Peak Shaving in District Heating Utilizing Adaptive Predictive Control
District heating systems (DHS) are driven by the heat demands of their consumers, with higher demands giving a higher load on the heat production. While heat demands are human-dependent, they contain diurnal behaviors and weather dependencies. The diurnal behaviors contain periods with high demands...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/22/8555 |
| _version_ | 1797465435696791552 |
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| author | Jan Lorenz Svensen |
| author_facet | Jan Lorenz Svensen |
| author_sort | Jan Lorenz Svensen |
| collection | DOAJ |
| description | District heating systems (DHS) are driven by the heat demands of their consumers, with higher demands giving a higher load on the heat production. While heat demands are human-dependent, they contain diurnal behaviors and weather dependencies. The diurnal behaviors contain periods with high demands causing peak loads on the heat production, which is operationally costly. This is especially true for heat pumps, a solution for DHS to include green energy, as the cost depends directly on the needed temperature. This paper presents a formulation of adaptive model predictive control (MPC) for inducing peak shaving on the production load to handle the peak load problem by using the DHS distribution network as a heat storage. It also presents a simulator model to describe the DHS. The MPC was applied to data from a case study of the DHS in Brønderslev, Denmark, showing a peak reduction of around <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>8</mn><mo>%</mo></mrow></semantics></math></inline-formula>. |
| first_indexed | 2024-03-09T18:21:27Z |
| format | Article |
| id | doaj.art-56850a0fb68f46a784357c8d742f8f1f |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T18:21:27Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-56850a0fb68f46a784357c8d742f8f1f2023-11-24T08:14:56ZengMDPI AGEnergies1996-10732022-11-011522855510.3390/en15228555Peak Shaving in District Heating Utilizing Adaptive Predictive ControlJan Lorenz Svensen0Department of Applied Mathematics and Computer Science, Technical University of Denmark, Richard Petersens Plads 324, 2800 Kongens Lyngby, DenmarkDistrict heating systems (DHS) are driven by the heat demands of their consumers, with higher demands giving a higher load on the heat production. While heat demands are human-dependent, they contain diurnal behaviors and weather dependencies. The diurnal behaviors contain periods with high demands causing peak loads on the heat production, which is operationally costly. This is especially true for heat pumps, a solution for DHS to include green energy, as the cost depends directly on the needed temperature. This paper presents a formulation of adaptive model predictive control (MPC) for inducing peak shaving on the production load to handle the peak load problem by using the DHS distribution network as a heat storage. It also presents a simulator model to describe the DHS. The MPC was applied to data from a case study of the DHS in Brønderslev, Denmark, showing a peak reduction of around <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>8</mn><mo>%</mo></mrow></semantics></math></inline-formula>.https://www.mdpi.com/1996-1073/15/22/8555data-driven modelingMPCadaptive controldistrict heating |
| spellingShingle | Jan Lorenz Svensen Peak Shaving in District Heating Utilizing Adaptive Predictive Control Energies data-driven modeling MPC adaptive control district heating |
| title | Peak Shaving in District Heating Utilizing Adaptive Predictive Control |
| title_full | Peak Shaving in District Heating Utilizing Adaptive Predictive Control |
| title_fullStr | Peak Shaving in District Heating Utilizing Adaptive Predictive Control |
| title_full_unstemmed | Peak Shaving in District Heating Utilizing Adaptive Predictive Control |
| title_short | Peak Shaving in District Heating Utilizing Adaptive Predictive Control |
| title_sort | peak shaving in district heating utilizing adaptive predictive control |
| topic | data-driven modeling MPC adaptive control district heating |
| url | https://www.mdpi.com/1996-1073/15/22/8555 |
| work_keys_str_mv | AT janlorenzsvensen peakshavingindistrictheatingutilizingadaptivepredictivecontrol |