Article
Computer Science, Information Systems
Yuxiao Liang, Zhishang Wang, Abderazek Ben Abdallah
Summary: This article presents a blockchain-based energy trading system using the vehicle-to-grid (V2G) network and proposes a robust energy trading algorithm to address malicious attacks in energy trading. Experimental results show that the system is highly robust to attacks and achieves better energy utilization and profit compared to existing approaches.
Article
Green & Sustainable Science & Technology
Neil Stephen Lopez, Lew Andrew Tria, Leo Allen Tayo, Rovinna Janel Cruzate, Carlos Oppus, Paul Cabacungan, Igmedio Isla, Arjun Ansay, Teodinis Garcia, Kevien Cabarrubias-Dela Cruz, Jose Bienvenido Manuel Biona
Summary: Countries globally are committed to deploying electric vehicles on a large scale within the decade, despite the high costs associated with early stage deployments. Research suggests that electric vehicles can achieve societal cost-benefit parity with internal combustion vehicles within the next decade.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Agronomy
Tong Guang Ji, Ali Raza, Usman Akbar, Masood Ahmed, Jozsef Popp, Judit Olah
Summary: This study applies the weighted slack-based measurement (SBM-DEA) program to assess agricultural performance in developing countries, determining optimal efficiency through marginal trade-offs on output variables.
Article
Green & Sustainable Science & Technology
Ehsan Azad-Farsani, Saeed Abedini, Iman Goroohi Sardou
Summary: The existing models for coordinating plug-in electric vehicles (PEV) based on uniform price methods neglect important network operation indexes and do not efficiently coordinate with distributed generations (DG). This paper introduces a new viewpoint based on locational marginal price (LMP) for effective coordination of PEVs and DGs in electricity day-ahead markets.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Md Rayid Hasan Mojumder, Fahmida Ahmed Antara, Md Hasanuzzaman, Basem Alamri, Mohammad Alsharef
Summary: This study focuses on the challenges and opportunities of V2G implementation worldwide, highlighting the gaps in research within the V2G domain. It covers the opportunities, policies, and business models of V2G, the technology overview, challenges associated with V2G on the power grid and vehicle batteries, and potential solutions. It also discusses significant challenges such as the lack of a concrete V2G business model, stakeholders and government incentives, burden on EV batteries, deficiency of bidirectional battery charger units, injection of harmonics to the power grid, and uneconomical V2G practices. Recent research and international agency reports provide possible solutions and highlight the need for further research to fully realize the potential of V2G.
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
Engineering, Environmental
Lina Wu, Amin Elshorbagy, Saket Pande, La Zhuo
Summary: The interactions between water, energy, and food systems bring about trade-offs and synergies under different decisions and policies. The WEF-Sask model reveals the impacts of different decisions on water, energy, and food sectors, providing scenario analysis for integrated resources management.
RESOURCES CONSERVATION AND RECYCLING
(2021)
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
Computer Science, Interdisciplinary Applications
Athanasios Aris Panagopoulos, Filippos Christianos, Michail Katsigiannis, Konstantinos Mykoniatis, Georgios Chalkiadakis, Marco Pritoni, Therese Peffer, Orestis P. Panagopoulos, Emmanouil S. Rigas, David E. Culler, Nicholas R. Jennings, Timothy Lipman
Summary: This study proposes an intelligent PEV charging scheduling system that takes into account time-varying tariffs, peak demand charges, and export tariffs, while considering the energy consumption of buildings and intermittent energy resource generation. The approach, based on adaptive model predictive control and a depth-first-search-based charging planning algorithm, demonstrates a cost reduction of approximately 5% and 35% in the United States and the United Kingdom domestic settings, respectively, compared to standard PEV charging practices.
SIMULATION MODELLING PRACTICE AND THEORY
(2022)
Article
Green & Sustainable Science & Technology
Xiaopeng Guo, Yue Sun, Dongfang Ren
Summary: Electric vehicles play a crucial role in energy transition and low-carbon development. Evaluating their energy-saving emissions and cost-effectiveness is crucial. This paper establishes a life cycle carbon emission model and cost model, and combines them with emission inventory and calculated costs to establish a marginal emission reduction cost model. The results show that electric vehicles reduce 47% of life-cycle carbon emissions, mainly in the utilization phase; electric vehicles have lower emission and usage costs, but still cannot compensate for the higher initial purchase costs compared to gasoline vehicles; under current conditions, electric vehicles have higher marginal abatement costs affected by various factors, but with potential for decline; when gasoline prices exceed 9.8 CNY/L (1.372 USD/L), the abatement costs of electric vehicles become negative, making them an effective option for energy saving and emission reduction.
ENERGY FOR SUSTAINABLE DEVELOPMENT
(2023)
Article
Environmental Sciences
Wai Ming Cheung
Summary: The UK plans to ban the sale of new diesel and petrol cars by 2030 and replace them with electric vehicles (EVs). However, there are concerns about whether the country's electrical grid infrastructure is ready for this shift. This comparative study examines the impact of green vehicles in the UK on the electrical grid and offers insights on improving their energy demand and carbon dioxide (CO2) emissions. The findings indicate that the overall effect on annual energy consumption may appear minimal even with a high market penetration of EVs. However, the impact on the electrical grid depends on the charging times of EVs. Therefore, measures should be implemented to control EV charging times to manage daily electricity and energy demands. While the introduction of EVs reduces CO2 emissions by replacing petrol and diesel cars, the reduction in CO2 emissions will diminish as the number of EVs in the electrical grid increases. To further reduce CO2 emissions, it is crucial to minimize the use of high-carbon fossil fuels for electricity generation in the grid.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Chemistry, Physical
Meiye Wang, Michael T. Craig
Summary: Vehicle-to-grid (V2G) technology can increase electric vehicle (EV) revenues and grid flexibility, with V2G-enabled EVs generating $32-$48 more annual net revenues compared to smart-charging EVs. Future V2G revenues may decrease, highlighting the importance of a co-optimization framework.
JOURNAL OF POWER SOURCES
(2021)
Article
Engineering, Environmental
Xiaojing Ni, Xiangfeng Huang, Ru Guo, Jinhui Wang, Kaiming Peng, Wei Zhang, Yuyu Zhu, Weilan Yang, Liya Wang, Chen Cai, Jia Liu, Erwu Liu
Summary: This study proposes a new approach to explore the water-energy-carbon (WEC) nexus of wastewater treatment plants (WWTPs) using a Water-Energy-Carbon Coupling Index (WECCI) and a four-quadrant clustering (FQC) method. The analysis of operational data from a WWTP in southern China reveals that the WECCI increased after the first standard upgrade and decreased after the second standard upgrade, indicating unexpected changes in overall performance. The FQC method shows that a majority of the operation data are concentrated in the WEC best synergy zone after the first standard upgrade, while a significant percentage are concentrated in the low carbon trade-off zone after the second standard upgrade. These findings highlight the importance of WECCI and FQC as tools for quantitatively assessing the integrated performance of WWTPs and understanding the complex WEC mechanisms, facilitating the transition of WWTPs towards carbon neutrality.
RESOURCES CONSERVATION AND RECYCLING
(2023)
Article
Environmental Studies
Ali Hussain Umar Bhatti, Syed Ali Abbas Kazmi, Asad Tariq, Ghulam Ali
Summary: A real-world urban driving cycle with road slope profile was developed for the hilly urban terrain of Islamabad city. A hybrid data collection methodology was adopted, along with the Markov chain Monte Carlo method for construction. Results indicate that considering road slope profile has significant impacts on powertrain simulation.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2021)
Article
Thermodynamics
Yusak Tanoto
Summary: This study explores the planning and utilization of grid-connected rooftop photovoltaic systems in emerging economies, considering the trade-offs between cost and reliability. The findings suggest that the capacity of the photovoltaic systems and billing deduction factors impact the system's cost and unserved energy. It is shown that maximizing the photovoltaic capacity results in lower costs for the system.
Article
Chemistry, Physical
Amgad Elgowainy, Krishna Reddi, Dong-Yeon Lee, Neha Rustagi, Erika Gupta
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2017)
Article
Energy & Fuels
Amelia Musselman, Valerie M. Thomas, Natashia Boland, Dima Nazzal
Article
Economics
Jan Moellmann, Valerie M. Thomas
SOCIO-ECONOMIC PLANNING SCIENCES
(2019)
Article
Energy & Fuels
Marilyn A. Brown, Alice Favero, Valerie M. Thomas, Aline Banboukian
Article
Engineering, Manufacturing
Dong Gu Choi, Michael K. Lim, Karthik Murali, Valerie M. Thomas
PRODUCTION AND OPERATIONS MANAGEMENT
(2020)
Article
Green & Sustainable Science & Technology
Katundu Imasiku, Valerie M. Thomas, Etienne Ntagwirumugara
Article
Biotechnology & Applied Microbiology
Pratham Arora, Ronald R. Chance, Teresa Fishbeck, Howard Hendrix, Matthew J. Realff, Valerie M. Thomas, Yanhui Yuan
BIOFUELS BIOPRODUCTS & BIOREFINING-BIOFPR
(2020)
Article
Chemistry, Multidisciplinary
Andrew W. Tricker, Michael J. Stellato, Thomas T. Kwok, Nicholas S. Kruyer, Zhongzhen Wang, Sankar Nair, Valerie M. Thomas, Matthew J. Realff, Andreas S. Bommarius, Carsten Sievers
Article
Green & Sustainable Science & Technology
Katundu Imasiku, Valerie M. Thomas
Article
Engineering, Environmental
Osvaldo A. Broesicke, Junchen Yan, Valerie M. Thomas, Emily Grubert, Sybil Derrible, John C. Crittenden
Summary: This study compares the environmental impacts of a centralized natural gas combined cycle (NGCC) and a distributed natural gas-fired combined heat and power (CHP) energy system in the United States. The results show that decentralized CHP systems generally increase greenhouse gas emissions, decrease conventional air pollutants emissions, and decrease natural gas consumption, but only fuel-cell CHPs are able to simultaneously reduce emissions and consumption, and are compatible with decarbonized energy systems.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2021)
Article
Chemistry, Multidisciplinary
Serife E. Can Sener, Valerie M. Thomas, David E. Hogan, Raina M. Maier, Michael Carbajales-Dale, Mark D. Barton, Tanju Karanfil, John C. Crittenden, Gary L. Amy
Summary: The study explores the feasibility of extracting critical metals from U.S. saline aqueous sources as an alternative to hardrock ore mining, with a focus on reducing environmental impact and improving domestic manufacturing capabilities. The research identifies potential aqueous sources and processes for recovery of metals, highlighting the potential for decreasing reliance on international supply chains.
ACS SUSTAINABLE CHEMISTRY & ENGINEERING
(2021)
Article
Chemistry, Multidisciplinary
Pratham Arora, Ronald R. Chance, Howard Hendrix, Matthew J. Realff, Valerie M. Thomas, Yanhui Yuan
Summary: Refined bio-crude production from hydrothermal liquefaction of algae has the potential to replace fossil-based liquid fuels, with microalgae acting as natural carbon sequestrators. However, the release of absorbed CO2 during combustion impacts the life-cycle greenhouse gas emissions of bio-crude. The study compares different CO2 supply scenarios and presents the potential GHG reductions associated with biomass-based power plants and direct air capture processes.
APPLIED SCIENCES-BASEL
(2021)
Article
Chemistry, Multidisciplinary
Cindy G. Azuero-Pedraza, Valerie M. Thomas, Wesley W. Ingwersen
Summary: This methodology introduces a way to incorporate new technologies into environmentally extended input-output models by assuming partial substitution of new commodities for existing ones to evaluate environmental impacts.
APPLIED SCIENCES-BASEL
(2022)
Article
Energy & Fuels
Amelia Musselman, Valerie M. Thomas, Dima Nazzal, Dimitri J. Papageorgiou, Aranya Venkatesh, Dharik S. Mallapragada
Summary: Sub-Saharan Africa faces unique barriers to electricity development due to a large proportion of un-electrified population and prevalence of rural areas. A multi-period optimization model was developed to consider the impact of different electrification policies on power system expansion, and the study found that varying the electrification rate and policy has a significant impact on cost and resource selection, with more rooftop solar being built when urban and rural areas are treated equitably.
ENERGY SYSTEMS-OPTIMIZATION MODELING SIMULATION AND ECONOMIC ASPECTS
(2022)
Article
Management
Katundu Imasiku, Valerie Thomas, Etienne Ntagwirumugara
ADMINISTRATIVE SCIENCES
(2019)
Article
Green & Sustainable Science & Technology
Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad
Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang
Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu
Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang
Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He
Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.
JOURNAL OF CLEANER PRODUCTION
(2024)