Heat demand model for district heating simulation
Demand for affordable and sustainable energy is growing. Even though the technology of construction and insulation of buildings is continuously improving, heating is still a significant issue for large part of Europe. Building modern heating systems as well as upgrading existing ones requires incorp...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2018-01-01
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| Series: | MATEC Web of Conferences |
| Online Access: | https://doi.org/10.1051/matecconf/201821002044 |
| _version_ | 1818460093757259776 |
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| author | Dolinay Viliam Vasek Lubomir Novak Jakub Chalupa Petr Kral Erik |
| author_facet | Dolinay Viliam Vasek Lubomir Novak Jakub Chalupa Petr Kral Erik |
| author_sort | Dolinay Viliam |
| collection | DOAJ |
| description | Demand for affordable and sustainable energy is growing. Even though the technology of construction and insulation of buildings is continuously improving, heating is still a significant issue for large part of Europe. Building modern heating systems as well as upgrading existing ones requires incorporating new technology and smart control systems with sophisticated control algorithms. An essential part of the control systems are models that allow the simulation to verify proposed actions or use series of simulation experiments to find the optimal solution. Several simulation tools are specializing in the field of energy already, and some general tools can also be used. This article shows two methods of own prediction mechanism of the heat demand of individual consumers (buildings). Modelling of individual buildings is the basis of the simulation model of district heating which is being developed. The fundamental idea is to build a modular model for specific district heating and start from the endpoints - from the individual consumption objects that will be interconnected through the distribution model with other parts of district heating system such as other consumers and producers. It is assumed that the heat demand is the most challenging part of the prediction, and therefore the accuracy and quality of these models will be the most significant to the accuracy of the entire future result. |
| first_indexed | 2024-12-14T23:24:46Z |
| format | Article |
| id | doaj.art-57a5baec54464fb5bce071052885b8d9 |
| institution | Directory Open Access Journal |
| issn | 2261-236X |
| language | English |
| last_indexed | 2024-12-14T23:24:46Z |
| publishDate | 2018-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | MATEC Web of Conferences |
| spelling | doaj.art-57a5baec54464fb5bce071052885b8d92022-12-21T22:43:51ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-012100204410.1051/matecconf/201821002044matecconf_cscc2018_02044Heat demand model for district heating simulationDolinay ViliamVasek LubomirNovak JakubChalupa PetrKral ErikDemand for affordable and sustainable energy is growing. Even though the technology of construction and insulation of buildings is continuously improving, heating is still a significant issue for large part of Europe. Building modern heating systems as well as upgrading existing ones requires incorporating new technology and smart control systems with sophisticated control algorithms. An essential part of the control systems are models that allow the simulation to verify proposed actions or use series of simulation experiments to find the optimal solution. Several simulation tools are specializing in the field of energy already, and some general tools can also be used. This article shows two methods of own prediction mechanism of the heat demand of individual consumers (buildings). Modelling of individual buildings is the basis of the simulation model of district heating which is being developed. The fundamental idea is to build a modular model for specific district heating and start from the endpoints - from the individual consumption objects that will be interconnected through the distribution model with other parts of district heating system such as other consumers and producers. It is assumed that the heat demand is the most challenging part of the prediction, and therefore the accuracy and quality of these models will be the most significant to the accuracy of the entire future result.https://doi.org/10.1051/matecconf/201821002044 |
| spellingShingle | Dolinay Viliam Vasek Lubomir Novak Jakub Chalupa Petr Kral Erik Heat demand model for district heating simulation MATEC Web of Conferences |
| title | Heat demand model for district heating simulation |
| title_full | Heat demand model for district heating simulation |
| title_fullStr | Heat demand model for district heating simulation |
| title_full_unstemmed | Heat demand model for district heating simulation |
| title_short | Heat demand model for district heating simulation |
| title_sort | heat demand model for district heating simulation |
| url | https://doi.org/10.1051/matecconf/201821002044 |
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