Comprehensive evaluation of regional energy internet using a fuzzy analytic hierarchy process based on cloud model: A case in China

Guangyu Qin, Meijuan Zhang, Qingyou Yan, Chuanbo Xu and Daniel M. Kammen

Energy, 2021, vol. 228, issue C

Abstract: Regional energy internet is an important application of “Internet+” smart energy in China’s new urbanization process. The evaluation of regional energy internet is a significant way to measure the development level of regional energy internet. However, such work is a blank of current research. Therefore, the purpose of this study is to evaluate regional energy network from a comprehensive view. Firstly, this study establishes an evaluation criteria system for regional energy internet, which consists of four dimensions (technical, economic, social, and engineering) and associated 16 criteria. Secondly, considering the uncertainty involved the evaluation process, cloud model is utilized to depict the fuzziness and randomness, which are indispensable elements in the uncertainty. Thirdly, a fuzzy analytic hierarchy process, which is a combination of AHP and fuzzy set theory, is developed to determine the weights of the identified dimensions and criteria. Finally, the evaluation results in practical case in China show that the comprehensive evaluation grade of the demonstration project is good. And the technical dimension and economic dimension should be noted, mainly involving comprehensive efficiency and energy economy level. The results of the evaluation are exactly consistent with the actual situation, indicating that the evaluation method has strong practical value.

Keywords: Regional energy internet; Comprehensive evaluation; Fuzzy analytic hierarchy process; Cloud theory (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544221008185
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:228:y:2021:i:c:s0360544221008185

DOI: 10.1016/j.energy.2021.120569

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().