Submit to Energies Review for Energies Propose a Special Issue

Journal Browser

► Journal Browser

Clean Energy for Sustainable Transportation

Print Special Issue Flyer
Special Issue Editors
Special Issue Information
Keywords
Published Papers

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "B2: Clean Energy".

Deadline for manuscript submissions: closed (28 February 2022) | Viewed by 13958

Share This Special Issue

Special Issue Editor

Dr. Rosa Dominguez-Faus

E-Mail Website
Guest Editor

Institute of Transportation Studies, University of California Davis, 95616 Davis, CA, USA
Interests: life cycle assessment; energy policy; fuel research; natural gas and hydraulic fracturing; transportation fuels and fueling infrastructure; methane leakage from natural gas systems; energy sustainability; LCA methodologies for carbon and water footprinting; water-energy nexus; water-energy-climate nexus

Special Issue Information

Dear Colleagues,

I would like to invite to submit to your papers to this special issue on Clean Transportation Technologies by MPDI’s Energies journal. As you know, transportation accounts for more than 14 % of global greenhouse gas emissions, and more than 28% in some regions like the US and the EU. The transportation sector has proven extremely hard to decarbonize. Multiple alternative fuels have been proposed and tried, some more successful than others, yet emissions keep increasing due limited success of fuel and technology transitions and a relentless growth in transportation demand. In this special issue, we are looking for papers that can provide a perspective on new alternative fuels and associated vehicle technologies, how feasible they are, what are the costs of energy transitions, what are the hurdles, how is the market developing, and how much they are contributing to reducing emissions, and what would it take for mass adoption in different contexts. We are looking for research on fuels for passenger vehicles (the largest emission contributing sector) but also other transportation segments such as buses and medium and heavy-duty trucks. We are also interested in the impact on transportation demand, energy demand and emissions due to the more recent technology innovations such as automation and ridehailing. Energy carriers of interest include hydrogen, electricity, advanced biofuels, natural gas and renewable natural gas, among others. We are interested in the circularity of fuel production, impacts of mineral sourcing, supply chain waste management, batteries and metal recyclability, potential for efficiency gains, and emissions saving potential.

We look forward to receiving your manuscript.

Dr. Rosa Dominguez-Faus
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

Feasibility Studies
Transportation energy demand
Automation
Emissions
Hydrogen
Electricity
Electromobility
Hydrogen
FCVs
Natural Gas
Renewable Natural Gas
Battery materials
Efficiency
Life Cycle Assessment
Technoeconomic Assessment
Sensitivity Analysis
Systems Thinking

Published Papers (5 papers)

Download All Papers

Research

27 pages, 7463 KiB

Open AccessArticle

Supraharmonic and Harmonic Emissions of a Bi-Directional V2G Electric Vehicle Charging Station and Their Impact to the Grid Impedance

by Bernhard Grasel, José Baptista and Manfred Tragner

Energies 2022, 15(8), 2920; https://0-doi-org.brum.beds.ac.uk/10.3390/en15082920 - 15 Apr 2022

Cited by 21 | Viewed by 2692

Abstract

Bidirectional electric vehicle supply equipment and charging stations (EVSE) offer new business models and can provide services to the electrical grid. The smart grid lab in Vienna gives unique testing possibilities of future smart grids, as different type of electrical equipment can be operated at a reconstructed, well-known distribution grid. In this work the harmonic and supraharmonic emissions of a bidirectional EVSE are measured according to IEC61000-4-7 and IEC61000-4-30 Ed3 standard as well as the high-frequency grid impedance. In addition, the efficiency and the power factor are determined at various operating points. Although THD_i at nominal power (10 kW) is very low and the efficiency and power factor is very high, at low power levels the opposite situation arise. Supraharmonic emissions remain stable independent of the charging/discharging power, and both wideband and narrowband emissions occur. The additional capacitance when connecting the EVSE impacts the high-frequency grid impedance substantially and generates resonance points. Full article

(This article belongs to the Special Issue Clean Energy for Sustainable Transportation)

► Show Figures

Figure 1

31 pages, 9220 KiB

Open AccessArticle

Feasibility Investigation of Hydrogen Refuelling Infrastructure for Heavy-Duty Vehicles in Canada

by Wahiba Yaïci and Michela Longo

Energies 2022, 15(8), 2848; https://0-doi-org.brum.beds.ac.uk/10.3390/en15082848 - 13 Apr 2022

Cited by 9 | Viewed by 2341

Abstract

A potentially viable solution to the problem of greenhouse gas emissions by vehicles in the transportation sector is the deployment of hydrogen as alternative fuel. A limitation to the diffusion of the hydrogen-fuelled vehicles option is the intricate refuelling stations that vehicles will require. This study examines the practical use of hydrogen fuel within the internal combustion engine (ICE)-powered long-haul, heavy-duty trucking vehicles. Specifically, it appraises the techno-economic feasibility of constructing a network of long-haul truck refuelling stations using hydrogen fuel, across Canada. Hydrogen fuel is chosen as an option for this study due to its low carbon emissions rate compared to diesel. This study also explores various operational methods, including variable technology integration levels and truck traffic flows, truck and pipeline delivery of hydrogen to stations, and the possibility of producing hydrogen onsite. The proposed models created for this work suggest important parameters for economic development, such as capital costs for station construction, the selling price of fuel, and the total investment cost for the infrastructure of a nation-wide refuelling station. Results showed that the selling price of hydrogen gas pipeline delivery option is more economically stable. Specifically, it was found that at 100% technology integration, the range in selling prices was between 8.3 and 25.1 CAD$/kg. Alternatively, at 10% technology integration, the range was from 12.7 to 34.1 CAD$/kg. Moreover, liquid hydrogen, which is delivered by trucks, generally had the highest selling price due to its very prohibitive storage costs. However, truck-delivered hydrogen stations provided the lowest total investment cost; the highest is shown by pipe-delivered hydrogen and onsite hydrogen production processes using high technology integration methods. It is worth mentioning that once hydrogen technology is more developed and deployed, the refuelling infrastructure cost is likely to decrease considerably. It is expected that the techno-economic model developed in this work will be useful to design and optimize new and more efficient hydrogen refuelling stations for any ICE vehicles or fuel cell vehicles. Full article

(This article belongs to the Special Issue Clean Energy for Sustainable Transportation)

► Show Figures

Figure 1

27 pages, 6747 KiB

Open AccessArticle

Modeling and On-Road Testing of an Electric Two-Wheeler towards Range Prediction and BMS Integration

by Alessandro Falai, Tiziano Alberto Giuliacci, Daniela Misul, Giacomo Paolieri and Pier Giuseppe Anselma

Energies 2022, 15(7), 2431; https://0-doi-org.brum.beds.ac.uk/10.3390/en15072431 - 25 Mar 2022

Cited by 7 | Viewed by 2672

Abstract

The automotive sector is currently shifting its focus from traditional fossil fuels to electrification. The deployment of a Battery Management System (BMS) unit is the key point to oversee the battery state of the electric vehicle (EV) to ensure safety and performances. The development and assessment of electric vehicle models in turn lays the groundwork of the BMS design as it provides a quick and cheap solution to test battery optimal control logics in a Software-in-the-Loop environment. Despite the various contribution to the literature in battery and vehicle modeling, electric scooters are mostly disregarded together with a reliable estimation of their performance and electric range. The present paper hence aims at filling the gap of knowledge through the development of a numerical model for considering a two-wheeler. The latter model relies on the conservation energy based-longitudinal dynamic approach and is coupled to a Li-Ion Battery second-order RC equivalent circuit model for the electric range prediction. More specifically, the presented work assesses the performance and electric range of a two-wheeler pure electric scooter in a real-world driving cycle. The e-powertrain system embeds an Electrical Energy Storage System (EESS) Li-Ion Battery pack. On-road tests were initially conducted to retrieve the main model parameters and to perform its validation. A global battery-to-wheels efficiency was also calibrated to account for the percentual amount of available net power for the vehicle onset. The model proved to properly match the experimental data in terms of total distance traveled over a validation driving mission. Full article

(This article belongs to the Special Issue Clean Energy for Sustainable Transportation)

► Show Figures

Figure 1

25 pages, 4725 KiB

Open AccessArticle

Dynamic Programming Based Rapid Energy Management of Hybrid Electric Vehicles with Constraints on Smooth Driving, Battery State-of-Charge and Battery State-of-Health

by Pier Giuseppe Anselma

Energies 2022, 15(5), 1665; https://0-doi-org.brum.beds.ac.uk/10.3390/en15051665 - 23 Feb 2022

Cited by 7 | Viewed by 1927

Abstract

Dynamic programming (DP) is currently the reference optimal energy management approach for hybrid electric vehicles (HEVs). However, several research concerns arise regarding the effective application of DP for optimal HEV control problems which involve a significant number of control variables, state variables and optimization constraints. This paper deals with an optimal control problem for a full parallel P2 HEV with constraints on battery state-of-charge (SOC), battery lifetime in terms of state-of-health (SOH), and smooth driving in terms of the frequencies of internal combustion engine (ICE) activations and gear shifts over time. The DP formulation for the considered HEV control problem is outlined, yet its practical application is demonstrated as unfeasible due to a lack of computational power and memory in current desktop computers. To overcome this drawback, a computationally efficient version of DP is proposed which is named Slope-weighted Rapid Dynamic Programming (SRDP). Computational advantage is achieved by SRDP in considering only the most efficient HEV powertrain operating points rather than the full set of control variable values at each time instant of the drive cycle. A benchmark study simulating various drive cycles demonstrates that the introduced SRDP can achieve compliance with imposed control constraints on battery SOC, battery SOH and smooth driving. At the same time, SRDP can achieve up to 78% computational time saving compared with a baseline DP approach considering the Worldwide Harmonized Light Vehicle Test Procedure (WLTP). On the other hand, the increase in the fuel consumption estimated by SRDP is limited within 3.3% compared with the baseline DP approach if the US06 Supplemental Federal Test Procedure is considered. SRDP could thus be exploited to efficiently explore the large design space associated to HEV powertrains. Full article

(This article belongs to the Special Issue Clean Energy for Sustainable Transportation)

► Show Figures

Graphical abstract

27 pages, 10230 KiB

Open AccessArticle

Low Carbon Scenario Analysis of a Hydrogen-Based Energy Transition for On-Road Transportation in California

by Vishnu Vijayakumar, Alan Jenn and Lewis Fulton

Energies 2021, 14(21), 7163; https://0-doi-org.brum.beds.ac.uk/10.3390/en14217163 - 01 Nov 2021

Cited by 14 | Viewed by 3386

Abstract

Fuel cell electric vehicles (FCEV) are emerging as one of the prominent zero emission vehicle technologies. This study follows a deterministic modeling approach to project two scenarios of FCEV adoption and the resulting hydrogen demand (low and high) up to 2050 in California, using a transportation transition model. The study then estimates the number of hydrogen production and refueling facilities required to meet demand. The impact of system scale-up and learning rates on hydrogen price is evaluated using standalone supply chain models: H2A, HDSAM, HRSAM and HDRSAM. A sensitivity analysis explores key factors that affect hydrogen prices. In the high scenario, light and heavy-duty fuel cell vehicle stocks reach 12.5 million and 1 million by 2050, respectively. The resulting annual hydrogen demand is 3.9 billion kg, making hydrogen the dominant transportation fuel. Satisfying such high future demands will require rapid increases in infrastructure investments starting now, but especially after 2030 when there is an exponential increase in the number of production plants and refueling stations. In the long term, electrolytic hydrogen delivered using dedicated hydrogen pipelines to larger stations offers substantial cost savings. Feedstock prices, size of the hydrogen market and station utilization are the prominent parameters that affect hydrogen price. Full article

(This article belongs to the Special Issue Clean Energy for Sustainable Transportation)

► Show Figures

Figure 1

Journal Menu

Journal Browser

Clean Energy for Sustainable Transportation

Share This Special Issue

Special Issue Editor

Special Issue Information

Keywords

Published Papers (5 papers)

Research

Further Information

Guidelines

MDPI Initiatives

Follow MDPI