Jianli Zhou

Dr. Jianli Zhou

Xinjiang University, Ürümqi, Xinjiang, China
+2
orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2020 in Ocean & Coastal Management
Verified
Journal Article
Closed access
YWYunna Wu
Yunna Wu
YTYao Tao
Yao Tao
BZBuyuan Zhang
Buyuan Zhang
SWShiman Wang
Shiman Wang
CXChuanbo Xu
Chuanbo Xu
Jianli ZhouJianli Zhou
Jianli Zhou

1 December 2019 in Energy Conversion and Management
Verified
Journal Article
Closed access
Jianli ZhouJianli Zhou
Jianli Zhou
YWYunna Wu
Yunna Wu
CWChenghao Wu
Chenghao Wu
ZDZhongqing Deng
Zhongqing Deng
CXChuanbo Xu
Chuanbo Xu
YHYong Hu
Yong Hu


1 June 2021 in Energy
Verified
Journal Article
Closed access
Jianli ZhouJianli Zhou
Jianli Zhou
YWYunna Wu
Yunna Wu
YTYao Tao
Yao Tao
JGJianwei Gao
Jianwei Gao
ZZZhiming Zhong
Zhiming Zhong
CXChuanbo Xu
Chuanbo Xu

9 May 2018 in Energies
Verified
Journal Article
Open access
PDF file
YWYunna Wu
Yunna Wu
Jianli ZhouJianli Zhou
Jianli Zhou
YHYong Hu
Yong Hu
LLLingwenying Li
Lingwenying Li
XSXiaokun Sun
Xiaokun Sun
Distributed photovoltaic (DPV) projects have been rapidly proposed in China due to policy promotion, and investment decisions immensely decide the success of DPV projects. This paper aims to propose an investment decision framework for DPV projects under the energy performance contracting (EPC) business model which is currently vigorously promoted in China, thereby improving the efficiency and accuracy of decision making. Firstly, the distinctive criteria system for DPV project investment decision is established, including natural, market, technical, policy, competitive and economic factors. Secondly, the weights of criteria are determined by integrating subjective and objective weights to obtain more accurate weights. Then, the TODIM (an acronym in Portuguese of interactive and multicriteria decision making) approach is utilized to rank the alternative DPV projects, taking into account investors’ psychological behavior. Finally, a case study in central and eastern China is carried out to illustrate the rationality and feasibility of the proposed framework. The results show that the Project A4 located in Nanchang City is the optimal project, and the rank of alternatives is sensitive to the recession coefficient. This paper provides insightful information for the DPV investors with different risk preferences to evaluate the investment performance of EPC projects and select the most appropriate one under uncertain environment.

2 August 2022 in Sustainable Cities and Society
Verified
Journal Article
Closed access
YWYunna Wu
Yunna Wu
YLYijia Liao
Yijia Liao
MXMinjia Xu
Minjia Xu
JHJiaming He
Jiaming He
Yao TaoYao Tao
Yao Tao
WCWenjun Chen
Wenjun Chen