Article
Energy & Fuels
Mehmet Ali Yildirim, Filip Bartyzel, Andrea Vallati, Magdalena Kozien Wozniak, Pawel Oclon
Summary: The RESHeat system is a renewable energy system for residential building heating and electricity production, consisting of a heat pump, photovoltaic modules, sun-tracking solar collectors, and an underground thermal energy storage unit. One of the main innovations of the RESHeat system is efficient ground regeneration through the underground energy storage unit. The experimentally validated components and building model show that the RESHeat system can fully cover the heating demand of the building using renewable energy sources and an efficient underground energy storage system.
Article
Automation & Control Systems
Rampelli Manojkumar, Chandan Kumar, Sanjib Ganguly
Summary: This article proposes an optimal demand response control method for a residential PV storage system using energy pricing limits. The method considers both energy buying and selling prices and utilizes rule-based control and genetic algorithm to minimize the system's energy cost.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Green & Sustainable Science & Technology
U. G. K. Mulleriyawage, W. X. Shen
Summary: This study investigates avenues of improving the economic sense of battery energy storage systems by considering demand side management, resulting in significant capacity reduction and increased return on investment.
Article
Chemistry, Physical
Gamze Soyturk, Onder Kizilkan, Mehmet Akif Ezan, C. Ozgur Colpan
Summary: This paper presents the design and modeling of a solar and hydrogen energy-based integrated energy system. The system consists of photovoltaic cells, battery banks, an electrolyzer, a hydrogen compressor, and a high-pressure hydrogen tank. Mathematical modeling and an energy management strategy were used to investigate the dynamic behavior of the system. The results of the parametric study show that the hydrogen production is higher in summer and lower in winter. An economic analysis of the hybrid system was also conducted.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Energy & Fuels
Saman Korjani, Fabio Casu, Alfonso Damiano, Virginia Pilloni, Alessandro Serpi
Summary: This paper presents an online energy management tool that suggests the most suitable size of a hybrid photovoltaic-battery energy storage system (PV-BESS) to residential prosumers based on their self-sufficiency expectations. By analyzing the electricity generation and consumption of residential prosumers, a genetic algorithm is used to determine their self-sufficiency map. Clustering analysis reveals that usage habits of certain appliances and peak electricity consumption are the most important features influencing clustering. The proposed online tool assigns prosumers to the most suitable cluster based on simple questions about their energy consumption habits, providing immediate self-sufficiency maps.
Article
Green & Sustainable Science & Technology
Abdulrahman M. Abomazid, Nader A. El-Taweel, Hany E. Z. Farag
Summary: This article introduces an energy management system (EMS) model for a renewable hydrogen production system, aiming to achieve economic and operational benefits. The model controls the operation of the electrolyzer by minimizing hydrogen production costs and allows for seasonal hydrogen storage. Four case studies demonstrate the techno-economic benefits of the proposed model.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2022)
Article
Thermodynamics
Philipp Mascherbauer, Lukas Kranzl, Songmin Yu, Thomas Haupt
Summary: This study investigates the impact of smart energy management system (SEMS) on residential electricity consumption at both individual household and national level. The findings show that SEMS can significantly reduce grid-electricity consumption and enhance photovoltaic (PV) self-consumption at the individual household level. At the national level, SEMS also contributes to a substantial reduction in grid-electricity consumption in the residential building stock.
Article
Energy & Fuels
Yiju Ma, Archie C. Chapman, Gregor Verbic
Summary: This research proposes a novel financial framework using real options valuation to solve the optimal investment problem for subsidizing residential battery installations. By incorporating Monte Carlo analysis and battery scheduling profiles, this framework can consider uncertainties in PV generation and load behavior, and find the optimal investment plan.
Article
Green & Sustainable Science & Technology
Azin Rahimzadeh, Theodor Victor Christiaanse, Ralph Evins
Summary: This paper examines the changes in energy systems for residential buildings in British Columbia, considering scenarios of on-grid, off-grid, and 100% renewable. It finds that in on-grid systems, there is a trade-off between grid connection and energy storage, while off-grid systems using storage technologies still have carbon emissions. In 100% renewable off-grid systems, both Li-ion and pumped hydro storage systems are used to address intermittency.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Energy & Fuels
Marcos Tostado-Veliz, Hany M. Hasanien, Rania A. Turky, Yasser O. Assolami, David Vera, Francisco Jurado
Summary: Energy storage is crucial for decarbonizing the electricity sector, especially in residential installations. Home energy management applications play a vital role in enabling active control of appliances and storage systems to achieve efficient energy utilization. However, the emergence of renewable generators and electric vehicles poses challenges due to uncertainties in residential asset operation. This paper introduces a novel home energy management tool that addresses these uncertainties by using a Lexicographic-Interval formulation and prioritizing the impact of random parameters. A benchmark case study validates the proposed tool and demonstrates its ability to handle different tariffs.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Arun Kumar Karngala, Chanan Singh
Summary: A reliable power supply is crucial for modern society and residential systems, as it enables technologies to function effectively and sustain life. This study focuses on the reliability performance of residential systems with behind-the-meter Distributed Energy Resources (DERs), proposing a multistate reliability model and using a sequential Monte Carlo method to evaluate reliability indices. The analysis considers system parameters, geospatial variables, and their impact on system reliability.
Article
Green & Sustainable Science & Technology
Juan Antonio Ballesteros-Gallardo, Angel Arcos-Vargas, Fernando Nunez
Summary: This study evaluates the profitability of a household PV facility with BESS using real market prices and hourly data, providing the best configuration and examining the impact of BESS and PV panel costs on facility profitability.
Article
Multidisciplinary Sciences
Md Morshed Alam, Md Habibur Rahman, Md Faisal Ahmed, Mostafa Zaman Chowdhury, Yeong Min Jang
Summary: This article proposes a new model for the energy management system of a home microgrid integrated with a battery energy storage system. The model utilizes deep learning and optimization algorithms to achieve optimal energy distribution and scheduling of the storage system, aiming to reduce the household's daily electricity cost.
SCIENTIFIC REPORTS
(2022)
Article
Energy & Fuels
Kasiprasad Mannepalli, K. Vinoth, Saumendra Kumar Mohapatra, R. Rahul, Durga Prasad Gangodkar, Abhishek Madduri, M. Ravichandran, Ravishankar Sathyamurthy, V. Mohanavel
Summary: To reduce carbon emissions, a greater reliance on renewable energy sources such as solar power is necessary. Battery energy storage systems (BESSs) have emerged as a solution for integrating solar power systems and storing excess electricity. However, the current deployment of BESSs has limitations that need to be addressed, such as network topology and capacity pooling considerations.
Article
Energy & Fuels
Miao Wang, Zhuopeng Shi, Wei Luo, Yi Sui, Dongxun Wu
Summary: This paper proposes an operation dispatching model of the integrated energy system based on hydrogen fuel cell (HFC), considering system safety as the constraint and minimum economic cost as the objective function. Its economic dispatching model is established using the distributionally robust optimization (DRO) model to handle the uncertainty of renewable energy output. The results show that the use of hybrid energy storage equipment can reduce economic cost and improve the stability of the energy storage equipment.
Article
Computer Science, Artificial Intelligence
M. J. Sanjari, H. Karami, A. H. Yatim, G. B. Gharehpetian
APPLIED SOFT COMPUTING
(2015)
Article
Thermodynamics
M. J. Sanjari, H. Karami, H. B. Gooi
ENERGY CONVERSION AND MANAGEMENT
(2016)
Article
Engineering, Electrical & Electronic
Mohammadreza Vatani, Davood Solati Alkaran, Mohammad Javad Sanjari, Gevork B. Gharehpetian
IET GENERATION TRANSMISSION & DISTRIBUTION
(2016)
Article
Engineering, Electrical & Electronic
S. A. Ahmadi, H. Karami, M. J. Sanjari, H. Tarimoradi, G. B. Gharehpetian
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2016)
Article
Thermodynamics
H. Karami, M. J. Sanjari, H. B. Gooi, G. B. Gharehpetian, J. M. Guerrero
ENERGY CONVERSION AND MANAGEMENT
(2017)
Article
Automation & Control Systems
Mohammad Javad Sanjari, Hossein Karami, Hoay Beng Gooi
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2017)
Article
Engineering, Electrical & Electronic
Mohammad Javad Sanjari, H. B. Gooi
IEEE TRANSACTIONS ON POWER SYSTEMS
(2017)
Article
Energy & Fuels
Ling Ai Wong, Vigna K. Ramachandaramurthy, Sara L. Walker, Phil Taylor, Mohammad Javad Sanjari
JOURNAL OF ENERGY STORAGE
(2019)
Article
Thermodynamics
M. Malekizadeh, H. Karami, M. Karimi, A. Moshari, M. J. Sanjari
Article
Green & Sustainable Science & Technology
Mohammad Javad Sanjari, Hoay Beng Gooi, Nirmal-Kumar C. Nair
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2020)
Review
Engineering, Electrical & Electronic
Mostafa Gholami, Mohammad J. Sanjari, Mostafa Safari, Mahdi Akbari, Mohammadreza R. Kamali
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS
(2020)
Article
Engineering, Electrical & Electronic
Altaf Q. H. Badar, M. J. Sanjari
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS
(2020)
Article
Engineering, Multidisciplinary
Mohammad MansourLakouraj, Mohammad Javad Sanjari, Mohammad Sadegh Javadi, Majid Shahabi, Joao P. S. Catalao
Summary: This article discusses the challenges brought by increasing renewables on the distribution grid and proposes a flexibility-oriented stochastic scheduling of a microgrid to address these challenges. By controlling the uncertainties of load and renewables and adding islanding constraints, the net load variability can be managed effectively.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2021)
Review
Energy & Fuels
Muhammad Umair Safder, Mohammad J. Sanjari, Ameer Hamza, Rasoul Garmabdari, Md. Alamgir Hossain, Junwei Lu
Summary: This paper discusses and analyzes the latest techniques and schemes for addressing the stability and energy management issues associated with the adoption of renewable energy generation and electric vehicles in microgrids. It also proposes potential areas of future research.
Article
Green & Sustainable Science & Technology
Seyed Majid Hashemzadeh, Mohammed A. Al-Hitmi, Hadi Aghaei, Vafa Marzang, Atif Iqbal, Ebrahim Babaei, Seyed Hossein Hosseini, Shirazul Islam
Summary: This article proposes an interleaved high step-up DC-DC converter topology with an ultra-high voltage conversion ratio for renewable energy applications. The converter utilizes an interleaved structure to reduce the input source current ripple, which is advantageous for solar PV sources. By employing voltage multiplier cells and coupled inductor techniques, the topology enhances the output voltage. The article provides comprehensive operation modes and steady-state analyses, compares the proposed structure with other similar converter topologies, and validates the mathematical analysis with experimental results.
IET RENEWABLE POWER GENERATION
(2024)
Article
Green & Sustainable Science & Technology
Gang Xu, Zixuan Guo
Summary: This paper proposes a two-stage resilience enhancement strategy for the recovery of critical loads after disasters. The first stage utilizes a heuristic algorithm to determine the post-disaster topology, while the second stage incorporates user demand response to maximize the socio-economic value of the recovery.
IET RENEWABLE POWER GENERATION
(2024)
Article
Green & Sustainable Science & Technology
Faruk Oral
Summary: This study investigates the wind characteristics and electricity generation potential from wind energy in the Bitlis-Rahva region in eastern Turkey. Wind data from the Bitlis meteorological station is analyzed using the WindPRO program to determine the wind speed distribution and predict turbine performance. The results show that the region has low wind energy capacity factor, indicating it is not efficient for wind energy investments. However, it is suggested that higher altitudes in the region may have better wind energy utilization.
IET RENEWABLE POWER GENERATION
(2024)
Article
Green & Sustainable Science & Technology
Yingjie Tang, Zheren Zhang, Zheng Xu
Summary: This paper investigates the modular multilevel matrix converter with symmetrically integrated energy storage for low frequency AC system. An evaluation method for the minimum required number of active submodules is presented, and the influences of operating conditions on the minimum required number of active submodules are studied. Issues about the converter control system are also discussed in this paper.
IET RENEWABLE POWER GENERATION
(2024)
