Multi-Variable Optimization of Building Thermal Design Using Genetic Algorithms

Multi-Variable Optimization of Building Thermal Design Using Genetic Algorithms

The building sector is one of the largest energy consumers in the world, comprising about 40% of the total energy consumption in numerous countries. Early design decisions have a significant impact on the energy performance of buildings. The paper presents the multi-variable optimization of the sele...

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Bibliographic Details
Main Authors: Joanna Ferdyn-Grygierek, Krzysztof Grygierek
Format: Article
Language:English
Published: MDPI AG 2017-10-01
Series:Energies
Subjects:
optimization
genetic algorithm
detached house
life cycle cost
heating demand
cooling demand
energy consumption
Online Access:https://www.mdpi.com/1996-1073/10/10/1570

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https://www.mdpi.com/1996-1073/10/10/1570

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