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Updated: Jun 17, 2025

Determining the Contribution of the Energy Systems During Exercise
Published on: March 20, 2012
Quantitative assessment methods and qualitative evaluation system for the complementary characteristics of
Yichao Xu1, Zhiqiang Jiang1, Zenghai Zhao2
1Hubei Key Laboratory of Digital River Basin Science and Technology, Huazhong University of Science and Technology, Wuhan, China.
This study introduces new mathematical models for the multi-energy complementarity index (MECI) and multi-energy volatility index (MEVI) to assess renewable energy systems. Findings reveal hydropower discharge impacts complementarity and volatility, with seasonal variations observed.
Area of Science:
- Energy Systems Engineering
- Renewable Energy Integration
- Quantitative Analysis
Background:
- Optimizing multi-energy complementary systems (MECSs) requires understanding renewable energy (RE) complementarity.
- Current research lacks unified, quantitative methods to describe complementarity and stability in MECSs.
Purpose of the Study:
- To develop novel mathematical models for quantifying multi-energy complementarity and volatility in RE systems.
- To establish an evaluation system for analyzing multi-energy complementarity characteristics.
Main Methods:
- Proposed the multi-energy complementarity index (MECI) considering zero and non-zero output periods.
- Developed the multi-energy volatility index (MEVI) incorporating fluctuation thresholds.
- Applied models to analyze RE output in three Chinese MECSs.
Main Results:
- Hydropower rated discharge (Qrating) negatively correlates with MECI.
- Qrating shows an overall negative correlation with local fluctuations (MEVI).
- Significant seasonal variations in MECI and MEVI were observed, linked to natural RE source fluctuations.
Conclusions:
- The proposed MECI and MEVI provide quantitative tools for evaluating RE complementarity and stability.
- Findings support informed decision-making for RE bases and contribute to achieving dual carbon goals.
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