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)
Review
Energy & Fuels
Omid Sadeghian, Arman Oshnoei, Behnam Mohammadi-Ivatloo, Vahid Vahidinasab, Amjad Anvari-Moghaddam
Summary: This review paper discusses the benefits and challenges of EV smart charging (EVSC) from various perspectives, including the role of EV aggregators, charging methods and objectives, and the required infrastructure. The paper also examines the integration of EVSC in energy systems and the environmental benefits of smart green charging solutions. Important findings and recommendations are provided for researchers and policymakers.
JOURNAL OF ENERGY STORAGE
(2022)
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
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
Management
Long He, Guangrui Ma, Wei Qi, Xin Wang
Summary: The paper focuses on the challenge of charging electric vehicle (EV) sharing fleets and proposes strategies such as concentrating charger resources, proactive charging at the 40% recharge threshold, and ensuring sufficient charger availability when collaborating with public charger networks. The study aims to make EV sharing operations more viable and profitable by integrating charging infrastructure planning and vehicle repositioning operations, and highlights the importance of both operator-controlled charging operations and customers' EV-picking behavior.
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
(2021)
Article
Engineering, Civil
Tianyang Zhang, Xi Chen, Bin Wu, Mehmet Dedeoglu, Junshan Zhang, Ljiljana Trajkovic
Summary: This paper focuses on the interactions between electric vehicle fleets and charging stations/battery swapping stations, developing a stochastic model and deriving revenue boundaries through simulations. The findings are valuable for future studies in public transportation.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Energy & Fuels
Vincent Barthel, Jonas Schlund, Philipp Landes, Veronika Brandmeier, Marco Pruckner
Summary: This paper investigates the temporal and power-specific flexibility behavior of three different vehicle fleets: office employees, a public authority, and a logistics company. The analysis reveals that the logistics site has the highest charging flexibility and the most homogeneous charging profile, which is significant for future applications in smart charging and ancillary services provision.
Article
Transportation Science & Technology
Stephen D. Wong, Susan A. Shaheen, Elliot Martin, Robert Uyeki
Summary: Climate change and environmental problems have led to new strategies to reduce fossil fuel consumption in transportation, such as a rapid transition to green energy and the replacement of internal combustion vehicles with electric vehicles (EVs). However, the increasing demand for electricity by EVs, especially from time-dependent green sources, may overload the grid at peak hours. Smart charging programs for EVs can alleviate this issue, but little is known about people's willingness to participate in such programs.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
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
Environmental Studies
Xinlian Yu, Zihao Zhu, Haijun Mao, Mingzhuang Hua, Dawei Li, Jingxu Chen, Hongli Xu
Summary: In this study, an integrated modeling framework is developed to coordinate the matching, rebalancing, and charging of ride-hailing EVs, aiming to improve the ride-hailing system performance. Empirical experiments demonstrate the effectiveness of the proposed framework and provide managerial insights for promoting sustainable transportation.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2023)
Review
Energy & Fuels
Kamran Taghizad-Tavana, As'ad Alizadeh, Mohsen Ghanbari-Ghalehjoughi, Sayyad Nojavan
Summary: With the rapid expansion of electric vehicles, they are expected to be a major contributor to transportation. The increasing use of fossil fuels has led to greenhouse gas emissions, making it crucial to achieve sustainable transportation. Countries around the world are implementing long-term plans and policies to replace internal combustion vehicles with EVs and generate electricity using renewable energy sources, resulting in an increase in charging stations.
Article
Energy & Fuels
M. Secchi, G. Barchi, D. Macii, D. Petri
Summary: In this paper, an optimization algorithm is proposed to reduce the fluctuations in power supply and demand caused by the increasing penetration of EVs and PV generators. This algorithm achieves this by exploiting available PV power, shifting EV charging, and using vehicle-to-grid (V2G). The results of grid-level simulations show that this approach can decrease the net-load variance by up to 60% if no forecasting errors occur.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2023)
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
Transportation Science & Technology
Jinhua Ji, Yiming Bie, Linhong Wang
Summary: To address the shortage of charging facilities for electric cars (ECs) and maximize the utilization of charging facilities for electric buses (EBs), a charging facility sharing strategy is proposed. This strategy allows ECs to use EBs' charging piles for a fee during specific time windows. A nonlinear integer programming model is developed to determine the vehicle types allowed to be charged in each time window, allocate daily service trips and charging trips to each EB, and optimize the overall costs and revenues. An algorithm combining enumeration method and branch and price is used to solve the optimization model. The proposed method is verified using a real EB route, demonstrating its effectiveness in increasing revenue for public transit companies and facilitating EC charging without disrupting EB schedules.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Energy & Fuels
Islam Safak Bayram, Michael Devetsikiotis, Raka Jovanovic
Summary: This study aims to devise a closed-form expression for the plug-in electric vehicle charging station capacity problem and explores planning methods for two types of commercial charging stations. Through mathematical modeling and discrete-event simulations, it is found that optimal capacity planning can significantly reduce waiting times and queue lengths.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Engineering, Multidisciplinary
Jing Wu, Mengchu Song, Xinxin Zhang, Morten Lind
Summary: This paper proposes a principle that allows Multilevel Flow Modelling (MFM) to determine safeguards for hazardous events and introduces an analysis and classification of different types of safeguards at the functional level. By incorporating these safeguards into the MFM methodology, the application of computer aids in HAZOP studies can be enhanced.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY
(2023)
Article
Energy & Fuels
Andressa Pedro, Mikolaj Krutnik, Van Malcolm Yadack, Lucas Pereira, Hugo Morais
Summary: The increase of renewables and the plan to shut down coal-fired power plants in Europe will change power system operation rules. Small unit aggregators are expected to provide flexibility and balancing services in several European countries. This paper compares European market rules for small-scale flexibility, specifically focusing on the prequalification process for Balancing Service Providers to participate in Frequency Containment Reserve Services, and the needs of small-scale flexibility and balancing providers. Switzerland appears to have fewer entry barriers and more possibilities for case-to-case work, followed by Belgium and Germany. Portugal and Spain are developing their ancillary service markets and are expected to allow small-scale balancing providers to participate soon.
Article
Engineering, Electrical & Electronic
Hugo Morais
Summary: In this paper, an energy management system is proposed for parking lots, considering the optimization of a fairness index, low installed capacity, and low level of information exchanged between the electric vehicle and the parking energy management system. The proposed approach improves fairness in the charging process by modeling it as a mixed-integer linear programming problem and considering different types of contracts. The results show the suitability and fairness of the proposed methodology.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Article
Energy & Fuels
Herbert Amezquita, Pedro M. S. Carvalho, Hugo Morais
Summary: This study focuses on the development, implementation, and comparison of wind power generation forecast methods for distribution system operators. By applying a five-stage methodology including pre-processing, feature selection, forecasting models, post-processing, and validation, the accuracy of eight different models is compared using historical wind power generation data from 20 wind farms in Portugal. The extreme gradient boosting (XGBOOST) model is identified as the best-suited method, achieving an average relative root mean square error (RRMSE) of 13.48% for a 1-year training and 6-month forecast period, outperforming the predictions of the Portuguese distribution system operator by 20%.
Article
Energy & Fuels
Irvylle Cavalcante, Jamilson Junior, Jonatas Augusto Manzolli, Luiz Almeida, Mauro Pungo, Cindy Paola Guzman, Hugo Morais
Summary: In today's society, it is crucial to reduce carbon footprints due to the growing awareness of climate change and environmental issues. To achieve this, institutions are investing in photovoltaic systems to generate clean energy. This study proposes a framework that utilizes surplus solar energy to charge external electric vehicles, creating new business opportunities. The introduction of a blockchain-based marketplace platform enables energy trading between institutions and EV owners, providing economic benefits for both parties. Through a case study, the feasibility and economic advantages of the proposed solution were evaluated, demonstrating the potential for institutions to profit and EV owners to save money.
Article
Energy & Fuels
Nuno Velosa, Eduardo Gomes, Hugo Morais, Lucas Pereira
Summary: Reducing carbon footprint is a major challenge of our time. Researchers have been working on managing renewable energy resources by balancing demand and supply. However, testing and evaluating different approaches in various scenarios and analyzing their impact in Energy Communities is currently difficult due to the lack of datasets and simulators. To address this issue, PROCSIM is introduced as an open-source simulator to generate energy community datasets and evaluate algorithms and models.
Article
Energy & Fuels
Joao Marques, Tiago Soares, Hugo Morais
Summary: This paper introduces a set of mathematical models to address voltage and congestion constraints caused by P2P energy trading in distribution networks, as well as system problems requiring DER participation in frequency regulation services. The models are tested on a high DER penetration 37-bus IEEE distribution network.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2023)
Article
Computer Science, Interdisciplinary Applications
Mengchu Song, Xinxin Zhang, Morten Lind
Summary: This article presents a framework of model-based RCM analysis driven by functional modeling and reasoning. The study focuses on identifying maintenance significant items through assessment of failure consequences and utilizes Multilevel flow modeling (MFM) to define failure modes and their interactions with system functions. A failure analysis tool for RCM is developed using the causal reasoning capability of MFM and can automatically analyze consequences of all predefined failures and generate equipment classifications for maintenance optimization. The study provides the possibility of RCM automation and the opportunity of implementing a dynamic RCM program with MFM.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Engineering, Electrical & Electronic
Jamilson Junior, Tiago Pinto, Hugo Morais
Summary: The integration of renewable energy sources in distribution grids poses new challenges and the prediction of grid constraint violations is still an unexplored subject. This work proposes a new hybrid classification-regression metric that effectively represents the results compared to traditional metrics.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Yudong Wang, Junjie Hu, Nian Liu
Summary: The interdependence of different energy forms and flexible energy interaction among multiagents in an integrated energy system is significant for reducing carbon emissions. This study proposes an energy management method based on the energy-carbon integrated pricing method, using a Stackelberg game to balance the interests of the energy service provider and consumers. The results show that this method is more effective than traditional methods.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2023)
Article
Computer Science, Information Systems
Mengchu Song, Ilmar Santos, Xinxin Zhang, Jing Wu, Morten Lind
Summary: This paper proposes a mechanical functional modeling approach based on multilevel flow modeling (MFM) and an optimized condition-based maintenance (CBM) framework for diagnosing mechanical failures and predicting their future impacts. The framework utilizes reliability-centered maintenance (RCM) to determine the importance of detected failures.
Review
Green & Sustainable Science & Technology
Han Shao, Rui Henriques, Hugo Morais, Elisabetta Tedeschi
Summary: The integration of offshore wind energy into the electric grid provides opportunities in terms of environmental sustainability and cost efficiency, but poses challenges to power quality. This survey offers a deeper understanding of disturbance detection and classification tools, exploring root causes, disturbance locations, and algorithmic solutions. It highlights synchronized waveform measurement and discusses evaluation metrics for detection and classification algorithms. Additionally, a novel system-wide monitoring framework is proposed.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Multidisciplinary Sciences
Lucas Pereira, Vitor Aguiar, Fabio Vasconcelos, Ricardo Martins, Toni Garces, Hugo Morais
Summary: Industrial kitchens are highly energy-intensive businesses, yet there has been little research on improving their energy efficiency. This paper presents the FIKElectricity dataset, which collects electricity data from three Portuguese restaurant kitchens during their daily operation. The public release of this dataset is expected to draw more attention from the research community to this overlooked industrial sector.
Article
Energy & Fuels
Ksenia Syrtseva, Welington de Oliveira, Sophie Demassey, Hugo Morais, Paul Javal, Bhargav Swaminathan
Summary: This paper proposes a chance-constrained Alternating Current Optimal Power Flow (AC-OPF) model to address the operational planning problem caused by the increasing expansion of renewable energy sources. It uses a Difference-of-Convex approach to solve the optimization problem, considering the activation of various flexibility levers. The proposed methodology is tested on a 33 bus distribution network and proves to be effective and feasible.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2023)
Proceedings Paper
Engineering, Multidisciplinary
Jing Wu, Morten Lind, Xinxin Zhang
Summary: Hazard identification is crucial for risk management. This paper proposes a method related to hazards modelling and reasoning to improve consistency and completeness in hazard analysis. By using the Multilevel Flow Modeling (MFM) method, the study demonstrates that the proposed method can facilitate hazard analysis and potentially prevent accidents by connecting equipment condition monitoring information.
2022 6TH INTERNATIONAL CONFERENCE ON SYSTEM RELIABILITY AND SAFETY, ICSRS
(2022)
Article
Green & Sustainable Science & Technology
M. Genovese, F. Piraino, P. Fragiacomo
Summary: This research proposes the concept of a hydrogen valley in southern Italy, where hydrogen is produced centrally and delivered via fuel cell hybrid trains to refueling stations, providing transportation services. The analysis from both technical and economic perspectives shows that the cost of hydrogen and energy efficiency reached competitive levels, and hydrogen rail transport offers significant benefits in terms of emissions reduction and economic gains compared to conventional diesel trains and fully electric trains.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Miaomiao Liu, Payam Nejat, Pinlu Cao, Carlos Jimenez-Bescos, John Kaiser Calautit
Summary: This article provides a critical review of the performance of windcatchers, pointing out the current research gaps and issues, and proposing directions for further investigation and market prospects.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Solomon Boadu, Ebenezer Otoo
Summary: Despite Africa's vast energy resources, including wind energy, the continent faces challenges in developing its wind energy industry. Northern African countries and South Africa currently dominate the wind energy sector in Africa. To uplift Africa's socio-economic status, strong political will, supportive policies, and institutional frameworks are needed to drive the development of wind energy and overcome existing challenges.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
E. K. Grubbs, S. M. Gruss, V. Z. Schull, M. J. Gosney, M. V. Mickelbart, S. Brouder, M. W. Gitau, P. Bermel, M. R. Tuinstra, R. Agrawal
Summary: As the global population grows, the demand for food, energy, and water will increase significantly. However, limited land availability and competition for solar resources pose challenges to resource generation technologies. In the United States, both agriculture and solar energy production have adopted densification schemes to improve yields and energy output per unit of land. This research proposes an Agrivoltaic food and energy coproduction architecture that optimizes power generation while maintaining crop productivity by implementing ideal anti-tracking during critical growth periods. This technology offers a viable pathway for widespread solar implementation throughout the contiguous United States.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Han Shao, Rui Henriques, Hugo Morais, Elisabetta Tedeschi
Summary: The integration of offshore wind energy into the electric grid provides opportunities in terms of environmental sustainability and cost efficiency, but poses challenges to power quality. This survey offers a deeper understanding of disturbance detection and classification tools, exploring root causes, disturbance locations, and algorithmic solutions. It highlights synchronized waveform measurement and discusses evaluation metrics for detection and classification algorithms. Additionally, a novel system-wide monitoring framework is proposed.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Eleni Davidson, Yair Schwartz, Joe Williams, Dejan Mumovic
Summary: A continued upward trend in global greenhouse gas emissions poses risks to global infrastructure and built assets. Maintaining high indoor environmental quality standards is a challenge for higher education institutions under future climates. Passive cooling mechanisms may be insufficient to tolerate predicted temperature increases. Different building typologies have varying energy demand projections.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Kexin Pang, Jian Zhou, Stamatis Tsianikas, David W. Coit, Yizhong Ma
Summary: This study proposes a new framework for long-term microgrid expansion planning, using deep reinforcement learning method to consider various uncertainties and constraints. The framework aims to enhance the effectiveness of microgrid expansion planning from the perspectives of economy, resilience, and greenhouse gas emission reduction.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Jun Zhao, Kangyin Dong, Xiucheng Dong
Summary: The continuous growth of global electricity penetration has provided modern energy for alleviating energy poverty, but its impact on carbon neutrality has been overlooked. The research reveals that clean electricity from traditional fossil energy and renewable energy has a positive influence on the greenhouse effect. Eradicating energy poverty can effectively alleviate the greenhouse effect, especially in non-Belt and Road Initiative (B&RI) nations.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Hossein Shahbeik, Hamed Kazemi Shariat Panahi, Mona Dehhaghi, Gilles J. Guillemin, Alireza Fallahi, Homa Hosseinzadeh-Bandbafha, Hamid Amiri, Mohammad Rehan, Deepak Raikwar, Hannes Latine, Bruno Pandalone, Benyamin Khoshnevisan, Christian Sonne, Luigi Vaccaro, Abdul-Sattar Nizami, Vijai Kumar Gupta, Su Shiung Lam, Junting Pan, Rafael Luque, Bert Sels, Wanxi Peng, Meisam Tabatabaei, Mortaza Aghbashlo
Summary: This review explores the production of biocrude oil from biomass feedstocks through the process of hydrothermal liquefaction (HTL). It discusses the impact of process parameters on the quality, quantity, cost, and environmental impacts of biofuels. The review also highlights the challenges and prospects for the future development of biocrude oil.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Meysam Majidi Nezhad, Mehdi Neshat, Georgios Sylaios, Davide Astiaso Garcia
Summary: Digital twins promise innovation for the marine renewable energy sector by using modern technological advances and the existing maritime knowledge frameworks. This research presents critical aspects of digital twin implementation challenges in marine energy digitalization approaches that use and combine data systems.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Yeganeh Sharifian, Hamdi Abdi
Summary: This paper discusses the background and objectives of the multi-area economic dispatch problem, as well as various techniques and methods applied in this field. It also covers comprehensive formulations of the problem and important issues in the field of probabilistic MAED, along with some related concepts and suggestions.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
J. G. B. Churchill, V. B. Borugadda, A. K. Dalai
Summary: The increasing global energy demand and the need to reduce fossil fuel reliance have created a demand for renewable and sustainable fuel sources. This review explores the potential of tall oil, a by-product of the pulping industry, as a feedstock for biofuels. The review provides an overview of tall oil production, purification, and treatment, and investigates recent trends and barriers towards tall oil-derived biofuels.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
David C. Broadstock, Xiangnan Wang
Summary: This study provides a general review of research on district cooling, identifying key topics and themes and highlighting potential research priorities for future studies.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
L. Scharnhorst, D. Sloot, N. Lehmann, A. Ardone, W. Fichtner
Summary: This study investigates and analyzes the barriers to demand response in industrial and commercial sectors, highlighting their significance. Concerns about diminished product quality, disruptions to production processes, human resource management, and revenue uncertainty are identified as the most frequently cited barriers. Overcoming these barriers requires bridging knowledge gaps, allocating sufficient resources, and adapting external incentives and policies.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Tong Feng, Yuechi Sun, Yating Shi, Jie Ma, Chunmei Feng, Zhenni Chen
Summary: Air pollution is a significant global challenge, and policymakers have implemented policies to reduce it. Evaluating the effectiveness of these policies is critical, and our study reveals trends and gaps in air pollution policy research. We found that research has shifted from focusing solely on air pollutants to including methodologies, policies, and health implications. China has emerged as a major contributor in this field of research.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
