Article
Engineering, Marine
Jayshree Pande, Paresh Nasikkar, Ketan Kotecha, Vijayakumar Varadarajan
Summary: Renewable energy resources, especially wind energy, are gaining popularity. Researchers are focusing on methods to extract energy from these sources. Among these methods, maximum power point tracking algorithms play a key role in optimizing power output.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2021)
Article
Engineering, Electrical & Electronic
Fernando Martinez-Rodrigo, Santiago de Pablo, Dionisio Ramirez, Luis C. Herrero-De Lucas, Zaid A. Aljawary
Summary: This paper presents a new topology of a wind farm where wind generators are integrated into the structure of a modular multilevel converter (MMC). It addresses the issue of power imbalances caused by different power outputs of each wind generator. The design of a new regulator is proposed to correct these imbalances and maintain balanced power in the MMC phases and arms, which has been successfully tested through numerical and real-time simulations.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Review
Green & Sustainable Science & Technology
Ozgur Celik, Yunus Yalman, Adnan Tan, Kamil Cagatay Bayindir, Uemit Cetinkaya, Mevlut Akdeniz, Sanjay K. Chaudhary, Majbrit Hoyer, Josep M. Guerrero
Summary: The increasing role of offshore wind power plants in Turkey's electricity generation mix has raised critical grid operation issues. The research and improvement of grid code regulations and technical requirements are necessary to ensure reliable grid operation.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Thermodynamics
Dekali Zouheyr, Baghli Lotfi, Boumediene Abdelmadjid
Summary: This paper presents the design, modeling, and experimental build of a 1.5 kW relatively low-cost wind turbine emulator based on the variable speed wind power system concept. The emulator uses a controlled DC motor to simulate the behavior of a real wind turbine, and proposes a TSR-based MPPT algorithm to extract maximum power. Experimental results demonstrate the effectiveness of the emulator and the proposed MPPT structure in achieving maximum power extraction.
Article
Engineering, Multidisciplinary
Parusharamulu Buduma, Narendra Kumar Vulisi, Gayadhar Panda
Summary: The study introduces a new robust control and Kalman MPPT scheme for a grid-connected wind energy conversion system (WECS) to regulate active and reactive power effectively. The proposed MOSRNN control scheme ensures power regulation with improved quality and stability, even under system uncertainties.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2021)
Review
Green & Sustainable Science & Technology
M. A. Hannan, Ali Q. Q. Al-Shetwi, M. S. Mollik, Pin Jern Ker, M. Mannan, M. Mansor, Hussein M. K. Al-Masri, T. M. Indra Mahlia
Summary: The use of renewable energy techniques is gaining popularity due to increasing demand and environmental concerns. Wind power has untapped potential as an alternative energy source. The role of converters in wind energy conversion, control, and application toward sustainable development has not been thoroughly investigated. This paper provides a comprehensive review of converters' impact on wind energy conversion and highlights the need for efficient, stable, and sustainable wind power technologies.
Article
Energy & Fuels
Zhongting Tang, Yongheng Yang, Frede Blaabjerg
Summary: The integration of renewable energy in the power grid is crucial for the transition to sustainable energy future, with power electronics playing a significant role. Wind energy and photovoltaic systems are the most widely used renewables, and this paper focuses on the role of power electronics in these areas. The development of power electronics technologies and future trends in grid integration of renewables are also discussed.
CSEE JOURNAL OF POWER AND ENERGY SYSTEMS
(2022)
Article
Energy & Fuels
Jayshree Pande, Paresh Nasikkar
Summary: This work presents a new variation of the perturb and observe algorithm using the trapezoidal-rule to track the point of maximum power in a wind energy conversion system. The algorithm consists of three steps: dividing the power curve into trapezoids, comparing the areas of adjacent trapezoids to find the largest one, and using the conventional perturb and observe algorithm to capture the maximum power point in the largest trapezoid. The simulation results in MATLAB/SIMULINK show that the proposed method performs well in fluctuating wind conditions and improves the yielded power.
Article
Green & Sustainable Science & Technology
Jose Genaro Gonzalez-Hernandez, Ruben Salas-Cabrera, Roberto Vazquez-Bautista, Luis Manuel Ong-de-la-Cruz, Joel Rodriguez-Guillen
Summary: This paper introduces an original maximum power point tracking controller for an experimental direct-drive full-variable-speed full-rated converter Type IV Wind Energy Conversion System, which employs a reverse-acting controller to achieve reliable and efficient experimental results for extracting maximum power from the wind. A concise control law specifically designed for experiments is presented, which can be easily implemented using a standard digital processor.
Article
Green & Sustainable Science & Technology
Roan A. Gideon, Elie Bou-Zeid
Summary: The study shows that collocating offshore wind and wave power can reduce power variability, with varying effects at different locations. Significant reductions in variability are found on the US West Coast and UK North Sea, while minimal changes are observed on the US East Coast. The benefits of reduced variability depend on the specific wind-wave capacity mix in each region.
Article
Computer Science, Information Systems
Umar Habib Khan, Qudrat Khan, Laiq Khan, Waqar Alam, Nihad Ali, Ilyas Khan, Kottakkaran Sooppy Nisar, Riaz Ahmad Khan
Summary: This paper investigates the extraction of maximum power from wind energy conversion systems using a robust sliding mode control strategy, which addresses the chattering issue of conventional SMC. Theoretical claims are validated through simulation results and comparative analysis shows the superiority of the proposed control approaches in tracking varying wind profiles and corresponding control inputs.
Article
Green & Sustainable Science & Technology
Hani Albalawi, Mohamed E. El-Shimy, Hosam AbdelMeguid, Ahmed M. Kassem, Sherif A. Zaid
Summary: Hybrid wind/PV microgrids have shown great potential, but their control and energy management face challenges. This paper proposes the use of a BELBIC controller to address these challenges and demonstrates its superior performance in compensating for the intermittence and disturbances of wind and PV energies.
Article
Physics, Multidisciplinary
Liping Yin, Lanlan Lai, Zhengju Zhu, Tao Li
Summary: In this paper, a wind energy conversion system is studied to improve the conversion efficiency and maximize power output. A nonlinear state space model is established and a maximum power point tracking control method is proposed based on the relationship between non-Gaussian variables and survival information potential. By using a data driven method to calculate the survival information potential, the proposed method achieves the goal of improving conversion efficiency and maximizing power output under the influence of non-Gaussian wind noises.
Article
Energy & Fuels
Noah Serem, Josiah Munda, Lawrence Letting
Summary: This paper analyzes the effects of injecting wind power into the grid on voltage profiles, using branch participation factors and reactive power-voltage sensitivity analysis to identify sections of the grid and buses most affected. The study considered two test bus systems: IEEE 14 and IEEE 39.
Article
Green & Sustainable Science & Technology
Henrik Zsiboracs, Gabor Pinter, Andras Vincze, Nora Hegedusne Baranyai
Summary: This paper examines the accuracy of wind power forecasts for onshore and offshore wind farms in European countries. The results show that Germany, Spain, France, and Sweden have more accurate forecasts for onshore wind farms, while some countries have less accurate forecasts. The accuracy of forecasts for offshore wind farms also varies, with Germany and Denmark having the most accurate schedules.
Article
Automation & Control Systems
Gajendra Singh Chawda, Abdul Gafoor Shaik, Om Prakash Mahela, Sanjeevikumar Padmanaban
Summary: This article proposes a method to improve the power quality (PQ) in weak grids with wind energy (WE) penetration using additional distribution static compensator (DSTATCOM). The method utilizes fuzzy logic (FL) controller and feedforward block of the WE source to adapt to changes associated with wind speed and estimate switching signals for DSTATCOM. MATLAB simulation and experimental studies demonstrate the effectiveness of the proposed method in enhancing PQ performance of weak grid-connected WE sources in the presence of nonlinear loads.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Green & Sustainable Science & Technology
Pramod Kumar, Nagendra Kumar Swarnkar, Ahmed Ali, Om Prakash Mahela, Baseem Khan, Divya Anand, Julien Brito Ballester
Summary: This paper presents a hybrid combination of network restructuring and optimal placement of distributed generators (DG) to improve the voltage profile and reduce losses in a practical transmission network. Four study cases were conducted, including a baseline case without optimization, network restructuring, optimal DG placement using the proposed GPOHSA algorithm, and a hybrid combination of network restructuring and DG placement using GPOHSA. The results show that the hybrid combination is effective in meeting the increased load demand, with reduced losses and improved voltage profile. The GPOHSA algorithm outperforms the conventional genetic algorithm in terms of DG unit placement. The study was conducted using MATLAB software on a practical transmission network in India.
Article
Energy & Fuels
Abhishek Gupta, Ramesh Kumar Pachar, Om Prakash Mahela, Baseem Khan
Summary: This paper presents a protection scheme for utility grid with high share of renewable energy, using Stockwell transform, Hilbert transform, and alienation coefficient for feature extraction. The scheme is effective in identifying faults in various scenarios and discriminates fault events from operational events. The proposed hybrid protection method outperforms the alienation coefficient-based protection scheme reported in literature in terms of fault detection accuracy and noise tolerance. The performance evaluation shows that the proposed method has significantly lower error rates compared to the existing scheme.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2023)
Article
Engineering, Electrical & Electronic
Pramod Kumar, Nagendra Kumar Swarnkar, Om Prakash Mahela, Baseem Khan, Divya Anand, Aman Singh, Juan Luis Vidal Mazon, Fahd S. Alharithi
Summary: This paper presents a grid-oriented multiobjective harmony search algorithm (GOMOHSA) for optimal deployment of renewable energy (RE) generators to minimize power losses and voltage deviations in a transmission network. Performance indexes are introduced to evaluate the test network under different load scenarios. The proposed GOMOHSA outperforms a conventional genetic algorithm (GA) in terms of performance indexes, RE generator capacity, payback period, and parameter sensitivity. MATLAB software is used for the study.
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS
(2023)
Article
Green & Sustainable Science & Technology
Surendra Singh, Avdhesh Sharma, Akhil Ranjan Garg, Om Prakash Mahela, Baseem Khan, Ilyes Boulkaibet, Bilel Neji, Ahmed Ali, Julien Brito Ballester
Summary: This paper presents a power quality detection and categorization algorithm that combines multiple signal processing techniques and a rule-based decision tree. The algorithm aims to accurately identify PQ events of simple nature and higher order multiplicity with less computational time. It utilizes the Stockwell transform and Hilbert transform to compute PQ detection indices and the Discrete Wavelet transform for classification feature indices. A combined PQ detection index is calculated by combining these indices. The algorithm successfully detects and categorizes various PQ events and is also tested on a practical distribution utility network. The algorithm's performance is evaluated and compared with a DWT-based technique in terms of accuracy, computational time, and multiplicity of PQ events. Simulation is performed using MATLAB software.
Article
Green & Sustainable Science & Technology
Ekata Kaushik, Vivek Prakash, Raymond Ghandour, Zaher Al Barakeh, Ahmed Ali, Om Prakash Mahela, Roberto Marcelo Alvarez, Baseem Khan
Summary: This study addresses the issues of low power system flexibility, high transmission losses, and voltage variations caused by a high penetration of renewable energy in utility grids. It proposes a hybrid solution of network restructuring and optimal placement of distributed energy generators (DEGs) to improve power network flexibility and reduce losses. A grid-oriented genetic algorithm (GOGA) is designed to identify optimal DEG placement, and a cost-benefit assessment is performed to estimate the payback period for the required investment.
Article
Green & Sustainable Science & Technology
Ligang Tang, Om Prakash Mahela, Baseem Khan, Yini Miro
Summary: This paper presents a current- and voltage-driven protection scheme for transmission lines based on a hybrid mix of Stockwell transform (ST) and Hilbert transform (HT). The proposed scheme improves reliability and avoids false tripping by using both current and voltage waveforms to detect and categorize faults. The performance of the proposed technique is better compared to other techniques, such as discrete wavelet transform (DWT)-based technique, time-frequency approach, and alienation method.
Article
Computer Science, Information Systems
Hukam Chand Kumawat, Mahendra Bhadu, Arvind Kumar, Om Prakash Mahela, Baseem Khan, Divya Anand, Jose Brenosa
Summary: This article investigates the discrete mode load frequency control mechanism using the concept of the periodic output feedback (POF) controller with varying input and output sampling frequencies. The optimal sampling frequency and POF controller gain matrix are found using the particle swarm optimization (PSO) method. The efficacy of the discrete mode POF controller is evaluated on the MATLAB/Simulink platform.
JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING
(2023)
Article
Engineering, Electrical & Electronic
Nagendra Kumar Swarnkar, Om Prakash Mahela, Mahendra Lalwani
Summary: This paper presents a multi-variable power quality disturbance identification algorithm (MPQDIA) using the Stockwell transform (ST), Hilbert transform (HT), and rule-based decision tree (RBDT). The algorithm effectively identifies, locates, and classifies various types of power quality disturbances (PQDs) by processing voltage signals with PQDs using the ST and HT and extracting features for classification with the RBDT. The performance of MPQDIA is compared with other algorithms and it is demonstrated that MPQDIA effectively recognizes PQDs in real-time power system networks.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Takele Ferede Agajie, Armand Fopah-Lele, Isaac Amoussou, Ahmed Ali, Baseem Khan, Om Prakash Mahela, Ramakrishna S. S. Nuvvula, Divine Khan Ngwashi, Emmanuel Soriano Flores, Emmanuel Tanyi
Summary: This study presents optimization and techno-economic feasibility analyses of proposed hybrid renewable systems to replace diesel generators in a university's electrical distribution network. The results show that enhanced whale optimization algorithm and African vultures' optimization algorithm can effectively reduce total current costs while meeting constraints.
Article
Green & Sustainable Science & Technology
Endeshaw Solomon, Baseem Khan, Ilyes Boulkaibet, Bilel Neji, Nadhira Khezami, Ahmed Ali, Om Prakash Mahela, Alina Eugenia Pascual Barrera
Summary: This paper proposes the enhancement of power system dynamic stability through the optimal design of a power system stabilizer and UPFC using an ant lion optimization technique.
Article
Computer Science, Information Systems
Abhishek Gupta, Ramesh Kumar Pachar, Om Prakash Mahela, Baseem Khan
Summary: This paper proposes a protection scheme for utility networks with high levels of renewable energy generation using a fusion of Hilbert transform, Stockwell transform, and Alienation coefficient. The scheme utilizes a hybrid fault detection index that extracts features from current and voltage signals to detect fault events. The performance of the scheme is validated using test systems and practical utility networks, with a focus on detecting faults under high noise levels. Results show that the proposed scheme outperforms existing alienation coefficient-based approaches.
Article
Engineering, Multidisciplinary
Om Prakash Mahela, Mukesh Kumar Gupta, Atul Kulshrestha, Baseem Khan, Rajendra Mahla, Akhil Ranjan Garg, Aditya R. Gautam, Sanjeevikumar Padmanaban
Summary: This paper proposes a protection scheme algorithm (PSA) for the integration of renewable energy into hybrid power systems, which effectively identifies and classifies faulty events and demonstrates better performance and shorter fault detection time in various operating scenarios.
JOURNAL OF ENGINEERING-JOE
(2022)
Article
Computer Science, Information Systems
Ravinder Kumar, Hari Om Bansal, Aditya R. Gautam, Om Prakash Mahela, Baseem Khan
Summary: This paper presents the hardware implementation of a shunt active power filter (SAPF) based on synchronous reference frame (SRF) theory. The gain values of the SAPF PI controller are tuned using particle swarm optimization (PSO) technique to enhance its dynamic efficiency. Experimental results show that the PSO tuned controller provides better performance compared to traditional tuning methods.
Article
Energy & Fuels
Ekata Kaushik, Vivek Prakash, Om Prakash Mahela, Baseem Khan, Adel El-Shahat, Almoataz Y. Abdelaziz
Summary: This paper presents a comprehensive overview of power system flexibility, including its drivers, resources, provisions, and assessment and planning methods. It aims to help researchers, academics, planners, and engineers better understand and address the challenges associated with integrating VRE into the utility grid.
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)
