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Load Prediction Algorithms for Multi-Source District Heating

Eisenga, Endre, J. R. (2021) Load Prediction Algorithms for Multi-Source District Heating. Integration Project, Industrial Engineering and Management.

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Abstract

Multi-source district heating is a network of heat producers and heat consumers connected to each other by underground water pipelines. This system is used to incorporate green energy sources. However, these green energy sources output fluctuate more than the output of the coal based heat producers. In order to control this fluctuating supply in the multi-source district heating network, a controller is needed that requires short term prediction of the heat demand of the consumers. In this thesis a prediction algorithm is made based on the thermal physical system of the consumers, for example the outdoor temperature of the houses and the flow of water through the radiator. As well as the social behaviour of the consumers, for example is the consumer willing to save energy or not. In order to test the prediction algorithm designed, numerical simulations are carried out with a suggested controller. This resulted in the conclusion that when accurate values for the thermal physical system and the social behaviour of the consumer are imported, a feasible prediction for the load demand of the consumers can be made.

Item Type: Thesis (Integration Project)
Supervisor name: Machado Martinez, J.E. and Bosch, A.J. and Scherpen, J.M.A.
Degree programme: Industrial Engineering and Management
Thesis type: Integration Project
Language: English
Date Deposited: 07 Jul 2021 09:35
Last Modified: 07 Jul 2021 09:35
URI: https://fse.studenttheses.ub.rug.nl/id/eprint/24945

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