Modelling the Electrification of Bus Depots using Real Data: Consequences for the Distribution Grid and Operational Requirements
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1 Modelling the Electrification of Bus Depots using Real Data: Consequences for the Distribution Grid and Operational Requirements E-Mobility Power System Integration Symposium Berlin, October 23 rd 2017
2 Outline Background and Motivation Modelling Results Conclusion and Outlook
3 Outline Background and Motivation Modelling Results Conclusion and Outlook
4 Key Figures HOCHBAHN Bus-System Infrastructure 928 km route network 1,300 stops Vehicle fleet Approx. 910 busses and 8 bus depots 3.8 billion capacity km Passengers 212 million passengers* 660 million passenger km * in 2015 HOCHBAHN 12. November 2017 Folie 4
5 Eight Bus Depots in Hamburg Host up to 950 Buses BBD 220 buses BBL 153 buses BBW 137 buses BBB 127 buses BBG 104 buses BBH 82 buses BBT 47 buses BBR 40 buses
6 Transformation Process from Diesel to Fully Electric Bus Fleet Climate Protection Clean Air Sustainable Mobility From 2020: only local emission-free buses must be purchased in Hamburg Scaling, providing and testing the required electrical infrastructure
7 Eight Bus Depots in Hamburg Host up to 950 Buses BBD 220 buses 33 MW BBL 153 buses 23 MW BBW 137 buses 21 MW BBB 127 buses 19 MW BBG 104 buses 16 MW BBH 82 buses 12 MW BBT 47 buses 7 MW BBR 40 buses 6 MW 150 kw charging power for each bus 10 kv power limitation of 14 MW
8 Outline Background and Motivation Modelling Results Conclusion and Outlook
9 Modelling vehicles (3 types, energy consumption, pre-conditioning, heating, temperature) standard articulated double articulated bus services (start, end, vehicle type) 06:35 18:23 scheduling (which bus for which service?) charging (150 kw, efficiency η, immediate, continuous) = 3~
10 Agenda Background and Motivation Modelling Results Conclusion and Outlook
11 Yearly Energy Consumption of HOCHBAHN Bus Depots 132 GWh (approx. energy demand of the metro in Hamburg) Temperature sensitivity: +5 C -9 GWh
12 Weekly Load Profile at BBL: Heating vs. No Heating Peak demand grid connection Peak demand in early morning hours (6 am) due to pre-conditioning Additional charging windows during mid-day Peak demand is the relevant parameter for distribution grid system operators
13 Required Grid Connection for the HOCHBAHN Bus Depots Bus Depot Buses First Guess Peak Load Simult. BBD MW 15.1 MW 0.46 BBL MW 11.0 MW 0.48 BBW MW 10.4 MW 0.51 BBB MW 9.3 MW 0.49 BBG MW 7.3 MW 0.47 BBH MW 5.5 MW 0.45 BBT 47 7 MW 4.4 MW 0.63 BBR 40 6 MW 3.2 MW 0.53 Based on real load profiles, the grid connection can be calculated Grid connection for future bus depots can be estimated with this method
14 Weekly Load Profile at BBL: Immediate vs. Continuous Charging Continuous charging of the buses leads to an increase peak demand
15 Weekly Load Profile at BBH: Charging Power Evaluation 150 kw charging power might not be sufficient for all types of buses
16 Evaluation of Vehicle Availability standing time of buses is reduced by 30%... 70% What service tasks can be done during charging process?
17 Outline Background and Motivation Modelling Results Conclusion and Outlook
18 Conclusion and Outlook Yearly energy demand of the HOCHBAHN bus fleet: 132 GWh ( metro) Peak power demand for all bus depots have been identified: 3.2 MW MW Immediate charging might result in a lower peak load than continuous charging 150 kw could not be enough for articulated buses with long services Standing time of buses is reduced by 30%... 70% The options are manifold: Change length and structure of services, move services or buses from one depot to another, use H 2, opportunity charging, load management,... Highly complex problem asking for an individual solution! Project Report: Anforderungen an das Stromnetz durch Elektromobilität, insbesondere Elektrobusse, in Hamburg (Metastudie Elektromobilität)
19 Thank you very much for your attention! Markus Dietmannsberger, M.Sc. Hamburg HOCHBAHN AG Department of Electric Buses System Design Tel.: Markus +49 Dietmannsberger, (0) M.Sc Slide Nr.
Modelling the Electrification of Bus Depots using Real Data: Consequences for the Distribution Grid and Operational Requirements
Modelling the Electrification of Bus Depots using Real Data: Consequences for the Distribution Grid and Operational Requirements Markus Dietmannsberger Hamburg Hochbahn AG Hamburg, Germany markus.dietmannsberger@hochbahn.de
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