Review
Energy & Fuels
Sidique Gawusu, Rhoda Afriyie Mensah, Oisik Das
Summary: This study explores how data mining can uncover patterns and trends in distributed generation (DG) through the use of bibliometric analysis. It finds that previous research on system performance and optimization has provided a solid conceptual framework for this domain, and emphasizes the importance of integrating new technologies and sustainability concerns.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Bahman Ahmadi, Oguzhan Ceylan, Aydogan Ozdemir
Summary: Renewable distributed generation and energy storage systems have revolutionized energy supply by introducing a new approach which should be optimally planned and operated. The proposed multi-objective multiverse optimization method has been shown to outperform other algorithms in improving voltage profiles and reducing costs.
JOURNAL OF ENERGY STORAGE
(2021)
Review
Green & Sustainable Science & Technology
Sidique Gawusu, Xiaobing Zhang, Abubakari Ahmed, Seidu Abdulai Jamatutu, Elvis Djam Miensah, Ayesha Algade Amadu, Frimpong Atta Junior Osei
Summary: The integration of blockchain technology into renewable energy has gained significant attention, indicating a focus on addressing challenges in the evolution process and providing sustainable alternative energy solutions.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Engineering, Multidisciplinary
Ashraf Mohamed Hemeida, Ahmed Shaban Omer, Ayman M. Bahaa-Eldin, Salem Alkhalaf, Mahrous Ahmed, Tomnobu Senjyu, Gaber El-Saady
Summary: This paper introduces the potential of hybrid micro-grid systems (HMGS) as an energy solution and proposes a design method for hybrid systems to meet the energy demand in remote areas. The multi-objective multi-verse optimization algorithm is used for system design, and various configurations are studied and analyzed. The simulation results show that PV/wind/battery/diesel is the optimum configuration.
AIN SHAMS ENGINEERING JOURNAL
(2022)
Article
Engineering, Chemical
Jochen Bundschuh, Michal Kaczmarczyk, Noreddine Ghaffour, Barbara Tomaszewska
Summary: In the past decade, there has been a global increase in the use of alternative energy sources, especially in desalination, where various renewable energy sources such as solar, wind, and hydro power are widely applied. Despite some techno-economic limitations, further research and demonstration units are needed to combine renewable energy with desalination processes for longer term performance.
Article
Green & Sustainable Science & Technology
Morteza Zare Oskouei, Behnam Mohammadi-Ivatloo, Ozan Erdinc, Fatma Guelsen Erdinc
Summary: This paper introduces a unified decision-making structure to address the risk of system collapse in power networks, by partitioning the network into several areas and optimizing the allocation of renewable generation to increase capacity and reduce energy exchange between partitions.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2021)
Article
Energy & Fuels
Angela Flores-Quiroz, Kai Strunz
Summary: An integrated generation, transmission, and energy storage planning model is proposed to account for short-term constraints and long-term uncertainty, using scenario tree to represent the latter. A distributed computing framework based on Column Generation and Sharing algorithm is introduced to overcome computational burden, resulting in improved performance on the NREL 118-bus power system.
Article
Thermodynamics
R. Dominguez, S. Vitali
Summary: Renewable sources are increasingly integrated into power systems for decarbonization, but their variability introduces uncertainty, requiring fast generating and storage units. Adequate representation of renewable variability in capacity expansion problems is crucial, often selected through clustering techniques. Trade-offs exist in current clustering algorithms, highlighting the need for innovative approaches to accurately capture inter-temporal correlation and representativeness with minimal clusters.
Article
Energy & Fuels
Sara Fakih, Mohamed Tahar Mabrouk, Mireille Batton-Hubert, Bruno Lacarriere
Summary: This paper proposes a bi-level multi-objective optimization model for the optimal design and operation of renewable energy sources and storage systems in an existing electrical grid. The model combines particle swarm optimization and dynamic linear AC-optimal power flow. Different scenarios were applied to a test system to analyze the behavior and integration effects of RES and BES. The results show that the complexity of CO2 constraints requires more RES and BES installations, leading to increased costs.
Article
Energy & Fuels
Nicholas Gilmore, Thomas Britz, Erik Maartensson, Carlo Orbegoso-Jordan, Sebastian Schroder, Martino Malerba
Summary: This study assesses the feasibility of micro-pumped hydro energy storage on a continental scale and suggests using agricultural reservoirs to reduce construction costs. Through a survey of farm dams in Australia, a large number of suitable pumped hydro sites are identified. Compared to lithium-ion batteries, pumped hydro storage has lower costs for larger storage capacities, despite lower discharge efficiency, making it a viable option for reliable and low-carbon power systems in rural communities.
Review
Green & Sustainable Science & Technology
Abraham Alem Kebede, Theodoros Kalogiannis, Joeri Van Mierlo, Maitane Berecibar
Summary: This study investigates the current status and applicability of energy storage devices and identifies the most suitable types for grid support applications. Various criteria such as technical, economic, and environmental impact evaluations are considered to determine the characteristics and potentials of different storage technologies. The findings show that a hybrid solution with a combination of various storage devices is a viable option in the sector.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Review
Energy & Fuels
Saima Ishaq, Irfan Khan, Syed Rahman, Tanveer Hussain, Atif Iqbal, Rajvikram Madurai Elavarasan
Summary: This paper provides an in-depth literature review on the different control structures of microgrids. It categorizes microgrids based on various criteria and discusses hierarchical controls and control strategies for integrating renewable energy resources. The paper also analyzes different control methods and addresses major issues in the current infrastructure.
Article
Computer Science, Hardware & Architecture
Prem Kumar Chaurasiya, Julian L. Webber, Abolfazl Mehbodniya, Mohd Anul Haq, Anil Kumar, Priyanka Paliwal
Summary: This paper proposes a generalized mathematical structure for generation expansion planning (GEP) that takes into account the intermittency of renewable energy sources (RES) and suggests a plan for adding RES and storage units. It uses a decentralized multi-agent system (MAS) and butterfly particle swarm optimization (BFPSO) technique for parallel processing, presenting a more efficient and accurate alternative to existing optimization techniques. The results show that the proposed algorithm provides a cost benefit of 3.5% compared to classic PSO and achieves faster convergence.
JOURNAL OF SUPERCOMPUTING
(2022)
Article
Chemistry, Analytical
Yoon-Sik Yoo, Seung Hyun Jeon, S. H. Shah Newaz, Il-Woo Lee, Jun Kyun Choi
Summary: The paper proposes an energy broker model to boost energy trading between the existing power grid and energy consumers. Through using dual decomposition to decide the optimal demand and dynamic pricing, it can maximize profits.
Article
Thermodynamics
Ahmed G. Abo-Khalil, Maaza Abdalla, Ramesh C. Bansal, Nsilulu T. Mbungu
Summary: This study explores islanding detection methods for distributed generators to ensure the safety and reliability of electrical networks. By evaluating various methods, including passive, active, and remote techniques, the study detects islanding phenomena in distributed generation networks, studying their merits, demerits, and overall efficacy.
CASE STUDIES IN THERMAL ENGINEERING
(2023)
