Passive Optimization Design Based on Particle Swarm Optimization in Rural Buildings of the Hot Summer and Warm Winter Zone of China
Shilei Lu,Ran Wang,Shaoqun Zheng +2 more
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TLDR
In this article, the authors evaluated the quantitative relationship between building shape parameter, envelope parameters, shading system, courtyard and the energy consumption as well as the impact on indoor thermal comfort of rural residential buildings in the hot summer and warm winter zone (HWWZ).Abstract:
The development of green building is an important way to solve the environmental problems of China’s construction industry. Energy conservation and energy utilization are important for the green building evaluation criteria (GBEC). The objective of this study is to evaluate the quantitative relationship between building shape parameter, envelope parameters, shading system, courtyard and the energy consumption (EC) as well as the impact on indoor thermal comfort of rural residential buildings in the hot summer and warm winter zone (HWWZ). Taking Quanzhou (Fujian Province of China) as an example, based on the field investigation, EnergyPlus is used to build the building performance model. In addition, the classical particle swarm optimization algorithm in GenOpt software is used to optimize the various factors affecting the EC. Single-objective optimization has provided guidance to the multi-dimensional optimization and regression analysis is used to find the effects of a single input variable on an output variable. Results shows that the energy saving rate of an optimized rural residence is about 26–30% corresponding to the existing rural residence. Moreover, the payback period is about 20 years. A simple case study is used to demonstrate the accuracy of the proposed optimization analysis. The optimization can be used to guide the design of new rural construction in the area and the energy saving transformation of the existing rural houses, which can help to achieve the purpose of energy saving and comfort.read more
Citations
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References
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Proceedings ArticleDOI
Particle swarm optimization
TL;DR: A concept for the optimization of nonlinear functions using particle swarm methodology is introduced, and the evolution of several paradigms is outlined, and an implementation of one of the paradigm is discussed.
Proceedings ArticleDOI
A new optimizer using particle swarm theory
TL;DR: The optimization of nonlinear functions using particle swarm methodology is described and implementations of two paradigms are discussed and compared, including a recently developed locally oriented paradigm.
Journal ArticleDOI
Multiobjective optimization of building design using TRNSYS simulations, genetic algorithm, and Artificial Neural Network
TL;DR: In this paper, the authors used a simulation-based Artificial Neural Network (ANN) to characterize building behavior, and then combined this ANN with a multiobjective Genetic Algorithm (NSGA-II) for optimization.
Journal ArticleDOI
Clarifying the new interpretations of the concept of sustainable building
TL;DR: A review of definitions of sustainable building shows that the terminology needs clarification as many difficulties exist in identifying sustainability in the built environment as discussed by the authors, and some requirements for a better definition of a sustainable building are indicated.
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.