A case study on using district heating network flexibility for thermal load shifting
In district heating (DH) systems, the time of use of energy is becoming more important. For example, the use of sustainable baseload units over peak units is favored. Also heat production units coupled to the electricity grid, such as cogeneration plants and heat pumps, can profit from fluctuating p...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-10-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484721008362 |
| _version_ | 1818925944885215232 |
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| author | Tijs Van Oevelen Luca Scapino Jad Al Koussa Dirk Vanhoudt |
| author_facet | Tijs Van Oevelen Luca Scapino Jad Al Koussa Dirk Vanhoudt |
| author_sort | Tijs Van Oevelen |
| collection | DOAJ |
| description | In district heating (DH) systems, the time of use of energy is becoming more important. For example, the use of sustainable baseload units over peak units is favored. Also heat production units coupled to the electricity grid, such as cogeneration plants and heat pumps, can profit from fluctuating prices and balance the electricity network at the same time. In this context, DH utility companies can benefit from shifting thermal loads in time. In the H2020 TEMPO project, a case study is being conducted to shift thermal loads using the thermal flexibility of the DH network. The thermal storage capacity of the network is utilized by dynamically changing the supply temperature. The study consists of two experimental campaigns, designed to dynamically characterize the available storage capacity in the DH network. In these campaigns, the supply temperature in one of the TEMPO demo sites was increased/decreased several times per day. The flow rate, supply and return temperatures were measured at the heat source and at a large customer building. The analysis of the experimental results focused on two aspects: the propagation of flow temperatures through the network and the response of customer substations to supply temperature changes. The data and knowledge gathered in these test campaigns will be used to develop models for a model predictive controller (MPC) which will be tested in the next heating season. |
| first_indexed | 2024-12-20T02:49:17Z |
| format | Article |
| id | doaj.art-14ca6463463a4565935aa3508d596ce4 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-12-20T02:49:17Z |
| publishDate | 2021-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-14ca6463463a4565935aa3508d596ce42022-12-21T19:56:04ZengElsevierEnergy Reports2352-48472021-10-01718A case study on using district heating network flexibility for thermal load shiftingTijs Van Oevelen0Luca Scapino1Jad Al Koussa2Dirk Vanhoudt3Corresponding author at: VITO, Boeretang 200, 2400 Mol, Belgium.; VITO, Boeretang 200, 2400 Mol, Belgium; EnergyVille, Thor Park 8310, 3600 Genk, BelgiumVITO, Boeretang 200, 2400 Mol, Belgium; EnergyVille, Thor Park 8310, 3600 Genk, BelgiumVITO, Boeretang 200, 2400 Mol, Belgium; EnergyVille, Thor Park 8310, 3600 Genk, BelgiumVITO, Boeretang 200, 2400 Mol, Belgium; EnergyVille, Thor Park 8310, 3600 Genk, BelgiumIn district heating (DH) systems, the time of use of energy is becoming more important. For example, the use of sustainable baseload units over peak units is favored. Also heat production units coupled to the electricity grid, such as cogeneration plants and heat pumps, can profit from fluctuating prices and balance the electricity network at the same time. In this context, DH utility companies can benefit from shifting thermal loads in time. In the H2020 TEMPO project, a case study is being conducted to shift thermal loads using the thermal flexibility of the DH network. The thermal storage capacity of the network is utilized by dynamically changing the supply temperature. The study consists of two experimental campaigns, designed to dynamically characterize the available storage capacity in the DH network. In these campaigns, the supply temperature in one of the TEMPO demo sites was increased/decreased several times per day. The flow rate, supply and return temperatures were measured at the heat source and at a large customer building. The analysis of the experimental results focused on two aspects: the propagation of flow temperatures through the network and the response of customer substations to supply temperature changes. The data and knowledge gathered in these test campaigns will be used to develop models for a model predictive controller (MPC) which will be tested in the next heating season.http://www.sciencedirect.com/science/article/pii/S2352484721008362Thermal networks flexibilitySupply temperature response testsSubstation response testsExperimental campaign |
| spellingShingle | Tijs Van Oevelen Luca Scapino Jad Al Koussa Dirk Vanhoudt A case study on using district heating network flexibility for thermal load shifting Energy Reports Thermal networks flexibility Supply temperature response tests Substation response tests Experimental campaign |
| title | A case study on using district heating network flexibility for thermal load shifting |
| title_full | A case study on using district heating network flexibility for thermal load shifting |
| title_fullStr | A case study on using district heating network flexibility for thermal load shifting |
| title_full_unstemmed | A case study on using district heating network flexibility for thermal load shifting |
| title_short | A case study on using district heating network flexibility for thermal load shifting |
| title_sort | case study on using district heating network flexibility for thermal load shifting |
| topic | Thermal networks flexibility Supply temperature response tests Substation response tests Experimental campaign |
| url | http://www.sciencedirect.com/science/article/pii/S2352484721008362 |
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