Article
Environmental Studies
Animesh Masih, H. K. Verma
Summary: This study focuses on research for a hybrid PV/wind/battery energy system in remote areas, proposing a grasshopper optimization algorithm which shows to be more efficient compared to other algorithms. The results suggest that hybrid renewable energy systems are the optimal choice for remote areas.
ENERGY & ENVIRONMENT
(2022)
Article
Thermodynamics
Yi He, Su Guo, Jianxu Zhou, Guotao Song, Aynur Kurban, Haowei Wang
Summary: This paper proposes a hybrid electrical thermal energy storage system to mitigate the intermittency of renewable energy. The optimal sizing and operation of the system are achieved through a multi-stage framework that considers the minimization of net load and levelized cost of storage. The study shows that the hybrid system is more reliable and cost-effective compared to single thermal energy storage or single battery systems. The multi-stage framework outperforms rule-based operation strategies, and demand response can reduce the investment cost of the system effectively.
Article
Computer Science, Interdisciplinary Applications
Kaan Yildiz, George A. Lesieutre
Summary: This paper addresses the sizing and prestress optimization of Class-2 tensegrity booms using a particle swarm optimization approach, discussing both single-objective and multi-objective optimization problems. The results demonstrate the potential of tensegrity structures for implementation as space structures and the robustness of the particle swarm optimization algorithm, even for multi-objective optimization problems.
ENGINEERING WITH COMPUTERS
(2022)
Article
Energy & Fuels
Majed A. Alotaibi, Ali M. Eltamaly
Summary: The use of hybrid renewable energy systems, incorporating wind and solar energy with pumped hydro energy storage, is proposed as an efficient and cost-effective alternative to traditional battery storage systems. By implementing a smart grid with dynamic tariff demand response strategy, the system can reduce energy costs and greenhouse gas emissions significantly.
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
Energy & Fuels
Hussein M. K. Al-Masri, Sharaf K. Magableh, Ahmad Abuelrub, Khaled Alzaareer
Summary: This paper presents a study on the realistic coordination and sizing of a photovoltaic plant connected with a pumped-hydro storage system, using particle swarm optimization to find the optimal value of the reliability index. Two different scenarios were investigated, with results showing accurate modeling of the output power of system components when losses are considered.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Energy & Fuels
Delnia Sadeghi, Nima Amiri, Mousa Marzband, Abdullah Abusorrah, Khaled Sedraoui
Summary: This article proposes a design and optimization method for the sizing of hybrid renewable energy systems (HRESs) with power-sharing capabilities using electric vehicles (EVs). Two case studies are conducted to compare the simulation results with and without EVs, and it is found that the use of EVs significantly reduces the total cost of the system, with the multi-objective particle swarm optimization (MOPSO) performing better than the multi-objective crow search (MOCS).
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Multidisciplinary Sciences
Pham Vu Hong Son, Nghiep Trinh Nguyen Dang
Summary: The study introduces a hybrid multi-verse optimizer model (hDMVO) that combines the multi-verse optimizer (MVO) and the sine cosine algorithm (SCA) to solve the discrete time-cost trade-off problem (DTCTP). The optimality of the algorithm is evaluated using 23 benchmark test functions, demonstrating its competitiveness with other algorithms. The performance of hDMVO is further evaluated using four benchmark test problems, showing its superiority in time-cost optimization for large-scale and complex projects compared to previous algorithms.
SCIENTIFIC REPORTS
(2023)
Article
Computer Science, Information Systems
Zhaowei Gong, Jingang Li, Xiangqian Tong
Summary: High misalignment-insensitive capacity is achieved in an inductive power transfer system using a hybrid topology based on a parameter optimization design method. DDQ coils are employed to protect against system key parameter changes and a particle swarm optimization method is used to achieve nearly constant current output. Experimental results show that the current fluctuation is within 5% when the load varies from 5 omega to 10 omega within 50% misalignment, and the maximum system DC-DC efficiency is up to 91%.
Article
Energy & Fuels
Houssem R. E. H. Bouchekara, M. S. Shahriar, U. B. Irshad, Y. A. Sha'aban, M. A. Parvez Mahmud, M. S. Javaid, Makbul A. M. Ramli, Shahjadi Hisan Farjana
Summary: Designing a nanogrid involves intricate considerations and trade-offs among conflicting design objectives. This research proposes a synergistic Parallel Multiobjective PSO-based approach to optimally design a hybrid photovoltaic/diesel/battery nanogrid. The approach combines four optimization methods and achieves superior solutions compared to using each method individually.
Article
Engineering, Electrical & Electronic
Latifa El Boujdaini, Ahmed Mezrhab, Mohammed Amine Moussaoui, Francisco Jurado, David Vera
Summary: This paper aims to simulate the electric supply for homes in remote areas in Morocco, Spain, and Algeria, and optimize the proposed hybrid energy system using the particle swarm optimization method. The objective is to minimize the cost of energy and calculate the hydrogen production from the generated energy by PV and wind systems.
ELECTRICAL ENGINEERING
(2022)
Article
Energy & Fuels
Jinpeng Ma, Xueyu Yuan
Summary: This paper designs and compares hybrid PV systems with two main energy storage systems in remote areas. The research found that the PV/battery system in remote areas becomes more economical than the PV/hydrogen system as reliability decreases and interest rate increases. Moreover, the total configured capacity of solar panel in the PV/battery structure is smaller than that of the PV/hydrogen structure.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Computer Science, Artificial Intelligence
Bosong Duan, Chuangqiang Guo, Hong Liu
Summary: This paper presents a new hybrid genetic-particle swarm optimization algorithm that combines particle swarm optimization and genetic algorithm through parallel architecture. It takes advantage of the efficiency of PSO and the global optimization ability of GA. The algorithm uses PSO initially and switches to GA when the global best value does not change, aiming to escape local optima. The proposed GPSO algorithm also incorporates adaptive features and multi-point crossover operation to enhance the optimization ability. Experimental results show that the proposed algorithm outperforms other algorithms in terms of finding optimal value, convergence speed, and time overhead.
Article
Multidisciplinary Sciences
Yong Gao, Hao Zhang, Yingying Duan, Huaifeng Zhang
Summary: The particle swarm optimization algorithm (PSO) is widely used in many fields due to its concise concept and good optimization performance. However, it tends to fall into early convergence when solving complex multimodal optimization problems. This study proposes a new hybrid algorithm called PSOLFWM by combining the PSO algorithm with wavelet theory and levy flight theory to enhance population diversity and searching performance, resulting in higher quality solutions. Experimental results demonstrate that the proposed algorithm outperforms comparison methods in terms of convergence speed and accuracy, and it exhibits higher search stability and anti-interference performance. Statistical analyses further confirm the superiority of the proposed algorithm compared to other methods.
Article
Engineering, Civil
Maryam Javan Salehi, Mojtaba Shourian
Summary: This research compares the application and performance of MPC and PSO in real time control of a large-scale water transfer system. The study shows that MPC is more effective in optimizing management of systems with spontaneity in demand sector like Zarrinehrood, while PSO has limitations in solving large-scale optimization problems.
WATER RESOURCES MANAGEMENT
(2021)
Article
Green & Sustainable Science & Technology
Aida Orumiyehei, Mehran Ameri, Mohammad Hasan Nobakhti, Masud Zareh, Saeed Edalati
Summary: This study addresses the discontinuity and fluctuations in industrial waste heat and solar power by integrating waste heat recovery systems and Organic Rankine Cycle, as well as linear Fresnel collectors. Continuous and steady heat load is achieved in two sectors. The results reveal that the thermal and exergy efficiencies of the system are 12.3% and 16.35%, respectively, under constant and continuous thermal power.
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
Green & Sustainable Science & Technology
Jingchao Liu, Lixue Mei, Akbar Maleki, Roghayeh Ghasempour, Fathollah Pourfayaz
Summary: This paper presents a new global dynamic harmony search method for optimal sizing of a hybrid photovoltaic-battery scheme. The impact of solar panel types on the optimal sizing of the hybrid scheme is investigated, and the effectiveness of different algorithms is compared.
Article
Energy & Fuels
Hao Liu, Baojia Wu, Akbar Maleki, Fathollah Pourfayaz
Summary: This article presents an improved approach based on an energy management strategy for optimizing the sizing and configuration of standalone photovoltaic systems. The improved particle swarm optimization method shows better performance with lower cost, faster convergence, and improved reliability indexes compared to other approaches.
ENERGY SCIENCE & ENGINEERING
(2022)
Editorial Material
Energy & Fuels
Akbar Maleki, Mohammad Alhuyi Nazari, Mostafa Safdari Shadloo, Weiping Zhang
FRONTIERS IN ENERGY RESEARCH
(2022)
Article
Thermodynamics
Weiping Zhang, Akbar Maleki
Summary: This study designs and models four stand-alone desalination plants driven by renewable energy and back-up systems to address the challenges of water and electricity supply in remote areas. The optimization algorithm ensures the optimal design in terms of economic, environmental, and reliability factors.
Article
Thermodynamics
Zeinab Rezvani, Hamid Mortezapour, Mehran Ameri, Hamid-Reza Akhavan, Selcuk Arslan
Summary: Drying with a continuous infrared-refractance window dryer coupled with a double-pass photovoltaic-thermal solar collector was investigated in this study. The effects of different drying air flow rates and Spirulina feeding rates on the drying performance were analyzed.
HEAT AND MASS TRANSFER
(2022)
Article
Energy & Fuels
Sayyed Mostafa Mahmoudi, Akbar Maleki, Dariush Rezaei Ochbelagh
Summary: The article investigates the application of hybrid renewable energy systems in remote areas, analyzes the economic and sensitivity of different scenarios, and designs an optimization method for the hybrid energy system size to improve efficiency.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Green & Sustainable Science & Technology
Akbar Maleki
Summary: This article investigates the optimal configuration problem of Stand-alone Hybrid Energy Systems (SHES) and proposes five improved particle swarm intelligence algorithms. Comparison of the algorithms over 30 independent runs reveals that PSO-III demonstrates superior convergence speed and accuracy. Sensitivity analysis of SHES indicates that the Total Net Annual Cost (TNAC) is influenced by changes in reliability index and number of iterations.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Engineering, Multidisciplinary
Mina Mirhosseini, Azim Heydari, Davide Astiaso Garcia, Francesco Mancini, Farshid Keynia
Summary: This paper proposes a novel analytical method for prioritizing components in distribution systems by introducing a weighted cumulative Reliability-based diagnostic importance factor. By allocating resources to the most critical components, the reliability of the system can be improved and maintenance costs can be reduced.
OPTIMIZATION AND ENGINEERING
(2022)
Article
Energy & Fuels
Farshid Keynia, Mina Mirhosseini, Azim Heydari, Afef Fekih
Summary: This study introduces a new RMC approach that allocates maintenance budgets based on component criticality and importance. A new diagnostic importance factor is introduced to prioritize components for maintenance activities and budget allocation. The proposed RMC framework improves reliability indexes, reduces maintenance cost, and enables efficient management of limited resources.
Article
Green & Sustainable Science & Technology
Azim Heydari, Meysam Majidi Nezhad, Farshid Keynia, Afef Fekih, Nasser Shahsavari-Pour, Davide Astiaso Garcia, Giuseppe Piras
Summary: This paper introduces a new optimization strategy for hybrid-renewable energy systems in microgrids. The strategy combines a multi-objective optimization algorithm, the Taguchi method, and a fuzzy decision-making approach to achieve the best utilization of renewable energy sources while minimizing the cost of energy and power supply probability loss. The strategy was implemented and tested on the design optimization of a hybrid renewable energy system for different scenarios in Sonderborg, Denmark.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Green & Sustainable Science & Technology
Hadi Farzan, Mehran Ameri, Mojtaba Mahmoudi
Summary: The current study introduces a new planar thermal diode integrated collector storage (ICSs) system and analyzes its transient dynamics and performance under field conditions. It was found that utilizing partial vacuums may decrease performance, but the best retention and collection efficiencies were obtained at a total pressure of 0.7 atm. However, increasing the partial vacuums to a total pressure of 0.5 atm significantly decreased the retention efficiency.
Article
Green & Sustainable Science & Technology
Maryam Salajeghe, Mehran Ameri
Summary: This article presents a novel hybrid model for water desalination and compares energy consumption and brine discharge of different desalination configurations. The findings demonstrate that the hybrid system can reduce energy consumption and brine discharge.
ENVIRONMENTAL PROGRESS & SUSTAINABLE ENERGY
(2023)
Review
Thermodynamics
Arman Haghighi, Akbar Maleki, Mamdouh El Haj Assad, Lingen Chen, Mohammad Alhuyi Nazari, Mostafa Safdari Shadloo
Summary: Heat pipes are widely used for thermal management in high heat flux devices. Special working fluids such as hydrogen, neon, and nitrogen are necessary for efficient heat transfer at very low temperatures. The performance of cryogenic heat pipes depends on factors like filling ratio, input power, and working fluid, with their effective thermal conductivity surpassing that of conductive metals significantly. Further research is recommended to enhance the performance of cryogenic heat pipes.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2022)
Article
Green & Sustainable Science & Technology
Cameron Bracken, Nathalie Voisin, Casey D. Burleyson, Allison M. Campbell, Z. Jason Hou, Daniel Broman
Summary: This study presents a methodology and dataset for examining compound wind and solar energy droughts, as well as the first standardized benchmark of energy droughts across the Continental United States (CONUS) for a 2020 infrastructure. The results show that compound wind and solar droughts have distinct spatial and temporal patterns across the CONUS, and the characteristics of energy droughts are regional. The study also finds that compound high load events occur more often during compound wind and solar droughts than expected.
Article
Green & Sustainable Science & Technology
Ning Zhang, Yanghao Yu, Jiawei Wu, Ershun Du, Shuming Zhang, Jinyu Xiao
Summary: This paper provides insights into the optimal configuration of CSP plants with different penetrations of wind power by proposing an unconstrained optimization model. The results suggest that large solar multiples and TES are preferred in order to maximize profit, especially when combined with high penetrations of wind and photovoltaic plants. Additionally, the study demonstrates the economy and feasibility of installing electric heaters (EH) in CSP plants, which show a linear correlation with the penetration of variable energy resources.
Article
Green & Sustainable Science & Technology
M. Szubel, K. Papis-Fraczek, S. Podlasek
Article
Green & Sustainable Science & Technology
J. Silva, J. C. Goncalves, C. Rocha, J. Vilaca, L. M. Madeira
Summary: This study investigated the methanation of CO2 in biogas and compared two different methanation reactors. The results showed that the cooled reactor without CO2 separation achieved a CO2 conversion rate of 91.8%, while the adiabatic reactors achieved conversion rates of 59.6% and 67.2%, resulting in an overall conversion rate of 93.0%. Economic analysis revealed negative net present worth values, indicating the need for government monetary incentives.
Article
Green & Sustainable Science & Technology
Yang Liu, Yonglan Xi, Xiaomei Ye, Yingpeng Zhang, Chengcheng Wang, Zhaoyan Jia, Chunhui Cao, Ting Han, Jing Du, Xiangping Kong, Zhongbing Chen
Summary: This study investigated the effect of using nanofiber membrane composites containing Prussian blue-like compound nanoparticles (PNPs) to relieve ammonia nitrogen inhibition of rural organic household waste during high-solid anaerobic digestion and increase methane production. The results showed that adding NMCs with 15% PNPs can lower the concentrations of volatile fatty acids and ammonia nitrogen, and increase methane yield.
Article
Green & Sustainable Science & Technology
Zhong Ge, Xiaodong Wang, Jian Li, Jian Xu, Jianbin Xie, Zhiyong Xie, Ruiqu Ma
Summary: This study evaluates the thermodynamic, exergy, and economic performance of a double-stage organic flash cycle (DOFC) using ten eco-friendly hydrofluoroolefins. The influences of key parameters on performance are analyzed, and the advantages of DOFC over single-stage type are quantified.
Article
Green & Sustainable Science & Technology
Nicolas Kirchner-Bossi, Fernando Porte-Agel
Summary: This study investigates the optimization of power density in wind farms and its sensitivity to the available area size. A novel genetic algorithm (PDGA) is introduced to optimize power density and turbine layout. The results show that the PDGA-driven solutions significantly reduce the levelized cost of energy (LCOE) compared to the default layout, and exhibit a convex relationship between area and LCOE or power density.
Article
Green & Sustainable Science & Technology
Chunxiao Zhang, Dongdong Li, Lin Wang, Qingpo Yang, Yutao Guo, Wei Zhang, Chao Shen, Jihong Pu
Summary: In this study, a novel reversible liquid-filled energy-saving window that effectively regulates indoor solar radiation heat gain is proposed. Experimental results show that this window can effectively reduce indoor temperature during both summer and winter seasons, while having minimal impact on indoor illuminance.
Article
Green & Sustainable Science & Technology
Alessandro L. Aguiar, Martinho Marta-Almeida, Mauro Cirano, Janini Pereira, Leticia Cotrim da Cunha
Summary: This study analyzed the Brazilian Equatorial Shelf using a high-resolution ocean model and found significant tidal variations in the area. Several hypothetical barrages were proposed with higher annual power generation than existing barrages. The study also evaluated the installation effort of these barrages.
Article
Green & Sustainable Science & Technology
Francesco Superchi, Nathan Giovannini, Antonis Moustakis, George Pechlivanoglou, Alessandro Bianchini
Summary: This study focuses on the optimization of a hybrid power station on the Tilos island in Greece, aiming to increase energy export and revenue by optimizing energy fluxes. Different scenarios are proposed to examine the impact of different agreements with the grid operator on the optimal solution.
Article
Green & Sustainable Science & Technology
Peimaneh Shirazi, Amirmohammad Behzadi, Pouria Ahmadi, Sasan Sadrizadeh
Summary: This research presents two novel energy production/storage/usage systems to reduce energy consumption and environmental effects in buildings. A biomass-fired model and a solar-driven system integrated with photovoltaic thermal (PVT) panels and a heat pump were designed and assessed. The results indicate that the solar-based system has an acceptable energy cost and the PVT-based system with a heat pump is environmentally superior. The biomass-fired system shows excellent efficiency.
Article
Green & Sustainable Science & Technology
Zihao Qi, Yingling Cai, Yunxiang Cui
Summary: This study aims to investigate the operational characteristics of the solar-ground source heat pump system (SGSHPS) in Shanghai under different operation modes. It concludes that tandem operation mode 1 is the optimal mode for winter operation in terms of energy efficiency.
Article
Green & Sustainable Science & Technology
L. Bartolucci, S. Cordiner, A. Di Carlo, A. Gallifuoco, P. Mele, V. Mulone
Summary: Spent coffee grounds are a valuable biogenic waste that can be used as a source of biofuels and valuable chemicals through pyrolysis and solvent extraction processes. The study found that heavy organic bio-oil derived from coffee grounds can be used as a carbon-rich biofuel, while solvent extraction can extract xantines and p-benzoquinone, which are important chemicals for various industries. The results highlight the promising potential of solvent extraction in improving the economic viability of coffee grounds pyrolysis-based biorefineries.
Article
Green & Sustainable Science & Technology
Luiza de Queiroz Correa, Diego Bagnis, Pedro Rabelo Melo Franco, Esly Ferreira da Costa Junior, Andrea Oliveira Souza da Costa
Summary: Building-integrated photovoltaics, especially organic solar technology, are important for reducing greenhouse gas emissions in the building sector. This study analyzed the performance of organic panels laminated in glass in a vertical installation in Latin America. Results showed that glass lamination and vertical orientation preserved the panels' performance and led to higher energy generation in winter.
Article
Green & Sustainable Science & Technology
Zhipei Hu, Shuo Jiang, Zhigao Sun, Jun Li
Summary: This study proposes innovative fin arrangements to enhance the thermal performance of latent heat storage units. Through optimization of fin distribution and prediction of transient melting behaviors, it is found that fin structures significantly influence heat transfer characteristics and melting behaviors.
