2011 · 103 citations · 8 references
Energy ConsumptionEnergy ControlEngineeringIntelligent Energy SystemSmart GridEnergy EfficiencyEnergy System MonitoringEnergy ManagementEnergy OptimizationSystems EngineeringMicrogridsEnergy OperationBuilding EnergyBuilding Energy ConservationDemand ResponseEnergy System OperationEnergy Demand ManagementOptimization Formulation
Intelligent consumer energy‑management systems are becoming key at smart‑grid delivery points, enabling end users to monitor consumption while utilities gain flexible peak‑demand control, and with widespread distributed generation many buildings will evolve into microgrids linking generation, storage, and loads. The study frames energy management and control for such facilities as a large‑scale optimization problem. The authors consider supply‑side and demand‑side elements such as on‑site renewables, storage, electric vehicles, dynamic pricing, and load management, noting that the problem requires mixed‑integer, nonlinear, constrained optimization. An optimization‑based solution was implemented at a Dutch hospital, yielding quantified economic benefits and demonstrating cost savings.
Intelligent consumer energy management systems will become important elements at the delivery points of the smart grid inside homes, buildings, and industrial plants. The end users will be able to better monitor and manage their energy consumption, while utilities will gain more flexible mechanisms for management of peak demands that will extend beyond demand response initiatives as they are implemented today. With a broader use of distributed generation many buildings and campuses will become microgrids interconnecting multiple generation, storage, and consumption devices of one or several end users. We discuss how energy management and control for such facilities can be viewed as a large-scale optimization problem. Specific supply-side and demand-side aspects include on-site renewable generation, storage technologies, electric cars, dynamic pricing, and load management. Technical challenges related to the optimization formulation are noted - in general, mixed-integer, nonlinear, constrained optimization is needed. We also describe an implementation of optimization-based energy management solution for a hospital in the Netherlands, providing economic details and an analysis of the savings achieved.
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Wind Power Forecasting and Electricity Market Operations
Audun Botterud, Vladimiro Miranda, Jianhui Wang et al. · 2009 · 42 citations · Full text