Review
Environmental Sciences
Ahan Parikh, Manan Shah, Mitul Prajapati
Summary: With the advancement of technology and the implementation of international norms to reduce greenhouse gas emissions, automakers have focused on new technologies related to electric and hybrid vehicles as well as electric fuel cell vehicles. This study compares different fuel cell electric car topologies to determine which fuel alternative is more sustainable in the future. The analysis includes comparing the efficiencies, performance, advantages, and disadvantages of different fuel cells and batteries.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Computer Science, Interdisciplinary Applications
Xiaoxi Zhu, Kai Liu, Juan Liu, An Yan
Summary: This paper examines the performance of government R&D subsidy in the context of downstream competition in the new energy vehicle industry. The results show that downstream competition may reduce battery research and development (R&D) and decrease the market scale of battery electric vehicles (BEVs). The subsidy performs better in increasing supplier R&D activity under competition, but its impact on manufacturers and consumer surplus is more complex. It consistently increases profits and consumer surplus for supply chain stakeholders in the absence of competition, but under competition, it only increases supplier profit and doesn't always benefit manufacturers and consumer surplus. The findings of this study are instructive for both BEV supply chain stakeholders and policy makers.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Engineering, Chemical
Qian Tang, Xiong Shu, Guanghui Zhu, Jiande Wang, Huan Yang
Summary: The powertrain system is critical to the reliability of battery electric vehicles. The battery module was found to be the most unreliable component in the entire powertrain system. Interestingly, the reliability of motor components was higher than that of other subsystem components.
Review
Environmental Sciences
Kevin Pinto, Hari Om Bansal, Praveen Goyal
Summary: This study conducted a bibliometric analysis on 10,426 publications related to electric vehicles (EVs) from 1989 to 2020. By analyzing citations and co-citations, key research areas in the field of EVs over the last three decades were identified, providing insights for stakeholders. The results highlight the importance of EVs in addressing environmental issues and accelerating adoption by end-users.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Business
Zhanglan Wu, Qinglong Shao, Yantao Su, Dan Zhang
Summary: The study applied socio-technical transition theory and the multi-level perspective approach to analyze the transition from traditional fuel vehicles to new energy vehicles in China. It identified four phases according to national plans and highlighted the essential role of government in promoting low-carbon transition in the automobile industry.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2021)
Article
Energy & Fuels
Pranjali R. Tete, Mahendra M. Gupta, Sandeep S. Joshi
Summary: In the era of sustainable energy revolution, battery storage has emerged as a crucial field, especially in the context of electric vehicles. Efficient energy storage and retrieval in batteries, along with the operating temperature of electric vehicle batteries, are vital for performance optimization. Various cooling systems, such as air, liquid, phase change material, heat pipe, and refrigeration methods, have been discussed in depth in recent experimental and numerical analyses of battery thermal management systems (BTMS).
JOURNAL OF ENERGY STORAGE
(2021)
Article
Environmental Studies
Sigrid Damman, Markus Steen
Summary: This paper uses the multi-level perspective to study three Norwegian ports, revealing the sociotechnical processes behind their development into zero emission energy hubs. The study shows that ports play an active role in sustainability transition, with individual orientations and organizational capacity influencing their engagement with radical innovation niches.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2021)
Article
Environmental Studies
Kristin Ystmark Bjerkan, Nina Mollerstuen Bjorge, Sahar Babri
Summary: The transformation of sustainable mobility systems relies on niche innovations outperforming existing regimes, driven by policy through creative destruction. Local policies have been found to enhance the relative advantage of electric vehicles in shaping infrastructure, user practices, and normative rules.
ENERGY RESEARCH & SOCIAL SCIENCE
(2021)
Article
Environmental Sciences
Zhaojun Yang, Xu Hu, Jun Sun, Quanlong Lei, Yali Zhang
Summary: In countries promoting EV diffusion, battery swapping provides a market outlet for time-sensitive consumers and serves as a green policy channel. This study uses a Hotelling model to analyze the competitive market between battery swapping and charging service providers, exploring the scenarios of no subsidization, consumer subsidization, and provider subsidization to maximize social welfare. The findings, considering subsidy amount, consumer time preferences, service time, and operating costs, offer valuable insights for policymakers. Subsidizing service providers instead of end consumers proves more effective, and controlling incentive amount to avoid harming charging services is necessary.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Chemistry, Physical
Haosong He, Xiangjie Chen, Ashley Fly, Vishal Saini
Summary: In this study, a new approach (FAED approach) is proposed to fit the temperature-sensitive parameters and corresponding activation energies to experimental data with a single discharge process, reducing the testing time and enabling effective thermal analysis of EV batteries.
JOURNAL OF POWER SOURCES
(2023)
Article
Business
Eliane Horschutz Nemoto, Dorien Korbee, Ines Jaroudi, Tobias Viere, Gabriele Naderer, Guy Fournier
Summary: This study examines the impact of automated vehicles and automated minibuses integrated into mobility systems as a breakthrough technology from the perspectives of stakeholders and citizens. Through conceptual mapping, semi-structured interviews, and a large-scale survey, the research addresses the main drivers and barriers to the deployment of automated minibuses and provides insights into the interaction between technology and society. The findings suggest that integrating automated minibuses into public transport and MaaS systems can contribute to a socio-technical transition towards a new mobility paradigm.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2023)
Article
Engineering, Civil
Hao Wu
Summary: The population of electric vehicles has grown rapidly due to technological advancements, but long charging times causing range anxiety have hindered their promotion. Therefore, the battery swapping station model has been proposed as an alternative method to address this issue.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Energy & Fuels
Agnieszka Dudziak, Pawel Drozdziel, Monika Stoma, Jacek Caban
Summary: The automotive market is rapidly evolving, with a focus on intelligent vehicles that incorporate modern technology and support systems. There is a growing presence of cars with a high level of driving autonomy. This article discusses the concept of BEV and PHEV vehicles in relation to modern solutions and their levels of autonomy. The research conducted among various groups of respondents reveals that PHEV hybrid vehicles and electric vehicles (BEV) are believed to be the dominant types of vehicles currently and in the near future in Poland, with an average level of autonomy.
Article
Economics
Simon Pemberton, Alexandre Nobajas, Richard Waller
Summary: This paper provides new insights into the spatial heterogeneity of public rapid charging provision for Battery Electric Vehicles (BEVs) in the UK. It introduces a new conceptual framework capturing different dimensions of BEV mobility and emphasizes the importance of multiplicity in rapid charging provision. The paper also highlights the current restriction of charge point multiplicity to large urban areas and strategic road networks, pointing out spatial variations in road network connectivity and potential market failures in rural areas.
JOURNAL OF TRANSPORT GEOGRAPHY
(2021)
Article
Computer Science, Information Systems
Aaron I. Rabinowitz, John G. Smart, Timothy C. Coburn, Thomas H. Bradley
Summary: As governments and the automotive industry push toward electrification, it is crucial to address the operational inconvenience that influences consumer decisions regarding Battery Electric Vehicles (BEVs). This paper presents an empirical equation, derived using a novel data-based method, which relates operational inconvenience to housing and local Electric Vehicle Supply Equipment (EVSE) infrastructure factors. This quantitative approach can help understand and mitigate the disparities in BEV experience and adoption that may arise from electrification.
Article
Green & Sustainable Science & Technology
Nina Weitz, Henrik Carlsen, Mans Nilsson, Kristian Skanberg
SUSTAINABILITY SCIENCE
(2018)
Review
Environmental Sciences
David L. McCollum, Luis Gomez Echeverri, Sebastian Busch, Shonali Pachauri, Simon Parkinson, Joeri Rogelj, Volker Krey, Jan C. minx, Mans Nilsson, Anne-Sophie Stevance, Keywan Riahi
ENVIRONMENTAL RESEARCH LETTERS
(2018)
Article
Green & Sustainable Science & Technology
Mans Nilsson, Elinor Chisholm, David Griggs, Philippa Howden-Chapman, David McCollum, Peter Messerli, Barbara Neumann, Anne-Sophie Stevance, Martin Visbeck, Mark Stafford-Smith
SUSTAINABILITY SCIENCE
(2018)
Editorial Material
Medicine, General & Internal
Yulia Blomstedt, Zulfiqar A. Bhutta, Johan Dahlstrand, Peter Friberg, Lawrence O. Gostin, Mans Nilsson, Nelson K. Sewankambo, Goran Tomson, Tobias Alfven
BMJ-BRITISH MEDICAL JOURNAL
(2018)
Article
Economics
Bjorn Nykvist, Frances Sprei, Mans Nilsson
Article
Green & Sustainable Science & Technology
Efraim Hernandez-Orozco, Ivonne Lobos-Alva, Mario Cardenas-Velez, David Purkey, Mans Nilsson, Piedad Martin
Summary: Researchers have utilized a soft systems thinking approach, the SDG Synergies method, to assess interactions among Sustainable Development Goals at different scales, revealing significant differences between national and subnational levels. This highlights the limitations of hard systems thinking methods in the face of data constraints, suggesting that soft systems thinking is more suitable for cross-scale analysis.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2022)
Correction
Green & Sustainable Science & Technology
Frank Biermann, Thomas Hickmann, Carole-Anne Senit, Marianne Beisheim, Steven Bernstein, Pamela Chasek, Leonie Grob, Rakhyun E. Kim, Louis J. Kotze, Mans Nilsson, Andrea Ordonez Llanos, Chukwumerije Okereke, Prajal Pradhan, Rob Raven, Yixian Sun, Marjanneke J. Vijge, Detlef van Vuuren, Birka Wicke
NATURE SUSTAINABILITY
(2023)
Article
Green & Sustainable Science & Technology
Frank Biermann, Thomas Hickmann, Carole-Anne Senit, Marianne Beisheim, Steven Bernstein, Pamela Chasek, Leonie Grob, Rakhyun E. Kim, Louis J. Kotze, Mans Nilsson, Andrea Ordonez Llanos, Chukwumerije Okereke, Prajal Pradhan, Rob Raven, Yixian Sun, Marjanneke J. Vijge, Detlef van Vuuren, Birka Wicke
Summary: The study shows that the Sustainable Development Goals have primarily had a discursive influence and limited political impact on institutions and policies. The transformative effect of the goals, such as legislative action and changing resource allocation, remains rare.
NATURE SUSTAINABILITY
(2022)
Article
Environmental Studies
S. Krupnik, A. Wagner, O. Vincent, T. J. Rudek, R. Wade, M. Misik, S. Akerboom, C. Foulds, K. Smith Stegen, C. Adem, S. Batel, F. Rabitz, C. Certoma, J. Chodkowska-Miszczuk, M. Denac, D. Dokupilova, M. D. Leiren, M. Frolova Ignatieva, D. Gabaldon-Estevan, A. Horta, P. Karnoe, J. Lilliestam, D. Loorbach, S. Muhlemeier, S. Nemoz, M. Nilsson, J. Osicka, L. Papamikrouli, L. Pellizioni, S. Sareen, M. Sarrica, G. Seyfang, B. Sovacool, A. Telesiene, V Zapletalova, T. von Wirth
Summary: This paper presents a novel approach to future research in the social sciences and humanities (SSH) on renewable energy sources by developing a set of 100 priority questions through interviews, workshops, and a horizon scanning process. The research identifies four main directions for future SSH research, including economic transformation, cultural diversity, energy governance, and value-based objectives. The findings contribute to enriching dialogues between policymakers, funding institutions, and researchers, emphasizing the intrinsic importance of SSH scholarship in renewable energy research.
ENERGY RESEARCH & SOCIAL SCIENCE
(2022)
Article
Public, Environmental & Occupational Health
Daniel Hellden, Nina Weitz, Mans Nilsson, Tobias Alfven
Summary: The SDG Synergies approach helps policymakers understand the interactions between SDGs and incorporate health into the sustainable development agenda.
PUBLIC HEALTH REVIEWS
(2022)
Meeting Abstract
Public, Environmental & Occupational Health
D. Hellden, P. C. Chea, S. Sok, L. Jarnberg, H. Nordenstedt, K. Rasanathan, G. Tomson, M. Nilsson, T. Alfven
TROPICAL MEDICINE & INTERNATIONAL HEALTH
(2021)
Article
Business
Mariesse A. E. van Sluisveld, Andries F. Hof, Samuel Carrara, Frank W. Geels, Mans Nilsson, Karoline Rogge, Bruno Turnheim, Detlef P. van Vuuren
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2020)
Article
Business
Mans Nilsson, Adis Dzebo, Georgia Savvidou, Katarina Axelsson
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2020)
Review
Green & Sustainable Science & Technology
Malgorzata Blicharska, Richard J. Smithers, Grzegorz Mikusinski, Patrik Ronnback, Paula A. Harrison, Mans Nilsson, William J. Sutherland
NATURE SUSTAINABILITY
(2019)
Article
Political Science
Mans Nilsson, Nina Weitz
POLITICS AND GOVERNANCE
(2019)
Article
Energy & Fuels
Shitong Fang, Houfan Du, Tao Yan, Keyu Chen, Zhiyuan Li, Xiaoqing Ma, Zhihui Lai, Shengxi Zhou
Summary: This paper proposes a new type of nonlinear VIV energy harvester (ANVEH) that compensates for the decrease in peak energy output at low wind speeds by introducing an auxiliary structure. Theoretical and experimental results show that ANVEH performs better than traditional nonlinear VIV energy harvesters under various system parameter variations.
Article
Energy & Fuels
Wei Jiang, Shuo Zhang, Teng Wang, Yufei Zhang, Aimin Sha, Jingjing Xiao, Dongdong Yuan
Summary: A standardized method was developed to evaluate the availability of solar energy resources in road areas, which combined the Analytic Hierarchy Process (AHP) and the Geographic Information System (GIS). By analyzing critical factors and using a multi-indicator evaluation method, the method accurately evaluated the utilization of solar energy resources and guided the optimal location selection for road photovoltaic (PV) projects. The results provided guidance for the application of road PV projects and site selection for route corridors worldwide, promoting the integration of transportation and energy.
Article
Energy & Fuels
Chang Liu, Jacob A. Wrubel, Elliot Padgett, Guido Bender
Summary: The study investigates the effects of coating defects on the performance of the anode porous transport layer (PTL) in water electrolyzers. The results show that an increasing fraction of uncoated regions on the PTL leads to decreased cell performance, with continuous uncoated regions having a more severe impact compared to multiple thin uncoated strips.
Article
Energy & Fuels
Marcos Tostado-Veliz, Xiaolong Jin, Rohit Bhakar, Francisco Jurado
Summary: In this paper, a coordinated charging price mechanism for clusters of parking lots is proposed. The research shows that enabling vehicle-to-grid characteristics can bring significant economic benefits for users and the cluster coordinator, and vehicle-to-grid impacts noticeably on the risk-averse character of the uncertainty-aware strategies. The developed pricing mechanism can reduce the cost for users, avoiding to directly translate the energy cost to charging points.
Article
Energy & Fuels
Duan Kang
Summary: Building an energy superpower is a key strategy for China and a long-term goal for other countries. This study proposes an evaluation system and index for measuring energy superpower, and finds that China has significantly improved its ranking over the past 21 years, surpassing other countries.
Article
Energy & Fuels
Fucheng Deng, Yifei Wang, Xiaosen Li, Gang Li, Yi Wang, Bin Huang
Summary: This study investigated the synergistic blockage mechanism of sand and hydrate in gravel filling layer and the evolution of permeability in the layer. Experimental models and modified permeability models were established to analyze the effects of sand particles and hydrate formation on permeability. The study provided valuable insights for the safe and efficient exploitation of hydrate reservoirs.
Article
Energy & Fuels
Hao Wang, Xiwen Chen, Natan Vital, Edward Duffy, Abolfazl Razi
Summary: This study proposes a HVAC energy optimization model based on deep reinforcement learning algorithm. It achieves 37% energy savings and ensures thermal comfort for open office buildings. The model has a low complexity, uses a few controllable factors, and has a short training time with good generalizability.
Article
Energy & Fuels
Moyue Cong, Yongzhuo Gao, Weidong Wang, Long He, Xiwang Mao, Yi Long, Wei Dong
Summary: This study introduces a multi-strategy ultra-wideband energy harvesting device that achieves high power output without the need for external power input. By utilizing asymmetry, stagger array, magnetic coupling, and nonlinearity strategies, the device maintains a stable output voltage and high power density output at non-resonant frequencies. Temperature and humidity monitoring are performed using Bluetooth sensors to adaptively assess the device.
Article
Energy & Fuels
Tianshu Dong, Xiudong Duan, Yuanyuan Huang, Danji Huang, Yingdong Luo, Ziyu Liu, Xiaomeng Ai, Jiakun Fang, Chaolong Song
Summary: Electrochemical water splitting is crucial for hydrogen production, and improving the hydrogen separation rate from the electrode is essential for enhancing water electrolyzer performance. However, issues such as air bubble adhesion to the electrode plate hinder the process. Therefore, a methodology to investigate the two-phase flow within the electrolyzer is in high demand. This study proposes using a microfluidic system as a simulator for the electrolyzer and optimizing the two-phase flow by manipulating the micro-structure of the flow.
Article
Energy & Fuels
Shuo Han, Yifan Yuan, Mengjiao He, Ziwen Zhao, Beibei Xu, Diyi Chen, Jakub Jurasz
Summary: Giving full play to the flexibility of hydropower and integrating more variable renewable energy is of great significance for accelerating the transformation of China's power energy system. This study proposes a novel day-ahead scheduling model that considers the flexibility limited by irregular vibration zones (VZs) and the probability of flexibility shortage in a hydropower-variable renewable energy hybrid generation system. The model is applied to a real hydropower station and effectively improves the flexibility supply capacity of hydropower, especially during heavy load demand in flood season.
Article
Energy & Fuels
Zhen Wang, Kangqi Fan, Shizhong Zhao, Shuxin Wu, Xuan Zhang, Kangjia Zhai, Zhiqi Li, Hua He
Summary: This study developed a high-performance rotary energy harvester (AI-REH) inspired by archery, which efficiently accumulates and releases ultralow-frequency vibration energy. By utilizing a magnetic coupling strategy and an accumulator spring, the AI-REH achieves significantly accelerated rotor speeds and enhanced electric outputs.
Article
Energy & Fuels
Yi Yang, Qianyi Xing, Kang Wang, Caihong Li, Jianzhou Wang, Xiaojia Huang
Summary: In this study, a novel hybrid Quantile Regression (QR) model is proposed for Probabilistic Load Forecasting (PLF). The model integrates causal dilated convolution, residual connection, and Bidirectional Long Short-Term Memory (BiLSTM) for multi-scale feature extraction. In addition, a Combined Probabilistic Load Forecasting System (CPLFS) is proposed to overcome the inherent flaws of relying on a single model. Simulation results show that the hybrid QR outperforms traditional models and CPLFS exceeds the best benchmarks in terms of prediction accuracy and stability.
Article
Energy & Fuels
Wen-Jiang Zou, Young-Bae Kim, Seunghun Jung
Summary: This paper proposes a dynamic prediction model for capacity fade in vanadium redox flow batteries (VRFBs). The model accurately predicts changes in electrolyte volume and capacity fade, enhancing the competitiveness of VRFBs in energy storage applications.
Article
Energy & Fuels
Yuechao Ma, Shengtie Wang, Guangchen Liu, Guizhen Tian, Jianwei Zhang, Ruiming Liu
Summary: This paper focuses on the balance of state of charge (SOC) among multiple battery energy storage units (MBESUs) and bus voltage balance in an islanded bipolar DC microgrid. A SOC automatic balancing strategy is proposed considering the energy flow relationship and utilizing the adaptive virtual resistance algorithm. The simulation results demonstrate the effectiveness of the proposed strategy in achieving SOC balancing and decreasing bus voltage unbalance.
Article
Energy & Fuels
Raad Z. Homod, Basil Sh. Munahi, Hayder Ibrahim Mohammed, Musatafa Abbas Abbood Albadr, Aissa Abderrahmane, Jasim M. Mahdi, Mohamed Bechir Ben Hamida, Bilal Naji Alhasnawi, A. S. Albahri, Hussein Togun, Umar F. Alqsair, Zaher Mundher Yaseen
Summary: In this study, the control problem of the multiple-boiler system (MBS) is formulated as a dynamic Markov decision process and a deep clustering reinforcement learning approach is applied to obtain the optimal control policy. The proposed strategy, based on bang-bang action, shows superior response and achieves more than 32% energy saving compared to conventional fixed parameter controllers under dynamic indoor/outdoor actual conditions.
