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. T...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2018-04, Vol.18 (4), p.1144
Main Authors: Grygierek, Krzysztof, Ferdyn-Grygierek, Joanna
Format: Article
Language:English
Subjects:
Air conditioners
Air conditioning
Computer simulation
detached house
energy demand
Evolutionary algorithms
Fuzzy logic
fuzzy logic controller
Fuzzy systems
genetic algorithm
Genetic algorithms
Multiple objective analysis
optimization
Pareto optimization
passive cooling
Residential buildings
Ventilation
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Summary: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.
ISSN:1424-8220
1424-8220
DOI:10.3390/s18041144