Veldman, Susan (2022) State Estimation in District Heating Systems. Integration Project, Industrial Engineering and Management.
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Abstract
District Heating Systems (DHS) can use a variety of energy sources to heat up buildings in a neighborhood (or a small city) through a network of underground pipelines. Currently, diverse approaches are being explored to make these systems more sustainable, for example, heat losses that occur in the pipe network. This research focuses on the storage tank present in DHS which is used to store hot water and cold water before this water needs to be used. The goal of such a storage tank is to store enough energy so there is no shortage and at the same time to minimize energy losses. An important aspect of DHS operation refers to State Estimation Strategies (SES), concerned with estimating certain variables using system models and sensor data. In particular, estimated quantities can then be used to more effectively control the system. This research provides an overview of the two previously reported SES on a stratified storage tank and their use for the calculation of the State of Charge (SoC), which measures the amount of energy contained in the tank. We have conducted numerical experiments taking as indicators the error margin and ease of use/computational effort. The two SES used are an Observer Design from Sandoval et al, which uses state-space equations, and the Unscented Kalman Filter. The goal of the SES is to estimate the temperature of different control volumes in which there is no temperature sensor present as precisely as possible.
| Item Type: | Thesis (Integration Project) |
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| Supervisor name: | Scherpen, J.M.A. and Machado Martinez, J.E. |
| Degree programme: | Industrial Engineering and Management |
| Thesis type: | Integration Project |
| Language: | English |
| Date Deposited: | 12 Jul 2022 12:25 |
| Last Modified: | 12 Jul 2022 12:25 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/27781 |
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