A day-ahead planning for multi-energy system in building community

Tiancheng Ouyang, Mingliang Zhang, Wencong Wu, Jiaqi Zhao and Hua Xu

Energy, 2023, vol. 267, issue C

Abstract: A novel integrated energy system is proposed to provide stable electricity and cold energy for a multi-building community, which comprises wind turbines, solar photovoltaic panels and a liquid natural gas station as energy sources, and liquid air energy storage and packed bed for energy storage. A predictive algorithm based on long short-term memory is adopted to forecast the electricity and cooling load, wind speed and available cold energy for day-ahead scheduling. Furthermore, a comparative study of energy allocation schemes including electricity and cooling are carried out. The thermal inertia of room temperature is considered in the cooling allocation scheme. The pivotal results are presented as follows. The forecast errors are no more than 5%, proving the reliable accuracy of the following analysis. The robust schemes based on forecast method and uncertainty analysis have lower energy mismatch rates compared to the conservative schemes and radical schemes, which are 4.6% for electricity scheduling and 5.0% for cooling scheduling, respectively.

Keywords: Integrated energy system; Multi-community scenario; Uncertainty analysis; Data-driven prediction; Building thermal inertia (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544222032856
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:267:y:2023:i:c:s0360544222032856

DOI: 10.1016/j.energy.2022.126399

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 ().