Nested long-short-term temporal compression optimization for high-renewable integrated energy systems with hydrogen storage and heat recovery

Shangrong Yang, Rujing Yan, Jing Zhang, Jiangjiang Wang, Zhang Bai, Yu He, Keling Hu and Xuan Ao

Energy, 2025, vol. 333, issue C

Abstract: Integrated energy systems with high-penetration renewables are essential for achieving low-carbon, high-efficiency energy systems. However, the seasonal supply-demand imbalance on long-term scales remains a significant challenge. Hydrogen energy storage offers a promising solution, but its conventional power-hydrogen-power storage mode faces challenges, including low overall efficiency and high-dimensional solution. To address this, this paper proposes the integration of waste heat recovery technology with hydrogen energy storage to enhance its efficiency. Additionally, a nested long-short-term temporal compression optimization method is introduced. Specifically, Latin Hypercube sampling, k-means clustering, and the elbow criterion are used to capture and extract the monthly fluctuation characteristics of net load. The clustering results are then used to construct a temporal compression matrix, which is applied to specific devices to reduce decision variables. This optimization approach is tested through a case study to verify its reliability. The results show that the proposed method effectively addresses the dual challenge of optimizing over both long-term scales and high-time resolution. In specific scenarios, it achieves a 45.03 % improvement in solving efficiency compared to traditional full-scale optimization. Compared to the reference time horizon compression method, the flexible supply capacity of devices with temporal compression is improved, this results in a 8.85 % reduction in solution error. Furthermore, the incorporation of waste heat recovery technology reduces the total cost by 1.16 % in annual operation.

Keywords: Integrated energy systems; High-penetration renewables; Hydrogen energy storage; Long-short-term temporal compression; Waste heat recovery (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544225030658
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:333:y:2025:i:c:s0360544225030658

DOI: 10.1016/j.energy.2025.137423

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().