Roth, Maximilian ; Franke, Georg ; Rinderknecht, Stephan (2022)
Decentralised multi-grid coupling for energy supply of a hybrid bus depot using mixed-integer linear programming.
In: Smart Energy, 8
doi: 10.1016/j.segy.2022.100090
Article, Bibliographie
Abstract
The present work refers to two current problems in the context of achieving Greenhouse gas (GHG) neutrality: first the curtailment of renewable, volatile power generation units and secondly the high share of the mobility domain in total GHG-emissions. Both problems can be countered by a decentralised, smart energy system that supplies electricity, gas and heat to a hybrid public transport bus fleet and is simultaneously coupled to the public gas grid, public electricity grid and the district heating grid (Multi-Grid-Coupling). The enabling energy conversion unit is a reversible solid oxide cell (rSOC), which is operated in combined heat and power (CHP) mode or in power-to-gas (P2G) mode. P2G is primarily a solution approach for the first-mentioned problem and can thus successively lead to the replacement of fossil energy sources. Furthermore, by integrating industrial waste gases – as a necessary CO2 source for the P2G process – an additional benefit is gained from the CO2 that is emitted anyhow. The hybrid bus fleet constitutes an ecological alternative concept in public transport and therefore addresses the second-mentioned problem. The system, developed under the current state of the art technologies and the current ecological and economic conditions for Europe and Germany, can be operated profitably from the perspective of the system operator. This applies to the economically and ecologically optimised operating schedule of the controllable system elements such as the electrical, thermal and compressed gas storages, rSOC, compressor and the energy exchange with the public grids. To derive the optimal operating schedule of the cross-sectoral system, a mixed-integer linear programming (MILP) model is implemented and simulated under the current legal situation.
Item Type: | Article |
---|---|
Erschienen: | 2022 |
Creators: | Roth, Maximilian ; Franke, Georg ; Rinderknecht, Stephan |
Type of entry: | Bibliographie |
Title: | Decentralised multi-grid coupling for energy supply of a hybrid bus depot using mixed-integer linear programming |
Language: | English |
Date: | 25 November 2022 |
Publisher: | Elsevier |
Journal or Publication Title: | Smart Energy |
Volume of the journal: | 8 |
DOI: | 10.1016/j.segy.2022.100090 |
URL / URN: | https://www.sciencedirect.com/science/article/pii/S266695522... |
Abstract: | The present work refers to two current problems in the context of achieving Greenhouse gas (GHG) neutrality: first the curtailment of renewable, volatile power generation units and secondly the high share of the mobility domain in total GHG-emissions. Both problems can be countered by a decentralised, smart energy system that supplies electricity, gas and heat to a hybrid public transport bus fleet and is simultaneously coupled to the public gas grid, public electricity grid and the district heating grid (Multi-Grid-Coupling). The enabling energy conversion unit is a reversible solid oxide cell (rSOC), which is operated in combined heat and power (CHP) mode or in power-to-gas (P2G) mode. P2G is primarily a solution approach for the first-mentioned problem and can thus successively lead to the replacement of fossil energy sources. Furthermore, by integrating industrial waste gases – as a necessary CO2 source for the P2G process – an additional benefit is gained from the CO2 that is emitted anyhow. The hybrid bus fleet constitutes an ecological alternative concept in public transport and therefore addresses the second-mentioned problem. The system, developed under the current state of the art technologies and the current ecological and economic conditions for Europe and Germany, can be operated profitably from the perspective of the system operator. This applies to the economically and ecologically optimised operating schedule of the controllable system elements such as the electrical, thermal and compressed gas storages, rSOC, compressor and the energy exchange with the public grids. To derive the optimal operating schedule of the cross-sectoral system, a mixed-integer linear programming (MILP) model is implemented and simulated under the current legal situation. |
Uncontrolled Keywords: | Microgrid scheduling, Mixed-integer linear programming, Reversible solid oxide cell, Power-to-Gas, Combined heat and power Optimisation Operation strategy Clean vehicles directive Renewable energy directive II Sector-coupling Smart energy system Multi-grid-coupling |
Additional Information: | Artikel-ID: 100090 |
Divisions: | 16 Department of Mechanical Engineering 16 Department of Mechanical Engineering > Institute for Mechatronic Systems in Mechanical Engineering (IMS) |
Date Deposited: | 26 Oct 2022 06:39 |
Last Modified: | 26 Oct 2022 07:05 |
PPN: | 50077160X |
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