Abstract
The difficulty to accurately assess the impact of energy efficiency retrofits and the impact of energy efficiency policies is a widely recognized barrier to the wider deployment of Demand-Side Management (DSM). The task is complicated by the dynamic nature and coupled interaction of the sub-system and the high correlation with weather and other perturbations. A regression-based model of the load is estimated using measured data from the pre-DSM period for the city of Abu Dhabi, UAE, and is then used to generate proxies representing the main characteristics of the Abu Dhabi urban buildings which impact the cooling load. The sensitivity analysis to variations of the most important proxies that drive cooling load was performed, and the impact assessed for the aggregate urban area of Abu Dhabi municipality. Well targeted DSM interventions can achieve an average 20% improvement of the cooling process in Abu-Dhabi. The present study estimates that an emirate-wide program could result in a peak load relief of 6.6% and annual energy conservation of 9.2% (respectively 450 MW and 3,600 GWh based on 2010 emirate-wide electricity use statistics).
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