Article
Environmental Studies
Christopher Hull, J. H. Giliomee, Katherine A. Collett, Malcolm D. McCulloch, M. J. Booysen
Summary: Paratransit, especially minibus taxis, play a crucial role in public transport in sub-Saharan Africa. However, these vehicles are often old, fuel inefficient, and expensive to operate. This study provides reliable estimates of vehicle energy consumption by applying a vehicle kinetic model to per-second GPS data collected from minibus taxis in South Africa. The findings suggest a range of energy consumption, with a mean value of 0.39 kWh/km. Previous estimates based on per-minute GPS data were shown to be inaccurate. The study recommends new kWh/km values for modeling vehicle operations and grid impact, and discusses the potential for advancing the transition to electric paratransit in sub-Saharan Africa.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2023)
Article
Green & Sustainable Science & Technology
Rafael Fernandes Mosquim, Carlos Eduardo Keutenedjian Mady
Summary: The study analyzes the exergy efficiencies of the Brazilian passenger vehicle fleet from 1970 to 2020, revealing low efficiencies but an improvement trend in recent years, with a reversal in the decrease of transportation service required around 2010.
JOURNAL OF CLEANER PRODUCTION
(2021)
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
Green & Sustainable Science & Technology
Deepjyoti Das, Pradip P. Kalbar, Nagendra R. Velaga
Summary: The study highlights the importance of improving electricity grids' efficiency and minimizing transmission and distribution losses when introducing electric vehicles (EVs) to reduce carbon emissions and achieve emission targets for 2030 and 2050. The research findings show that a comprehensive approach involving both EVs and improvements in electricity grids is essential to meet the estimated targets for carbon emission reduction.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Energy & Fuels
Guoyu Zhang, Mian Dai, Shuai Zhao, Xianglei Zhu
Summary: This paper proposes the ORTCS strategy for collaborative optimization of electric vehicles and renewable energy output, taking into account the flexibility of charge and discharge in the intelligent transportation field. The strategy aims to maximize the consumption of renewable energy while minimizing waiting time and expenses for car users. It evaluates the organized planning of charge and discharge based on the initial battery SOC of an electric vehicle connected to the power system, in order to obtain the real-time schedulability level from the perspective of the entire charging station.
Article
Economics
Jonas Hatzenbuhler, Erik Jenelius, Gyozo Gidofalvi, Oded Cats
Summary: This study explores the potential of modular vehicle concepts and consolidation to enhance the efficiency of urban freight and passenger transport. Modularity is achieved by connecting multiple vehicles to form a platoon, while consolidation integrates passenger and freight demand in the routing problem. A novel modular multi-purpose pickup and delivery problem (MMP-PDP) model is proposed and solved using CPLEX and Adaptive Large Neighborhood Search (ALNS), demonstrating significant cost savings and reduced trip duration.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2023)
Article
Economics
Tamara L. Sheldon, Rubal Dua, Omar Abdullah Alharbi
Summary: Promoting the adoption of plug-in electric vehicles (PEVs) through subsidies is a common policy lever for reducing emissions in the light-duty vehicle sector. The effectiveness and cost-effectiveness of these subsidies over time, as well as the need for further subsidization to encourage adoption among non-wealthy consumers, are examined in this study using data from a large-scale U.S. new vehicle buyer survey. The results indicate that while the overall impact and cost of PEV subsidies have decreased over time, this is primarily due to the increasing proportion of higher-priced PEVs like Teslas. The subsidy impact at the model level has remained relatively constant, and discontinuing subsidies in 2017 would have resulted in a significant decrease in PEV adoption among below-median income new vehicle buyers, emphasizing the continued need for subsidies. These findings hold implications for policymakers worldwide in designing effective PEV subsidy programs.
Article
Construction & Building Technology
Shanshan Liu, Eleftheria Kontou
Summary: Transportation plays a crucial role in economic development, individual empowerment, and community value. However, high transportation and fuel costs in the United States contribute to transportation energy vulnerability. By using a data-driven framework, this study quantifies transportation energy vulnerability and presents spatial patterns across different census tracts, providing valuable insights for addressing this issue.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Engineering, Civil
Selin Hulagu, Hilmi Berk Celikoglu
Summary: This article addresses the critical issues of using electric vehicles in urban transport, focusing on the limitations related to battery range and recharging station availability. By introducing the Electric Vehicle Location Routing Problem with Intermediate Nodes (ELRP-IN), optimal routing plans and recharging station locations are determined based on battery characteristics and energy recovery considerations.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Green & Sustainable Science & Technology
Arash Mousaei, Yahya Naderi
Summary: This article presents a novel approach using optimal predictive control methods to address the issues of stable rotation and energy efficiency in electric vehicles. By dynamically adjusting weight coefficients and optimizing wheel torque, the proposed control system achieves a balance between energy consumption and vehicle stability, resulting in stable rotation and significant reduction in energy consumption.
Article
Green & Sustainable Science & Technology
Ioana Ancuta Iancu, Patrick Hendrick, Dan Doru Micu, Denisa Stet, Levente Czumbil, Stefan Dragos Cirstea
Summary: This study investigates the relationship between national cultural dimensions (Hofstede model) and car adoption by fuel type in EU countries, aiming to fill the gap in considering the behavioral factors of buyers in low-emission mobility. The results show that consumer preference for one fuel type is correlated with at least one of Hofstede's six cultural dimensions. Increases in individualism, indulgence, power distance, and uncertainty avoidance index are associated with increased usage of low- and medium-emission cars.
Article
Thermodynamics
Mohamed A. M. Shaheen, Zia Ullah, Hany M. Hasanien, Marcos Tostado-Veliz, Haoran Ji, Mohammed H. Qais, Saad Alghuwainem, Francisco Jurado
Summary: This paper proposes a novel Enhanced Transient Search Optimization (ETSO) technique that integrates electric vehicles (EVs) for the optimal solution of the Optimal Reactive Power Dispatch (ORPD) problem. The proposed method minimizes the active power loss and voltage deviation at the load buses. It is tested and compared with other metaheuristic optimization methods on different IEEE bus systems, showing robustness and efficiency in solving the ORPD problem and improving the performance of power systems.
Article
Environmental Sciences
Luis Carlos Belalcazar-Ceron, Patricia Davila, Aura Rojas, Marco Andres Guevara-Luna, Helmer Acevedo, Nestor Rojas
Summary: The study evaluated the impact of replacing TransMilenio's diesel buses with electric buses on PM2.5 concentrations, finding that electric vehicles can reduce PM2.5 levels by 10-30%. It also identified non-exhaust emissions as a significant source of primary PM2.5.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Economics
Sofia Glyniadakis, Jose Antonio Perrella Balestieri
Summary: Energy scenarios play a critical role in defining public policies to encourage sustainable actions in the transportation sector. Possible scenarios for the technological distribution of light vehicles in 2050 were discussed to decarbonize the Brazilian transportation sector. The study highlights the potential for reducing emissions in the transportation sector using biofuels and electric vehicles, as well as the importance of optimizing the production chain of biofuels to maximize their efficiency.
Article
Automation & Control Systems
Seho Kim, Maedeh Amirpour, Tharindu Dharmakeerthi, Vahid Zahiri Barsari, Grant Covic, Simon Bickerton, Duleepa Thrimawithana
Summary: This article discusses the coupled electromagnetic-thermal simulations of inductive power transfer (IPT) pads using finite-element simulations. The derivation process of each electrical and thermal parameter required for the modeling is outlined. Simulation models are used to predict the power loss and temperature rise of an IPT pad under different ambient temperatures at steady state. Using these simulation methods, the power loss of an IPT pad operating at 50 degrees C ambient temperature is predicted. A 10-KW IPT system is set up in an environmental chamber to validate the predicted losses within the system.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Automation & Control Systems
Athar Hanif, Qadeer Ahmed, Aamer Iqbal Bhatti, Giorgio Rizzoni
JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME
(2020)
Article
Environmental Sciences
Matteo Muratori, Nico Bauer, Steven K. Rose, Marshall Wise, Vassilis Daioglou, Yiyun Cui, Etsushi Kato, Matthew Gidden, Jessica Strefler, Shinichiro Fujimori, Ronald D. Sands, Detlef P. van Vuuren, John Weyant
Article
Engineering, Electrical & Electronic
Mark J. O'Malley, Muhammad Bashar Anwar, Steve Heinen, Tom Kober, James McCalley, Madeleine McPherson, Matteo Muratori, Antje Orths, Mark Ruth, Thomas J. Schmidt, Aidan Tuohy
PROCEEDINGS OF THE IEEE
(2020)
Editorial Material
Environmental Sciences
Matteo Muratori, Trieu Mai
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Chemistry, Physical
Kaveh Khodadadi Sadabadi, Xin Jin, Giorgio Rizzoni
Summary: This paper developed a remaining useful life (RUL) prediction algorithm based on estimation of parameters of an enhanced single particle model (eSPM) that could be implemented using vehicle charging data. The proposed method estimates parameters associated with battery aging, uses them to design a RUL predictor, and validates the algorithm using experimental data collected on LMO-NMC battery cells, demonstrating the feasibility of inferring battery state of health and RUL from readily available charging data in plug-in battery-electric or hybrid vehicles.
JOURNAL OF POWER SOURCES
(2021)
Article
Energy & Fuels
Brennan Borlaug, Matteo Muratori, Madeline Gilleran, David Woody, William Muston, Thomas Canada, Andrew Ingram, Hal Gresham, Charlie McQueen
Summary: There is increasing focus on truck electrification, especially for short-haul operations. Technological advancements and policy support are improving the outlook for heavy-duty truck electrification in the United States. Short-haul operations are early candidates for plug-in electric vehicles.
Article
Environmental Sciences
Florian Leblanc, Ruben Bibas, Silvana Mima, Matteo Muratori, Shogo Sakamoto, Fuminori Sano, Nico Bauer, Vassilis Daioglou, Shinichiro Fujimori, Matthew J. Gidden, Estsushi Kato, Steven K. Rose, Junichi Tsutsui, Detlef P. van Vuuren, John Weyant, Marshall Wise
Summary: The paper highlights the potential of bioenergy to reduce transport GHG emissions, although it may not be the dominant solution. Lignocellulosic fuels could play a significant role in decarbonizing transportation sector, but the limited biomass supply and uncertainties in allocation to and within the sector are key factors affecting the use of biofuels in transport.
Review
Chemistry, Multidisciplinary
Muhammad Bashar Anwar, Matteo Muratori, Paige Jadun, Elaine Hale, Brian Bush, Paul Denholm, Ookie Ma, Kara Podkaminer
Summary: Driven by technological progress and increasing focus on sustainability, the adoption of electric vehicles (EVs) is rising. Unmanaged EV charging can strain grid infrastructure, while managed charging offers benefits for power system planning and operations.
ENERGY & ENVIRONMENTAL SCIENCE
(2022)
Article
Economics
Catherine Ledna, Matteo Muratori, Aaron Brooker, Eric Wood, David Greene
Summary: Supporting the adoption of zero-emission vehicles, particularly electric vehicles, is a priority for governments due to their potential to reduce petroleum demand, improve air quality, and lower carbon emissions. This study uses a consumer choice model to simulate vehicle adoption and emissions in California, and demonstrates the effectiveness of public charging infrastructure and vehicle purchase subsidies in promoting EV sales and reducing CO2 emissions under different scenarios.
Article
Chemistry, Multidisciplinary
Wilson Perez, Punit Tulpule, Shawn Midlam-Mohler, Giorgio Rizzoni
Summary: This paper presents a look-ahead predictive energy management strategy that combines approximate dynamic programming and an adaptive equivalent consumption minimization strategy. It obtains a near-optimal solution to control the power flow through a vehicle's powertrain. Additionally, by using an artificial neural network to adapt the equivalence factor, it improves fuel economy and enables online implementation of the energy management strategy (EMS).
APPLIED SCIENCES-BASEL
(2022)
Article
Energy & Fuels
Kaveh Khodadadi Sadabadi, Prashanth Ramesh, Yann Guezennec, Giorgio Rizzoni
Summary: While PbA batteries still dominate the low voltage automotive applications market, their shortcomings in terms of low cycle life and rapid health degradation necessitate the exploration of alternative chemistries. This paper investigates an LTO||NMC battery module for 12V applications and develops an effective battery monitoring algorithm by employing a reduced order enhanced single particle model and a multi-stage optimization process.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Engineering, Electrical & Electronic
Ye Cheng, Matilde D'Arpino, Giorgio Rizzoni
Summary: This article investigates the diagnostic issues of energy storage systems in the electrification project of commercial aircraft. The placement of sensors for the battery management system is determined using structural analysis, and the impact of different measurements on the monitoring and diagnosis of battery systems is studied. The research findings can provide reliability assurance for battery systems.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2022)
Proceedings Paper
Engineering, Aerospace
Ye Cheng, Matilde D'Arpino, Giorgio Rizzoni
2022 IEEE/AIAA TRANSPORTATION ELECTRIFICATION CONFERENCE AND ELECTRIC AIRCRAFT TECHNOLOGIES SYMPOSIUM (ITEC+EATS 2022)
(2022)
Proceedings Paper
Engineering, Electrical & Electronic
Ye Cheng, Francesco Porpora, Matilde D'Arpino, Giorgio Rizzoni
Summary: The design of battery packs for complex energy storage systems involves various aspects such as cell arrangement, sensing topology and position, fault diagnostic capability, cooling system, and electronic hardware. While design parameters may change with different battery pack architectures, it is important to ensure system reliability while also minimizing costs.
2021 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE & EXPO (ITEC)
(2021)
Review
Energy & Fuels
Matteo Muratori, Marcus Alexander, Doug Arent, Morgan Bazilian, Pierpaolo Cazzola, Ercan M. Dede, John Farrell, Chris Gearhart, David Greene, Alan Jenn, Matthew Keyser, Timothy Lipman, Sreekant Narumanchi, Ahmad Pesaran, Ramteen Sioshansi, Emilia Suomalainen, Gil Tal, Kevin Walkowicz, Jacob Ward
Summary: Electric vehicles (EVs) have gained popularity in recent years due to matured technology, reduced costs, and increased support for clean transportation. A substantial body of literature has explored the role of EVs in transportation and energy systems. This comprehensive review provides insights into various aspects of EVs and their future projections.
PROGRESS IN ENERGY
(2021)
Article
Thermodynamics
Yong Cheng, Fukai Song, Lei Fu, Saishuai Dai, Zhiming Yuan, Atilla Incecik
Summary: This paper investigates the accessibility of wave energy absorption by a dual-pontoon floating breakwater integrated with hybrid-type wave energy converters (WECs) and proposes a hydraulic-pneumatic complementary energy extraction method. The performance of the system is validated through experiments and comparative analysis.
Article
Thermodynamics
Jing Gao, Chao Wang, Zhanwu Wang, Jin Lin, Runkai Zhang, Xin Wu, Guangyin Xu, Zhenfeng Wang
Summary: This study aims to establish a new integrated method for biomass cogeneration project site selection, with a focus on the application of the model in Henan Province. By integrating Geographic Information System and Multiple Criterion Decision Making methods, the study conducts site selection in two stages, providing a theoretical reference for the construction of biomass cogeneration projects.
Article
Thermodynamics
Mert Temiz, Ibrahim Dincer
Summary: The current study presents a hybrid small modular nuclear reactor and solar-based system for sustainable communities, integrating floating and bifacial photovoltaic arrays with a small modular reactor. The system efficiently generates power, hydrogen, ammonia, freshwater, and heat for residential, agricultural, and aquaculture facilities. Thermodynamic analysis shows high energy and exergy efficiencies, as well as large-scale ammonia production meeting the needs of metropolitan areas. The hybridization of nuclear and solar technologies offers advantages of reliability, environmental friendliness, and cost efficiency compared to renewable-alone and fossil-based systems.
Editorial Material
Thermodynamics
Wojciech Stanek, Wojciech Adamczyk
Article
Thermodynamics
Desheng Xu, Yanfeng Li, Tianmei Du, Hua Zhong, Youbo Huang, Lei Li, Xiangling Duanmu
Summary: This study investigates the optimization of hybrid mechanical-natural ventilation for smoke control in complex metro stations. The results show that atrium fires are more significantly impacted by outdoor temperature variations compared to concourse/platform fires. The gathered high-temperature smoke inside the atrium can reach up to 900 K under a 5 MW train fire energy release. The findings provide crucial engineering insights into integrating weather data and adaptable ventilation protocols for smoke prevention/mitigation.
Article
Thermodynamics
Da Guo, Heping Xie, Mingzhong Gao, Jianan Li, Zhiqiang He, Ling Chen, Cong Li, Le Zhao, Dingming Wang, Yiwei Zhang, Xin Fang, Guikang Liu, Zhongya Zhou, Lin Dai
Summary: This study proposes a new in-situ pressure-preserved coring tool and elaborates its pressure-preserving mechanism. The experimental and field test results demonstrate that this tool has a high pressure-preservation capability and can maintain a stable pressure in deep wells. This study provides a theoretical framework and design standards for the development of similar technologies.
Article
Thermodynamics
Aolin Lai, Qunwei Wang
Summary: This study assesses the impact of China's de-capacity policy on renewable energy development efficiency (REDE) using the Global-MSBM model and the difference-in-differences method. The findings indicate that the policy significantly enhances REDE, promoting technological advancements and marketization. Moreover, regions with stricter environmental regulations experience a higher impact.
Article
Thermodynamics
Mostafa Ghasemi, Hegazy Rezk
Summary: This study utilizes fuzzy modeling and optimization to enhance the performance of microbial fuel cells (MFCs). By simulating and analyzing experimental data sets, the ideal parameter values for increasing power density, COD elimination, and coulombic efficiency were determined. The results demonstrate that the fuzzy model and optimization methods can significantly improve the performance of MFCs.
Article
Thermodynamics
Zhang Ruan, Lianzhong Huang, Kai Wang, Ranqi Ma, Zhongyi Wang, Rui Zhang, Haoyang Zhao, Cong Wang
Summary: This paper proposes a grey box model for fuel consumption prediction of wing-diesel hybrid vessels based on feature construction. By using both parallel and series grey box modeling methods and six machine learning algorithms, twelve combinations of prediction models are established. A feature construction method based on the aerodynamic performance of the wing and the energy relationship of the hybrid system is introduced. The best combination is obtained by considering the root mean square error, and it shows improved accuracy compared to the white box model. The proposed grey box model can accurately predict the daily fuel consumption of wing-diesel hybrid vessels, contributing to operational optimization and the greenization and decarbonization of the shipping industry.
Article
Thermodynamics
Huayi Chang, Nico Heerink, Junbiao Zhang, Ke He
Summary: This study examines the interaction between off-farm employment decisions between couples and household clean energy consumption in rural China, and finds that two-paycheck households are more likely to consume clean energy. The off-farm employment of women is a key factor driving household clean energy consumption to a higher level, with wage-employed wives having a stronger influence on these decisions than self-employed ones.
Article
Thermodynamics
Hanguan Wen, Xiufeng Liu, Ming Yang, Bo Lei, Xu Cheng, Zhe Chen
Summary: Demand-side management is crucial to smart energy systems. This paper proposes a data-driven approach to understand the relationship between energy consumption patterns and household characteristics for better DSM services. The proposed method uses a clustering algorithm to generate optimal customer groups for DSM and a deep learning model for training. The model can predict the possibility of DSM membership for a given household. The results demonstrate the usefulness of weekly energy consumption data and household socio-demographic information for distinguishing consumer groups and the potential for targeted DSM strategies.
Article
Thermodynamics
Xinglan Hou, Xiuping Zhong, Shuaishuai Nie, Yafei Wang, Guigang Tu, Yingrui Ma, Kunyan Liu, Chen Chen
Summary: This study explores the feasibility of utilizing a multi-level horizontal branch well heat recovery system in the Qiabuqia geothermal field. The research systematically investigates the effects of various engineering parameters on production temperature, establishes mathematical models to describe their relationships, and evaluates the economic viability of the system. The findings demonstrate the significant economic feasibility of the multi-level branch well system.
Article
Thermodynamics
Longxin Zhang, Songtao Wang, Site Hu
Summary: This investigation reveals the influence of tip leakage flow on the modern transonic rotor and finds that the increase of tip clearance size leads to a decline in rotor performance. However, an optimal tip clearance size can extend the rotor's stall margin.
Article
Thermodynamics
Kristian Gjoka, Behzad Rismanchi, Robert H. Crawford
Summary: This paper proposes a framework for assessing the performance of 5GDHC systems and demonstrates it through a case study in a university campus in Melbourne, Australia. The results show that 5GDHC systems are a cost-effective and environmentally viable solution in mild climates, and their successful implementation in Australia can create new market opportunities and potential adoption in other countries with similar climatic conditions.
Article
Thermodynamics
Jianwei Li, Guotai Wang, Panpan Yang, Yongshuang Wen, Leian Zhang, Rujun Song, Chengwei Hou
Summary: This study proposes an orientation-adaptive electromagnetic energy harvester by introducing a rotatable bluff body, which allows for self-regulation to cater for changing wind flow direction. Experimental results show that the output power of the energy harvester can be greatly enhanced with increased rotatory inertia of the rotating bluff body, providing a promising solution for harnessing wind-induced vibration energy.
