Assessing gaps and needs for integrating building performance optimization tools in net zero energy buildings design
Reads0
Chats0
TLDR
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.About:
This article is published in Energy and Buildings.The article was published on 2013-05-01 and is currently open access. It has received 360 citations till now. The article focuses on the topics: Engineering optimization & Simulation-based optimization.read more
Citations
More filters
Journal ArticleDOI
How to evaluate performance of net zero energy building – A literature research
TL;DR: In this article, a guided tour on NZEB evaluation through literature-research is presented, which includes an overview about definitions and energy-efficient measures of NZEBs, and a summary of widely-used research method, tool and performance indicator in evaluation.
Journal ArticleDOI
The early design stage of a building envelope: Multi-objective search through heating, cooling and lighting energy performance analysis
TL;DR: In this article, an integrative approach for the early stages of building design is proposed to obtain detailed information on energy efficient envelope configurations by means of genetic algorithms, a multi-objective search was performed with the aim of minimising the energy need for heating, cooling and lighting of a case study.
Journal ArticleDOI
The effect of building envelope on the thermal comfort and energy saving for high-rise buildings in hot–humid climate
Seyedehzahra Mirrahimi,Mohd. Farid Mohamed,Lim Chin Haw,Nik Lukman Nik Ibrahim,Wardah Fatimah Mohammad Yusoff,Ardalan Aflaki +5 more
TL;DR: In this article, the effect of building envelopes on energy consumption and thermal performance of high-rise buildings in the Malaysian tropical climate was investigated. But, the results of the other studies that establish to the selecting of proper parameters of building envelope to the highrise residential.
Journal ArticleDOI
A review on optimization methods applied in energy-efficient building geometry and envelope design
TL;DR: An extensive review of the optimization methods and their application in energy-efficient architectural building design to better identify the potentials and applicability of different optimization methods is provided.
Journal ArticleDOI
Smart energy systems for sustainable smart cities: Current developments, trends and future directions
TL;DR: This review looks at the current developments in the smart energy sector, focussing on techniques in the main application areas along with relevant implemented examples, while highlighting some of the key challenges currently faced and outlining future pathways for the sector.
References
More filters
Book
Genetic algorithms in search, optimization, and machine learning
TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.
Journal ArticleDOI
Optimization by Simulated Annealing
TL;DR: There is a deep and useful connection between statistical mechanics and multivariate or combinatorial optimization (finding the minimum of a given function depending on many parameters), and a detailed analogy with annealing in solids provides a framework for optimization of very large and complex systems.
Journal ArticleDOI
A fast and elitist multiobjective genetic algorithm: NSGA-II
TL;DR: This paper suggests a non-dominated sorting-based MOEA, called NSGA-II (Non-dominated Sorting Genetic Algorithm II), which alleviates all of the above three difficulties, and modify the definition of dominance in order to solve constrained multi-objective problems efficiently.
Journal ArticleDOI
Equation of state calculations by fast computing machines
TL;DR: In this article, a modified Monte Carlo integration over configuration space is used to investigate the properties of a two-dimensional rigid-sphere system with a set of interacting individual molecules, and the results are compared to free volume equations of state and a four-term virial coefficient expansion.
Genetic algorithms in search, optimization and machine learning
TL;DR: This book brings together the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields.