Multi-objective optimization of the solar orientation of two residential multifamily buildings in south Brazil
[Display omitted] •A low-cost energy demand optimization strategy is analyzed.•Optimizes heating demand, without neglecting cooling, for colder climates.•Simplified optimization is used to reduce computational costs.•The optimization method was developed in open-access software.•Impact of the urban...
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| Published in | Energy and buildings Vol. 285; p. 112838 |
|---|---|
| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier B.V
15.04.2023
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0378-7788 1872-6178 |
| DOI | 10.1016/j.enbuild.2023.112838 |
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| Abstract | [Display omitted]
•A low-cost energy demand optimization strategy is analyzed.•Optimizes heating demand, without neglecting cooling, for colder climates.•Simplified optimization is used to reduce computational costs.•The optimization method was developed in open-access software.•Impact of the urban context inserted into the optimization process.•Demonstrates energy discrimination in the same building.
The shape and orientation of a building influence the energy demand, therefore optimal decisions should only be made rigorously supported by energy evaluation programs, which allow for measuring the energy demand of a building more precisely. The main purpose of this research is to evaluate the shape and orientation of massive residential social housing multifamily buildings to find the best solar positioning to minimize cooling and heating demands simultaneously in the bioclimatic zone 2 (Cfa) in the southern region of Brazil. To do this, this study utilizes multi-objective optimization with a genetic algorithm (NSGA-II) simulating the thermal behavior in EnergyPlus and performing the optimization with a Python language programming code, totalizing 80,000 simulations. The main results showed that solar orientation optimization could reduce the total demand by 4% for the “H” shape and 22% for linear buildings in the isolated scenario. For the condominium condition, the reduction is 2% for the “H” typology and 8% for the linear shape. The results presented can help engineers and architects to design more energy-efficient buildings and address the energetic vulnerability in the same building. Moreover, future work can be carried out to improve the constructive pattern replicated all over the country, improving the surroundings. |
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| AbstractList | [Display omitted]
•A low-cost energy demand optimization strategy is analyzed.•Optimizes heating demand, without neglecting cooling, for colder climates.•Simplified optimization is used to reduce computational costs.•The optimization method was developed in open-access software.•Impact of the urban context inserted into the optimization process.•Demonstrates energy discrimination in the same building.
The shape and orientation of a building influence the energy demand, therefore optimal decisions should only be made rigorously supported by energy evaluation programs, which allow for measuring the energy demand of a building more precisely. The main purpose of this research is to evaluate the shape and orientation of massive residential social housing multifamily buildings to find the best solar positioning to minimize cooling and heating demands simultaneously in the bioclimatic zone 2 (Cfa) in the southern region of Brazil. To do this, this study utilizes multi-objective optimization with a genetic algorithm (NSGA-II) simulating the thermal behavior in EnergyPlus and performing the optimization with a Python language programming code, totalizing 80,000 simulations. The main results showed that solar orientation optimization could reduce the total demand by 4% for the “H” shape and 22% for linear buildings in the isolated scenario. For the condominium condition, the reduction is 2% for the “H” typology and 8% for the linear shape. The results presented can help engineers and architects to design more energy-efficient buildings and address the energetic vulnerability in the same building. Moreover, future work can be carried out to improve the constructive pattern replicated all over the country, improving the surroundings. |
| ArticleNumber | 112838 |
| Author | Benincá, Letiane Passuello, Ana Karini Leitzke, Rodrigo Maria González Barroso, José Crespo Sánchez, Eva Grala da Cunha, Eduardo |
| Author_xml | – sequence: 1 givenname: Letiane orcidid: 0000-0003-2854-757X surname: Benincá fullname: Benincá, Letiane email: benincalf@gmail.com organization: Architecture Technology Department, Barcelona School of Architecture (ETSAB), Universitat Politècnica de Catalunya (UPC), Barcelona, Spain – sequence: 2 givenname: Eva surname: Crespo Sánchez fullname: Crespo Sánchez, Eva email: eva.crespo@upc.edu organization: Architecture Technology Department, Sustainability and Metabolism in Architecture and Technology (SMART), Barcelona School of Architecture (ETSAB), Universitat Politècnica de Catalunya (UPC), Barcelona, Spain – sequence: 3 givenname: Ana orcidid: 0000-0003-2961-7787 surname: Passuello fullname: Passuello, Ana email: ana.passuello@ufrgs.br organization: Postgraduate Program in Civil Engineering: Construction and Infrastructure (PPGCI), Federal University of Rio Grande do Sul (UFRGS), Brazil – sequence: 4 givenname: Rodrigo surname: Karini Leitzke fullname: Karini Leitzke, Rodrigo organization: Departament of Technology, Federal University of Pelotas (UFPel), Pelotas, Brazil – sequence: 5 givenname: Eduardo surname: Grala da Cunha fullname: Grala da Cunha, Eduardo email: eduardo.grala@ufpel.edu.br organization: Departament of Technology, Federal University of Pelotas (UFPel), Pelotas, Brazil – sequence: 6 givenname: José surname: Maria González Barroso fullname: Maria González Barroso, José organization: Architecture Technology Department, Barcelona School of Architecture (ETSAB), Universitat Politècnica de Catalunya (UPC), Barcelona, Spain |
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| Title | Multi-objective optimization of the solar orientation of two residential multifamily buildings in south Brazil |
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