首页|Research on intelligent measurement and driving mechanism of influencing factors of building energy saving
Research on intelligent measurement and driving mechanism of influencing factors of building energy saving
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NSTL
Elsevier
? 2022 Elsevier LtdFrom project conception, planning and design, construction to operation and maintenance, construction project covers multiple aspects (including policy, resources, materials, environment, economy, and the public) and have the characteristics of complexity, long-term, and multi-factor. Based on literature research, the relationship between the main bodies of energy conservation in construction projects is established, research hypotheses are proposed, and a theoretical model of energy conservation-driven construction projects throughout the life cycle is designed in this paper. Besides, variable measurement is developed through surveys and expert interviews, and data are obtained from questionnaire surveys. Statistical analysis software such as SPSS 19 is employed to perform descriptive statistics, reliability tests, and validity analysis on sample data. Afterward, sample data is extracted through exploratory factor analysis to obtain five factors of government policy, energy-saving technology, energy-saving awareness, facility management, and energy-saving motivation. The initial structural equation model is built using AMOS 21. Additionally, the external quality and internal fit of the initial model are evaluated, and the optimized structural equation model is obtained. Finally, the theoretical model and optimization model are adopted to test the research hypothesis, clarify the relationship and path between various influencing factors, and explore the energy-saving driving mechanism of the whole life cycle of the construction project.
Construction project energy savingDriving mechanismFull life cycleInfluencing factorsSEM
Zhao L.、Zhang W.
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School of Information and Electronics Engineering Jiangsu Vocational Institute of Architectural Technology
Institute of Building Intelligence Jiangsu Vocational Institute of Architectural Technology
NSTL
Elsevier
