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Video: Distributed Control of Energy Management Systems - Systems Issues
| Video: Distributed Control of Energy Management Systems Distributed Control of Energy Management Systems Professor Manfred Morari Automatic Control Laboratory, ETH Zurich Abstract: We will describe two examples where model predictive control (originating from the chemical industries) is used to improve the operation and efficiency of energy producers and consumers. River power plants are important contributors to the over 19% of world electricity produced by hydro-electric plants. Built in the natural course of a river, they produce energy by manipulating the water discharge through their facilities. They therefore introduce fluctuations in the river's natural water level and flow, which might conflict with various constraints imposed for environmental and operational purposes. Motivated by these issues, we discuss the application of model predictive control for regulating the turbine discharge of river power plants, taking into account environmental, navigational and economical constraints and limitations. Large disturbances caused by the operation of locks are particularly investigated, as well as the issue of reducing abrasion by keeping the frequency of turbine discharge adjustments modest. In the US buildings consume 39% of the energy and produce 48% of the carbon emissions. We have recently started a project to utilize weather forecasts for building energy management to reduce consumption and improve comfort. We will summarize the potential benefits of a stochastic optimal control strategy in a wide range of locations and X;b>...X;/b> |
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