Abstract

The construction industry is a high-pollution and high-energy-consumption industry. Energy-saving designs for residential buildings not only reduce the energy consumed during construction, but also reduce long-term energy consumption in completed residential buildings. Because building design affects investment costs, designs are often influenced by investors’ decisions. A set of appropriate decision-support tools for residential buildings are required to examine how building design influences corporations externally and internally. From the perspective of energy savings and environmental protection, we combined three methods to develop a unique model for evaluating the energy-saving design of residential buildings. Among these methods, the Delphi group decision-making method provides a co-design feature, the analytical hierarchy process (AHP) includes multi-criteria decision-making techniques, and fuzzy logic theory can simplify complex internal and external factors into easy-to-understand numbers or ratios that facilitate decisions. The results of this study show that incorporating solar building materials, double-skin facades, and green roof designs can effectively provide high energy-saving building designs.

Highlights

  • Building construction and operation contribute to more than one-third of the carbon emissions in the United States [1]

  • 82%–87% of greenhouse gas emissions are from the embodied greenhouse gas emissions of building materials, 6%–8% are from the transportation of building materials, and 6%–9% are caused by the energy consumption of construction equipment [2]

  • Represents the fuzzy quantified output value of green attractions. Once these definitions were completed, the weighting values derived from analytical hierarchy process (AHP), and the fuzzy quantified output values derived from fuzzy logic inference systems (FLIS), could be used to calculate the quantified magnitude value of the level of energy-saving design compliance of the residential building project, which equals Σf ×

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Summary

Introduction

Building construction and operation contribute to more than one-third of the carbon emissions in the United States [1]. The energy-saving measures promoted by the construction industry include green supply chain management [25,26,27], green procurement [28], and green building design [29,30] This issue is gaining importance in countries worldwide, and becoming a goal of policy objectives. The factors evaluated in this model consider corporate social responsibility, attitudes toward environmental protection, and long-term energy-saving factors after the completion of the residential buildings. This model shows the potential importance of each evaluating factor in the early design stages, which can provide professionals with decision-making references during the design stages of energy-saving residential buildings

Model Overview
Developing the Criteria and AHP Hierarchical Framework
Weighting Value of Each Criterion
Developing a Fuzzy Logic Inference System
Defining the Fuzzy Set of the Input and Output Factors in Fuzzy Logic
Input Scenario and Output Mapping
Calculation of the Comprehensive Quantified Evaluation Value
Case Study
Findings
Conclusions
Full Text
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