Multi-energy sharing optimization for a building cluster towards net-zero energy system

Hongjun Gao, Wenhui Cai, Shuaijia He, Jun Jiang and Junyong Liu

Applied Energy, 2023, vol. 350, issue C, No S030626192301142X

Abstract: With the promotion of net-zero energy buildings, building users gradually face the realistic demand of net-zero energy. Multi-energy sharing is a crucial measure to further improve the scheduling efficiency of building cluster to realize net-zero energy. In this context, a multi-energy sharing optimization model for a building cluster towards a net-zero energy system is proposed. A decentralized energy system framework considering multi-energy sharing is established, which includes a building cluster operator and multiple buildings. The building resources (e.g., energy production, conversion and storage equipment) are also modelled. In addition, a flexible net-zero energy comprehensive index is proposed based on three evaluation indexes (e.g., cost, energy, and emission), which depends on users' demand and application scenarios. Then, the scheduling optimization model of the building cluster is decomposed into the optimization models of building users and the building cluster operator considering the net-zero energy goal. Moreover, the analysis target cascading method is adopted to realize the distributed coordination solution of the optimization models, and an improved Shapley value method is adopted to realize the benefit adjustment of the whole building cluster. Finally, the numerical result shows that the building cluster is closer to a net-zero energy system by multi-energy sharing. The overall economic benefit and the realization degree of net-zero energy are both improved. The influence of multi-energy sharing and net-zero energy indexes on scheduling optimization and benefit distribution are both discussed carefully.

Keywords: Building cluster; Multi-energy sharing; Net-zero energy index; Analysis target cascading; Benefit distribution; Shapley value (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S030626192301142X
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:appene:v:350:y:2023:i:c:s030626192301142x

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic

DOI: 10.1016/j.apenergy.2023.121778

Access Statistics for this article

Applied Energy is currently edited by J. Yan

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