
  • [46] A Rational Plan of Energy Performance Contracting in an Educational Building: A Case Study
    Mohamad Munir, Zulhazmi Hatta
    Ahmad Ludin, Norasikin
    Junedi, Mirratul Mukminah
    Ahmad Affandi, Nurfarhana Alyssa
    Ibrahim, Mohd Adib
    Mat Teridi, Mohd Asri
    [J]. SUSTAINABILITY, 2023, 15 (02)
  • [47] Building-level Demand-side Energy Management Based on Game Theory
    Zhang, Yang
    Ma, Yunfei
    Zhang, Shuang
    Chen, Lixian
    Liu, Hongda
    [J]. PROCEEDINGS OF 2022 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (IEEE ICMA 2022), 2022, : 65 - 69
  • [48] A scenario-based analysis of building energy performance
    Caputo, Silvio
    Caserio, Maria
    Coles, Richard
    Jankovic, Lubo
    Gaterell, Mark R.
    [J]. PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-URBAN DESIGN AND PLANNING, 2013, 166 (06) : 326 - 348
  • [49] AHP-based risk analysis of energy performance contracting projects in Russia
    Garbuzova-Schlifter, Maria
    Madlener, Reinhard
    [J]. ENERGY POLICY, 2016, 97 : 559 - 581
  • [50] Improving IT Security Through Security Measures: Using Our Game-Theory-Based Model of IT Security Implementation
    Sugiura, Masashi
    Suwa, Hirohiko
    Ohta, Toshizumi
    [J]. HUMAN-COMPUTER INTERACTION: DESIGN AND EVALUATION, PT I, 2015, 9169 : 82 - 95