Energy-saving parameterized design of buildings based on genetic algorithm

Zhang, K (2020) Energy-saving parameterized design of buildings based on genetic algorithm. International Journal of Building Pathology and Adaptation, 38(5), pp. 785-795. ISSN 23984708

Abstract

Purpose: With the problem of environment and energy becoming prominent, energy conservation and emission reduction have received more attention. In the using process, buildings not only have the inherent energy consumption but also have the energy consumption of equipment that is installed for improving the indoor environment. This study aims to investigate how to reduce the energy consumption of buildings through utilizing natural resources. Design/methodology/approach: This paper briefly introduces three objective functions in the building energy-saving model: building energy consumption, natural lighting and natural ventilation. Genetic algorithm was used to optimize the building parameters to achieve energy conservation and comfort improvement. Then a two-story rental building was analyzed. Findings: The genetic algorithm converged to Pareto optimal solution set after 10,000 times of iterations, which took 61024 s. The lowest energy consumption of the scheme that was selected from the 70 optimal solutions was 5580 W/(m2K), the lighting coefficient was 5.56% and Pressure Difference Pascal Hours (PDPH) was 6453 h; compared with the initial building parameters, the building energy consumption reduced by 3.40%, the lighting coefficient increased by 11.65% and PDPH increased by 9.54%. Originality/value: In short, the genetic algorithm can effectively optimize the energy-saving parameters of buildings.

Item Type: Article
Uncontrolled Keywords: building parameterization; energy conservation; genetic algorithm; multi-objective optimization function
Index terms: comfort, energy consumption, energy-saving, multi-objective optimization, energy conservation, becoming, building energy consumption, natural resource, indoor environment, natural ventilation, methodology, design of building, genetic algorithm
Subjects: energy systems, environmental science, sustainability and energy, environmental resource management, building design, algorithms, research methods, philosophical process, environmental engineering, occupational health and safety management
Topics: Digital Applications, Design Practice, Research Practice, Health and Safety, Sustainability
Descriptive scope: 3 PCT

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here