Multiobjective Optimization Method for Energy-Saving Design of Green Buildings
A multiobjective optimization model for energy-saving design of green buildings is established by considering the two key indicators (energy efficiency and comfort) that are important for the design of green buildings. Using the energy consumption simulation software EnergyPlus to evaluate the fitne...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2024-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2024/9776633 |
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| _version_ | 1832544222789500928 |
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| author | Yuanting Yang Fengxiang Lu Lan Qing |
| author_facet | Yuanting Yang Fengxiang Lu Lan Qing |
| author_sort | Yuanting Yang |
| collection | DOAJ |
| description | A multiobjective optimization model for energy-saving design of green buildings is established by considering the two key indicators (energy efficiency and comfort) that are important for the design of green buildings. Using the energy consumption simulation software EnergyPlus to evaluate the fitness value of individuals, a multiobjective evolutionary optimization algorithm based on decomposition is used to optimize the above model. A multiobjective evolutionary optimization algorithm and its execution method are proposed for building energy efficiency, which integrates EnergyPlus. Taking a common multiroom residential building in northern China as an example, a multiobjective optimization is carried out. The results show that compared to classic intelligent optimization design algorithms such as nondominated sorting genetic algorithm II (NSGA-II), the proposed method reduces discomfort time by 1.29% while only increasing energy consumption by 0.61%. |
| format | Article |
| id | doaj-art-bbf741a13d3c4341a7f74715d369f372 |
| institution | Kabale University |
| issn | 1687-8094 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-bbf741a13d3c4341a7f74715d369f3722025-02-03T10:53:47ZengWileyAdvances in Civil Engineering1687-80942024-01-01202410.1155/2024/9776633Multiobjective Optimization Method for Energy-Saving Design of Green BuildingsYuanting Yang0Fengxiang Lu1Lan Qing2Changchun University of Architecture and Civil EngineeringJilin UniversityJilin UniversityA multiobjective optimization model for energy-saving design of green buildings is established by considering the two key indicators (energy efficiency and comfort) that are important for the design of green buildings. Using the energy consumption simulation software EnergyPlus to evaluate the fitness value of individuals, a multiobjective evolutionary optimization algorithm based on decomposition is used to optimize the above model. A multiobjective evolutionary optimization algorithm and its execution method are proposed for building energy efficiency, which integrates EnergyPlus. Taking a common multiroom residential building in northern China as an example, a multiobjective optimization is carried out. The results show that compared to classic intelligent optimization design algorithms such as nondominated sorting genetic algorithm II (NSGA-II), the proposed method reduces discomfort time by 1.29% while only increasing energy consumption by 0.61%.http://dx.doi.org/10.1155/2024/9776633 |
| spellingShingle | Yuanting Yang Fengxiang Lu Lan Qing Multiobjective Optimization Method for Energy-Saving Design of Green Buildings Advances in Civil Engineering |
| title | Multiobjective Optimization Method for Energy-Saving Design of Green Buildings |
| title_full | Multiobjective Optimization Method for Energy-Saving Design of Green Buildings |
| title_fullStr | Multiobjective Optimization Method for Energy-Saving Design of Green Buildings |
| title_full_unstemmed | Multiobjective Optimization Method for Energy-Saving Design of Green Buildings |
| title_short | Multiobjective Optimization Method for Energy-Saving Design of Green Buildings |
| title_sort | multiobjective optimization method for energy saving design of green buildings |
| url | http://dx.doi.org/10.1155/2024/9776633 |
| work_keys_str_mv | AT yuantingyang multiobjectiveoptimizationmethodforenergysavingdesignofgreenbuildings AT fengxianglu multiobjectiveoptimizationmethodforenergysavingdesignofgreenbuildings AT lanqing multiobjectiveoptimizationmethodforenergysavingdesignofgreenbuildings |