Multi-objective planning of rural integrated energy systems considering carbon emission cost and exergic efficiency

With the deepening of modernization construction in rural areas, the energy structure system in rural areas is also constantly improving and upgrading. This paper puts forward a multi-objective planning method for rural integrated energy system considering carbon emission cost and exergic efficiency. In this paper, a typical scenario of energy in rural areas is constructed and exergic efficiency of a rural integrated energy system is considered as a multi-objective for the annualized investment cost, carbon emission cost and exergic efficiency, and a reasonable result is obtained by NSGA-II multi-objective optimization algorithm. Finally, a large rural case in Central China was selected for simulation verification. The results show that the exergic efficiency of the proposed model can increase as well as decrease the whole life cycle cost and carbon emission cost of the system.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/aipe63225.2024.00015
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Multi-objective planning of rural integrated energy systems considering carbon emission cost and exergic efficiency

Milu Zhou, Tingting Li, Huijie Sun
Integrated Energy Systems Optimization
article

Multi-objective planning of rural integrated energy systems considering carbon emission cost and exergic efficiency

Milu Zhou, Tingting Li, Huijie Sun
article en

Abstract

With the deepening of modernization construction in rural areas, the energy structure system in rural areas is also constantly improving and upgrading. This paper puts forward a multi-objective planning method for rural integrated energy system considering carbon emission cost and exergic efficiency. In this paper, a typical scenario of energy in rural areas is constructed and exergic efficiency of a rural integrated energy system is considered as a multi-objective for the annualized investment cost, carbon emission cost and exergic efficiency, and a reasonable result is obtained by NSGA-II multi-objective optimization algorithm. Finally, a large rural case in Central China was selected for simulation verification. The results show that the exergic efficiency of the proposed model can increase as well as decrease the whole life cycle cost and carbon emission cost of the system.

China Southern Power Grid (China) (CN)
China Southern Power Grid
Affordable and clean energy
Openalex Percentile: Top 72%
Integrated Energy Systems Optimization
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