Distributionally robust operation for integrated rural energy systems with broiler houses

Hong Tan, Wei Yan, Zhouyang Ren, Qiujie Wang and Mohamed A. Mohamed

Energy, 2022, vol. 254, issue PC

Abstract: The integrated energy system (IES) can improve energy efficiency by unified planning and operation of multiple heterogeneous energy sources. However, the existing research mainly focuses on the IES in urban areas. This paper introduces the broiler house and biogas digester into the IES and proposes a distributionally robust dispatch model for the integrated rural energy system with broiler houses (IRES-BH). The heat demand model of the broiler house is first built according to the thermal equivalent circuit of the broiler house and the heat radiation of the broiler flock. Then, the electricity demand model of the broiler house is derived based on the ventilation requirements of the broiler flock and the performance parameters of the fans. Furthermore, the gas production rate model of the biogas digester is suggested according to the relationship between the biogas production rate and the fermentation temperature. Finally, a day-ahead dispatch model of the IRES-BH is formulated based on the Kullback-Leibler divergence constrained distributionally robust optimization and the solution methodology of the dispatch model is proposed. Two cases of different scales verify the effectiveness of the proposed model.

Keywords: Integrated rural energy systems; Broiler house energy demand model; Distributionally robust optimization; Day-ahead dispatch model; Kullback-leibler divergence (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544222013019
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:254:y:2022:i:pc:s0360544222013019

DOI: 10.1016/j.energy.2022.124398

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 ().