A novel resistance-capacitance model for evaluating urban building energy loads considering construction boundary heterogeneity

Xiaoyu Wang, Shuai Tian, Jiawen Ren, Xing Jin, Xin Zhou and Xing Shi

Applied Energy, 2024, vol. 361, issue C, No S0306261924002794

Abstract: To address the problems associated with the accuracy of existing resistance-capacitance (RC)-based urban building energy modeling (UBEM) being low, a novel RC-based UBEM was developed. This model takes into account construction boundary heterogeneity by clustering and lumping together building construction elements with similar boundary conditions. In addition to buildings with single thermal zone, the novel RC model was extended to buildings with multiple thermal zones by using voltage-controlled voltage sources (VCVSs). The model was validated by four ASHRAE 140 cases with single thermal zone and two real urban building cases with multiple thermal zones. To verify the effectiveness of the proposed lumping concept, comparisons between the proposed RC model and the existing RC models were conducted. The results show that the novel RC-based UBEM could reach the balance between accuracy and efficiency. The hourly heating/cooling loads of the novel RC model agree well with those produced by the benchmark model EnergyPlus. The novel model has shown an efficiency improvement of approximately 78% compared to EnergyPlus. The 4R1C model is more accurate than 3R2C model especially for cases with large capacitance and resistance differences between interior and exterior construction components. The accuracy of the proposed RC-based UBEM is significantly improved compared with the existing RC-based UBEM. Thus, it is necessary to consider the construction boundary heterogeneity in the RC models for evaluating urban building energy loads.

Keywords: Resistance-capacitance (RC) model; Urban building energy modeling (UBEM); Boundary heterogeneity; Cluster; Multiple thermal zones; Voltage-controlled voltage sources (VCVSs) (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261924002794
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:361:y:2024:i:c:s0306261924002794

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.2024.122896

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 ().