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Optimisation and analysis of an integrated energy system with hydrogen supply using solar spectral beam splitting pre-processing.

Authors :
Yang, Xiaohui
Huang, Zezhong
Xiao, Riying
Wu, Chilv
Zhang, Zhonglian
Mei, Linghao
Source :
Energy. Jan2024, Vol. 287, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

The application of integrated energy systems (IES) in urban areas is gradually increasing, yet the constraint of limited building space poses a significant challenge to effective system planning. In this paper, to address the issue of area limitation from the perspective of improving solar energy utilization. A novel IES utilizing solar spectral beam splitting (SBS) for hydrogen production is proposed, which introduces SBS technology to make full use of the sun's full-spectrum energy. Furthermore, the incorporation of photocatalytic hydrogen production introduces an innovative approach to meet the hydrogen needs of hydrogen refuelling stations, facilitating highly efficient co-generation of cooling, heating, electricity, and hydrogen supply. To determine the optimal system configuration, a comparison is made with a stand-alone solar system using a honey badger-simulated annealing optimization algorithm. The results show that the SBS-IES achieves a solar energy utilization rate of 37.72% and reduces equipment footprint by 20.48%. Furthermore, a sensitivity analysis is performed to analyse the impact of changes in floor space on the system. This innovative system is suitable for small-scale IES and serves as an efficient solution for urban energy systems. • Application of equipment using solar spectral beam splitting technology to integrated energy systems. • Providing hydrogen demand for hydrogen refuelling stations and expanding the application scenario for integrated energy systems. • Feasibility validation of photocatalytic hydrogen production for on-site hydrogen supply. • An integrated energy system suitable for small buildings in urban areas is proposed. • A honey badger-simulated annealing optimization algorithm is applied. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03605442
Volume :
287
Database :
Academic Search Index
Journal :
Energy
Publication Type :
Academic Journal
Accession number :
173966586
Full Text :
https://doi.org/10.1016/j.energy.2023.129715