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Article
Energy & Fuels
Arsalan Najafi et al.
Summary: This paper proposes a hybrid stochastic-robust framework for the optimal operation of hydrogen-based energy hubs. The framework involves participating in the regulation market, utilizing power-to-gas units and gas storage systems, and addressing uncertainties through stochastic programming and robust optimization. Simulation results demonstrate its effectiveness in managing hydrogen-rich energy hubs and energy storage systems.
Article
Thermodynamics
Tairan Zhang et al.
Summary: Energy distribution network operation faces challenges due to the presence of energy hubs, natural gas grids, and dispersed generation resources. This paper proposes a new model for optimizing energy hub operation and addresses the uncertainties of PHEVs and RES. A unique solution based on routing is presented to minimize mathematical errors in tackling the problem.
Article
Construction & Building Technology
Yanhui Cheng et al.
Summary: To improve energy efficiency, reliability, and productivity, energy hubs are widely used as poly-transfer approaches. System uncertainties, especially in terms of energy supply-side ambiguity, can have negative effects on energy hubs. This paper proposes an Energy Hub model that addresses the indeterminacy of revival resources and electricity rates through an optimization problem solved by an improved particle swarm algorithm. The results show that PHEV and thermal storage systems are effective solutions for reducing utilization expenses of energy hubs. Therefore, implementing a demand-side management schedule can help shift loads from peak hours and avoid higher operational costs.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Energy & Fuels
Kasra Saberi-Beglar et al.
Summary: This paper investigates the integration of combined cooling, heat and power (CCHP) system and electric vehicle parking lot (EVPL) with photovoltaic (PV) technology as renewable energy (RE). Stochastic programming and demand response are used to optimize the system's operation and reduce carbon emissions. A risk-aversion strategy is implemented to mitigate the risks associated with uncertainties. The results show that demand response can reduce operation costs by 5% in summer and 8% in winter.
Article
Green & Sustainable Science & Technology
Hedayat Saboori
Summary: Supplying desalination plants with renewable resources is a promising solution to address water scarcity. With the growing energy crisis, these alternative energy sources have gained more attention. To ensure cost-effectiveness, an optimal investment plan needs to be determined due to their relatively higher costs.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2023)
Article
Thermodynamics
Linyuan Fan et al.
Summary: This paper presents a riskaverse multi-objective method to tackle the self-scheduling problem of the virtual energy hub plant and address the issues of energy efficiency, greenhouse gas emissions, and economic concerns. The proposed model is applied to a sample test case and the results show that the profit of the virtual energy hub plant is increased by up to 17.54%, and the CO2 emission rate is reduced by up to 10.24% considering the up-to-date energy storage systems, developed demand response strategy, and P2X units.
Review
Thermodynamics
Mohammad Kiani-Moghaddam et al.
Summary: The concept of the energy hub (EH) is promising for evaluating multi-carrier integrated energy systems (IESs) at various scales. Existing literature on multi-carrier EH-based IESs has matured adequately for broad scales, but there is confusion and lack of clarity for limited-scale EH-based IESs. Additionally, complex studies involving uncertainties in decision-making variables, objective functions, and parameters require careful consideration for realistic conditions and effective optimization. This review paper aims to address these gaps by identifying and analyzing uncertain input parameters, proposing solution approaches, and discussing future research trends in multi-carrier EH-based IESs studies.
Article
Energy & Fuels
Tom Terlouw et al.
Summary: Designing decentralized energy systems in an optimal way can lead to cost reduction and environmental burden reduction. However, existing models for optimal design of multi-energy systems do not comprehensively consider environmental assessment or relevant technology options. This paper presents a multi-objective optimization framework that considers life cycle environmental burdens and a wide range of technology options for different sectors. Results demonstrate the competitiveness and potential benefits of properly designed MESs.
Article
Energy & Fuels
Giorgio Piazza et al.
Summary: One of the main strategies to achieve the European Commission's targets in the energy field by 2030 is to implement sustainable energy systems in urban areas. This paper proposes a novel methodology to design a multi-vector energy hub that can supply electricity and thermal energy to buildings within a sustainable district. The developed mathematical model considers detailed technology models and evaluates the impact of the optimal solution on global costs and emissions.
Article
Construction & Building Technology
Mahsa Babagheibi et al.
Summary: According to the development of CHP and HP, energy scheduling of thermal and electrical systems became more dependent on each other. New designs of Integrated Heat and Power Markets (IHPM) are proposed to use the complementary capabilities of multi-energy systems such as Energy Hubs. The proposed market structure based on the ADMM improves social welfare value and reduces operating costs.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Computer Science, Information Systems
Soheil Yousefnejad et al.
Summary: This paper investigates the impact of a defective solenoid on the performance of a DC series motor starter. It describes the effects of the starting system on the solenoid parts and establishes a circuit model to obtain the motor performance. Experimental measurements and theoretical discussion support the simulation results.
Article
Energy & Fuels
Chengzhou Li et al.
Summary: The design of user-level integrated energy systems is a complex task that involves various challenges such as energy converter combinations, multiple energy flow utilization, and source-load matching. In this paper, an optimal energy hub based planning framework is proposed to address these challenges by considering synergistic effects and uncertainties.
Article
Thermodynamics
Anoosh Dini et al.
Summary: This study presents a novel optimization model for the flexible-reliable operation of energy hubs in electricity, natural gas, and district heating networks, utilizing energy storage systems and incentive-based demand response program. The optimization scheme minimizes the total expected costs of operation, reliability, and flexibility of the energy networks, while considering uncertainties of load, energy cost, power generation of RES, and network equipment availability through scenario-based stochastic programming. A hybrid teaching-learning-based optimization and crow search algorithm is used to obtain a reliable optimal solution with low standard deviation.
Article
Computer Science, Information Systems
Elham Mokaramian et al.
Summary: In this study, an energy hub system is proposed to address the economic and emission problem in power systems. Uncertainties in wind turbine, photovoltaic, load, and electricity market price are modeled with a Mont-Carlo method. A new method is introduced to model the uncertainties of electric vehicles, simplifying the uncertainty modeling process to increase system reliability. Two objective functions, economic cost, and environmental cost, are considered, and a three-step strategy is introduced to solve the multi-objective problem.
Article
Construction & Building Technology
Mohammad Nasir et al.
Summary: Energy Hubs (EHs) are crucial for sustainable cities as they provide multi-carrier energy systems to meet different energy needs. In this study, the scheduling of EHs connected to demand response aggregators is performed using the Information gap decision theory (IGDT) to handle uncertainties. The results show that transactions with demand response aggregators can decrease EH operation costs, while electric, thermal, and hydrogen storage systems also contribute to reducing costs.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Green & Sustainable Science & Technology
Babak Kashanizadeh et al.
Summary: This paper proposes a bi-stage multi-objectives optimization of the smart multi energy system with optimal coordination of active consumers than electrical and thermal prices in the day-ahead market.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2022)
Article
Energy & Fuels
Shubham Tiwari et al.
Summary: This paper presents a cooperative energy management approach for multi-carrier networked energy hubs. The proposed scheme allows energy hubs to exchange power for higher economic and environmental benefits. Based on cooperative game theory, individual energy hubs collaborate to secure maximum profit, which is then distributed fairly among the hubs to ensure economic stability. The proposed model considers a networked system integrating various energy resources to meet electrical and thermal demands, and employs algorithms to address uncertain source behavior. Results show reduced operating costs and greenhouse gas emissions, as well as improved self-reliability of the networked system through cooperation and flexible resources.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Green & Sustainable Science & Technology
Mostafa Kermani et al.
Summary: This paper presents a holistic solution for optimal control of energy flow between interconnected microgrids (MGs) consisting of different renewable energy sources, hydroelectric power plants, and wind turbines to meet various demands. The proposed solution reduces costs, peak loads, and enhances system reliability by introducing a new interconnection line and a multiport converter. The results show improved performance under different conditions, including load increment, demand response, and N-1 criterion.
Article
Energy & Fuels
Ijaz Ahmed et al.
Summary: This article proposes a soft computing framework called whale optimization algorithm (WOA) for solving the economic/environmental dispatch problem in power system control. The algorithm achieves fast convergence rate, optimal generation cost, and reduction in environmental pollutants while handling complex system constraints.
Article
Energy & Fuels
Wei Jiang et al.
Summary: In this study, a stochastic optimization strategy was proposed for participating in energy market operations considering demand response. A scheduling model was presented for the operation of energy carriers and reserves using the developed water wave optimization algorithm. The results showed a decline in operating costs through responsive load participation and thermal energy storage system. The study also revealed a correlation between the electricity price and natural gas consumption, indicating the need for simultaneous optimization of multi-carrier energy grids.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Engineering, Electrical & Electronic
Mohadese Movahednia et al.
Summary: This paper proposes a cooperative game model for scheduling the day-ahead operation of multi-microgrid systems. By integrating transactions between microgrids, the model aims to achieve a global optimum for system cost. Price-based demand response is implemented to provide cost-reducing opportunities for consumers. The model incorporates data uncertainties to enhance result reliability. The study shows that implementing the cooperative model can reduce overall system cost and improve performance of individual microgrids.
ELECTRIC POWER SYSTEMS RESEARCH
(2022)
Article
Energy & Fuels
Hedayat Saboori et al.
Summary: This paper introduces a novel and efficient model for MBESS modeling and operation optimization in distribution networks, considering transportation time and cost limitations using linear equations. The proposed model is implemented on a sample system, demonstrating effectiveness in obtaining a minimum cost operation plan with enhanced technical performance.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Engineering, Electrical & Electronic
Ramin Bahmani et al.
Summary: This paper proposes a cooperative framework for energy hub systems, which allows hubs to collaborate and share resources to reduce costs. By using a fair revenue mechanism, the model shows a significant improvement in efficiency for each hub, demonstrating the effectiveness of the proposed method.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Energy & Fuels
Masoud Agabalaye-Rahvar et al.
Summary: In recent years, the importance of establishing an effective energy hub system has emerged, and a smart multicarrier energy hub coordinated with integrated demand response program and hydrogen storage system has been proposed to meet various energy demands. Technologies like fuel cells are utilized to reduce air pollutant emissions, while solutions to global warming issues are also considered to lower overall costs and emissions.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Computer Science, Information Systems
Soheil Yousefnejad et al.
Summary: The study introduces a novel structured high torque density magnetic-geared permanent magnet machine that can enhance torque considerably by combining the advantages of conventional MGPM machines and magnetic gears. Through a comparison with other structures using the finite element method, it is demonstrated that the proposed structure outperforms others in terms of torque density increase.
Article
Energy & Fuels
Jamal Faraji et al.
ENERGY SCIENCE & ENGINEERING
(2020)
Article
Energy & Fuels
Amirreza Naderipour et al.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2020)
Article
Thermodynamics
Sayyad Nojavan et al.
ENERGY CONVERSION AND MANAGEMENT
(2017)
Article
Engineering, Chemical
Upeksha Caldera et al.
