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A Tool for Modeling and Optimization of Residential Electricity Consumption

Authors
Eysholdt, Moritz (University of Oldenburg, Department of Computing Science, Environmental Informatics)
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Denecke, Ulrich (University of Oldenburg, Department of Computing Science, Environmental Informatics)
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Belasus, Michael (University of Oldenburg, Department of Computing Science, Environmental Informatics)
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Bley, Christian (University of Oldenburg, Department of Computing Science, Environmental Informatics)
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Eilers, Mark (University of Oldenburg, Department of Computing Science, Environmental Informatics)
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Erlmann, Michael (University of Oldenburg, Department of Computing Science, Environmental Informatics)
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Hinrichs, Christian (University of Oldenburg, Department of Computing Science, Environmental Informatics)
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Hurrelmann, Malte (University of Oldenburg, Department of Computing Science, Environmental Informatics)
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Bremer, Jörg (University of Oldenburg, Department of Computing Science, Environmental Informatics)
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Rapp, Barbara (University of Oldenburg, Department of Computing Science, Environmental Informatics)
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Sonnenschein, Michael (University of Oldenburg, Department of Computing Science, Environmental Informatics)
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Vogel, Ute (University of Oldenburg, Department of Computing Science, Environmental Informatics)
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Chapter Environmental Modelling and Simulation
Volume Environmental Informatics and Industrial Ecology
Conference Environmental Informatics and Industrial Ecology
Lüneburg, 2008
Year 2008
Abstract of the Article
Today's households face a huge variety of electricity consuming devices on the one hand, and increasing electricity prices and increased awareness for environmental sustainability on the other hand. Fluctuating electricity tariffs currently evaluated by electricity suppliers have the potential to make it even more complex for the electricity consumer to keep costs low. We want to help the consumer to manage this complexity and increase her or his awareness for the electricity consumption of the household's devices. Therefore, we have developed a tool which allows modelling and simulating the set of electricity consuming devices, their loads, and electricity tariffs. It is possible to create schedules for the usage of devices, calculate the resulting load curve and automatically optimize the schedule based on fluctuating power tariffs while paying attention to customer definable constraints. Furthermore, the tool allows comparing modeled and metered load curves, which is especially useful to evaluate correctness and completeness of the household's model. To decrease the modeling effort, the tool can access libraries of predefined devices and tariffs via the Internet.
Pages 319 - 326
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