Article
Thermodynamics
Mario A. Navarro, Diego Oliva, Alfonso Ramos-Michel, Eduardo H. Haro
Summary: This article analyzes the performance of different metaheuristic algorithms in modeling solar cells by estimating the parameters of photovoltaic diode models. The results show that some methods, such as the Artificial Hummingbird Algorithm, can improve the efficiency of solar cells.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Thermodynamics
Tabbi Wilberforce, Hegazy Rezk, A. G. Olabi, Emmanuel I. Epelle, Mohammad Ali Abdelkareem
Summary: One of the primary challenges in fuel cell modeling is determining specific boundary conditions, which are often not fully provided by the manufacturer. This study proposed using five different algorithms to determine seven unknown parameters that affect the mathematical modeling of the cell. The artificial ecosystem-based algorithm showed the best results compared to other algorithms, indicating its effectiveness in improving accuracy and predicting performance.
Review
Energy & Fuels
Navid Razmjooy
Summary: The main purpose of this study is to review the significance of various established works in the field of swarm-inspired optimization algorithms. Accurate parameter estimation is crucial for proper modeling of Proton Exchange Membrane Fuel Cells (PEMFCs). However, due to the complexity, non-linearity, and multivariate nature of PEMFC models, parameter estimation is quite challenging.
FRONTIERS IN ENERGY RESEARCH
(2023)
Article
Computer Science, Artificial Intelligence
Ahmed S. Menesy, Hamdy M. Sultan, Ahmed Korashy, Salah Kamel, Francisco Jurado
Summary: This paper introduces a modified version of the Farmland Fertility Optimization algorithm (MFFA) to enhance the performance of conventional FFA through the use of Levy flights and sine-cosine functions. The effectiveness of the developed algorithm in extracting unknown parameters of Proton Exchange Membrane Fuel Cells (PEMFCs) models is validated, demonstrating its reliability and superiority compared to conventional FFA and other optimization techniques.
NEURAL COMPUTING & APPLICATIONS
(2021)
Article
Thermodynamics
Shangce Gao, Kaiyu Wang, Sichen Tao, Ting Jin, Hongwei Dai, Jiujun Cheng
Summary: The DPDE optimization method is proposed for parameter estimation of various solar PV models, which shows better solution accuracy compared to fifteen other algorithms in experiments. Statistical results indicate that DPDE is the most robust and best performing algorithm for parameter estimation of PV systems.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Computer Science, Artificial Intelligence
Mahmoud A. Mossa, Omar Makram Kamel, Hamdy M. Sultan, Ahmed A. Zaki Diab
Summary: Proton exchange membrane fuel cell (PEMFC) is considered a promising environmentally friendly energy source, and a precise model of PEMFC has been developed using novel meta-heuristic optimization methods. The proposed algorithms were tested on three different commercial PEMFC stacks and showed excellent solution accuracy and convergence speed. The results of the optimization methods compared favorably with previous studies and demonstrated clear alignment with data sheet curves.
NEURAL COMPUTING & APPLICATIONS
(2021)
Review
Energy & Fuels
Uliya Mitra, Anoop Arya, Sushma Gupta
Summary: This article provides an inclusive review of various techniques used for parameter estimation of PEMFC model, offering researchers new references for optimizing the coefficients and introducing novel approaches to solve the objective function.
Article
Automation & Control Systems
Yashan Xing, Lucile Bernadet, Marc Torrell, Albert Tarancon, Ramon Costa-Castello, Jing Na
Summary: This paper proposes an offline tuning strategy and an online parameter estimation method for calibrating the solid oxide fuel cell mathematical model. The offline tuning strategy is designed to tune the model under various operation conditions using particle swarm optimization and gradient-based search methods. The online parameter estimation method employs an adaptive optimal learning law to minimize a cost function with estimation error information. Experimental verification is conducted on a practical solid oxide fuel cell test bench.
Article
Thermodynamics
Hegazy Rezk, A. G. Olabi, Seydali Ferahtia, Enas Taha Sayed
Summary: In this study, a novel identification approach based on the bald eagle search algorithm (BES) is suggested for estimating the characteristics of proton exchange membrane fuel cells (PEMFC). The BES method outperforms other algorithms and provides accurate results.
Article
Mathematics
Hesham Alhumade, Ahmed Fathy, Abdulrahim Al-Zahrani, Muhyaddin Jamal Rawa, Hegazy Rezk
Summary: An optimal parameter estimation methodology for solid oxide fuel cells (SOFC) using modern optimization techniques was proposed, utilizing an equilibrium optimizer (EO) to identify unknown parameters in the SOFC equivalent circuit. The proposed EO achieved the minimum fitness function in the steady-state model and the minimum sum mean squared error in the dynamic model, confirming its reliability and superiority in constructing reliable SOFC models.
Article
Thermodynamics
Xingwang Tang, Yujia Zhang, Sichuan Xu
Summary: This study thoroughly analyzes and quantifies the operating temperature characterization of the proton exchange membrane (PEM) fuel cell and develops an automated temperature calibration model. The model shows high accuracy and robustness in identifying the optimal operating temperature point corresponding to different current densities. The results suggest that it can provide theoretical support for the thermal control of the vehicle fuel cell system.
Article
Energy & Fuels
Mohamed A. M. Shaheen, Hany M. Hasanien, M. S. El Moursi, Attia A. El-Fergany
Summary: The article introduces a newly developed optimization method, the Chaotic MayFly optimization algorithm (CMOA), for obtaining PEMFC parameters to achieve accurate modeling and good matching between simulation and practical results. The CMOA is applied to find the best solution of the objective function that satisfies preset conditions, resulting in an accurate development of the PEMFC model.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Energy & Fuels
Beant Singh, Parag Nijhawan, Manish Kumar Singla, Jyoti Gupta, Parminder Singh
Summary: Proton Exchange Membrane Fuel Cells (PEMFC) have numerous advantages and wide applications, making it crucial to accurately estimate their parameters. In this study, a new hybrid algorithm is proposed and compared with other algorithms, showing superior performance.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Mathematics
Muhyaddin Rawa, Abdullah Abusorrah, Yusuf Al-Turki, Martin Calasan, Mihailo Micev, Ziad M. Ali, Saad Mekhilef, Hussain Bassi, Hatem Sindi, Shady H. E. Abdel Aleem
Summary: This paper proposes two hybrid algorithms for estimating solar cell parameters, which minimize the root mean square error between measurement and simulation results. These algorithms improve convergence characteristics and achieve good results on different equivalent circuit models and photovoltaic modules.
Review
Green & Sustainable Science & Technology
Zaiyu Gu, Guojiang Xiong, Xiaofan Fu
Summary: As the PV market share grows, accurate PV modeling becomes crucial for the future energy landscape. However, the complex characteristics of PV models make extracting accurate parameters challenging. Metaheuristic algorithms have gained attention for solving this issue effectively. This review surveys different algorithms, compares performance indicators, and analyzes variation patterns in results, providing valuable insights for future research in PV model parameter extraction.
Article
Computer Science, Artificial Intelligence
C. Kumar, K. Sathish Kumar, V. Indra Gandhi, V. Vijayakumar, Bharat S. Rawal
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2019)
Article
Engineering, Electrical & Electronic
Dhanup S. Pillai, J. Prasanth Ram, A. M. Y. M. Ghias, Md Apel Mahmud, N. Rajasekar
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2020)
Article
Engineering, Electrical & Electronic
J. Prasanth Ram, Dhanup S. Pillai, N. Rajasekar, Scott M. Strachan
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2020)
Review
Engineering, Electrical & Electronic
Rayavarapu Srinivasa Sankarkumar, Rajasekar Natarajan
Summary: The importance of the energy management system in electric vehicles and the role of hybrid energy resources in solving issues related to battery consumption and driving range are discussed in this paper.
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS
(2021)
Article
Green & Sustainable Science & Technology
Priya Kumar, Subashini Gnanasekar, Nirmala Grace Andrews, Rajasekar Natarajan
Summary: This paper emphasizes the importance of modelling the characteristics of proton exchange membrane fuel cell (PEMFC) and thermal management, while using the flower pollination algorithm for parameter identification and thermal conductivity property computation. The use of copper-based nanofluids significantly improves thermal conductivity property, especially the nanofluid mixture of water and ethylene glycol.
IET RENEWABLE POWER GENERATION
(2021)
Article
Automation & Control Systems
B. Pradeep Kumar, Dhanup S. Pillai, N. Rajasekar, Manickam Chakkarapani, G. Saravana Ilango
Summary: Traditional protection devices in PV arrays struggle to detect faults under low irradiance levels, leading to reliability issues and fire risks. This article proposes a new fault localization method based on differential voltage measurement between PV modules for timely and accurate fault detection and localization, ensuring sustainable power generation and safety.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Review
Engineering, Electrical & Electronic
Krishnappa Muralidhar, Natarajan Rajasekar
Summary: This paper reviews various components, configuration, characteristics, and performance of solar-powered water-pumping systems, as well as comparative studies on water-pumping systems with and without MPPT, motor and pump selection based on water flow rate, optimal converter selection, and effective controller performance. Additionally, behavioral studies of PV pumps at different geographical locations and critical analysis on limitations and suggestions for PV water pumping systems were conducted. This data is expected to be useful for researchers in selecting suitable PV techniques, pumps, motors, MPPT, and controllers for effective design, control, and improved performance of solar water-pumping systems.
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Krishnappa Muralidhar, Natarajan Rajasekar
Summary: A new microgrid architecture is proposed for rural electrification of remote hamlets, catering to both energy and water needs. Feasibility studies and economic analyses were conducted using MATLAB/Simulink, resulting in the lowest voltage drop and energy loss compared to existing architectures. The system was practically installed in a village and integrated with an efficient energy management system on an IoT platform for remote monitoring and control, demonstrating its suitability for electrification of remote areas and sustainable development.
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS
(2021)
Article
Energy & Fuels
Venkateswari Radha Krishnan, Frede Blaabjerg, Ariya Sangwongwanich, Rajasekar Natarajan
Summary: This article proposes a new technique based on physical-array reconfiguration to improve the electrical performance of partially shaded solar panels. Experimental results show that the output power can be increased by 41% with this technique.
IEEE JOURNAL OF PHOTOVOLTAICS
(2022)
Review
Engineering, Electrical & Electronic
Radhakrishnan Venkateswari, Natarajan Rajasekar
Summary: The article discusses the advantages of switching to solar energy, particularly solar photovoltaic (PV) systems, while emphasizing the importance of accurate PV cell modeling for system design and optimal performance. It also explores the application of meta-heuristic algorithms for PV system modeling and the complexity involved in model parameter extraction.
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS
(2021)
Article
Energy & Fuels
Ezhilmaran Ranganathan, Rajasekar Natarajan
Summary: A new bioinspired optimization algorithm, called Spotted-Hyena Optimizer (SHO), is proposed for maximum power-point tracking of partially shaded photovoltaic arrays. The algorithm is easy to implement and does not require additional parameter tuning. The results show that SHO achieves faster global convergence compared to traditional perturb-and-observe (P&O) and particle-swarm-optimization (PSO) methods.
Review
Telecommunications
Puttamsetty Ushashree, K. Sathish Kumar
Summary: This article mainly introduces the problem of network reconfiguration in the power system and its solutions, focusing on the technologies of loss reduction and optimization algorithms, as well as the impact of optimal allocation of distributed generation on the results.
WIRELESS PERSONAL COMMUNICATIONS
(2023)
Article
Energy & Fuels
Jayaprakash Suvvala, Kannaiah Sathish Kumar
Summary: Electric vehicles (EVs) are increasingly important in achieving sustainable energy standards. However, the popularization of EVs requires widespread charging stations, which may cause overload and voltage issues in the electrical system. This research proposes a multi-port DC-DC converter for battery ESS-integrated PV systems, which can regulate power between PV, battery, EV charging stations, and the AC grid, taking into account voltage variations. This configuration offers greater integration, higher efficiency, and reduced cost.
Article
Engineering, Electrical & Electronic
Nikita Ramachandra, Rajasekar Natarajan
Summary: Mismatch losses, hotspot creation, lower power production, and multiple peaks are the major impacts of partial shading in a photovoltaic array. To address this issue, a Parquet SuDoKu-based static array reconfiguration approach is introduced and validated through experimental investigation. The method is tested on a 9 x 9 PV array via simulations and then implemented on a 3 x 3 hardware prototype. Artificial shade is created using commercially available polythene sheets and synthetic soiling for hardware execution. The approach improves overall efficiency and reduces losses while being supported by performance study and technoeconomic analysis.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Computer Science, Artificial Intelligence
K. Sathish Kumar, B. Priya Esther, V. Indrgandhi, S. Sudhakar, Logesh Ravi, V. Subramaniyaswamy
MALAYSIAN JOURNAL OF COMPUTER SCIENCE
(2020)
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)
