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Assessment Framework of Green Intelligent Transformation of Small Hydropower in China

Jun Shi*
Zhejiang Electric Power Industry Corporation, Hangzhou, 310006, China
* Corresponding Author: Jun Shi. Email:
(This article belongs to this Special Issue: Energy Systems Management and Climate Change)

Energy Engineering 2022, 119(2), 681-697.

Received 09 November 2020; Accepted 21 December 2020; Issue published 24 January 2022


With the comprehensive promoted construction of the establishment of green small hydropower, the defects of existing small hydropower station are gradually emerging, and it is necessary to implement green intelligent transformation to promote the construction of energy internet in China. This study focuses on constructing a green intelligent planning and transforming assessment framework, and assists management department to filtrate the small hydropower stations which can be transformed reasonably. Firstly, power station economy, ecological environment, technical safety management and social benefits are involved in the assessment index system. Secondly, multi-expert judgment aggregation based on fuzzed comparison scale is put forward to calculate the index value, and evidence synthesis is used to comprehensively assess the feasibility of green and intelligent planning and transformation for several small hydropower stations. The simulation case analysis shows the constructed assessment framework can reflect the actual situation of objectives properly and would provide decision-making basis for green and intelligent planning and transformation of small hydropower stations.


Small hydropower; green intelligent transformation; multi-expert judgment; evidence synthesis

Cite This Article

Shi, J. (2022). Assessment Framework of Green Intelligent Transformation of Small Hydropower in China. Energy Engineering, 119(2), 681–697.

This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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