Article
Thermodynamics
Mahmoud M. Gamil, Tomonobu Senjyu, Hasan Masrur, Hiroshi Takahashi, Mohammed Elsayed Lotfy
Summary: This study introduces a multi-objective power scheduling and energy management techniques to address the growing burden of electric vehicles on the electrical grid. By comparing different sizing scenarios of residential microgrids and introducing control techniques for charging and discharging battery energy storage systems, the effectiveness of the control techniques in reducing total system cost and CO2 emissions is demonstrated.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Energy & Fuels
James Dixon, Zhaoqi Zhou, Sounthisack Phommachanh, Sengratry Kythavone, Phongsavanh Inthavongsa, Stephanie A. Hirmer
Summary: The majority of transport decarbonisation pathways rely on electrification of surface transport modes and renewable electricity generation. However, there are barriers to implementing these strategies, particularly in Southeast Asia where there is little research conducted. This paper examines the barriers and enablers for e-mobility and renewable energy integration in Laos and Southeast Asia through stakeholder engagement and provides recommendations for fostering low-carbon growth in the region.
ENERGY STRATEGY REVIEWS
(2023)
Article
Energy & Fuels
Muhammad Aurangzeb, Ai Xin, Sheeraz Iqbal, Muhammad Zeshan Afzal, Hossam Kotb, Kareem M. AboRas, Yazeed Yasin Ghadi, Bello-Pierre Ngoussandou
Summary: This research study investigates the use of a droop-ANN model to enhance power quality in vehicle-to-grid (V2G) systems. Simulation results demonstrate that the droop-ANN model significantly improves power quality across various battery states of charge and charging/discharging scenarios, highlighting its potential to enhance stability and reliability in V2G systems.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2023)
Article
Thermodynamics
Yang Zhao, Ziyue Jiang, Xinyu Chen, Peng Liu, Tianduo Peng, Zhan Shu
Summary: This paper establishes an integrated data-driven assessment model for investigating the energy use patterns and charging load profiles of urban-scale EV fleets. The results show distinct energy consumption patterns and charging peaks for private light-duty EVs in Beijing, providing insights for transport emissions, urban power supply, infrastructure build-ups, and policymaking.
Article
Multidisciplinary Sciences
Elisabetta Perotti, Ana M. Ospina, Gianluca Bianchin, Andrea Simonetto, Emiliano Dall'Anese
Summary: This paper explores methods to maximize renewable-based EV charging in ride-sharing enterprises, introducing the concept of charge request. Using a game-theoretic approach, a mechanism is proposed where the power utility company offers incentives and the ride-sharing platform assigns vehicles based on Nash equilibria. Numerical results demonstrate the possibility of shifting EV charging to periods of high renewable generation while minimizing impact on service quality.
SCIENTIFIC REPORTS
(2023)
Article
Thermodynamics
Anis Ur Rehman, Zia Ullah, Aqib Shafiq, Hany M. Hasanien, Peng Luo, Fazal Badshah
Summary: This paper proposes a new model design for solar-powered EV charging stations and explores the relationship between customer involvement in economic development and load management and the technical, financial, and environmental effects. The study shows that maximum customer involvement can result in a production of 1,070,804.096 MWh/year of energy through the PV system, hence reducing overall energy costs.
Article
Thermodynamics
Loiy Al-Ghussain, Adnan Darwish Ahmad, Ahmad M. Abubaker, Mohamed A. Mohamed, Muhammed A. Hassan, Nelson K. Akafuah
Summary: This study investigates the potential of using a hybrid renewable energy system to meet the increasing energy demand for electric vehicles in Jordan. The results show that as EV penetration increases, both ESS and RES capacity need to be adjusted accordingly. The optimal charging period is found to be during the morning hours from 6:00 to 9:00.
CASE STUDIES IN THERMAL ENGINEERING
(2022)
Article
Environmental Sciences
Ashley Nunes, Laurena Huh, Nicole Kagan, Richard B. Freeman
Summary: Electric, autonomous vehicles offer solutions to technical inefficiencies associated with gasoline use and emission reduction. However, previously unconsidered cost factors and impacts on energy consumption and emissions must be addressed through technological, behavioral, and logistical means. The stringency of pathways is largely influenced by heterogeneity in trip timing behavior.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Engineering, Electrical & Electronic
Mohammadali Kargar, Chen Zhang, Xingyong Song
Summary: This article studies the problem of autonomous hybrid electric vehicles following a leader, integrating the external dynamics and powertrain dynamics for optimization. A customized control strategy based on Approximate Dynamic Programming and neural networks is proposed, and the accuracy of the optimization solution is improved by applying the concept of reachable sets. Three case studies demonstrate that the examined integrated control strategy significantly improves fuel consumption compared to the separated optimization method.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Thermodynamics
Yee Van Fan, Peng Jiang, Jiri Jaromir Klemes, Pawel Oclon
Summary: The electrification of mobility is an effective solution to reduce the environmental burden of the transportation sector. This study assesses the environmental performance of power generation and identifies the potential emission reduction by altering the charging behavior of electric vehicles. The results show that charging at specific times and locations can significantly lower greenhouse gas emissions, and changing charging behavior can lead to a lower greenhouse gas footprint.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Environmental Studies
Feng Wei, W. D. Walls, Xiaoli Zheng, Guodong Li
Summary: Replacing internal combustion engine vehicles with electric vehicles is the most direct pathway to decarbonize transportation. This paper investigates the environmental benefits of electric vehicle adoption in Shanghai-China's largest regional electric vehicle market. Our results indicate that electric vehicles have been over-subsidized and the environmental benefits were not distributed uniformly. Three policy recommendations are provided to improve the environmental benefits of electric vehicle adoption.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2023)
Article
Energy & Fuels
Kangoh Lee
Summary: This paper discusses bold fiscal policies for the EU's transition to net-zero emissions, proposing upfront incentives for electric vehicles and subsidies for renewable energy sources. The feasibility of these policies is examined by drawing a parallel to fiscal policies implemented during the early stages of the Covid-19 pandemic.
Article
Engineering, Electrical & Electronic
Mohammadali Kargar, Tohid Sardarmehni, Xingyong Song
Summary: This article focuses on the control of powertrain energy management for an autonomous HEV and introduces a new control strategy based on flexible power demand. The power flexibility is incorporated into the Approximate Dynamic Programming (ADP) framework. An example is provided to demonstrate the feasibility of the proposed method.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Energy & Fuels
Zitong Liao, Morteza Taiebat, Ming Xu
Summary: Vehicle-to-Grid (V2G) services use idle EV batteries for energy storage, but face issues like inconvenience and degradation. Shared autonomous electric vehicle (SAEV) fleets could be a solution, with V2G reducing operating costs by up to 19.6% and generating an average revenue of $2,272 per vehicle annually while saving 66.5 tons of GHG emissions per vehicle per year.
Article
Economics
Dun Li, Youlin Huang, Lixian Qian
Summary: This study investigates consumers' intention to use robotaxi and to buy AVs, particularly focusing on the roles of perceived benefits to multiple stakeholders (i.e., users and pedestrians) and consumers' environmental awareness in the adoption process. The findings reveal the importance of users' perceptions of benefits, perceived drawbacks, and environmental awareness in shaping attitudes and intentions towards robotaxi and AV ownership.
Article
Management
Melvern Leung, Youwei Li, Athanasios A. Pantelous, Samuel A. Vigne
Summary: This study proposes a new backtesting method that can reduce the impact of biased outcomes on decision-making, as well as verify the new technology through annuity pricing under a Bayesian framework in response to regulatory demands from Solvency II. It concludes that the Bayesian decision theoretic framework quantitatively produces evidence supporting one decision over the other.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Green & Sustainable Science & Technology
Dongyang Zhang, Samuel A. Vigne
Summary: This study emphasizes the importance of innovation efficiency in achieving sustainable development goals and environmental protection, showing a significant positive impact of innovation efficiency on Green Total Factor Productivity. Additionally, financial constraints negatively affect the relationship between innovation efficiency and GTFP.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Environmental Sciences
Dongyang Zhang, Samuel A. Vigne
Summary: By implementing a green loan policy, China has successfully reduced pollution emissions, but there is a punishment effect on highly polluting firms through emission reduction policies. Financial constraints act as one of the mechanisms for punishment, while working capital and trade credit become important sources of financing for investments.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Business, Finance
Michael Frommel, Xing Han, Youwei Li, Samuel A. Vigne
Summary: The conventional risk-based theory fails to explain the liquidity-beta anomaly in China, where low liquidity-beta stocks outperform high liquidity-beta stocks on a risk-adjusted basis. This pattern remains strong regardless of weighting schemes, factor models, and other return determinants. A competing behavioral-based explanation is proposed, suggesting that liquidity beta is a negative predictor of returns in the cross section. Furthermore, the time variation of the return differential between low and high liquidity beta stocks is driven by investor sentiment, after considering other potential economic mechanisms.
EMERGING MARKETS REVIEW
(2022)
Article
Business, Finance
Belinda L. Del Gaudio, Daniele Previtali, Gabriele Sampagnaro, Vincenzo Verdoliva, Samuel Vigne
Summary: This study examines the impact of banks' green lending propensity on profitability and risk. The findings suggest that banks with a higher green lending propensity tend to have lower profitability but more moderate default and credit risk. Furthermore, collateralization and longer duration of green lending improve bank performance, while larger syndicate size reduces profitability and risk.
JOURNAL OF INTERNATIONAL FINANCIAL MANAGEMENT & ACCOUNTING
(2022)
Editorial Material
Business, Finance
Vincenzo Verdoliva, Samuel A. Vigne
JOURNAL OF INTERNATIONAL FINANCIAL MANAGEMENT & ACCOUNTING
(2022)
Article
Business, Finance
Yizhi Wang, Brian Lucey, Samuel Alexandre Vigne, Larisa Yarovaya
Summary: This paper introduces a new index, ICEA, to capture the relative extent of media discussions surrounding the environmental impact of cryptocurrencies. The findings suggest that ICEA has a significant positive relationship with cryptocurrency indices, volatility index, Brent crude oil, and Bitcoin, and a significant negative relationship with global economic policy uncertainty and global temperature uncertainty. The paper also highlights the importance of considering the broader impacts of cryptocurrency environmental concerns on market volatility, uncertainty, and environmental sustainability.
CHINA FINANCE REVIEW INTERNATIONAL
(2022)
Article
Business, Finance
Brian M. Lucey, Samuel A. Vigne, Larisa Yarovaya, Yizhi Wang
Summary: The Cryptocurrency Uncertainty Index (UCRY) has been developed based on news coverage, capturing uncertainty in cryptocurrency price and policy. The index exhibits distinct movements around major events in the cryptocurrency space, and can be used for academic, policy, and practice-driven research beyond Bitcoin.
FINANCE RESEARCH LETTERS
(2022)
Article
Business, Finance
Sitara Karim, Brian M. Lucey, Muhammad Abubakr Naeem, Samuel A. Vigne
Summary: This study investigates the extreme tail dependence between Bitcoin and Emerging Asian Islamic (EAI) markets. It finds that EAIs have stronger safe-haven properties for Bitcoin and provide higher diversification benefits in portfolio investment. The findings have useful implications for policymakers, governments, regulation authorities, ethical investors, and portfolio managers.
EMERGING MARKETS REVIEW
(2023)
Article
Business
Yizhi Wang, Brian M. Lucey, Samuel A. Vigne, Larisa Yarovaya
Summary: Based on the analysis of over 660 million news stories from LexisNexis News & Business between 2015-2021, we introduce two new indices, the CBDC Uncertainty Index (CBDCUI) and CBDC Attention Index (CBDCAI), to measure the impact of Central Bank Digital Currency (CBDC) on financial markets. Our findings suggest that CBDC uncertainty has a negative relationship with market volatilities, while CBDC attention is positively related to the volatilities of cryptocurrency markets and foreign exchange markets.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Business, Finance
Richard Harrison, Youwei Li, Samuel A. Vigne, Yuliang Wu
Summary: This study investigates the challenges faced by small and medium-sized enterprises (SMEs) in accessing bank financing during a financial crisis. The results indicate that the reduction in the supply of credit is the main cause of these difficulties. Specifically, during a crisis, increased lender risk leads to a decrease in the supply of credit and credit rationing. After the crisis, SMEs with higher risk and decreased profits find it difficult to secure bank loans.
INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS
(2022)
Article
Economics
Sitara Karim, Farah Naz, Muhammad Abubakr Naeem, Samuel A. Vigne
Summary: This study examines whether FinTech offers useful business mechanisms for SMEs in selected ASEAN countries. The study finds that the collisions between new FinTech and SMEs during COVID-19 are the most important factors in the growth of FinTech and the strength of SMEs.
ECONOMIC ANALYSIS AND POLICY
(2022)
Article
Business, Finance
Mabruk Billah, Sitara Karim, Muhammad Abubakr Naeem, Samuel A. Vigne
Summary: The study found that there is a relationship between returns and volatility in the energy and BRIC markets in uncertain economic conditions. The connectivity structure between upper and lower quantiles differs from the average quantile. Major crisis events have intensified spillovers between the two markets.
RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE
(2022)
Article
Business, Finance
Tobias Basse, Tony Klein, Samuel A. Vigne, Christoph Wegener
Summary: This paper integrates speculative bubbles into corporate finance literature by focusing on the impact of dividend policy on testing for bubbles in the S&P500 equity index. The study finds that dividend policy significantly affects the detection of speculative bubbles, with hypothetical dividend payouts based on corporate earnings providing valuable insights. Some results suggest there was no speculative price bubble in the broader U.S. stock market in the late 1990s.
JOURNAL OF CORPORATE FINANCE
(2021)
Article
Economics
Xiaochen Ma, Yanchun Pan, Manzi Zhang, Jianhua Ma, Wen Yang
Summary: This paper examines the impact of combined CET-FIP and CET-RPS policies on the development of renewable energy industry in China. The results indicate that both policies effectively reduce carbon emissions, with CET-RPS policy performing better in the long run for emissions reduction, and CET-FIP policy yielding stronger economic benefits. The impact of these policies varies at different stages of renewable energy development on electricity generation, company profits, and social welfare.
Article
Economics
Mathilde Lebrand, Garima Vasishtha, Hakan Yilmazkuday
Summary: This paper investigates the effects of real energy price shocks on current account balances of emerging market and developing economies. The results suggest that oil price shocks have the most significant impact on the current account balances, and the effects of oil demand shocks are different from those of oil supply shocks. The findings are robust to country-specific factors.
Article
Economics
Tianwei Tang, Xiaojing Jiang, Kaiwen Zhu, Ziyao Ying, Wenyu Liu
Summary: This study investigates the impact of officials' promotion pressure on green and low-carbon transition and its mechanisms. The findings suggest that promotion pressure significantly inhibits the transition, particularly before implementing the environmental inspection system. The study also explores the influence mechanism, showing that promotion pressure leads to a dependence on resource factors, industrial structure, and investment, which restricts the regional green low-carbon transformation.
Article
Economics
Junjie Zhang, Shiwei Yu, Xingyi Xiong, Xing Hu
Summary: People's time use is crucial for carbon emissions. The adoption of ICT affects time-use patterns and emissions. The study finds that increasing nonworking time reduces emissions by substituting consumption with time, while increasing the proportion of family members using mobile phones or surfing the internet increases emissions by increasing electricity and communication consumption.
Article
Economics
Lei Zhu, Jie Shen, Aruna Yeerken
Summary: The development of new energy industries is crucial for a nation's energy transition. Photovoltaic, wind power, lithium battery, and new energy vehicles industries have been active in the capital markets. Through investigating mergers and acquisitions (M&A) activities in these industries in China, we found that they affect firms' short-term market performance and long-term innovation.
Article
Economics
Qin Luo, Feng Ma, Jiqian Wang, You Wu
Summary: Academic research uses exogenous drivers to improve the accuracy of oil volatility forecasting. Dimension reduction regressions, particularly principal component analysis regression, successfully predict oil volatility at the one-month horizon. Shrinkage methods outperform other methods for medium and long-term forecast horizons. Unsupervised learning (PCA) performs better during periods of oil price decrease, while supervised learning methods (shrinkage methods) significantly improve volatility accuracy. The empirical results also identify several economic indicators that have a significant impact on oil volatility.
