Adaptive Operational Strategy Optimization For Energy Efficiency In Net-Zero Energy Building Clusters
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In light of the growing strain on the energy grid and the increased awareness of the significant role buildings play within the energy ecosystem, the need for building operational strategies which minimize energy consumption has never been greater. One of the major hurdles impeding this realization primarily lies not in the lack of decision strategies, but in their inherent lack of adaptability. With most operational strategies partly dictated by a dynamic trio of social, economic and environmental factors, it is important to realize and capitalize on this dynamism to open up new avenues for energy savings. To this end, this thesis develops an adaptive decision framework for developing robust operational strategies in Net-zero energy building clusters. A bi-level operation framework is presented to study the hourly energy trade-offs between operational strategies with respect to energy cost, comfort and uncertainty. The derived Pareto frontiers obtained from the decision model demonstrate that there are significant energy gains to be made with the approach.