Albin Engholm

Greater Stockholm Metropolitan Area Kontaktinformation
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I am interested in the interactions between technology, large infrastructure systems and…

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Erfarenhet och utbildning

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Publikationer

  • Cost Analysis of Driverless Truck Operations

    Transportation Research Record

    Road freight transport is believed by many to be the first transport domain in which driverless (DL) vehicles will have a significant impact. However, in current literature almost no attention has been given to how the diffusion of DL trucks might occur and how it might affect the transport system. To make predictions on the market uptake and to model impacts of DL truck deployment, valid cost estimates of DL truck operations are crucial. In this paper, an analysis of costs and cost structures…

    Road freight transport is believed by many to be the first transport domain in which driverless (DL) vehicles will have a significant impact. However, in current literature almost no attention has been given to how the diffusion of DL trucks might occur and how it might affect the transport system. To make predictions on the market uptake and to model impacts of DL truck deployment, valid cost estimates of DL truck operations are crucial. In this paper, an analysis of costs and cost structures for DL truck operations, including indicative numerical cost estimates, is presented. The total cost of ownership for DL trucks compared with that for manually driven (MD) trucks has been analyzed for four different truck types (16-, 24-, 40-, and 64-ton trucks), for three scenarios reflecting pessimistic, intermediate, and optimistic assumptions on economic impacts of driving automation based on current literature. The results indicate that DL trucks may enable substantial cost savings compared with the MD truck baseline. In the base (intermediate) scenario, costs per 1,000 ton-kilometer decrease by 45%, 37%, 33%, and 29% for 16-, 24-, 40-, and 60-ton trucks, respectively. The findings confirm the established view in the literature that freight transport is a highly attractive area for DL vehicles because of the potential economic benefits.

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  • System-level impacts of self-driving vehicles: terminology, impact frameworks and existing literature syntheses

    Integrated Transport Research Lab

    The intention with this report is to contribute toward the development of systemic and holistic studies of impacts of self-driving vehicles. The report is targeting system-level impacts of self-driving vehicles on the transportation system but also wider societal impacts on factors such as: land-use, public health, energy and emissions, etc.

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  • Sambandsanalys av sociala konsekvenser vid utbyggnad av transportsystem: En granskning av statistisk modellering för nyttobedömning av höghastighetsjärnväg

    Uppsala University

    Master thesis in sociotechnical engineering assessing correlations between accessibility and social benefits

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  • Kärnkraft - säkerhetsrisk eller energitillgång? : Energipolitisk opinionsbildning inför folkomröstningen 1980

    Institutionen för idé och lärdomshistoria - Uppsala Universitet

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  • Life Cycle Assessment : of Solelia Greentech’s Photovoltaic Based Charging Station for Electric Vehicles

    Institutionen för teknikvetenskaper - Uppsala Universitet

    The Swedish company Solelia Greentech AB has developed a charging station forelectric vehicles based on photovoltaic electricity. This report aims to examine theenvironmental impacts of the charging station in terms of greenhouse gas emissionsand energy flows. This has been done by performing a life cycle assessment. Theresults were further investigated through a sensitivity analysis considering recyclingand production site. From these results, the charging station’s greenhouse gas andenergy…

    The Swedish company Solelia Greentech AB has developed a charging station forelectric vehicles based on photovoltaic electricity. This report aims to examine theenvironmental impacts of the charging station in terms of greenhouse gas emissionsand energy flows. This has been done by performing a life cycle assessment. Theresults were further investigated through a sensitivity analysis considering recyclingand production site. From these results, the charging station’s greenhouse gas andenergy payback times have been calculated.The report concludes that the charging station has an energy payback time of 3.5years. The greenhouse gas payback time varies from 4 to 117 years depending onassumptions about the electricity in the national electricity grid, which the electricityproduced by the charging station is calculated to substitute. The total energy infusionto the system is 9.4 MWh and the greenhouse gas emissions per delivered kWh fromone charging station during its lifetime are calculated to 0.078 kg CO2eq.

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Språk

  • Svenska

    Modersmåls- eller tvåspråkig nivå

  • Engelska

    Professionell yrkeskunskap

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