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Energy, Sustainable Transport and Electric Vehicles
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Energy, Sustainable Transport and Electric Vehicles

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 5179

Special Issue Editor

Dr. M. Hasanuzzaman

E-Mail Website
Guest Editor
Higher Institution Centre of Excellence (HICoE), UM Power Energy Dedicated Advanced Centre (UMPEDAC), Level-4, Wisma R&D, University of Malaya, Jalan Pantai Baharu, Kuala Lumpur 59990, Malaysia
Interests: energy technologies and conversion; energy and sustainability; sustainable energy systems; renewable energies; energy policy; energy conservation and management; energy and buildings; energy and transport; smart transport and electric vehicles
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Energy and transportation systems are the driving force of modernization and economic development in the modern world. The world still highly depends on fossil fuels that have a negative impact on the environment for energy, though the global power industry is gradually shifting from traditional nonrenewable to sustainable energy sources to maintain a friendly and long-lasting global climate. Due to economic development and modernization, vehicles are becoming increasingly prevalent in the global transportation sector, which generates around 24% of the world’s CO2 emissions. These emissions are much higher for industrially rich cities. Replacing traditional internal combustion engines with electrical-battery-driven vehicles has thus attracted much attention from around the world as a way to curtail emissions and air pollutants. Electric vehicles are gaining increasing interest from the public. However, the awareness and sales of electric vehicles are still low due to the challenges associated with their cost, travel demand, charging station availability, impact on the power grid, battery capacity, awareness, culture, etc. Many initiatives and innovations have emerged to solve such challenges as well as to ensure a sustainable energy supply, smart transport and electric vehicles. Against this background, this Special Issue will investigate the current challenges and goals in the electric vehicle sector, including potential energy technologies, energy efficiency, energy storage, batteries technologies, battery thermal management, costs–benefits, life cycle assessment and related policies. Relevant areas include, but are not limited to, the following:

  • Sustainable transport systems;
  • Energy and transportation;
  • Smart transport;
  • Electric vehicles;
  • Energy storage;
  • Battery technologies;
  • Thermal management of batteries;
  • Battery cooling;
  • Sustainable energy systems;
  • Clean energy technologies;
  • Energy efficiency;
  • Energy policies;
  • Total cost of ownership;
  • Life cycle assessments.

Dr. Md. Hasanuzzaman
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. Sustainability 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 2400 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

  • sustainable transport systems
  • energy and transportation
  • smart transport
  • electric vehicles
  • energy storage
  • battery technologies
  • thermal management of batteries
  • battery cooling
  • energy efficiency
  • energy policies
  • total cost of ownership
  • life cycle assessments

Published Papers (3 papers)

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Research

23 pages, 6096 KiB  
Article
Congestion Relief Services by Vehicle-to-Grid Enabled Electric Vehicles Considering Battery Degradation
by Shashank Narayana Gowda, Hamidreza Nazaripouya and Rajit Gadh
Sustainability 2023, 15(24), 16733; https://doi.org/10.3390/su152416733 - 11 Dec 2023
Cited by 1 | Viewed by 1101
Abstract
Battery electric vehicles (BEVs) offer substantial potential to enhance the electric grid through bi-directional charging technologies. In essence, BEVs, functioning as portable battery energy storage systems, play a pivotal role in enabling the seamless integration of renewable energy, grid optimization, and ancillary services. [...] Read more.
Battery electric vehicles (BEVs) offer substantial potential to enhance the electric grid through bi-directional charging technologies. In essence, BEVs, functioning as portable battery energy storage systems, play a pivotal role in enabling the seamless integration of renewable energy, grid optimization, and ancillary services. This article sets out to explore the value of BEVs equipped with Vehicle-to-Grid (V2G) for grid operators, particularly in the context of alleviating congestion. This valuable service, though not accompanied by direct monetary compensation for users, holds significant promise in minimizing congestion and renewable energy curtailment. This study utilizes the Day-Ahead Locational Marginal Price (LMP) data obtained from various locations within California Independent System Operator (CAISO) to ascertain the financial benefits to BEVs located on either side of congestion at different grid nodes, across various months. Similar analysis is performed on some of the largest solar energy plants in California. Mixed-integer linear programs are used to optimize the charging/discharging decisions for the BEV for maximizing revenue from LMP arbitrage and for minimizing the congestion component of LMP. Additionally, we take into account the impact of battery degradation, quantified as a cost per kilowatt-hour ($/kWh), and integrate this factor into our assessment to understand the evolving discharging behavior of BEVs. The article compares the benefits from the BEVs towards congestion minimization for the two different optimization scenarios, discusses seasonality, and addresses the importance of adequately compensating BEV users and incentivizing them to prioritize congestion relief during specific time intervals. Full article
(This article belongs to the Special Issue Energy, Sustainable Transport and Electric Vehicles)
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20 pages, 5174 KiB  
Article
Assessing the Cross-Sectoral Economic–Energy–Environmental Impacts of Electric-Vehicle Promotion in Taiwan
by Chi-Hao Chen, Yun-Hsun Huang, Jung-Hua Wu and Hwa Lin
Sustainability 2023, 15(19), 14135; https://doi.org/10.3390/su151914135 - 24 Sep 2023
Viewed by 1392
Abstract
Few studies have examined the cross-sectoral impacts of electric vehicles on the economy, energy, and the environment. This study adopted hybrid electric vehicles, plug-in hybrid electric vehicles, and pure-battery electric vehicles as research objects in establishing an input–output analysis framework of the electric-vehicle [...] Read more.
Few studies have examined the cross-sectoral impacts of electric vehicles on the economy, energy, and the environment. This study adopted hybrid electric vehicles, plug-in hybrid electric vehicles, and pure-battery electric vehicles as research objects in establishing an input–output analysis framework of the electric-vehicle industry. Learning curves and scenario analysis were also used to explore the cross-sectoral economic–energy–environmental impacts of electric-vehicle promotion, using Taiwan as a case study. Our results indicated that by 2040, electric vehicles will create an output value of 157~186.7 billion NTD, while boosting employment and reducing energy expenditures but having a negligible impact on income. It is expected that by 2040, the adoption of electric vehicles will reduce energy consumption to 65~82% of the levels required for vehicles using internal-combustion engines. Electric vehicles are expected to reduce CO2 and NOX emissions but increase PM2.5 emissions, with little effect on SOX emissions. Full article
(This article belongs to the Special Issue Energy, Sustainable Transport and Electric Vehicles)
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28 pages, 15075 KiB  
Article
Study of a Hybrid Vehicle Powertrain Parameter Matching Design Based on the Combination of Orthogonal Test and Cruise Software
by Xingxing Wang, Shengren Liu, Peilin Ye, Yu Zhu, Yinnan Yuan and Linfei Chen
Sustainability 2023, 15(14), 10774; https://doi.org/10.3390/su151410774 - 09 Jul 2023
Viewed by 1523
Abstract
In order to further improve the power and fuel economy of hybrid vehicles, this paper proposes a method of hybrid vehicle powertrain matching by combining orthogonal tests with Cruise software, supplemented by the control strategy formulation of critical components of the whole vehicle [...] Read more.
In order to further improve the power and fuel economy of hybrid vehicles, this paper proposes a method of hybrid vehicle powertrain matching by combining orthogonal tests with Cruise software, supplemented by the control strategy formulation of critical components of the whole vehicle on the MATLAB/Simulink platform. Considering the influence of vehicle engine, electric motor, battery and overall mass on the powertrain design, the L9(34)-type orthogonal table is selected for the orthogonal test design. After verifying the feasibility and accuracy of each design solution of the powertrain, the different design solutions are simulated for power and economic performance. Finally, the best performance indicators of the vehicle are as follows: the maximum speed is 183.35 km/h, the 0–100 km/h acceleration time is 6.87 s, and the maximum degree of climbing is 39.65 percent. The fuel consumption of 100 km is 3.47 L. The optimal solution was compared with the third-generation Harvard H6 and AITO M5 in terms of fuel saving and emission reduction, and it was found that for every 15,000 km driven, it is expected to save 469.5 L of fuel and 109.5 L of CO2, respectively, which can reduce fuel use and emission by about 1051.21 kg and 245.17 kg CO2, respectively. This simulation experiment can reduce the workload of traditional power system matching. It can provide ideas for power system matching and optimization for Corun CHS Technology Co., Ltd. (Foshan City, Guangdong Province, China) and offer a certain degree of reference for hybrid vehicle power system design and simulation. Full article
(This article belongs to the Special Issue Energy, Sustainable Transport and Electric Vehicles)
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