Multi-Objective Optimization of the Envelope of Building with Natural Ventilation
A properly designed house should provide occupants with the high level of thermal comfort at low energy demand. On many occasions investors choose to add additional insulation to the buildings to reduce heat demand. This may lead to overheating of the building without a cooling system in summer peri...
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-05-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1996-1073/11/6/1383 |
| _version_ | 1818014639885123584 |
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| author | Krzysztof Grygierek Joanna Ferdyn-Grygierek |
| author_facet | Krzysztof Grygierek Joanna Ferdyn-Grygierek |
| author_sort | Krzysztof Grygierek |
| collection | DOAJ |
| description | A properly designed house should provide occupants with the high level of thermal comfort at low energy demand. On many occasions investors choose to add additional insulation to the buildings to reduce heat demand. This may lead to overheating of the building without a cooling system in summer periods (these prevail in Poland). Additionally, it affects the deterioration of thermal comfort, which can only be improved by increasing ventilation. The paper presents the multi-objective optimization of the selected design parameters in a single-family building in temperate climate conditions. The influence of four types of windows, their size, building orientation, insulation of external wall, roof and ground floor and infiltration on the life cycle costs and thermal comfort is analyzed for the building without cooling. Infiltration changes during the simulation and is controlled by a special controller. Its task is to imitate the behavior of occupants in changing the supply airflow. Optimal selection of the design parameters is carried out using Non-dominated Sorting Genetic Algorithm II (NSGA-II) by coupling the building performance simulation program EnergyPlus with optimization environment. For the single-family house, optimal values of design variables for three different criteria are presented. |
| first_indexed | 2024-04-14T06:46:46Z |
| format | Article |
| id | doaj.art-96a1b464c0384a5a82ad05071fc3c201 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-14T06:46:46Z |
| publishDate | 2018-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-96a1b464c0384a5a82ad05071fc3c2012022-12-22T02:07:08ZengMDPI AGEnergies1996-10732018-05-01116138310.3390/en11061383en11061383Multi-Objective Optimization of the Envelope of Building with Natural VentilationKrzysztof Grygierek0Joanna Ferdyn-Grygierek1Faculty of Civil Engineering, The Silesian University of Technology, 44-100 Gliwice, PolandFaculty of Energy and Environmental Engineering, The Silesian University of Technology, 44-100 Gliwice, PolandA properly designed house should provide occupants with the high level of thermal comfort at low energy demand. On many occasions investors choose to add additional insulation to the buildings to reduce heat demand. This may lead to overheating of the building without a cooling system in summer periods (these prevail in Poland). Additionally, it affects the deterioration of thermal comfort, which can only be improved by increasing ventilation. The paper presents the multi-objective optimization of the selected design parameters in a single-family building in temperate climate conditions. The influence of four types of windows, their size, building orientation, insulation of external wall, roof and ground floor and infiltration on the life cycle costs and thermal comfort is analyzed for the building without cooling. Infiltration changes during the simulation and is controlled by a special controller. Its task is to imitate the behavior of occupants in changing the supply airflow. Optimal selection of the design parameters is carried out using Non-dominated Sorting Genetic Algorithm II (NSGA-II) by coupling the building performance simulation program EnergyPlus with optimization environment. For the single-family house, optimal values of design variables for three different criteria are presented.http://www.mdpi.com/1996-1073/11/6/1383multi-objective optimizationheating demandgenetic algorithmsbuilding envelopelife cycle coststhermal comfort |
| spellingShingle | Krzysztof Grygierek Joanna Ferdyn-Grygierek Multi-Objective Optimization of the Envelope of Building with Natural Ventilation Energies multi-objective optimization heating demand genetic algorithms building envelope life cycle costs thermal comfort |
| title | Multi-Objective Optimization of the Envelope of Building with Natural Ventilation |
| title_full | Multi-Objective Optimization of the Envelope of Building with Natural Ventilation |
| title_fullStr | Multi-Objective Optimization of the Envelope of Building with Natural Ventilation |
| title_full_unstemmed | Multi-Objective Optimization of the Envelope of Building with Natural Ventilation |
| title_short | Multi-Objective Optimization of the Envelope of Building with Natural Ventilation |
| title_sort | multi objective optimization of the envelope of building with natural ventilation |
| topic | multi-objective optimization heating demand genetic algorithms building envelope life cycle costs thermal comfort |
| url | http://www.mdpi.com/1996-1073/11/6/1383 |
| work_keys_str_mv | AT krzysztofgrygierek multiobjectiveoptimizationoftheenvelopeofbuildingwithnaturalventilation AT joannaferdyngrygierek multiobjectiveoptimizationoftheenvelopeofbuildingwithnaturalventilation |