Article
Energy & Fuels
Jianzhong Zhu, Xiaobo Cui, Weidong Ni
Summary: This paper proposes a unified control scheme that utilizes battery energy storage systems (BESS) to cooperate with conventional power units, aiming to smooth power output and meet strict load demands. The scheme improves the energy-saving and reliability of the boiler-turbine unit, enhances the tracking performances of the unified generation unit, and effectively handles various constraints.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Construction & Building Technology
Omar Aponte, Katie T. McConky
Summary: This paper presents a novel methodology that allows electricity consumers to proactively reduce demand charges without relying on signals or information from the utility. The methodology employs different models to determine an efficient electricity demand threshold, which can be used to trigger demand response actions and achieve significant cost savings.
ENERGY AND BUILDINGS
(2022)
Article
Energy & Fuels
Petros Iliadis, Stefanos Ntomalis, Konstantinos Atsonios, Athanasios Nesiadis, Nikos Nikolopoulos, Panagiotis Grammelis
Summary: This study proposes a predictive battery energy storage system for geographical non-interconnected islands with high renewable energy penetration, utilizing machine learning methods and custom scheduling algorithms for load levelling. Economic investigations reveal the financial viability of the system in at least one case of geographical islands.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Energy & Fuels
Mahdi Ghafoori, Moatassem Abdallah, Serena Kim
Summary: This study presents the development of a system that can predict building electricity demand and determine optimal schedules for charging and discharging electric vehicles to minimize peak demand. The system uses machine learning models to predict electrical power demand and an optimization model to identify the best charging and discharging schedules. The implementation of this system provides practical solutions for managing electricity demand in commercial buildings.
Article
Energy & Fuels
Rafal Kuzniak, Artur Pawelec, Artur Bartosik, Marek Pawelczyk
Summary: The capacity limitations of distribution networks, increasing demands for electricity installation, and the development of electromobility all create the need for load stabilization and regulation systems. Battery Energy Storage Systems (BESSs) in internal microgrids of enterprises can smooth power consumption and improve energy efficiency through peak shaving strategies. This study aims to determine the conditions for implementing a cost-effective peak shaving strategy using energy storage in enterprise microgrid systems.
Article
Thermodynamics
Yongbao Chen, Lixin Zhang, Peng Xu, Alessandra Di Gangi
Summary: This study investigates the experiences in existing DR-developed markets and proposes five feasible DR mechanisms for China and other emerging DR countries to address the issue of incomplete market mechanisms.
Article
Energy & Fuels
Md Masud Rana, Akhlaqur Rahman, Moslem Uddin, Md Rasel Sarkar, Sk. A. Shezan, Md. Fatin Ishraque, S. M. Sajjad Hossain Rafin, Mohamed Atef
Summary: This paper presents a comparative analysis of a categorical variable decision tree algorithm (CVDTA) with the general capacity addition technique for peak shaving performance evaluation in an isolated microgrid (IMG) system. The results show that the CVDTA algorithm outperforms the capacity addition technique in reducing peak demand and achieving energy savings and cost reduction.
Article
Energy & Fuels
Ayesha Abbasi, Kiran Sultan, Sufyan Afsar, Muhammad Adnan Aziz, Hassan Abdullah Khalid
Summary: This paper proposes a community-based home energy management system for microgrids using particle swarm optimization and user-defined constraints. The system aims to achieve peak demand shaving and flatter power demand by dynamically scheduling loads and managing the charging/discharging schedules of electric vehicles and battery energy storage systems. The proposed strategy improves the percentage peak shaving by about 7% on average, as observed in MATLAB simulations of several case studies.
Article
Engineering, Electrical & Electronic
Yuan Wen, Yi Luo, Xueqin Dong, Xing Xie
Summary: This paper proposes a robust optimization model for combined heat and power demand response to increase peak regulation capacity. The model considers three types of electric flexible loads and introduces the predicted mean vote index to measure the ambiguity of user's temperature perception. By employing robust optimization to address uncertainties, higher-level peak regulation requirements can be effectively met.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Article
Thermodynamics
Md Masud Rana, Mohd Fakhizan Romlie, Mohd Faris Abdullah, Moslem Uddin, Md Rasel Sarkar
Summary: A novel peak load shaving algorithm is proposed for hybrid PV-BESS connected Isolated Microgrid (IMG) system, which has been tested and evaluated with actual load data and PV generation data. The algorithm is proven effective in optimizing the operation of generation systems and economically utilizing the PV generation unit, providing peak shaving service as a simple and effective solution.
Article
Engineering, Electrical & Electronic
Anagha Bhattacharya, Debashis Chatterjee, Swapan Kumar Goswami
Summary: A modified power sharing methodology with improved fuzzy based control is proposed for hybrid islanded micro grid system in this paper. The proposed technique takes into account the fluctuation in the input power and improves voltage and frequency regulation. A model based technique is employed using a storage unit for adjustment of the active and reactive power sharing. The effectiveness of the proposed method is evaluated through simulation and experimental verifications on a practical microgrid prototype.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Liting Zhang, Yongwen Yang, Qifen Li, Weijun Gao, Fanyue Qian, Lifei Song
Summary: This paper proposes a multi-criteria evaluation method for microgrids to maximize their comprehensive value, and a case study in Japan shows the superiority of multi-objective optimization. Balancing economic benefits, peak shaving, and carbon reduction, high requirements for carbon reduction can promote renewable energy development, while peak shaving ability should be ensured by stable power generators.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Engineering, Electrical & Electronic
Areg Karapetyan, Majid Khonji, Sid Chi-Kin Chau, Khaled Elbassioni, Hatem Zeineldin, Tarek H. M. EL-Fouly, Ahmed Al-Durra
Summary: This study focuses on the modeling and algorithm design of real-time load scheduling problems in demand response programs, proposing an effective online algorithm that only considers past and current input information, and deriving a theoretical bound on the competitive ratio of the algorithm.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2021)
Article
Green & Sustainable Science & Technology
Priyadharshini Ramu, Sivasankar Gangatharan, Sankar Rangasamy, Lucian Mihet-Popa
Summary: The proposed work aims to efficiently manage solar PV power and optimize power distribution using an enhanced reinforced binary particle swarm optimization technique. By predicting solar PV generation and adjusting the consumption schedule, the method effectively tackles peak demand management and reduces energy costs. Simulation results show a 29% reduction in peak demand after implementing the technique.
Review
Energy & Fuels
Md Masud Rana, Moslem Uddin, Md Rasel Sarkar, Sheikh Tanzim Meraj, G. M. Shafiullah, S. M. Muyeen, Md. Ariful Islam, Taskin Jamal
Summary: Energy storage system (ESS) is a crucial technology for storing and converting electrical energy in power grids. It offers availability, versatility, flexibility, and modularity, making it attractive for various power system applications. This paper comprehensively reviews ESS technologies, including mechanical, chemical, electrical, electro-chemical, and thermal systems, highlighting their characteristics and applications. It also discusses the challenges and identifies key research areas to improve the practical application of ESS in power industries. The paper concludes by discussing the potential of large-scale ESS deployment for a sustainable future.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Md Masud Rana, Akhlaqur Rahman, Moslem Uddin, Md Rasel Sarkar, Sk. A. Shezan, Md. Fatin Ishraque, S. M. Sajjad Hossain Rafin, Mohamed Atef
Summary: This paper presents a comparative analysis of a categorical variable decision tree algorithm (CVDTA) with the general capacity addition technique for peak shaving performance evaluation in an isolated microgrid (IMG) system. The results show that the CVDTA algorithm outperforms the capacity addition technique in reducing peak demand and achieving energy savings and cost reduction.
Article
Green & Sustainable Science & Technology
Muhammad Adnan Hayat, Farhad Shahnia, G. M. Shafiullah, Remember Samu
Summary: This paper discusses the impact of community battery storage systems on power system operation during high penetration of rooftop photovoltaic systems (RPVs) and proposes a design criterion. The study finds that the appropriate size of community battery storage should be based on the community's generation and consumption requirements, and various scenarios demonstrate the achievable objectives of peak-shaving, duck curve mitigation, and self-sufficiency.
Article
Energy & Fuels
Md Masud Rana, Mohamed Atef, Md Rasel Sarkar, Moslem Uddin, G. M. Shafiullah
Summary: This study reviews the potential benefits of peak load shaving in a microgrid system and demonstrates its economic viability through a cost-benefit analysis.
Article
Energy & Fuels
Md Masud Rana, Akhlaqur Rahman, Moslem Uddin, Md Rasel Sarkar, Sk A. Shezan, C. M. F. S. Reza, Md Fatin Ishraque, Mohammad Belayet Hossain
Summary: This paper presents an optimal energy distribution technique for a small-scale smart household system. The proposed technique ensures economical and uninterrupted operation by distributing the generated power based on photovoltaic generation and load conditions. The effectiveness of the technique is verified, showing that it can distribute power effectively and utilize energy storage for optimal operation. Economic analysis indicates that the system's capital investment can be recovered in approximately 5.67 years, with a net profit 2.53 times higher than the total investment.
Article
Green & Sustainable Science & Technology
Shoki Kosai, Sazalina Zakaria, Hang Seng Che, Md Hasanuzzaman, Nasrudin Abd Rahim, Chiakwang Tan, Radin Diana R. Ahmad, Ahmad Rosly Abbas, Katsuyuki Nakano, Eiji Yamasue, Wei Kian Woon, Ammar Harith Ahmad Amer
Summary: As the ownership of vehicles in Malaysia continues to rise, there is a need for effective strategies to reduce emissions from the road transport sector. This study compares the greenhouse gas emissions of different types of vehicles and powertrains in Malaysia, and finds that transitioning to electric vehicles can lead to a reduction in emissions, while biodiesel-fueled vehicles have higher emissions than petrol-fueled vehicles.
Article
Engineering, Electrical & Electronic
Jorinda Yuh Ru Wong, ChiaKwang Tan, Ab Halim Abu Bakar, Hang Seng Che
Summary: This paper discusses the selectivity problem of overcurrent relay (OCR) that is often disregarded when designing an adaptive overcurrent protection scheme for inverter-based distributed generation (IBDG) dominated microgrid. Through a comparative study between conventional grid and modern IBDG dominated grid, the selectivity problem of OCR is explored, and the coordination time interval margin violations are demonstrated through theoretical calculations and real-time hardware-in-the-loop experiments.
IEEE TRANSACTIONS ON POWER DELIVERY
(2022)
Review
Energy & Fuels
Md Masud Rana, Moslem Uddin, Md Rasel Sarkar, G. M. Shafiullah, Huadong Mo, Mohamed Atef
Summary: Photovoltaic (PV) generation systems and battery energy storage systems (BESS) are attracting interest globally due to the shortage of fossil fuels and environmental concerns. This review paper provides a comprehensive overview of the state-of-the-art research on hybrid PV-BESS systems, including their strengths, weaknesses, barriers, and future improvement opportunities. The study examines six different areas where the hybrid PV-BESS system has been analyzed: lifetime improvement, cost reduction, optimal sizing, power quality issues, power system control, and peak load shifting and minimizing.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Khondoker Ziaul Islam, Md. Sanwar Hossain, B. M. Ruhul Amin, G. M. Shafiullah, Ferdous Sohel
Summary: This paper proposes a renewable energy based power supply architecture for the off-grid HetNet using a novel energy sharing model. The architecture utilizes solar photovoltaics and sufficient energy storage devices for each base station, along with a biomass generator for certain base stations. The proposed algorithms for resource-scheduling and power saving mode improve energy efficiency and extend battery lifetime for IoT devices.
Article
Energy & Fuels
Junaid Bin Fakhrul Islam, Mir Toufikur Rahman, Shameem Ahmad, Tofael Ahmed, G. M. Shafiullah, Hazlie Mokhlis, Mohamadariff Othman, Tengku Faiz Tengku Mohmed Noor Izam, Hasmaini Mohamad, Mohammad Taufiqul Arif
Summary: This paper proposes a multi-objective-based charging and discharging coordination strategy for plug-in electric vehicles (PEVs), which utilizes the operation of a capacitor and on-load tap changer (OLTC) to safely operate the distribution network and ensure charging for all connected PEVs. The main goal of this research is to reduce daily power loss, operational cost, and voltage deviation of the system. The coordination of PEV charging and discharging, along with capacitor and OLTC operation, is achieved using the metaheuristic optimization binary firefly algorithm (BFA).
Article
Energy & Fuels
Md Asaduzzaman Shoeb, Farhad Shahnia, G. M. Shafiullah, Fushuan Wen
Summary: This paper proposes a look-ahead controller that uses short-term prediction data to determine and prevent voltage or frequency violations in a microgrid. The controller adjusts the generation level, network configuration, and engagement level of supportive actions to maintain the desired voltage and frequency range, while considering technical, reliability, environmental aspects, and operational cost. Extensive numerical analyses in MATLAB validate the performance of the proposed technique.
Article
Energy & Fuels
Dong Zhang, G. M. Shafiullah, Choton Kanti Das, Kok Wai Wong
Summary: This study proposes an optimal methodology for the allocation of Battery Energy Storage Systems (BESS) to improve reliability and economics in unbalanced distribution systems. The enhanced grey wolf optimization algorithm is developed to optimize BESS location and size. The simulation results show that the proposed technique significantly improves the economics and reliability of unbalanced distribution systems.
Article
Green & Sustainable Science & Technology
Polamarasetty P. Kumar, Akhlaqur Rahman, Ramakrishna S. S. Nuvvula, Ilhami Colak, S. M. Muyeen, Sk. A. Shezan, G. M. Shafiullah, Md. Fatin Ishraque, Md. Alamgir Hossain, Faisal Alsaif, Rajvikram Madurai Elavarasan
Summary: The current study investigates the feasibility of providing electricity to off-grid villages in Odisha, India, using renewable energy resources. However, ensuring a continuous electricity supply to these areas is highly unlikely due to the intermittent nature of renewable energy sources. To address this issue, three battery technologies have been incorporated, and various demand side management (DSM) techniques have been evaluated. Metaheuristic algorithms have been applied to assess the efficiency of the off-grid system, and the results show promising potential. Energy-conservation-based DSM is identified as the ideal option for the study area, with the salp swarm algorithm demonstrating the best performance among the tested algorithms.
Article
Green & Sustainable Science & Technology
Md. Fatin Ishraque, Akhlaqur Rahman, Sk. A. Shezan, G. M. Shafiullah
Summary: This research examines the potential of a hybrid renewable energy microgrid with a dispatch strategy for a proposed location in Maldives, both in off-grid and on-grid conditions. The analysis includes technical, environmental, economic, and power system responses, and evaluates different strategies for the microgrid. The findings show the performance of various strategies and demonstrate the stable operation of the proposed system using dispatch techniques and voltage Q-droop and input mode P-Q controller.
Article
Computer Science, Information Systems
Md Moktadir Rahman, Ali Arefi, G. M. Shafiullah, Sujeewa Hettiwatte, Ali Azizivahed, S. M. Muyeen, Md Rabiul Islam
Summary: This study proposes a dynamic fair incentive mechanism using a multi-scheme load control algorithm for a large number of demand response (DR) participants coordinating with the existing network equipment for managing voltage at medium voltage (MV) networks. The proposed approach is comprehensively tested using the IEEE 33-bus and IEEE 69-bus networks.
Review
Energy & Fuels
Sina Mohammadi, Amin Mahmoudi, Solmaz Kahourzade, Amirmehdi Yazdani, Gm Shafiullah
Summary: Decaying DC offset current mitigation is crucial in phasor current estimation to avoid malfunctioning of measurement and protection systems. This paper provides an overview and comparison of various methods for mitigating DDC and highlights the impact of noise, harmonics, multiple DDCs, and off-nominal frequency on the accuracy of DDC estimation. Suggestions for future research in this field are also discussed.
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.
