Article
Thermodynamics
Samuele Memme, Alessia Boccalatte, Massimo Brignone, Federico Delfino, Marco Fossa
Summary: The study focuses on integrating a thermal energy storage (TS) system in the Smart Polygeneration Microgrid (SPM) to increase the operation hours of gas turbines and reduce greenhouse gas emissions.
APPLIED THERMAL ENGINEERING
(2022)
Article
Thermodynamics
Ahmed G. Abo-Khalil, Khairy Sayed, Ali Radwan, Ibrahim I. A. El-Sharkawy
Summary: The UAE has favorable weather conditions for integrating renewable energies, especially photovoltaic solar energy, into the utility grid. It possesses one of the highest rates of solar radiation in the world, which contributes to reducing greenhouse gas emissions. This article discusses a study on controlling the variability of electricity production from solar energy and improving its integration for self-consumption. It covers topics such as energy storage, photovoltaic production, and optimizing the dimensioning of production systems. The research also examines the economic feasibility and profitability of this technology for a selected building.
CASE STUDIES IN THERMAL ENGINEERING
(2023)
Article
Engineering, Chemical
Moussa Gaptia Lawan, Mamadou Bailo Camara, Abdulkareem Shaheed Sabr, Brayima Dakyo, Ahmed Al Ameri
Summary: This paper presents a simulation of an insulated micro-grid system based on the three-level converters control for energy management. Different renewable power sources, battery energy storage system (BESS), and a variable diesel generator are used in the system. The research focuses on improving energy transfer quality, dynamic interactions, and maximizing energy production from renewable sources.
Article
Engineering, Electrical & Electronic
Femina Mohammed Shakeel, Om P. Malik
Summary: This paper describes and evaluates an adaptive neuro-fuzzy inference system (ANFIS) based energy management system (EMS) for a vehicle-to-grid integrated micro-grid. The ANFIS-based EMS is compared with a fuzzy-based EMS, showing that ANFIS can provide better power allocation.
ELECTRIC POWER COMPONENTS AND SYSTEMS
(2022)
Article
Energy & Fuels
Ayman Al-Quraan, Muhannad Al-Qaisi
Summary: This paper discusses the design and control of a standalone microgrid system consisting of a combination of PV and WECS to supply power to remote areas, with the application of fuzzy logic-based MPPT technology for power optimization. The system aims to efficiently deliver energy to meet load requirements and protect battery banks under various conditions.
Article
Green & Sustainable Science & Technology
M. A. Ben Taher, B. E. Lebrouhi, S. Mohammad, E. Schall, T. Kousksou
Summary: This paper presents the optimal sizing of a grid-connected PV system for a public building and electric vehicles, aiming to reduce carbon footprint and energy costs. The study shows that the optimal configuration of the system includes 1093 kW installed PV power, generating 1.42 x 10(6) kWh/year and avoiding emissions of 20 tonnes CO(2)eq/year. This research can contribute to the decarbonization process of the energy sector in France.
CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY
(2022)
Article
Green & Sustainable Science & Technology
Gabor Pinter, Henrik Zsiboracs, Nora Hegedusne Baranyai
Summary: The global energy markets have witnessed a significant increase in the share of renewable energy sources in the past decade, with a projection that over half of the electric power will come from renewables by 2030. This transition necessitates the successful integration of unconventional energy into existing systems to ensure sustainability and security of electricity supply. Hungary has also been prioritizing sustainability, reflected in efforts to reduce reliance on fossil fuel-generated electricity through the installation of household-sized photovoltaic power plants. However, the Hungarian electric energy system faces challenges due to insufficient flexibility and an increasing frequency of technical problems with the growing penetration of photovoltaic systems. Energy storage technologies present a potential solution for these challenges, but there is a lack of information on the recommended storage size and investment needs for the efficient integration of Hungarian photovoltaic systems into the electric energy system. This study aims to examine the quantity and power of Hungarian photovoltaic systems over time to determine the nominal energy storage power and capacity required, and to present the associated investment needs.
Article
Multidisciplinary Sciences
Cui Yong, Mingzhen Shao, Xiaoqian Zhou, Liu Wen, Ji Desen, Thomas Stephen Ramsey
Summary: This paper investigates the impact of photovoltaic system reactive power service on the energy efficiency of the power grid. Based on a multi-temporal and spatial scale operation mode, the study explores the principles and laws of photovoltaic system reactive power services on grid energy efficiency. The research findings provide decision-making references for dynamic energy efficiency management and offer empirical data for improving the theory of renewable energy participation in auxiliary service market transactions.
Article
Energy & Fuels
Gokay Bayrak, Davut Ertekin, Hassan Haes Alhelou, Pierluigi Siano
Summary: This study examined the electrical criteria of the Turkish Grid Code and proposed a real-time energy management system (RTEMS) for a PV-based DG. The RTEMS method implemented inverter-resident system can detect various voltage and frequency issues in real-time, meeting grid-code requirements and eliminating power quality and NDZ problems.
Article
Green & Sustainable Science & Technology
Kamil Okay, Sermet Eray, Aynur Eray
Summary: A prototype battery management system has been designed and implemented for a grid-connected residential PV system with lithium-ion batteries, aiming to increase system efficiency and battery life. By measuring, monitoring, and controlling battery parameters, the designed BMS also manages energy flow between the PV system, battery, grid, and load, ensuring safe operation conditions for the batteries. The prototype system provides a flexible approach with various load profiles, making it a useful tool for investigating optimal conditions for grid-connected PV-battery systems.
Article
Computer Science, Artificial Intelligence
N. Sridhar, M. Kowsalya
Summary: Micro grids are gaining more attention due to their ability to alleviate concerns of primary transmission systems, reduce feeder losses, improve system power quality, and enhance power management. The study focuses on using a droop controller for power management in micro grids, combining Ant Lion Optimization with a Bat algorithm to optimize real and reactive power and voltage control.
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING
(2021)
Article
Engineering, Electrical & Electronic
M. Durairasan, Divya Balasubramanian
Summary: This paper introduces a hybrid methodology for robust energy management in Microgrid system modeling and configuration. The system combines the performance of Recurrent Neural Network (RNN) and Modified Dragonfly algorithm (MDA), known as RNN-MDA. The proposed model predicts the optimal load demand and optimally configures the microgrid combination, resulting in better performance compared to other procedures.
INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS
(2022)
Article
Energy & Fuels
Abdelrahman O. Ali, Ahmed M. Hamed, Mohamed M. Abdelsalam, Mohamed Nabil Sabry, Mohamed R. Elmarghany
Summary: The study investigates a grid-connected hybrid power system with an optimal EMS algorithm, which effectively manages energy production, storage, and reduces grid consumption.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Prakash Arumugam, Vasudevan Kuppan
Summary: This study proposes a hybrid approach for energy management in grid connected MG system, which integrates GBDT and SOA algorithms to optimize load demand and system efficiency.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Energy & Fuels
Vinjamuri Usha Rani, Loveswara Rao Burthi
Summary: This manuscript proposes an efficient hybrid approach for home energy management based on Internet of Things (IoT), which optimally manages the power and resources of the distribution system.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
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.