Article
Engineering, Electrical & Electronic
Yanni Wan, Jiahu Qin, Fangyuan Li, Xinghuo Yu, Yu Kang
Summary: This article investigates the charging problem of plug-in electric vehicles in a smart charging station under a new interaction mechanism. It proposes a non-cooperative game framework and a distributed algorithm to coordinate the charging strategies of PEVs, aiming to minimize the energy cost of the station. Simulation results validate the effectiveness of the proposed approach.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Energy & Fuels
Ahmet Mandev, Patrick Plotz, Frances Sprei, Gil Tal
Summary: This study investigated the charging behavior of plug-in hybrid electric vehicles (PHEV) and found that most users do not charge their vehicles overnight and engage in additional charging on 20-26% of driving days. The study also indicated that the utility factor should not be the sole measure of PHEV environmental performance.
Article
Energy & Fuels
Ahmet Mandev, Patrick Ploetz, Frances Sprei, Gil Tal
Summary: The study investigated the daily charging behavior of over 10,000 Chevrolet Volt PHEVs and found that a percentage of users do not charge overnight, while additional charging occurs on 20-26% of driving days. It also concluded that the utility factor should not be the sole measure of environmental performance for PHEVs.
Article
Green & Sustainable Science & Technology
M. A. Hannan, M. S. Q. Mollik, Ali Al-Shetwi, S. A. Rahman, M. Mansor, R. A. Begum, K. M. Muttaqi, Z. Y. Dong
Summary: This paper discusses the opportunities, challenges, and technologies of EVs in a V2G connecting system, and comprehensively reviews the V2G topologies, operations, and control systems.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Environmental Studies
Polina Alexeenko, Eilyan Bitar
Summary: We conducted a real-world pilot study to investigate a new pricing and control mechanism for coordinating residential EV charging loads. The mechanism offers EV owners a range of pricing options based on their willingness to delay their charging completion times. By optimizing the real-time power drawn by EVs, a smart charging system minimizes strain on the grid while ensuring all EVs are charged by user-requested deadlines. Our findings show that, on average, customers were willing to delay their charging by over eight hours, allowing the smart charging system to flatten the aggregate load curve and eliminate demand spikes. Importantly, customer participation rates remained stable throughout the study, indicating the viability of this mechanism as a non-wires alternative to meet the increasing electricity demand from EVs.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2023)
Article
Energy & Fuels
S. J. Sultanuddin, R. Vibin, A. Rajesh Kumar, Nihar Ranjan Behera, M. Jahir Pasha, K. K. Baseer
Summary: Electric vehicles (EV) have become the preferred option in transportation due to their environmental and energy sustainability. However, uncontrolled EV charging can increase consumer costs and overload the grid. This research proposes an improved reinforcement learning charging management system to prevent grid overload. Under realistic operating conditions, the proposed approach provides an adjustable, scalable, and flexible strategy for an electric car fleet. Compared to an uncontrolled charging strategy, the proposed reinforcement learning technique reduces the variance of the overall load by 68%.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Green & Sustainable Science & Technology
Ali-Mohammad Hariri, Maryam A. Hejazi, Hamed Hashemi-Dezaki
Summary: This article introduces a new analytical model to determine the appropriate number of PHEVs states while ensuring speed and accuracy of reliability calculations. It also studies the impacts of various stochastic parameters on the adequacy evaluation of PHEVs, and achieves positive results in an actual electric distribution network.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Energy & Fuels
B. T. Geetha, A. Prakash, S. Jeyasudha, K. P. Dinakaran
Summary: This manuscript proposes a hybrid EOO-QNN method for the combined allocation of EVCS and capacitors in DS. The EOO-QNN algorithm aims to control the capacitors to maintain voltage-profile, increase net gain, and minimize power loss. The method is compared with existing methods, and it shows better results in all approaches.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Thermodynamics
Jonatas Augusto Manzolli, Joao Pedro F. Trovao, Carlos Henggeler Antunes
Summary: This study developed an optimization model to handle the charging schedule of electric bus fleets, aiming to minimize charging costs and consider battery degradation and energy trading. Through a real-world case study and sensitivity analysis, it was found that selling energy back to the grid may be economically attractive under certain charging cost conditions, and operation costs could be reduced by 38%.
Article
Chemistry, Analytical
Ming Ye, Jing Chen, Xu Li, Kai Ma, Yonggang Liu
Summary: A new energy management control strategy based on V2X communication was proposed to dynamically adjust engine and motor power output for vehicle speed prediction. The study utilized deep learning algorithm to model vehicle speed prediction and validated the proposed strategy with a plug-in hybrid vehicle model simulation, showing improvements in vehicle energy economy and reduced CO2 emissions.
Article
Computer Science, Artificial Intelligence
Zhenzhong Wang, Kai Ye, Min Jiang, Junfeng Yao, Neal N. Xiong, Gary G. Yen
Summary: This study proposes a framework to reuse knee points in a new environment to address the Dynamic Vehicle Routing Problem based on Hybrid Charging Strategy. Reusing knee points helps generate a better initial population and brings convenience to decision makers.
SWARM AND EVOLUTIONARY COMPUTATION
(2022)
Article
Computer Science, Information Systems
Ijaz Ahmed, Muhammad Rehan, Abdul Basit, Muhammad Tufail, Keum-Shik Hong
Summary: Due to the depletion of natural resources and rising pollutant emissions, green transportation has become a top priority. Plug-in electric vehicles (PEVs) are considered a solution as they are cost and environmentally friendly. This paper proposes an optimal strategy based on evolutionary computing to address the challenge of self-interested PEVs in power grids. The proposed approach considers different charging scenarios and aims to achieve optimal cost and demand for the vehicle-to-grid capacity.
Article
Energy & Fuels
Bijan Bibak, Lihui Bai
Summary: Recently, the migration from internal combustion cars to electric vehicles (EVs) has gained attention as a viable solution for energy sustainability. However, the short lifespan of EV batteries poses a challenge. This paper proposes an optimal model for a commercial and industrial electric fleet system to reduce total electricity costs by coordinating various energy sources and usage.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2023)
Article
Chemistry, Multidisciplinary
Theron Smith, Joseph Garcia, Gregory Washington
Summary: The ARVF algorithm is an efficient real-time PEV charging control method that utilizes fuzzy logic to adjust charging rates. Research demonstrates that when there is a significant deviation between forecasted and actual baseloads, the real-time capability of ARVF is more advantageous.
APPLIED SCIENCES-BASEL
(2021)
Article
Automation & Control Systems
Satadru Dey, Munmun Khanra
Summary: This article addresses the cybersecurity challenges associated with the large scale deployment of plug-in electric vehicles (PEVs) by exploring control-oriented approaches. Two algorithms for detecting cyberattacks on PEV battery packs during charging are discussed, including a static detector and a dynamic detector. A filter-based design approach for the dynamic detector is proposed to consider stability, robustness, and attack sensitivity as multiobjective criteria. Theoretical analysis and simulation studies show the effectiveness of the algorithms in detecting denial-of-charging (DoC) and overcharging attacks, indicating the superiority of the dynamic detector.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Economics
Marie-Louise Arlt, David Chassin, Claudio Rivetta, James Sweeney
Summary: This paper examines the impact of real-time pricing and load automation on residential distribution systems. The study finds that implementing real-time pricing can result in an aggregate welfare gain of 39 USD per customer and year. However, it also notes that RTP and load automation may significantly increase peak system load. Introducing a market-based demand management system can further enhance welfare gains and reduce grid investment.
Article
Economics
Javier Jorquera-Copier, Alvaro Lorca, Enzo Sauma, Stefan Lorenczik, Matias Negrete-Pincetic
Summary: As countries update their climate ambitions, low-carbon hydrogen production and use present opportunities for emissions reductions and economic development. A case study for Chile shows that integrating hydrogen and electricity networks can lower system costs and enhance renewable integration, but policy support is needed to address concerns related to water and land use.
Article
Economics
Dawit Guta, Hisham Zerriffi, Jill Baumgartner, Abhishek Jain, Sunil Mani, Darby Jack, Ellison Carter, Guofeng Shen, Jennifer Orgill-Meyer, Joshua Rosenthal, Katherine Dickinson, Rob Bailis, Yuta Masuda
Summary: Household solid fuel use is detrimental to health and the environment. The Indian government's PMUY subsidy has successfully promoted the adoption of LPG by millions of households. However, there is limited understanding of the decision-making process to reduce solid fuel use after transitioning to cleaner fuels. This study found that factors such as household wealth, social status, education level, and the prevalence of LPG use in the village are positively associated with LPG consumption and the discontinuation of solid fuel use. On the other hand, factors such as distance to LPG refill delivery, household size, and the PMUY subsidy are negatively associated with the share of LPG use.
Article
Economics
Nicolas Morell-Dameto, Jose Pablo Chaves-Avila, Tomas Gomez San Roman, Pablo Duenas-Martinez, Tim Schittekatte
Summary: This paper assesses the performance of differently implemented forward-looking network tariff designs and proposes an innovative coordination mechanism to increase predictability in a future with many flexible customers. The study reveals that if large shares of customers synchronize their responses to highly time-varying and locational-specific network charges, it can lead to unexpected reinforcements.
Article
Economics
Alexandra Gritz, Guntram Wolff
Summary: Russia's weaponization of gas supplies shook the energy security of Central and Eastern Europe in 2022. The region responded by increasing alternative energy supplies and developing new gas supply routes. Renewable energy, nuclear energy, and hydrogen play important roles in the long-term. Mitigating the impact of this shock requires the EU to prioritize the integrity of its energy market.
Article
Economics
Jaroslaw Kantorowicz, Marion Collewet, Matthew DiGiuseppe, Hendrik Vrijburg
Summary: Economic costs are a major political obstacle to investing in climate change mitigation and adaptation measures. The method of financing plays a crucial role in determining public opposition to government green investments, with debt financing being less opposed than broad-based taxes. This study suggests that credit market tools, such as green bonds and debt for climate swaps, can be politically efficient in increasing support for green financing. Carbon taxes and wealth taxes are found to be the most preferred options.
Article
Economics
Kun Guo, Liyuan Luan, Xiaoli Cai, Dayong Zhang, Qiang Ji
Summary: This paper investigates China's energy trade stability using a survival analysis approach. It finds that the energy trade linkages between China and 153 other countries are complex and unstable, with short periods of trade with many countries. Geopolitically risky regions, such as the Middle East and Africa, have the lowest trade stability. Climate risks have significant effects on energy trade stability. The paper proposes several policy options to improve energy trade stability in China, with special attention to increasing global climate risks.
Article
Economics
Simona Bigerna, Piyush Choudhary, Nikunj Kumar Jain, Silvia Micheli, Paolo Polinori
Summary: This study estimates the willingness to pay of Indian urban consumers for a continuous supply of electricity using contingent valuation method. The findings show that the amount consumers are willing to pay depends on the duration of power outages, with households preferring shorter outages. Income and environmental attitude also positively influence higher willingness to pay. These insights can inform policymakers in designing more reliable and customer-centric energy generation and distribution models.
Article
Economics
Temilade Sesan, Unico Uduka, Lucy Baker, Okechukwu Ugwu, Ewah Eleri, Subhes Bhattacharyya
Summary: This study examines the impact of the regulatory framework on rural electrification and universal energy access goals in Nigeria's mini-grid sector. The findings suggest that while the current framework has fostered sector growth, additional measures are necessary to ensure equitable distribution of access among rural populations.
Article
Economics
Rui Shan, Noah Kittner
Summary: Energy storage is a cornerstone in decarbonization planning as it reduces operational costs and greenhouse gas emissions, while enhancing resilience and renewables integration. However, storage developers in different regions have varying economic and environmental considerations, thereby requiring policy intervention to achieve long-term emission reductions.
Article
Economics
Tung Durmaz, Sevil Acar, Simay Kizilkaya
Summary: This study investigates the phenomenon of strategic capacity withholding in the Turkish electricity market and its relationship with the capacity remuneration mechanism. The empirical results provide strong evidence of strategic capacity withholding and show that the capacity mechanism contributes to the duration of failures. The study offers important insights for policymakers, including the implementation of a random verification mechanism and restructuring of the capacity mechanism in Turkey.
Article
Economics
Tii N. Nchofoung
Summary: The study finds that oil price shocks have a negative impact on Africa's energy transition, particularly in rural areas and net crude oil exporting countries. However, oil price shocks cannot explain the urban-rural differences in clean energy access. Therefore, increasing investment in clean energy and technologies in rural areas is necessary to enhance the resilience of the energy sector to oil price shocks.
Article
Economics
Najia Saqib, Muhammad Usman, Ilhan Ozturk, Arshian Sharif
Summary: This study examines the impact of environmental technologies, financial growth, and energy use on ecological footprint and green growth. Environmental innovation and renewable energy deployment contribute to green growth, while financial expansion and non-renewable energy use have negative effects on the environment. The study also identifies causal relationships between different factors.
Article
Economics
Yessica C. Y. Chung, Noxolo Kunene, Hung-Hao Chang
Summary: The Renewable Energy Certificate (REC) is considered an innovative technology for building a green society. This study investigates the impact of REC purchases on stock return and volume in Taiwan between 2017 and 2021. The findings suggest that REC purchases have a positive effect on stock returns of manufacturing firms but not service firms. The frequency of REC purchases is also an important factor in the relationship between REC purchase and firm value. Additionally, the study reveals that public attention to environmental pollution plays a crucial role in positive stock returns and volume, while ESG disclosure is negatively associated with returns and volume.
Article
Economics
Seife Ayele, Wei Shen, Yacob Mulugetta, Tadesse Kuma Worako
Summary: This paper addresses the challenges of governing energy procurement from a mix of non-hydropower renewable energy sources supplied by independent producers. Building on political economy analysis and five case studies of independent producer projects from Ethiopia, it seeks to understand the root causes of the protracted delays and limited extent of procurement by independent producers. The key contestations lie in managing long term contracts, risk, uncertainty and in developing the institutional and human capacity to transition.