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Green Performance Evaluation System for Energy-Efficiency-Based Planning for Construction Site Layout

Author

Listed:
  • Cynthia Changxin Wang

    (Faculty of Built Environment, University of New South Wales, Sydney NSW 2052, Australia)

  • Samad M.E. Sepasgozar

    (Faculty of Built Environment, University of New South Wales, Sydney NSW 2052, Australia)

  • Mudan Wang

    (Faculty of Built Environment, University of New South Wales, Sydney NSW 2052, Australia)

  • Jun Sun

    (School of Civil Engineering and Mechanics, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Xin Ning

    (School of Investment & Construction Management, Dongbei University of Finance and Economics, Dalian 116025, China)

Abstract

The location of temporary facilities in a construction project and the entire site layout plan directly affect project objectives such as time, labor cost, and material transportation and handling. The layout of construction sites also affects entrainment factors such as energy consumption, carbon footprints, and overall construction operation productivity. While site layout planning has been intensively investigated from a project objectives perspective, there have been very few studies of energy-efficiency-based planning, or of the sustainability performance of site layouts. This study developed a green performance evaluation system aimed at improving the sustainability of construction site layouts. The identified factors include six sustainable evaluation categories covering energy conservation and environmental protection, people-oriented principles, construction efficiency, intensity of economic growth, intensity of space use, and the overall control of process. An analytic hierarchy process (AHP) was adopted to determine the weight of each attribute and a fuzzy comprehensive evaluation method was established to carry out the evaluation. The 23 attributes adopted in this paper were identified in the literature; however, the major contribution of this paper is the development of a green performance evaluation system. This system integrates both qualitative and quantitative attributes and provides an overall evaluation of the environmental effectiveness of a construction site layout. The proposed evaluation system was validated with a commercial building project. The average utilization ratio of the case study site was calculated as 94%, and lessons learned are discussed in this paper. The case study analysis identified available site spaces around the building and examined how the arrangement of resources and facilities ensures effective connection between construction activities. The findings showed that the facility’s layout plays a crucial role in energy consumption and green performance. The proposed system will support construction project managers to create high-performance construction site layouts in more scientific and systematic ways.

Suggested Citation

  • Cynthia Changxin Wang & Samad M.E. Sepasgozar & Mudan Wang & Jun Sun & Xin Ning, 2019. "Green Performance Evaluation System for Energy-Efficiency-Based Planning for Construction Site Layout," Energies, MDPI, vol. 12(24), pages 1-21, December.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:24:p:4620-:d:294612
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    References listed on IDEAS

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    1. Li, Yong & Oberheitmann, Andreas, 2009. "Challenges of rapid economic growth in China: Reconciling sustainable energy use, environmental stewardship and social development," Energy Policy, Elsevier, vol. 37(4), pages 1412-1422, April.
    2. Abu Bakar, Nur Najihah & Hassan, Mohammad Yusri & Abdullah, Hayati & Rahman, Hasimah Abdul & Abdullah, Md Pauzi & Hussin, Faridah & Bandi, Masilah, 2015. "Energy efficiency index as an indicator for measuring building energy performance: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 1-11.
    3. Dunker, Thomas & Radons, Gunter & Westkamper, Engelbert, 2005. "Combining evolutionary computation and dynamic programming for solving a dynamic facility layout problem," European Journal of Operational Research, Elsevier, vol. 165(1), pages 55-69, August.
    4. Ka-Chi Lam & Xin Ning & Thomas Ng, 2007. "The application of the ant colony optimization algorithm to the construction site layout planning problem," Construction Management and Economics, Taylor & Francis Journals, vol. 25(4), pages 359-374.
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    3. Qadeer Ali & Muhammad Jamaluddin Thaheem & Fahim Ullah & Samad M. E. Sepasgozar, 2020. "The Performance Gap in Energy-Efficient Office Buildings: How the Occupants Can Help?," Energies, MDPI, vol. 13(6), pages 1-27, March.
    4. Liu, Wu & Hui, Longxuan & Lu, Yuting & Tang, Jinsong, 2020. "Developing an evaluation method for SCADA-Controlled urban gas infrastructure hierarchical design using multi-level fuzzy comprehensive evaluation," International Journal of Critical Infrastructure Protection, Elsevier, vol. 30(C).
    5. Matheus Koengkan & José Alberto Fuinhas & Magdalena Radulescu & Emad Kazemzadeh & Nooshin Karimi Alavijeh & Renato Santiago & Mônica Teixeira, 2023. "Assessing the Role of Financial Incentives in Promoting Eco-Friendly Houses in the Lisbon Metropolitan Area—Portugal," Energies, MDPI, vol. 16(4), pages 1-20, February.

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