Evaluation Algorithm of Ecological Energy-Saving Effect of Green Buildings Based on Gray Correlation Degree

Chongyu Wang

doi:10.1155/2021/6705220

Abstract

The environmental protection attribute and energy-saving level of green buildings cannot be described by the traditional evaluation model. In order to solve the above problems, a new ecological energy-saving effect evaluation algorithm of green buildings based on gray correlation degree is designed. Based on the framework of building energy-saving index system, the environmental protection evaluation standards are divided and the results are used to screen the energy-saving indexes, so as to complete the establishment of green building ecological energy-saving index system and standards. Then, the evaluation set is established, and the evaluation scale of each layer of indicators is accurately located according to the weight value of each index. On this basis, the membership matrix is constructed. By calculating the index weight and determining the fuzzy synthesis operator, the rating process of the algorithm is improved and the analysis of the evaluation algorithm of environmental protection and energy conservation indicators of green building materials based on gray correlation degree is realized. The experimental results show that the designed algorithm has good stability of the fitting curve, can save energy, and has low cost.

Highlights

Energy consumption is large all over the world
Based on the ecological energy-saving index system of green buildings, the abstract grade index can be transformed into specific environmental protection evaluation standards by comparing the eigenvalues and standard values of the evaluated object in terms of parameter difference. e main source [4], strength and toughness, pollution intensity, pressure bearing capacity, and pricing range of green building materials are selected as the grading variables of the five environmental protection evaluation standards
In the green building ecological energy-saving index system, the above five indexes correspond to one or more frame structures, and there will be no obvious interaction between them. e four indexes of main source, strength and toughness, pollution intensity, and pressure bearing capacity are only affected by the properties of building materials, which belong to the main evaluation grade classification standard. e pricing range is affected by many factors such as season, output, and sales area, which belongs to the secondary evaluation grade classification standard

Summary

Introduction

Energy consumption is large all over the world. Developing green and energy-saving buildings is the only way to reduce building energy consumption [1]. Based on the above research, an evaluation algorithm of ecological energy-saving effect of green buildings based on gray correlation degree is proposed. Green building ecological energy-saving index system and standard are the application basis of the new evaluation algorithm. Implementing the architectural concept of people-oriented and harmonious coexistence of man and environment and building an environmental protection and energy-saving index system of green building materials can effectively coordinate the relationship between human economic and social development and ecological and environmental protection. A healthy ecological energy-saving index system of green buildings is the dialectical unity of the natural attribute of ecological environment [8] and the evaluation service attribute It is the material basis for ensuring the good development of ecological environment, and the key link to promote the rapid development of building environmental protection theory. Classification of Environmental Protection Evaluation Standards. e grade of environmental protection evaluation standard is the key index to measure the accuracy of

Evaluation service attribute

Evaluation criteria and equivalent division results

Evaluation basis

Experimental Analysis

Conclusion