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Comparison of management strategies for the charging schedule and all-electric operation of a plug-in hybrid-electric bi-articulated bus fleet

Dreier, Dennis (author)
KTH,Energiteknik
Rudin, Björn (author)
Combitech AB
Howells, Mark (author)
Loughborough University and Imperial College London
 (creator_code:org_t)
2020-05-26
2020
English.
In: Public Transport. - : Springer Nature. - 1866-749X .- 1613-7159. ; 12:2, s. 363-404
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • This study developed a real-time optimisation (RTO) model that uses real-world bus operation data, i.e. route-specific and time-specific driving cycles. Potentials for energy savings and all-electric operation were estimated for a plug-in hybrid-electric bi-articulated bus fleet (PLUG scenario) that can be managed according to different management strategies. Five strategies A–E were simulated that manage the charging schedule and all-electric operation with different priorities: PLUG-A, prioritise buses for charging by arrival times at the charging station (“first come, first served”); PLUG-B, prioritise buses for charging by energy intensities of the bus routes; PLUG-C, minimise the total energy use of the bus fleet; PLUG-D, maximise the total all-electric time of the bus fleet; and PLUG-E, maximise the total all-electric distance of the bus fleet. For comparison, a business as usual (BAU) scenario with conventional buses and another scenario with hybrid-electric buses (HYB) were simulated. Two weeks of real-world bus operation data from the city of Curitiba in Brazil were used as input data. The study finds that total energy savings of 17% and 27% in the HYB and PLUG scenarios can be achieved compared to the BAU scenario, respectively. Meanwhile, the average shares of the total all-electric time (TAET) and total all-electric distance (TAED) to the total bus fleet operation amount to 20% and 14% in the HYB scenario. Furthermore, both TAET and TAED in the PLUG scenario depend strongly on the chosen strategy amounting to ranges of 21–64% and 17–61%, respectively. Simultaneous maxima were found for strategy D.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Naturresursteknik -- Energisystem (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Environmental Engineering -- Energy Systems (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Samhällsbyggnadsteknik -- Transportteknik och logistik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Civil Engineering -- Transport Systems and Logistics (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Maskinteknik -- Energiteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Mechanical Engineering -- Energy Engineering (hsv//eng)

Keyword

Bus
Driving cycle
Energy
Operations research
Optimization
Simulation
Energiteknik
Energy Technology
Transportsystem
Transport Systems
Optimeringslära och systemteori
Optimization and Systems Theory

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ref (subject category)
art (subject category)

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By the author/editor
Dreier, Dennis
Rudin, Björn
Howells, Mark
About the subject
ENGINEERING AND TECHNOLOGY
ENGINEERING AND ...
and Environmental En ...
and Energy Systems
ENGINEERING AND TECHNOLOGY
ENGINEERING AND ...
and Civil Engineerin ...
and Transport System ...
ENGINEERING AND TECHNOLOGY
ENGINEERING AND ...
and Mechanical Engin ...
and Energy Engineeri ...
Articles in the publication
Public Transport
By the university
Royal Institute of Technology

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