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

doi:10.3390/su9122288

Shilei Lu, Ran Wang + Show 1 more

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https://doi.org/10.3390/su9122288

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Journal: Sustainability	Publication Date: Dec 13, 2017
Citations: 15	License type: CC BY 4.0

Affiliation: Tianjin University

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.

Highlights

Owing to the significant increase in global temperatures, climate change has become more apparent over recent decades [1]
There is no significant correlation between the energy consumption (EC) and the K of Ew in the two types of buildings
In order to adapt to the development of green building in response to the 13th “Five-Year plan” of China, improving building performance is one of the top priorities

Summary

Introduction

Owing to the significant increase in global temperatures, climate change has become more apparent over recent decades [1]. Developing green buildings is an important way to solve the environmental problems of China’s construction industry. China’s 12th “Five-Year plan” focused on popularizing the concept of green development, improving energy saving technology standards and realizing the scientific transformation of urban and rural construction mode [7]. A total housing construction area of about 27.8 billion square meters and accounting for about 65% in the rural area of China [10], the energy-saving work of rural buildings is important. The energy saving design and renovation of rural areas is still blindly copying the urban living standards, the construction of rural residential buildings has always been the individual behavior of farmers, who rarely consider the energy-saving design [10]. Within comparison to the developed countries, China’s building energy-saving work started late, especially in the small cities and rural areas.

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