Multi-Objective Optimization-Driven Research on Rural Residential Building Design in Inner Mongolia Region
According to the China Building Energy Consumption and Carbon Emissions Research Report (2023), the construction industry accounts for 36.3% of total societal energy consumption, with residential buildings contributing significantly due to their extensive coverage and high operational frequency. Add...
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MDPI AG
2025-04-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/18/7/1867 |
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| author | Dezhi Zou Cheng Sun Denghui Gao |
| author_facet | Dezhi Zou Cheng Sun Denghui Gao |
| author_sort | Dezhi Zou |
| collection | DOAJ |
| description | According to the China Building Energy Consumption and Carbon Emissions Research Report (2023), the construction industry accounts for 36.3% of total societal energy consumption, with residential buildings contributing significantly due to their extensive coverage and high operational frequency. Addressing energy efficiency and carbon reduction in this sector is critical for achieving national sustainability goals. This study proposes an optimization methodology for rural dwellings in Inner Mongolia, focusing on reducing energy demand while enhancing indoor thermal comfort and daylight performance. A parametric model was developed using Grasshopper, with energy consumption, thermal comfort (PPD), and Useful Daylight Illuminance (UDI) simulated through Ladybug and Honeybee tools. Key parameters analyzed include building morphology, envelope structures, and indoor thermal environments, followed by systematic optimization of building components. To refine multi-objective inputs, a specialized wall database was established, enabling categorization and dynamic visualization of material properties and construction methods. Comparative analysis demonstrated a 22.56% reduction in energy consumption, 19.26% decrease in occupant thermal dissatisfaction (PPD), and 25.44% improvement in UDI values post-optimization. The proposed framework provides a scientifically validated approach for improving energy efficiency and environmental adaptability in cold-climate rural architecture. |
| format | Article |
| id | doaj-art-deb4105145ce4af78c4cc0c67267302f |
| institution | OA Journals |
| issn | 1996-1073 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-deb4105145ce4af78c4cc0c67267302f2025-08-20T02:15:57ZengMDPI AGEnergies1996-10732025-04-01187186710.3390/en18071867Multi-Objective Optimization-Driven Research on Rural Residential Building Design in Inner Mongolia RegionDezhi Zou0Cheng Sun1Denghui Gao2School of Architecture and Design, Harbin Institute of Technology, Harbin 150001, ChinaSchool of Architecture and Design, Harbin Institute of Technology, Harbin 150001, ChinaSchool of Architecture, Inner Mongolia University of Technology, Hohhot 010051, ChinaAccording to the China Building Energy Consumption and Carbon Emissions Research Report (2023), the construction industry accounts for 36.3% of total societal energy consumption, with residential buildings contributing significantly due to their extensive coverage and high operational frequency. Addressing energy efficiency and carbon reduction in this sector is critical for achieving national sustainability goals. This study proposes an optimization methodology for rural dwellings in Inner Mongolia, focusing on reducing energy demand while enhancing indoor thermal comfort and daylight performance. A parametric model was developed using Grasshopper, with energy consumption, thermal comfort (PPD), and Useful Daylight Illuminance (UDI) simulated through Ladybug and Honeybee tools. Key parameters analyzed include building morphology, envelope structures, and indoor thermal environments, followed by systematic optimization of building components. To refine multi-objective inputs, a specialized wall database was established, enabling categorization and dynamic visualization of material properties and construction methods. Comparative analysis demonstrated a 22.56% reduction in energy consumption, 19.26% decrease in occupant thermal dissatisfaction (PPD), and 25.44% improvement in UDI values post-optimization. The proposed framework provides a scientifically validated approach for improving energy efficiency and environmental adaptability in cold-climate rural architecture.https://www.mdpi.com/1996-1073/18/7/1867multi-objective optimisationrural residential buildingbuilding performance optimisationenergy efficiency retrofit |
| spellingShingle | Dezhi Zou Cheng Sun Denghui Gao Multi-Objective Optimization-Driven Research on Rural Residential Building Design in Inner Mongolia Region Energies multi-objective optimisation rural residential building building performance optimisation energy efficiency retrofit |
| title | Multi-Objective Optimization-Driven Research on Rural Residential Building Design in Inner Mongolia Region |
| title_full | Multi-Objective Optimization-Driven Research on Rural Residential Building Design in Inner Mongolia Region |
| title_fullStr | Multi-Objective Optimization-Driven Research on Rural Residential Building Design in Inner Mongolia Region |
| title_full_unstemmed | Multi-Objective Optimization-Driven Research on Rural Residential Building Design in Inner Mongolia Region |
| title_short | Multi-Objective Optimization-Driven Research on Rural Residential Building Design in Inner Mongolia Region |
| title_sort | multi objective optimization driven research on rural residential building design in inner mongolia region |
| topic | multi-objective optimisation rural residential building building performance optimisation energy efficiency retrofit |
| url | https://www.mdpi.com/1996-1073/18/7/1867 |
| work_keys_str_mv | AT dezhizou multiobjectiveoptimizationdrivenresearchonruralresidentialbuildingdesignininnermongoliaregion AT chengsun multiobjectiveoptimizationdrivenresearchonruralresidentialbuildingdesignininnermongoliaregion AT denghuigao multiobjectiveoptimizationdrivenresearchonruralresidentialbuildingdesignininnermongoliaregion |