Optimal Design of Off-Grid Wind–Solar–Hydrogen Integrated Energy System Considering Power and Hydrogen Storage: A General Method

Existing design methodologies for off-grid wind–solar–hydrogen integrated energy systems (WSH-IES) are typically case-specific and lack portability. This study aims to establish a unified design framework to enhance cross-scenario applicability while retaining case-specific adaptability. The proposed framework employs the superstructure concept, dividing the off-grid WSH-IES into three subsystems: energy production, conversion, and storage subsystems. The framework integrates equipment selection and capacity sizing into a unified optimization process described by a mixed-integer programming model. Additionally, the modular constraint template ensures generalizability across scenarios by linking the local resource protocol to the techno-economic parameters of the equipment, allowing the model to be adapted to various situations. The model was applied to two case studies. Economic analysis indicates that the pure electricity architecture is dominated by energy storage (battery costs account for 96.8%), while the hybrid architecture redistributes expenditures between batteries (67.8%) and electrolyzers (28.4%). It utilizes hydrogen as a complementary medium for long-duration energy storage, achieving cost risk diversification and enhanced resilience. Under current techno-economic conditions, real-time bidirectional electricity–hydrogen conversion offers no economic benefits. This framework quantifies cost drivers and design trade-offs for off-grid WSH-IES, providing an open modeling platform for academic research and planning applications.

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Processes
Published
2026-01-02
DOI
https://doi.org/10.3390/pr14010154
Primary Topic
Hybrid Renewable Energy Systems
Type
article
Field-Weighted Citation Impact
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article

Optimal Design of Off-Grid Wind–Solar–Hydrogen Integrated Energy System Considering Power and Hydrogen Storage: A General Method

Lin Li, Xin Zuo, Jian Li, Zhijun Bu et al.
Processes
Hybrid Renewable Energy Systems
article

Optimal Design of Off-Grid Wind–Solar–Hydrogen Integrated Energy System Considering Power and Hydrogen Storage: A General Method

Lin Li, Xin Zuo, Jian Li, Zhijun Bu, Xiaoyong Gao, Chaodong Tan
article en

Abstract

Existing design methodologies for off-grid wind–solar–hydrogen integrated energy systems (WSH-IES) are typically case-specific and lack portability. This study aims to establish a unified design framework to enhance cross-scenario applicability while retaining case-specific adaptability. The proposed framework employs the superstructure concept, dividing the off-grid WSH-IES into three subsystems: energy production, conversion, and storage subsystems. The framework integrates equipment selection and capacity sizing into a unified optimization process described by a mixed-integer programming model. Additionally, the modular constraint template ensures generalizability across scenarios by linking the local resource protocol to the techno-economic parameters of the equipment, allowing the model to be adapted to various situations. The model was applied to two case studies. Economic analysis indicates that the pure electricity architecture is dominated by energy storage (battery costs account for 96.8%), while the hybrid architecture redistributes expenditures between batteries (67.8%) and electrolyzers (28.4%). It utilizes hydrogen as a complementary medium for long-duration energy storage, achieving cost risk diversification and enhanced resilience. Under current techno-economic conditions, real-time bidirectional electricity–hydrogen conversion offers no economic benefits. This framework quantifies cost drivers and design trade-offs for off-grid WSH-IES, providing an open modeling platform for academic research and planning applications.

ProcessesVol. 14(1)
China University of Petroleum, Beijing (CN), Research Institute of Petroleum Exploration and Development (CN), Sanya University (CN)
National Natural Science Foundation of China, China University of Petroleum, Beijing
Openalex Percentile: Top 99%
Hybrid Renewable Energy Systems
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