Design optimization of office building envelope by developed farmland fertility algorithm for energy saving

Chunyuan Yang; Siyao Yu; Yi Cao; Sama Abdolhosseinzadeh

doi:10.1016/j.heliyon.2023.e23387

Design optimization of office building envelope by developed farmland fertility algorithm for energy saving

Heliyon. 2023 Dec 7;10(1):e23387. doi: 10.1016/j.heliyon.2023.e23387. eCollection 2024 Jan 15.

Authors

Chunyuan Yang¹, Siyao Yu², Yi Cao³, Sama Abdolhosseinzadeh^{4

5}

Affiliations

¹ College of Culture and Tourism, Qujing Normal University, Qujing 655011, Yunnan, China.
² College of Design and Engineering, National University of Singapore, 21 Lower Kent Ridge Road, Singapore 119077, Singapore.
³ Anhui University of Finance and Economics, Anqing 246000, Anhui, China.
⁴ University of Mohaghegh Ardabili, Ardabil, Iran.
⁵ College of Technical Engineering, The Islamic University, Najaf, Iraq.

Abstract

This study focuses on designing sustainable buildings with a specific emphasis on reducing energy consumption and optimizing costs. To address the time-consuming nature of simulation software like TRNSYS and Energy Plus, a novel meta-heuristic optimization algorithm called the Developed Optimization Algorithm of Farmland Fertility (DFFA) is provided. The DFFA algorithm is utilized to optimize parameters related to the building envelope, encompassing walls, windows, and glass curtain walls, aiming to minimize energy demand and construction expenses. Comparative analysis with other approaches such as EPO, LOA, MVO, and FFA demonstrates significant reductions in energy consumption and building design costs achieved by employing the proposed algorithm. Furthermore, the DFFA algorithm yields the desired results within fewer iterations. By increasing the surface area of the glass curtain wall and total window space, improvements in natural ventilation and interior lighting are observed. Despite similar window opening measurements across the compared methods, the suggested algorithm surpasses others when it comes to overall cost and energy efficiency. The total cost reduction compared to the initial design amounts to 39 %. Thus, the DFFA algorithm proves to be more effective in conserving energy in buildings compared to other analyzed procedures. This research serves as a case study and presents a promising method applicable to designing various building types under different weather conditions in future projects.

Keywords: Building envelope; Construction expense; Developed farmland fertility algorithm; Energy saving; Meta-heuristic.