Journal ArticleDOI
HVAC system optimization with CO2 concentration control using genetic algorithms
Velimir Čongradac,Filip Kulic +1 more
Reads0
Chats0
TLDR
In this article, the use of genetic algorithms (GAs) for operating standard HVAC systems (HVAC) in order to optimize performance, primarily with regard to power saving.About:
This article is published in Energy and Buildings.The article was published on 2009-05-01. It has received 116 citations till now. The article focuses on the topics: Genetic algorithm & HVAC.read more
Citations
More filters
Journal ArticleDOI
Genetic-algorithm based approach to optimize building envelope design for residential buildings
TL;DR: In this article, a simulation optimization tool was developed and applied to optimize building shape and building envelope features to minimize energy use for residential buildings, including wall and roof constructions, foundation types, insulation levels, and window types and areas.
Journal ArticleDOI
Assessing gaps and needs for integrating building performance optimization tools in net zero energy buildings design
TL;DR: The findings indicate a breakthrough in using evolutionary algorithms in solving highly constrained envelope, HVAC and renewable optimization problems and some future directions anticipated or needed for improvement of current tools are presented.
Journal ArticleDOI
Towards sustainable, energy-efficient and healthy ventilation strategies in buildings: A review
TL;DR: In this article, a review of the development of energy-efficient and healthy ventilation in buildings is presented, where the influence of occupants' behaviour on the energy use and the correlation between ventilation and the occupants' health and productivity are also considered.
Journal ArticleDOI
Modeling and optimization of HVAC energy consumption
TL;DR: In this article, a data-driven approach for minimization of the energy to air condition a typical office-type facility is presented, where eight data-mining algorithms are applied to model the nonlinear relationship among energy consumption, control settings (supply air temperature and supply air static pressure), and a set of uncontrollable parameters.
Journal ArticleDOI
Optimization of envelope and HVAC systems selection for residential buildings
Youssef Bichiou,Moncef Krarti +1 more
TL;DR: In this paper, a comprehensive energy simulation environment is developed and presented to optimally select both building envelope features and heating and air conditioning system design and operation settings, which is able to determine the building design features that minimize the life cycle costs.
References
More filters
Book
Practical Genetic Algorithms
Randy L. Haupt,Sue Ellen Haupt +1 more
TL;DR: Introduction to Optimization The Binary genetic Algorithm The Continuous Parameter Genetic Algorithm Applications An Added Level of Sophistication Advanced Applications Evolutionary Trends Appendix Glossary Index.
Book
Practical handbook of genetic algorithms
TL;DR: The Practical Handbook of Genetic Algorithms is an exciting introduction to the power of this approach to solving new and exciting problems faced in the real world.
Book
Systems and control
TL;DR: This chapter discusses Dynamical Systems and Modeling, a Treatise on Modeling Equations and its Applications to Neural Networks, and its applications to Genetic and Evolutionary Algorithms.
Journal ArticleDOI
Global optimization of absorption chiller system by genetic algorithm and neural network
TL;DR: A new concept of integrating neural network (NN) and genetic algorithm (GA) in the optimal control of absorption chiller system is introduced and results appear promising.
On the thermal interaction of building structure and heating and ventilating system
TL;DR: A submitted manuscript is the author's version of the article upon submission and before peer-review as mentioned in this paper, and the final published version features the final layout of the paper including the volume, issue and page numbers.