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Evaluating the Performance of Leadership in Energy and Environmental Design (LEED) Certified Facilities using Data-Driven Predictive Models for Energy and Occupant Satisfaction with Indoor Environmental Quality (IEQ)

Abstract Given the importance of buildings as major consumers of resources worldwide, several organizations are working avidly to ensure the negative impacts of buildings are minimized. The U.S. Green Building Council's (USGBC) Leadership in Energy and Environmental Design (LEED) rating system is one such effort to recognize buildings that are designed to achieve a superior performance in several areas including energy consumption and indoor environmental quality (IEQ). The primary objectives of this study are to investigate the performance of LEED certified facilities in terms of energy consumption and occupant satisfaction with IEQ, and introduce a framework to assess the performance of LEED certified buildings.

This thesis attempts to achiev... (more)
Created Date 2015
Contributor Chokor, Abbas (Author) / El Asmar, Mounir (Advisor) / Chong, Oswald (Committee member) / Parrish, Kristen (Committee member) / Arizona State University (Publisher)
Subject Sustainability / Statistics / Civil engineering / Data Analytics / Energy Consumption / Indoor Environmental Quality / LEED Buildings / Predictive Models / Sustainability
Type Masters Thesis
Extent 137 pages
Language English
Reuse Permissions All Rights Reserved
Note Masters Thesis Engineering 2015
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis