A multi-regional based hybrid method for assessing life cycle energy use of buildings: A case study

Jingke Hong, Xiaoling Zhang, Qiping Shen, Wanqiu Zhang, Yong Feng

Research output: Journal article publicationJournal articleAcademic researchpeer-review

22 Citations (Scopus)

Abstract

In response, this study integrates a multi-regional input-output method with field-based operational data to quantify the total embodied energy consumption and energy transfers from the construction industry and assess the life cycle energy use of residential and office buildings in Guangdong Province. The results show that the embodied energy consumption of the provincial construction industry is localization dominant and fossil fuel oriented, which accounts for approximately 18.6% of the total regional energy consumption. The geographical connection and resource characteristic are the two factors that influence the interregional energy transmissions induced by construction activities in Guangdong province. The result of uncertainty analysis indicates that the mean value of energy intensities simulated by Monte Carlo simulation is highly consistent with the deterministic results. It is crucial to improve the accuracy of the input-output analysis by providing sufficient economic information. At last, a number of recommendations are given through the technology, product, and management aspects at the industrial and building levels. The local government and construction department can benefit from implementing such environment-friendly, technology innovative and multi-disciplinary solutions in the full-process management and improvement of energy reduction of buildings.
Original languageEnglish
Pages (from-to)760-772
Number of pages13
JournalJournal of Cleaner Production
Volume148
DOIs
Publication statusPublished - 1 Apr 2017

Keywords

  • Buildings
  • Construction industry
  • Life cycle energy use
  • Multi-regional input-output model

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Environmental Science(all)
  • Strategy and Management
  • Industrial and Manufacturing Engineering

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