Realistic modeling of a combined heat and power plant in the context of mixed integer linear programming
Abstract In addition to renewable energy sources, the transition of the German energy system will increasingly involve the use of decentralized combined heat and power plants (CHP). In order to use this promising technology cost-optimally, modeling approaches must be developed that enable optimizati...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2018-10-01
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| Series: | Energy Informatics |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s42162-018-0037-z |
| _version_ | 1818174230529835008 |
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| author | Thomas Weber Nina Strobel Thomas Kohne Jakob Wolber Eberhard Abele |
| author_facet | Thomas Weber Nina Strobel Thomas Kohne Jakob Wolber Eberhard Abele |
| author_sort | Thomas Weber |
| collection | DOAJ |
| description | Abstract In addition to renewable energy sources, the transition of the German energy system will increasingly involve the use of decentralized combined heat and power plants (CHP). In order to use this promising technology cost-optimally, modeling approaches must be developed that enable optimization of the systems. Mixed integer linear programming (MILP) is a powerful tool for solving mathematical optimization problems. However, to reduce the computing time the model formulation requires compelling simplifications in relation to reality. The aim of this paper is to present a modeling approach for a combined heat and power plant that depicts dynamic power changes more accurately than existing approaches. Power gradients are mapped by differentiating between the control signal of the CHP unit and the actually generated power output for thermal and electrical power. Finally, the accuracy of the modeling approach is examined in a field test and evaluated according to the accuracy achieved. |
| first_indexed | 2024-12-11T19:41:06Z |
| format | Article |
| id | doaj.art-adcbb724955b4d63807fd22fd5ef1b78 |
| institution | Directory Open Access Journal |
| issn | 2520-8942 |
| language | English |
| last_indexed | 2024-12-11T19:41:06Z |
| publishDate | 2018-10-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Energy Informatics |
| spelling | doaj.art-adcbb724955b4d63807fd22fd5ef1b782022-12-22T00:53:01ZengSpringerOpenEnergy Informatics2520-89422018-10-011S128529310.1186/s42162-018-0037-zRealistic modeling of a combined heat and power plant in the context of mixed integer linear programmingThomas Weber0Nina Strobel1Thomas Kohne2Jakob Wolber3Eberhard Abele4Institut für Produktionsmanagement, Technologie und Werkzeugmaschinen, TU DarmstadtInstitut für Produktionsmanagement, Technologie und Werkzeugmaschinen, TU DarmstadtInstitut für Produktionsmanagement, Technologie und Werkzeugmaschinen, TU DarmstadtInstitut für Produktionsmanagement, Technologie und Werkzeugmaschinen, TU DarmstadtInstitut für Produktionsmanagement, Technologie und Werkzeugmaschinen, TU DarmstadtAbstract In addition to renewable energy sources, the transition of the German energy system will increasingly involve the use of decentralized combined heat and power plants (CHP). In order to use this promising technology cost-optimally, modeling approaches must be developed that enable optimization of the systems. Mixed integer linear programming (MILP) is a powerful tool for solving mathematical optimization problems. However, to reduce the computing time the model formulation requires compelling simplifications in relation to reality. The aim of this paper is to present a modeling approach for a combined heat and power plant that depicts dynamic power changes more accurately than existing approaches. Power gradients are mapped by differentiating between the control signal of the CHP unit and the actually generated power output for thermal and electrical power. Finally, the accuracy of the modeling approach is examined in a field test and evaluated according to the accuracy achieved.http://link.springer.com/article/10.1186/s42162-018-0037-zCHPMILPValidation |
| spellingShingle | Thomas Weber Nina Strobel Thomas Kohne Jakob Wolber Eberhard Abele Realistic modeling of a combined heat and power plant in the context of mixed integer linear programming Energy Informatics CHP MILP Validation |
| title | Realistic modeling of a combined heat and power plant in the context of mixed integer linear programming |
| title_full | Realistic modeling of a combined heat and power plant in the context of mixed integer linear programming |
| title_fullStr | Realistic modeling of a combined heat and power plant in the context of mixed integer linear programming |
| title_full_unstemmed | Realistic modeling of a combined heat and power plant in the context of mixed integer linear programming |
| title_short | Realistic modeling of a combined heat and power plant in the context of mixed integer linear programming |
| title_sort | realistic modeling of a combined heat and power plant in the context of mixed integer linear programming |
| topic | CHP MILP Validation |
| url | http://link.springer.com/article/10.1186/s42162-018-0037-z |
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