Multi-level perspective for the development and diffusion of fuel cell heavy-duty trucks

Küffner, Christoph

doi:10.1016/j.trd.2022.103460

Cited by 14 publications

(2 citation statements)

References 52 publications

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“…However, these directives are still under discussion since several EU Countries are concerned that this pathway is not at all the most efficient and sustainable for the road to the full decarbonisation. In fact, cutting-edge solutions for the progress towards a green mobility not only include electric road transport [9], but also hydrogen vehicles [10] and vehicles fuelled with compressed natural gas (CNG) and liquefied natural gas (LNG), even produced starting from biomass, respectively named bio-CNG and bio-LNG. In fact, the scientific literature shows an increasing number of studies involving produced emission analyses and economic feasibility of these solutions compared to Diesel fuelled heavy trucks [11].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Analysis of a Power Plant Producing Liquefied Biomethane for Heavy Road Transport

Cimmino

Calise

Cappiello

et al. 2023

36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 20

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In the recent years, European Countries are paying more and more attention to the issue of greenhouse gases emissions due to the road transport sector. In particular, the fuel consumption due to the heavy road transport is one of the most relevant issues both for the weight and the long distances that they cover. In addition, the cost of the natural gas dramatically increased in many European countries due to recent international crisis. Thus, finding alternative ways of producing natural gas from renewable sources would be of great economic and environmental impact for the current global asset. In this work, a dynamic thermoeconomic analysis of a plant producing bio liquefied natural gas (bio-LNG), driven by renewable sources, to meet the fuel demand of a fleet of heavy trucks is proposed. The plant consists of a plug flow reactor digesting the organic fraction of municipal solid wastes in mesophilic conditions. The biogas upgrading model and the biomethane liquefaction models are in detail developed in MATLAB. The whole system is integrated in TRNSYS for dynamic simulation purpose. Then, the bio-LNG is used to meet the fuel demand of heavy trucks which cover relevant distances all over the region of Campania, in the South of Italy. The environmental impact related to the avoided emissions due to the use of bio-LNG is analysed together with the economic feasibility of the proposed system. The results of the thermoeconomic simulation show that the system has high capital costs, close to 85 M€ despite the fundings granted for bioLNG trucks purchasing. However, the fundings for the biomethane production and selling are enough to guarantee a remarkable economic feasibility with a Simple Payback period of less than 2 years and a Net Present Value of 402 M€. Furthermore, the solution proposed is effective for the pathway of the green mobility, with a Primary Energy Saving of 91% and a reduction of CO2 emissions by 86%.

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Section: Introductionmentioning

confidence: 99%

Dynamic Analysis of a Power Plant Producing Liquefied Biomethane for Heavy Road Transport

Cimmino

Calise

Cappiello

et al. 2023

36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 20

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“…The truck owner must decide whether to invest the vehicles in a specific location based on the contracts TSE concept or to pool the trucks as in the traditional approach based on profitability and other factors (Islam et al, 2019). It is difficult for the owner or regulator of trucks based on the sharing economy concept to analyze such concerns holistically without a rigorous approach and preliminary environmental observation research (Küffner, 2022).…”

Section: Introductionmentioning

confidence: 99%

Trucks Pooling and Allocation in TSE Concept Using GIS Spatial and Novel FFOA

Siahaan¹,

Simatupang

Okdinawati

et al. 2022

ijjm

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Strategic system logistics business entails the importance of regulating truck pooling facilities and allocating the trucks for cost optimization goals. Regulators and investors must consider spatial constraints such as the supply-demand gap and service distance. Little attention has been paid to developing decision logistics models, particularly truck pooling and allocation decisions. In this study, the FFOA and GIS were used to determine the spatial component of truck pooling decisions, providing a scenario for origin pooling and delivery distance. The model evaluates truck allocation to each city, a distance vector, a spatial factor, and city demand are used for the cost optimization goal. The results show that the FFOA model successfully defines the optimal truck allocation for each truck pooling site with a cost. The managerial implication in developing a sharing economy concept for truck logistics is to use the study's framework model result to solve challenges in truck logistics.

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Zero-Emission Heavy-Duty Trucks in Logistics: A Systematic Review and Analysis of Relevant Adoption Parameters

Roman,

Zadek

2024

Lecture Notes in Networks and Systems

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Multi-level perspective for the development and diffusion of fuel cell heavy-duty trucks

Cited by 14 publications

References 52 publications

Dynamic Analysis of a Power Plant Producing Liquefied Biomethane for Heavy Road Transport

Dynamic Analysis of a Power Plant Producing Liquefied Biomethane for Heavy Road Transport

Trucks Pooling and Allocation in TSE Concept Using GIS Spatial and Novel FFOA

Zero-Emission Heavy-Duty Trucks in Logistics: A Systematic Review and Analysis of Relevant Adoption Parameters

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