The purpose of this paper is to create and present a Leadership in Energy and Environmental Design New Construction (LEED NC) building performance assessment model that will identify and prioritize external parameters affecting a LEED-certified building’s operational performance.
The uncertainty associated with external parameters affecting a LEED-certified building’s operational performance is examined through the use of analytic network process (ANP). An ANP model is created based on the extensive literature research and experiences of professionals in the green building industry. Eight case studies are analyzed, and data collected through interviews with experts are utilized in prioritizing external parameters affecting buildings’ operational performance.
The findings show that the most important external parameters affecting a LEED-certified building’s operational performance are lack of enhanced commissioning, lack of life cycle assessment/life cycle costing analysis, lack of energy modeling, and lack of knowledge in green technology. The results demonstrate that both asset value and profit, as well as the economic life of the facility, are mostly affected by the energy efficiency of the building, and consequently LEED NC energy and atmosphere category.
This research contributes to the body of knowledge on green architecture by defining and prioritizing external parameters and their relationships to operational building performance in LEED NC projects. The proposed model can be used by construction managers and facility managers to operate LEED-certified buildings better and reduce environmental impacts throughout the functional life cycle of the building.
Ozcan Deniz, G. (2017), "An analytic network process (ANP) model to examine LEED-certified buildings’ operational performance", Built Environment Project and Asset Management, Vol. 7 No. 4, pp. 366-376. https://doi.org/10.1108/BEPAM-11-2016-0073Download as .RIS
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