Article
Green & Sustainable Science & Technology
Hani Albalawi, Mohamed E. El-Shimy, Hosam AbdelMeguid, Ahmed M. Kassem, Sherif A. Zaid
Summary: Hybrid wind/PV microgrids have shown great potential, but their control and energy management face challenges. This paper proposes the use of a BELBIC controller to address these challenges and demonstrates its superior performance in compensating for the intermittence and disturbances of wind and PV energies.
Article
Automation & Control Systems
Mostefa Kermadi, Zainal Salam, Jubaer Ahmed, El Madjid Berkouk
Summary: The article introduces a fast and efficient MPPT for PV systems under rapidly changing shading conditions, reducing search path length and minimizing the search area using intelligent mechanisms. Evaluation against other algorithms shows superior performance in terms of speed and reliability.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Energy & Fuels
Kari Lappalainen, Seppo Valkealahti
Summary: This experimental study investigates the MPP characteristics of partially shaded strings of photovoltaic modules, eliminating the shortcomings of previous studies based on hypothetical shading patterns. The research shows that the global MPP voltage fluctuates widely, and by using the MPP closest to the nominal voltage as the operating point, significant reduction in energy losses can be achieved.
Article
Chemistry, Analytical
Mohamed A. Sharaf, Hammad Armghan, Naghmash Ali, Amr Yousef, Yasser S. Abdalla, Anis R. Boudabbous, Hafiz Mehdi, Ammar Armghan
Summary: In this paper, a two-step controller is proposed for the DC microgrid, utilizing a combination of deep neural network and exponential reaching law-based global terminal sliding mode control. The effectiveness of the control algorithm is examined through MATLAB simulations and experimental tests. The proposed framework is shown to outperform traditional sliding mode control and terminal sliding mode control, demonstrating its superiority and robustness.
Article
Green & Sustainable Science & Technology
Yongchun Jiang, Jianguo Xu, Xiujuan Leng, Nasrin Eghbalian
Summary: The generation power of solar cells depends on temperature and solar radiation, but is also affected by shadows caused by various unconventional phenomena. To improve efficiency, rearranging solar arrays to distribute shadows uniformly can be effective. An algorithm based on different shadow patterns and a new method for MPPT under various shadow conditions have been proposed for higher productivity of photovoltaic arrays.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Energy & Fuels
Ahmad Al-Othman, Tariq Younes, Ibrahim Al-Adwan, Mohammad Al Khawaldah, Hamza Alauthman, Mohammad Alkhedher, Mohamad Ramadan
Summary: This study aims to develop a sun-tracking system that can adjust the solar panel's orientation to generate the maximum possible electrical output from solar energy regardless of the local climate. A hybrid controller has been created that combines an open-loop sun monitoring system with a dynamic feedback controller built on an active search algorithm. The testing phase showed an increase of about 35% in the generated power of a solar panel, confirming the effectiveness of the newly proposed sun tracker hybrid control system.
Article
Energy & Fuels
Waleed Al Abri, Rashid Al Abri, Hassan Yousef, Amer Al-Hinai
Summary: This paper proposes modifications to the GMPP BES method so that it runs as an MPPT, enabling it to accurately detect minor changes in insolation and temperature and locate the maximum power point. Experimental results confirm the improved performance of the modified method compared to the perturb and observe method.
Article
Engineering, Electrical & Electronic
Salim Makhloufi, Saad Mekhilef
Summary: This article introduces a logarithmic PSO method for designing an MPPT that combines global and local maximum power point tracking, addressing the power ripple and slow convergence speed issues during the search process under partial shading conditions. The method simplifies the design process and requires tuning only one parameter.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2022)
Article
Chemistry, Physical
Lei Xiaoping, Qin Yunyou, Sanam SaeidNahaei
Summary: To exploit photovoltaic systems efficiently, it is important to find the maximum output power. A novel method for Maximum Power Point (MPP) tracking under partially shaded conditions combining observational tracking and constant-voltage methods is proposed. Experimental results show that considering MPPs can increase the output power by about 10% under partially shaded conditions.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Computer Science, Information Systems
Kasun Piyumal, Aruna Ranaweera, Sudath Kalingamudali, Nihal Kularatna
Summary: This article introduces a novel supercapacitor-assisted technique to improve the efficiency of PV systems by enhancing the overall system efficiency through series connection of a supercapacitor bank with a PV array. Research findings show that this approach can significantly increase the average efficiency of PV systems.
Article
Green & Sustainable Science & Technology
Alessandro N. Vargas, Gabriel R. Francisco, Marcio A. F. Montezuma, Leonardo P. Sampaio, Leonardo Acho
Summary: The paper introduces the construction of a low-cost photovoltaic educational kit to promote photovoltaic engineering education. By using real-time data and a linear model, a solar tracker equipment that effectively extracts photovoltaic energy with an improved energy efficiency of about 32% has been designed. This low-cost equipment has significant benefits for photovoltaic education.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Green & Sustainable Science & Technology
Santi Agatino Rizzo, Giacomo Scelba
Summary: This paper discusses the complex task of global maximum power point tracking (GMPPT) in rapidly variable irregular shading conditions, proposing a hybrid two-stages algorithm that combines artificial neural network and segmentation-based methods to predict optimal operating conditions and use a traditional hill-climbing method to track the maximum power point. Simulative and experimental tests confirm the effectiveness of this method, showing that a simple artificial neural network structure combined with a standard segmentation-based method performs well in applications with frequently changing environmental conditions.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Computer Science, Information Systems
Liang-Rui Chen, Chia-Hsuan Wu, Neng-Yi Chu, Cheng-Chih Chou, Fan-Jun Zheng
Summary: This paper proposes a novel battery current-sharing power decoupling (BCSPD) method for hybrid photovoltaic (PV) power systems. By parallelly connecting the BCSPD circuit with the string PV module, a single-stage topology is achieved, greatly reducing the required capacitance on the PV side and improving the power conversion efficiency of the system.
Article
Chemistry, Multidisciplinary
Kuei-Hsiang Chao, Shu-Wei Zhang
Summary: This paper presents an improved version of the firefly algorithm (FA) to track down the global maximum power point (GMPP) of a partially shaded photovoltaic module array (PVMA). A high-voltage step-up converter with a coupled inductor is developed to raise the voltage gain. The improved FA outperforms the original algorithm in terms of tracking time, ensuring that the desired GMPP can be tracked down efficiently.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Electrical & Electronic
Hammad Armghan, Ming Yang, Ammar Armghan, Naghmash Ali
Summary: This paper introduces a double integral sliding mode based nonlinear controller for grid-connected hybrid wind-PV system to enhance stability and efficiency. The study designs an efficient wind-PV generator system topology and validates the superiority of the controller through simulations and experiments.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Thermodynamics
Yong Cheng, Fukai Song, Lei Fu, Saishuai Dai, Zhiming Yuan, Atilla Incecik
Summary: This paper investigates the accessibility of wave energy absorption by a dual-pontoon floating breakwater integrated with hybrid-type wave energy converters (WECs) and proposes a hydraulic-pneumatic complementary energy extraction method. The performance of the system is validated through experiments and comparative analysis.
Article
Thermodynamics
Jing Gao, Chao Wang, Zhanwu Wang, Jin Lin, Runkai Zhang, Xin Wu, Guangyin Xu, Zhenfeng Wang
Summary: This study aims to establish a new integrated method for biomass cogeneration project site selection, with a focus on the application of the model in Henan Province. By integrating Geographic Information System and Multiple Criterion Decision Making methods, the study conducts site selection in two stages, providing a theoretical reference for the construction of biomass cogeneration projects.
Article
Thermodynamics
Mert Temiz, Ibrahim Dincer
Summary: The current study presents a hybrid small modular nuclear reactor and solar-based system for sustainable communities, integrating floating and bifacial photovoltaic arrays with a small modular reactor. The system efficiently generates power, hydrogen, ammonia, freshwater, and heat for residential, agricultural, and aquaculture facilities. Thermodynamic analysis shows high energy and exergy efficiencies, as well as large-scale ammonia production meeting the needs of metropolitan areas. The hybridization of nuclear and solar technologies offers advantages of reliability, environmental friendliness, and cost efficiency compared to renewable-alone and fossil-based systems.
Editorial Material
Thermodynamics
Wojciech Stanek, Wojciech Adamczyk
Article
Thermodynamics
Desheng Xu, Yanfeng Li, Tianmei Du, Hua Zhong, Youbo Huang, Lei Li, Xiangling Duanmu
Summary: This study investigates the optimization of hybrid mechanical-natural ventilation for smoke control in complex metro stations. The results show that atrium fires are more significantly impacted by outdoor temperature variations compared to concourse/platform fires. The gathered high-temperature smoke inside the atrium can reach up to 900 K under a 5 MW train fire energy release. The findings provide crucial engineering insights into integrating weather data and adaptable ventilation protocols for smoke prevention/mitigation.
Article
Thermodynamics
Da Guo, Heping Xie, Mingzhong Gao, Jianan Li, Zhiqiang He, Ling Chen, Cong Li, Le Zhao, Dingming Wang, Yiwei Zhang, Xin Fang, Guikang Liu, Zhongya Zhou, Lin Dai
Summary: This study proposes a new in-situ pressure-preserved coring tool and elaborates its pressure-preserving mechanism. The experimental and field test results demonstrate that this tool has a high pressure-preservation capability and can maintain a stable pressure in deep wells. This study provides a theoretical framework and design standards for the development of similar technologies.
Article
Thermodynamics
Aolin Lai, Qunwei Wang
Summary: This study assesses the impact of China's de-capacity policy on renewable energy development efficiency (REDE) using the Global-MSBM model and the difference-in-differences method. The findings indicate that the policy significantly enhances REDE, promoting technological advancements and marketization. Moreover, regions with stricter environmental regulations experience a higher impact.
Article
Thermodynamics
Mostafa Ghasemi, Hegazy Rezk
Summary: This study utilizes fuzzy modeling and optimization to enhance the performance of microbial fuel cells (MFCs). By simulating and analyzing experimental data sets, the ideal parameter values for increasing power density, COD elimination, and coulombic efficiency were determined. The results demonstrate that the fuzzy model and optimization methods can significantly improve the performance of MFCs.
Article
Thermodynamics
Zhang Ruan, Lianzhong Huang, Kai Wang, Ranqi Ma, Zhongyi Wang, Rui Zhang, Haoyang Zhao, Cong Wang
Summary: This paper proposes a grey box model for fuel consumption prediction of wing-diesel hybrid vessels based on feature construction. By using both parallel and series grey box modeling methods and six machine learning algorithms, twelve combinations of prediction models are established. A feature construction method based on the aerodynamic performance of the wing and the energy relationship of the hybrid system is introduced. The best combination is obtained by considering the root mean square error, and it shows improved accuracy compared to the white box model. The proposed grey box model can accurately predict the daily fuel consumption of wing-diesel hybrid vessels, contributing to operational optimization and the greenization and decarbonization of the shipping industry.
Article
Thermodynamics
Huayi Chang, Nico Heerink, Junbiao Zhang, Ke He
Summary: This study examines the interaction between off-farm employment decisions between couples and household clean energy consumption in rural China, and finds that two-paycheck households are more likely to consume clean energy. The off-farm employment of women is a key factor driving household clean energy consumption to a higher level, with wage-employed wives having a stronger influence on these decisions than self-employed ones.
Article
Thermodynamics
Hanguan Wen, Xiufeng Liu, Ming Yang, Bo Lei, Xu Cheng, Zhe Chen
Summary: Demand-side management is crucial to smart energy systems. This paper proposes a data-driven approach to understand the relationship between energy consumption patterns and household characteristics for better DSM services. The proposed method uses a clustering algorithm to generate optimal customer groups for DSM and a deep learning model for training. The model can predict the possibility of DSM membership for a given household. The results demonstrate the usefulness of weekly energy consumption data and household socio-demographic information for distinguishing consumer groups and the potential for targeted DSM strategies.
Article
Thermodynamics
Xinglan Hou, Xiuping Zhong, Shuaishuai Nie, Yafei Wang, Guigang Tu, Yingrui Ma, Kunyan Liu, Chen Chen
Summary: This study explores the feasibility of utilizing a multi-level horizontal branch well heat recovery system in the Qiabuqia geothermal field. The research systematically investigates the effects of various engineering parameters on production temperature, establishes mathematical models to describe their relationships, and evaluates the economic viability of the system. The findings demonstrate the significant economic feasibility of the multi-level branch well system.
Article
Thermodynamics
Longxin Zhang, Songtao Wang, Site Hu
Summary: This investigation reveals the influence of tip leakage flow on the modern transonic rotor and finds that the increase of tip clearance size leads to a decline in rotor performance. However, an optimal tip clearance size can extend the rotor's stall margin.
Article
Thermodynamics
Kristian Gjoka, Behzad Rismanchi, Robert H. Crawford
Summary: This paper proposes a framework for assessing the performance of 5GDHC systems and demonstrates it through a case study in a university campus in Melbourne, Australia. The results show that 5GDHC systems are a cost-effective and environmentally viable solution in mild climates, and their successful implementation in Australia can create new market opportunities and potential adoption in other countries with similar climatic conditions.
Article
Thermodynamics
Jianwei Li, Guotai Wang, Panpan Yang, Yongshuang Wen, Leian Zhang, Rujun Song, Chengwei Hou
Summary: This study proposes an orientation-adaptive electromagnetic energy harvester by introducing a rotatable bluff body, which allows for self-regulation to cater for changing wind flow direction. Experimental results show that the output power of the energy harvester can be greatly enhanced with increased rotatory inertia of the rotating bluff body, providing a promising solution for harnessing wind-induced vibration energy.