Multi-Factor Coupled Energy-Saving Optimization Strategies for Prefabricated Concrete Substation Buildings

DOI

10.2991/978-94-6239-682-1_7How to use a DOI?

Keywords

Concrete substation buildings; Building energy efficiency; Multi-factor coupled optimization; Hype algorithm; NSGA-II algorithm

Abstract

Substations play a vital role in the control and transmission of electric power; however, research on optimizing the energy efficiency of such buildings remains limited. To better understand the mechanisms of heating and cooling loads in substations, and to compare the differences in heat transfer performance between concrete and steel structures, this study seeks to propose reasonable design strategies to reduce the heating and cooling energy consumption of substations. A standardized prefabricated substation energy model was established using the Grasshopper parametric design platform in Rhino7. With the aid of the Ladybug Tools suite, and based on both the Hype and NSGA-II algorithms, single-factor energy-saving studies were conducted on different design variable combinations of this standardized substation across four representative climate zones in China, from north to south. Additionally, a multi-factor coupled optimization case study was carried out in one of these cities. The results not only reveal the energy-saving patterns of substation buildings across various climate zones but also provide reference strategies for the energy-efficient design optimization of prefabricated concrete substations under multi-factor coupling.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Bin Tan
AU  - Kun Zhou
AU  - Zhenhua Li
AU  - Chang He
AU  - Yuhuan Yan
PY  - 2026
DA  - 2026/06/30
TI  - Multi-Factor Coupled Energy-Saving Optimization Strategies for Prefabricated Concrete Substation Buildings
BT  - Proceedings of the 2025 7th International Conference on Civil Architecture and Urban Engineering (ICCAUE 2025)
PB  - Atlantis Press
SP  - 61
EP  - 75
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6239-682-1_7
DO  - 10.2991/978-94-6239-682-1_7
ID  - Tan2026
ER  -