Multi-Objectives Optimization of Ventilation Controllers for Passive Cooling in Residential Buildings
An inappropriate indoor climate, mostly indoor temperature, may cause occupants’ discomfort. There are a great number of air conditioning systems that make it possible to maintain the required thermal comfort. Their installation, however, involves high investment costs and high energy demand. The st...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-04-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/18/4/1144 |
| _version_ | 1798025727634833408 |
|---|---|
| author | Krzysztof Grygierek Joanna Ferdyn-Grygierek |
| author_facet | Krzysztof Grygierek Joanna Ferdyn-Grygierek |
| author_sort | Krzysztof Grygierek |
| collection | DOAJ |
| description | An inappropriate indoor climate, mostly indoor temperature, may cause occupants’ discomfort. There are a great number of air conditioning systems that make it possible to maintain the required thermal comfort. Their installation, however, involves high investment costs and high energy demand. The study analyses the possibilities of limiting too high a temperature in residential buildings using passive cooling by means of ventilation with ambient cool air. A fuzzy logic controller whose aim is to control mechanical ventilation has been proposed and optimized. In order to optimize the controller, the modified Multiobjective Evolutionary Algorithm, based on the Strength Pareto Evolutionary Algorithm, has been adopted. The optimization algorithm has been implemented in MATLAB®, which is coupled by MLE+ with EnergyPlus for performing dynamic co-simulation between the programs. The example of a single detached building shows that the occupants’ thermal comfort in a transitional climate may improve significantly owing to mechanical ventilation controlled by the suggested fuzzy logic controller. When the system is connected to the traditional cooling system, it may further bring about a decrease in cooling demand. |
| first_indexed | 2024-04-11T18:23:37Z |
| format | Article |
| id | doaj.art-c6efdb690f0c46c295401e93e9f97369 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T18:23:37Z |
| publishDate | 2018-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-c6efdb690f0c46c295401e93e9f973692022-12-22T04:09:42ZengMDPI AGSensors1424-82202018-04-01184114410.3390/s18041144s18041144Multi-Objectives Optimization of Ventilation Controllers for Passive Cooling in Residential BuildingsKrzysztof Grygierek0Joanna Ferdyn-Grygierek1Faculty of Civil Engineering, The Silesian University of Technology, Akademicka 5, 44-100 Gliwice, PolandFaculty of Energy and Environmental Engineering, The Silesian University of Technology, Konarskiego 18, 44-100 Gliwice, PolandAn inappropriate indoor climate, mostly indoor temperature, may cause occupants’ discomfort. There are a great number of air conditioning systems that make it possible to maintain the required thermal comfort. Their installation, however, involves high investment costs and high energy demand. The study analyses the possibilities of limiting too high a temperature in residential buildings using passive cooling by means of ventilation with ambient cool air. A fuzzy logic controller whose aim is to control mechanical ventilation has been proposed and optimized. In order to optimize the controller, the modified Multiobjective Evolutionary Algorithm, based on the Strength Pareto Evolutionary Algorithm, has been adopted. The optimization algorithm has been implemented in MATLAB®, which is coupled by MLE+ with EnergyPlus for performing dynamic co-simulation between the programs. The example of a single detached building shows that the occupants’ thermal comfort in a transitional climate may improve significantly owing to mechanical ventilation controlled by the suggested fuzzy logic controller. When the system is connected to the traditional cooling system, it may further bring about a decrease in cooling demand.http://www.mdpi.com/1424-8220/18/4/1144optimizationgenetic algorithmfuzzy logic controllerdetached housepassive coolingenergy demand |
| spellingShingle | Krzysztof Grygierek Joanna Ferdyn-Grygierek Multi-Objectives Optimization of Ventilation Controllers for Passive Cooling in Residential Buildings Sensors optimization genetic algorithm fuzzy logic controller detached house passive cooling energy demand |
| title | Multi-Objectives Optimization of Ventilation Controllers for Passive Cooling in Residential Buildings |
| title_full | Multi-Objectives Optimization of Ventilation Controllers for Passive Cooling in Residential Buildings |
| title_fullStr | Multi-Objectives Optimization of Ventilation Controllers for Passive Cooling in Residential Buildings |
| title_full_unstemmed | Multi-Objectives Optimization of Ventilation Controllers for Passive Cooling in Residential Buildings |
| title_short | Multi-Objectives Optimization of Ventilation Controllers for Passive Cooling in Residential Buildings |
| title_sort | multi objectives optimization of ventilation controllers for passive cooling in residential buildings |
| topic | optimization genetic algorithm fuzzy logic controller detached house passive cooling energy demand |
| url | http://www.mdpi.com/1424-8220/18/4/1144 |
| work_keys_str_mv | AT krzysztofgrygierek multiobjectivesoptimizationofventilationcontrollersforpassivecoolinginresidentialbuildings AT joannaferdyngrygierek multiobjectivesoptimizationofventilationcontrollersforpassivecoolinginresidentialbuildings |