Article
Computer Science, Artificial Intelligence
Saeid Jafarzadeh Ghoushchi, Harish Garg, Shabnam Rahnamay Bonab, Aliyeh Rahimi
Summary: This paper presents a new approach to address barriers to clean energy development, which is based on multi-criteria decision-making methods and spherical fuzzy set. The results show that incomplete markets and consecutive changes in the administrative system are critical barriers.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Green & Sustainable Science & Technology
Enrique Angel-Sanint, Simon Garcia-Orrego, Santiago Ortega
Summary: This paper proposes a methodology to determine the best areas for wind and solar farm development in Colombia, considering environmental restrictions and financial performance. Maps were developed to show the potential areas and the feasibility and profitability of projects. The results provide valuable information for stakeholders, decision-makers, and investors.
ENERGY FOR SUSTAINABLE DEVELOPMENT
(2023)
Article
Energy & Fuels
Rodrigue Ogoulonou Balagueman, Emeline Sessi Pelagie Assede, Ismail Moumouni-Moussa, Abdul Aziz Soumanou, Samadori Sorotori Honore Biaou
Summary: Understanding the spatial variation of factors driving interest in bioenergy is crucial for effective energy policy making. However, previous research on the determinants of biomass supply intentions in bioenergy has overlooked the potential spatial variation of these factors. Using structural equation modeling, we found that spatial disparities alter the impact of attitude and knowledge on people's intentions to supply forestry residues for clean energy. Income and perceived behavioral control, on the other hand, consistently exhibit positive effects across geographic regions. These findings highlight the importance of considering spatial disparities in analyzing bioenergy acceptance and can inform region-specific actions for achieving clean energy transition in the Republic of Benin.
FRONTIERS IN ENERGY RESEARCH
(2023)
Article
Thermodynamics
Bingsheng Liu, Ziyue Yang, Yuan Chen, Ling Li, Si Chen
Summary: This study proposes a decision-making framework addressing scheme selection for hydropower development from a sustainability perspective and develops a new approach derived from multiple-attribute decision-making for evaluating alternative schemes. The effectiveness of the proposed method is demonstrated through the evaluation of five alternative schemes for a planned hydropower station in China. This approach can serve as a reference for future establishment and evaluation of sustainability assessment systems for hydropower development.
INTERNATIONAL JOURNAL OF GREEN ENERGY
(2021)
Article
Environmental Studies
Bahare Moradi, Rojin Akbari, Seyedeh Reyhaneh Taghavi, Farnaz Fardad, Abdulsalam Esmailzadeh, Mohammad Zia Ahmadi, Sina Attarroshan, Fatemeh Nickravesh, Jamal Jokar Arsanjani, Mehdi Amirkhani, Igor Martek
Summary: This study presents a scenario-based spatial multi-criteria decision-making system for evaluating urban environment quality (UEQ). By involving stakeholders and calculating criteria weights, UEQ maps were created for different scenarios and the population distribution in different classes of UEQ was evaluated. The research results showed that a high percentage of the population in the study area live under unsuitable UEQ conditions, indicating the need for improving the current UEQ conditions.
Article
Management
Deepanshu Yadav, Deepak Nagar, Palaniappan Ramu, Kalyanmoy Deb
Summary: In multi-criterion optimization, decision-makers often have preferences favoring specific parts of the Pareto-optimal front. The literature on multi-criterion decision-making provides various approaches for incorporating decision-makers' preferences. This paper demonstrates how the NIMBUS method can be executed with the interpretable self-organizing map (iSOM) approach to arrive at preferred solutions iteratively.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Thermodynamics
Jakub Bobrowski, Grazyna Laska
Summary: This study presents a framework for an elimination algorithm to determine potential investment locations for photovoltaic farms in three separate counties in northeastern Poland. Through a multi-criteria decision support method, ten different location variants were derived, and five critical criteria were highlighted. The analysis revealed that the analyzed counties have optimal locations that satisfy all specified conditions.
Article
Chemistry, Physical
Seyyed Shahabaddin Hosseini Dehshiri, Seyyed Jalaladdin Hosseini Dehshiri
Summary: Hydrogen generation from renewable energy resources is considered as a suitable solution to energy and greenhouse gas reduction issues. This study provides an integrated framework using GIS and MCDM to identify suitable areas for wind farms to produce hydrogen. Economic criteria were found to be the most important, with distance to urban areas being the most significant sub-criterion. The results showed that the southern and central sectors of Yazd province are the most suitable areas for hydrogen production. The feasibility analysis indicated that the province has the capacity to generate hydrogen at a significant rate annually.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Green & Sustainable Science & Technology
Zia Ullah, M. R. Elkadeem, Kotb M. Kotb, Ibrahim B. M. Taha, Shaorong Wang
Summary: This paper presents an integrated decision-making approach for optimal planning of a 100% renewable energy supply system in a rural area of Pakistan, considering a variety of sustainability criteria. The results reveal that the solar-hydro-biomass battery is the top-ranking off-grid system, while the solar-hydro-battery is the most appropriate design when the hybrid system is connected to the grid. The developed approach offers valuable benchmark and guidelines for investors and stakeholders in the energy industry to promote the high dissemination of renewables.
Article
Engineering, Environmental
Lijian Sun, Yuncheng Jiang, Qingsheng Guo, Ling Ji, Yulei Xie, Qinhua Qiao, Guohe Huang, Kun Xiao
Summary: This study combines GIS and MCDM to evaluate suitable locations and potentials for large-scale solar PV and CSP plants, using Ningxia, China as a case study. The results suggest the middle area of Ningxia is recommended for solar power plant deployment, with PV technology being more appropriate than CSP technology for the region.
RESOURCES CONSERVATION AND RECYCLING
(2021)
Article
Construction & Building Technology
Yuan Shi, Rong Wang, Panfeng Chen
Summary: This study proposes a multi-criteria decision-making method to assist investors in selecting the most suitable energy-saving renovation strategy for hospital wards. The results show that green roofs have the highest economic benefits, and the replacement of high-performance windows becomes a viable option when considering other renovation measures and investors' preferences.
ENERGY AND BUILDINGS
(2023)
Article
Geography
Amanda Gadelha Ferreira Rosa, Caroline Maria de Miranda Mota, Ciro Jose Jardim de Figueiredo
Summary: This paper utilizes a multi-methodology framework to study violence in public spaces. By employing a geographic information system (GIS) and a multi-criteria decision analysis (MCDA) model, the study explores the incidence of street robberies and classifies the study area into different levels of vulnerability. The findings reveal spatial and statistical associations between social interaction features, bus stops, and street robberies, as well as identify socio-demographic dimensions such as makeshift houses, literacy rates, and population as factors contributing to crime. The holistic analysis provided by the multi-methodology framework enhances understanding of urban spaces and aids in identifying vulnerability to crime.
Article
Green & Sustainable Science & Technology
Xi Yang, Zhihe Chen
Summary: Reasonable water resources management is crucial for sustainable development. This study proposes a decision-making framework combining interval TOPSIS and a multi-sensitivity strategy for robust water resources management under uncertainty.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Computer Science, Interdisciplinary Applications
Adil Baykasoglu, Ilker Golcuk
Summary: This study proposes a computational model for fuzzy cognitive maps (FCMs) based on fuzzy number representation, which is tested and compared on various problems. The model is also extended to interval type-2 (IT2) fuzzy sets, providing computational details for IT2 FCMs. Additionally, a new objective weighting method based on FCMs is presented.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Green & Sustainable Science & Technology
Saeed Khojaste Effatpanah, Mohammad Hossein Ahmadi, Pasura Aungkulanon, Akbar Maleki, Milad Sadeghzadeh, Mohsen Sharifpur, Lingen Chen
Summary: This study conducted a comparative analysis in Jiangsu province, China, to evaluate and select the most appropriate clean energy solution using five prominent multi-criteria decision-making methods. The results showed that solar photovoltaic and wind energy were the optimal options, followed by nuclear and biomass energy. Sensitivity analysis indicated that changes in the weights of land use and water consumption criteria had the greatest impact on the performance of options.
Article
Engineering, Multidisciplinary
Ehab M. Esmail, Abdulaziz Almalaq, Khalid Alqunun, Ziad M. Ali, Shady H. E. Abdel Aleem
Summary: This paper introduces fault type identification, fault section selection, and fault phase selectivity using a Karen Bell Transformation matrix in earthed distribution grids coupled with Doubly Fed Induction Generator (DFIG). The Rogowski Coil's (RC) model is estimated and verified using experimental results, and the transient slope of the ground and aerial modes voltages is extracted during the fault for fault classification. The proposed scheme's behavior is evaluated through simulation results.
AIN SHAMS ENGINEERING JOURNAL
(2023)
Review
Engineering, Multidisciplinary
George Fernandez Savari, M. Jagabar Sathik, L. Anantha Raman, Adel El-Shahat, Hany M. Hasanien, Dhafer Almakhles, Shady H. E. Abdel Aleem, Ahmed I. Omar
Summary: This article comprehensively reviews recent Electric Vehicle (EV) charging infrastructure, technology, and issues related to charging station identification. The literature study shows an increasing consideration of EVs over the past decade. The article discusses the user-friendly selection of charging stations and associated problems.
AIN SHAMS ENGINEERING JOURNAL
(2023)
Article
Energy & Fuels
Mohamed Maher, Shady H. E. Abdel Aleem, Ahmed M. M. Ibrahim, Adel El-Shahat
Summary: This paper presents novel mathematical designs of triple-tuned filters (TTFs) and validates their effectiveness through simulation results. The proposed design methods utilize an artificial rabbits optimization (ARO) algorithm to minimize harmonics, improve power quality, and reduce losses. Simulation results demonstrate better performance of the new design compared to conventional single and double-tuned filters in terms of harmonics mitigation, power quality improvement, and reduced reactive power filter ratings.
Article
Thermodynamics
Martin Calasan, Shady H. E. Abdel Aleem, Hany M. Hasanien, Zuhair M. Alaas, Ziad M. Ali
Summary: In this study, a new mathematical expression of PEMFC current as a voltage function is derived and solved using the iterative Lambert W function for the first time. The root-mean-square error (RMSE) and sum-of-squares error (SSE) between the measured and estimated current and voltage values are calculated, analyzed, and discussed. The results validate the effectiveness of the new mathematical model and show that the solutions obtained using ChERWCA outperformed those obtained by other methods presented in the literature.
Article
Green & Sustainable Science & Technology
Hassan Yousif Ahmed, Ziad M. Ali, Mohamed M. Refaat, Shady H. E. Abdel Aleem
Summary: This paper proposes a multi-objective planning framework for EV charging stations in power networks that move towards green transportation electrification. The model combines the planning models of renewable energy systems, energy storage systems, thyristor-controlled series compensators, and transmission lines. The objectives include maximizing EVs' penetration, reducing carbon dioxide emissions, and meeting financial requirements. The proposed model is solved using the multi-objective version of the Gazelle optimization algorithm. The results demonstrate the superiority of the MGOA in solving multi-objective optimization problems and the importance of energy storage systems in improving the EV's hosting capacity.
Article
Social Sciences, Interdisciplinary
Mohamed M. Refaat, Shady H. E. Abdel Aleem, Yousry Atia, Essam El Din Aboul Zahab, Mahmoud M. Sayed
Summary: This paper proposes a new planning framework to enhance and control the hosting capacity of renewable energy sources (RESs) by comparing various types of renewables, energy storage systems (ESSs), fault current limiters, and flexible alternating current transmission systems (FACTs). The problem is formulated as a complex mixed-integer non-linear optimization problem, and a solution methodology based on a developed decision-making approach and an improved meta-heuristic algorithm is developed. Simulations on the Garver network and the 118-bus system demonstrate the capability of the proposed model in selecting appropriate projects accurately.
Article
Energy & Fuels
Ziad M. Ali, Martin Calasan, Shady H. E. Abdel Aleem, Hany M. Hasanien
Summary: This paper presents exact analytical formulas of leakage-current-based supercapacitor models that can be used in industrial applications, i.e., constant-power-based applications. In the proposed model, current and voltage are represented as a solution of nonlinear equations that are solved using the standard Newton method. The results confirm that including leakage current represents a more accurate and realistic manner of modeling SCs.
Article
Automation & Control Systems
Mihailo Micev, Martin Calasan, Milovan Radulovic, Shady H. E. Abdel Aleem, Hany M. Hasanien, Ahmed F. Zobaa
Summary: This article discusses the use of artificial neural networks (ANN) for black-box modeling of synchronous generators. The ANN is employed to establish the relationship between excitation and terminal generator voltage values, determined using the Levenberg-Marquardt algorithm. The proposed ANN model is found to be accurate, providing a high degree of matching with experimental results and outperforming other nonlinear models.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Review
Energy & Fuels
Ziad M. Ali, Martin Calasan, Shady H. E. Abdel Aleem, Francisco Jurado, Foad H. Gandoman
Summary: With the growing global population and increased energy demand, sustainable and efficient energy systems are urgently needed. Renewable energy sources, such as wind and solar power, have the potential to meet this demand, but their intermittent nature poses challenges for integration into existing energy systems. Recent events such as declining fuel prices, geopolitical conflicts, and the COVID-19 pandemic have made the development of sustainable energy systems even more critical, highlighting the need for resilient and self-sufficient energy systems. Energy storage technologies, such as batteries and flywheels, play a vital role in achieving this goal by providing reliable backup power and enabling independent operation of microgrids.
Article
Energy & Fuels
Eman Korany, Dalia Yousri, Hazem A. Attia, Ahmed F. Zobaa, Dalia Allam
Summary: This paper proposes an efficient maximum power point tracker (MPPT) control strategy using fractional calculus to provide accurate and dynamic response to changes in environmental conditions. A novel hunter-pray optimizer (HPO) is implemented to identify the MPPT controller parameters. The proposed MPPT controller is compared with existing techniques and proven to be superior in terms of dynamic response and maximum power tracking.
Article
Computer Science, Information Systems
F. M. Aboshady, Ioana Pisica, Ahmed F. Zobaa, Gareth A. Taylor, Oguzhan Ceylan, Aydogan Ozdemir
Summary: A reactive power control approach for PV inverters is proposed to reduce the active power loss of the system and solve the overvoltage problem. The method uses probabilistic distributions to account for uncertainties in PV generation and load demand. The real-time volt/var control coordinates the operation of different inverters to limit voltage rise and reduce reactive power flow in the system. Simulation results show that the proposed controller is effective in reducing active power loss and solving the overvoltage problem with less reactive power requirement compared to other methods.
Proceedings Paper
Energy & Fuels
Bilal H. Al-Majali, Ahmed F. Zobaa, Ioana Pisica, Oguzhan Ceylan
Summary: This paper presents a novel optimization approach using Mixed Integer Distributed Ant Colony Optimization (MIDACO) to find the optimal STATCOM installation in the power system. The approach is mathematically formulated based on minimizing the Voltage Deviation Index (VDI) and the installation cost of STATCOM. The proposed method has been tested on the standard IEEE 14-bus system.
2023 IEEE CONFERENCE ON POWER ELECTRONICS AND RENEWABLE ENERGY, CPERE
(2023)
Article
Engineering, Multidisciplinary
Nor Hidayah Abdul Kahar, Ahmed F. Zobaa, Rania A. Turky, Ahmed M. Zobaa, Shady H. E. Abdel Aleem, Bazilah Ismail
Summary: Harmonic pollution has become a significant problem in power networks, and this paper presents an optimal design strategy for passive power filters using the MIDACO solver. The design criteria include minimizing active power losses, maximizing the true power factor, and maximizing the transmission efficiency. Constraints such as quality factors, harmonic resonance damping, power factor range, and voltage harmonic distortion are considered. The effectiveness of the MIDACO solver is validated through comparison with other optimization algorithms.
AIN SHAMS ENGINEERING JOURNAL
(2023)
Article
Computer Science, Information Systems
Mahmoud A. Elsadd, Hala A. Omar, Ahmed R. Adly, Ahmed Faheem Zobaa
Summary: In this paper, a new fault locator scheme is proposed for non-homogeneous combined transmission lines. The scheme accurately determines the faulted segments and calculates the fault distance by utilizing a new algorithm and a voting system.
Article
Energy & Fuels
Mokhtar Benasla, Imane Boukhatem, Tayeb Allaoui, Abderrahmane Berkani, Petr Korba, Felix Rafael Segundo Sevilla, Mohamed Belfedel
Summary: The idea of exporting dispatchable solar electricity from the North African region to Europe is still being discussed. This paper focuses on the potential of Algeria as a supplier and analyzes possible import corridors and barriers.
Article
Energy & Fuels
Hobyung Chae, Sangmu Bae, Jae-Weon Jeong, Yujin Nam
Summary: Thermoelectric generators (TEGs) utilize temperature differences to produce electricity and have potential for various industrial applications. This study introduces an advanced technique that utilizes temperature gradients in water pipes to increase power generation, with efficient modulation of output power through flow control. The feasibility evaluation in residential settings shows that TEGs can generate 10.95 kWh of electricity per unit, and to achieve zero-energy buildings, 64.5 m2 of TEG deployment is required per unit given a zT value of 1.
Review
Energy & Fuels
Lina Patricia Vega, Karen Tatiana Bautista, Heliana Campos, Sebastian Daza, Guillermo Vargas
Summary: This article focuses on the current situation of biofuel production and research development in Latin American countries such as Argentina, Brazil, Mexico, Chile, Costa Rica, and Colombia. Brazil stands out as a leader in the region, making significant advancements in clean energy production through biofuels policy implementation. The review highlights the challenges these countries face in utilizing their comparative advantages for biofuel production.
Article
Energy & Fuels
Iraj Faraji Davoudkhani, Mahmoud Rerza Shakarami, Almoataz Y. Abdelaziz, Adel El-Shahat
Summary: This paper presents an optimization-based method for designing a wide-area damping controller (WADC) based on remote signals to improve the damping of inter-area oscillations by considering the time delays. The grey wolf optimization (GWO) algorithm is utilized to solve the optimization problem, and simulations and statistical results demonstrate the superiority of the proposed method.
Article
Energy & Fuels
Majid Ahmed Mohammed, Bashar Mahmood Ali, Khalil Farhan Yassin, Obed Majeed Ali, Omar Rafae Alomar
Summary: This study compares the effects of different phase change materials on the performance of solar panels. The experiment shows that the use of beeswax can lower the temperature of the panel and increase the efficiency of the photovoltaic system.
