This title appears in the Scientific Report :
2018
Optimization of Urban Energy Supply Systems Considering Various Sector Coupling Options for Different Penetration Rates of Battery Electric Vehicles
Optimization of Urban Energy Supply Systems Considering Various Sector Coupling Options for Different Penetration Rates of Battery Electric Vehicles
Optimization of Urban Energy Supply Systems Considering Various Sector-Coupling Options for Different Penetration Rates of Battery Electric Vehicles Timo Kannengiesser*1, Peter Stenzel1, Peter Markewitz1, Stefan Nykamp3, Klaus Peters3, Fabian Schütz3, Martin Robinius1, Detlef Stolten1,² 1Institute...
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Personal Name(s): | Kannengiesser, Timo (Corresponding author) |
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Stenzel, Peter / Markewitz, Peter / Nykamp, Stefan / Peters, Klaus / Schütz, Fabian / Robinius, Martin / Stolten, Detlef | |
Contributing Institute: |
Technoökonomische Systemanalyse; IEK-3 |
Imprint: |
2018
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Conference: | 4th International Conference on Smart Energy Systems and 4th Generation District Heating, Aalborg (Denmark), 2018-11-13 - 2018-11-14 |
Document Type: |
Abstract |
Research Program: |
Doktorand ohne besondere Förderung Electrolysis and Hydrogen |
Publikationsportal JuSER |
Optimization of Urban Energy Supply Systems Considering Various Sector-Coupling Options for Different Penetration Rates of Battery Electric Vehicles Timo Kannengiesser*1, Peter Stenzel1, Peter Markewitz1, Stefan Nykamp3, Klaus Peters3, Fabian Schütz3, Martin Robinius1, Detlef Stolten1,² 1Institute of Electrochemical Process Engineering (IEK-3), Forschungszentrum Juelich GmbH, Wilhelm-Johnen-Str., 52428 Juelich, Germany, +49 2461 61-8732, t.kannengiesser@fz-juelich.de2 Chair of Fuel Cells, RWTH Aachen University, c/o Institute of Electrochemical Process Engineering (IEK-3), Forschungszentrum Juelich GmbH, Wilhelm-Johnen-Str., 52428 Juelich, Germany3 Westnetz GmbH, Florianstraße 15-21, 44139 Essen, GermanyKeywords: MILP, Design Optimization, Operation Optimization, Urban District Optimization, District Heating, District Cooling, Transport Demand ModelUrban districts have a high potential to reduce greenhouse gas (GHG) emissions by increasing the energy efficiency by implementation of microgrids, which include various sector-coupling options. To find a cost optimal urban energy supply system this paper analyses different scenarios and the resulting effects on energy demand, structure of power generation and transmission system as well as energy system costs. The analysis is carried out considering a specific urban district in Germany as a case study. A mixed-integer linear programming approach is used to design a cost optimal technology configuration on district level as well as a cost optimal grid configuration (district heat/ cooling) for a specific urban district. Based on the chosen technology configuration the optimal operation of generation technologies, storage technologies and energy grids is determined in the district. Furthermore, the potential of local heating and cooling in the district is analyzed related to the cost optimal results. The total energy flows are calculated in a time resolution of one hour and in a spatial resolution of 18 building nodes for one year. The total annual discounted energy system costs consist of fixed and capacity dependent investment costs and fixed and variable operating costs of the installed technologies. Furthermore, traffic demand profiles for the urban district are synthesized in a temporal resolution of one hour and the additional building specific electricity load is determined for charging electric vehicles. The integration of the battery electric vehicles is investigated scenario based. |