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Energy & Fuels
Dalila Fares, Mohamed Fathi, Saad Mekhilef
Summary: This study evaluates the performance of ten metaheuristics optimization techniques in solving the sizing problem for a stand-alone hybrid renewable energy system, with flower pollination algorithm and simulated annealing algorithm showing high robustness and accuracy. Meanwhile, brainstorm optimization in objective space algorithm performs the best in terms of execution time.
Article
Energy & Fuels
Ning Zhang, Nien-Che Yang, Jian-Hong Liu
Summary: A multi-objective scheduling model for a hybrid microgrid is proposed in this study to optimize cost and power supply reliability, with optimal sizing of PV panels and battery banks obtained using multi-objective particle swarm optimization while considering battery bank lifetime. The practicality of the scheduling model is verified through four examples.
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Energy & Fuels
Yuqing Yang, Stephen Bremner, Chris Menictas, Merlinde Kay
Summary: This study introduces a novel approach for battery sizing in an HRPP based on forecasting error characteristics, which reduces the battery capacity requirements effectively, demonstrating a certain degree of foresight and operability.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Environmental Studies
Syed Mujtaba Mahdi Mudassir, U. Salma
Summary: This article proposes an optimal size and performance analysis for hybrid renewable energy sources using the atomic orbital search-recalling-enhanced recurrent neural network technique. The proposed method aims to reduce the life-cycle cost of the system while considering various factors such as wind turbines, solar panels, energy storage systems, and biodiesel generators. The method is validated using MATLAB and compared with existing methods.
ENERGY & ENVIRONMENT
(2023)
Article
Thermodynamics
Sihem Amara, Sana Toumi, Chokri Ben Salah, Abdelaziz Salah Saidi
Summary: This paper presents an improved techno-economic optimal sizing of a hybrid off-grid micro grid system, which optimizes system reliability and cost through iterative algorithm and energy management. It is found that the battery capacity is insufficient to cover load demand when considering autonomy days, leading to the use of a diesel generator as a secondary power supply to overcome this issue.
Article
Thermodynamics
Hoda Abd El-Sattar, Salah Kamel, Mohamed H. Hassan, Francisco Jurado
Summary: This paper simulates and analyzes an isolated hybrid power system to optimize the sizing and meet the electricity demand for a small village in Egypt. The results show that the modified QRUN algorithm provides the best Fitness Function with the lowest cost of energy and high reliability in covering all load needs.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Green & Sustainable Science & Technology
Mayur P. Bonkile, Venkatasailanathan Ramadesigan
Summary: This paper studies battery degradation in standalone PV-wind battery hybrid power systems and finds that increasing the size of the battery energy storage system can extend its lifespan and reduce energy generation costs.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Thermodynamics
C. John De Britto, S. Nagarajan, R. Senthil Kumar
Summary: This manuscript focuses on the energy storage technology with renewable energy design, which can directly reduce the overall constraint of electrical microgrid in the future. By targeting the entire site for essential energy storage systems based on predefined functions, the original energy monitoring arrangement can lower the typical cost of microgrids and increase the utilization of renewable assets. The concept of hybrid integrated microgrids combining solar PV, wind turbines, and nickel-cadmium battery storage is fundamental for modeling and calculation.
INTERNATIONAL JOURNAL OF GREEN ENERGY
(2023)
Article
Green & Sustainable Science & Technology
Abdul Rauf, Mahmoud Kassas, Muhammad Khalid
Summary: In this paper, a distributionally robust optimization (DRO) technique is proposed for the optimal scheduling of a distribution network consisting of renewable energy sources and a battery energy storage system (BESS). The technique successfully handles the uncertainties in renewable energy and achieves economical energy dispatch and optimal BESS sizing. Three case studies using an IEEE 14 bus system are conducted, demonstrating the effectiveness of the proposed technique with lower computational processing and complexities.
Article
Computer Science, Artificial Intelligence
Manisha Malik, P. R. Sharma
Summary: This paper proposes an approach to appropriately place and size a battery energy storage system in a distribution network with hybrid energy sources to mitigate the impact of HES variations on power generation reliability and quality. By considering the daily cost incurred by the distribution network due to voltage deviation, power losses, and peak demands, the ideal location and size of the BESS are determined.
Article
Thermodynamics
Hoda Abd El-Sattar, Salah Kamel, Mohamed H. Hassan, Francisco Jurado
Summary: This research introduces a hybrid algorithm called Gradient Artificial Hummingbird Algorithm (GAHA) for reducing energy cost in microgrid systems. The GAHA algorithm performs better than other optimization algorithms in most cases, which is confirmed through benchmark tests and comparisons.
Article
Green & Sustainable Science & Technology
Pietro Lubello, Francesco Papi, Alessandro Bianchini, Carlo Carcasci
Summary: The research shows that using aging models for analysis of residential energy systems can better predict their economic viability and avoid incorrect predictions. When using aging algorithms, the breakeven price for introducing batteries into residential energy systems is lower, and higher optimal capacities are obtained for lower battery prices.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
U. G. K. Mulleriyawage, W. X. Shen
Summary: This study investigates avenues of improving the economic sense of battery energy storage systems by considering demand side management, resulting in significant capacity reduction and increased return on investment.
Article
Energy & Fuels
Md. Arif Hossain, Ashik Ahmed, Shafiqur Rahman Tito, Razzaqul Ahshan, Taiyeb Hasan Sakib, Sarvar Hussain Nengroo
Summary: This study proposes a hybrid optimization method to assess the optimal energy mix of wind, photovoltaic, and battery for a hybrid microgrid system. The method combines Non-dominant Sorting Genetic Algorithm II and Grey Wolf Optimizer to minimize the total energy cost and loss of power supply probability. Comparative analysis shows that the proposed method outperforms other optimization algorithms in terms of convergence speed, reaching global minima, lower mean (for minimization objective), and higher standard deviation. The analysis also reveals that relaxing the loss of power supply probability can lead to an additional cost reduction.
Article
Energy & Fuels
N. Niveditha, M. M. Rajan Singaravel
Summary: This study considers the optimal sizing of a hybrid photovoltaic and wind system to achieve reliable, clean and affordable energy supply for a group of buildings under the concept of net zero energy. In addition to minimizing power supply loss probability and cost, the minimization of energy transfer between buildings and the grid is also considered. A non-dominated sorting genetic algorithm II is utilized to optimize three conflicting and incomparable objective functions, resulting in the optimal sizing of hybrid photovoltaic and wind generators.
Article
Engineering, Electrical & Electronic
Amal A. Hassan, Faten H. Fahmy, Abd El-Shafy A. Nafeh, Mohamed A. Abu-elmagd
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS
(2016)
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Energy & Fuels
Abd El-Shafy A. Nafeh
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2011)
Article
Thermodynamics
Abd El-Shafy A. Nafeh
INTERNATIONAL JOURNAL OF GREEN ENERGY
(2010)
Article
Engineering, Electrical & Electronic
Abd El-Shafy A. Nafeh
INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS
(2011)
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Engineering, Electrical & Electronic
Abd El-Shafy A. Nafeh
INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS
(2011)
Article
Energy & Fuels
Hanaa M. Fargali, Abd El-Shafy A. Nafeh, Faten H. Fahmy, Mohamed A. Hassan
Article
Energy & Fuels
Amal A. Hassan, Faten H. Fahmy, Abd El-Shafy A. Nafeh, Mohamed A. Abu-elmagd
INTERNATIONAL JOURNAL OF SUSTAINABLE ENERGY
(2017)
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Engineering, Electrical & Electronic
AESA Nafeh
INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS
(2004)
Article
Energy & Fuels
AEA Nafeh, FH Fahmy, EMA El-Zahab
SOLAR ENERGY MATERIALS AND SOLAR CELLS
(2003)
Article
Engineering, Electrical & Electronic
AEA Nafeh, FH Fahmy, EM Abou El-Zahab
INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS
(2002)