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Article
Energy & Fuels
Timo Kern et al.
Summary: Smart integration of electric vehicles in future energy systems is crucial for decarbonizing the energy sector. Bidirectional EVs can provide flexibility and generate revenue for users. This study demonstrates the potential for significant revenue by optimizing photovoltaic self-consumption and engaging in arbitrage trading using bidirectional EVs in households.
Article
Energy & Fuels
Emilio Jose Sarabia Escriva et al.
Summary: This study investigates the impact of various heat supply configurations in UK supermarkets using heat recovery principles from refrigeration systems. Results show that electric heaters are not cost-competitive in supermarkets, while refrigeration integrated heating and cooling systems and air-source heat pump configurations are the most attractive options.
Article
Energy & Fuels
Sung-Won Park et al.
Summary: This study proposes an economic curtailment methodology using electric vehicles to mitigate energy waste and economic losses. Charging point operators participate in incentive-based demand response programs under curtailment situations, with a location-based incentive algorithm to avoid distribution system congestion. The methodology is verified through case studies in Jeju Island, showing more economical and effective energy use compared to conventional methods.
Article
Energy & Fuels
Hossein Ahmadisedigh et al.
Summary: This study examined the impact of part-load efficiency on the overall performance of heating and cooling networks. By simulating different combinations of thermal loads, it was found that considering the actual part-load efficiency of equipment is crucial for optimizing the hub system.
Article
Energy & Fuels
Jiawen Li et al.
Summary: A coordinated power control framework and a novel deep reinforcement learning algorithm EIC-MADDPG are proposed to achieve coordinated control and improve performance in a multi-area integrated energy system (IES). By combining imitation learning and curriculum learning, the algorithm can adaptively derive optimal coordinated control strategies for multiple LFC controllers.
Article
Energy & Fuels
Shitong Sun et al.
Summary: This paper introduces a model that integrates CSP plants with combined heat and power systems to improve heat utilization and reduce overall costs, while also applying compressed air energy storage technology. Research shows that this virtual power plant design can achieve higher profits in the market.
Review
Engineering, Electrical & Electronic
Vikas Singh et al.
Summary: This paper provides a comprehensive review of uncertainty categorization and techniques for addressing uncertainty in power systems when integrating renewable energy sources. Various methods, including Monte-Carlo simulation, cumulant, and 2n+1 point estimation, are implemented and compared using a 72-bus equivalent system. The study highlights the challenges and future research directions in this area.
ELECTRIC POWER SYSTEMS RESEARCH
(2022)
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
Thermodynamics
Weikun Liang et al.
Summary: A distributionally robust optimal dispatch model is established for campus microgrids, considering the time-delay of energy transmission and uncertainty of renewable energy. The method of characteristics is used to solve the partial differential equation, while a min-max bi-level DRO dispatch model is proposed based on an ambiguity set describing the uncertainty of RE outputs. The study also introduces an alternative iteration method for solving the bilevel model efficiently.
Article
Thermodynamics
Biying Yu et al.
Summary: Smart home participating in power demand response can significantly reduce peak load, decrease the peak-to-valley difference, and subsequently lower household electricity costs. There are significant variations in the impacts of smart home among households with different structures and individual occupations.
Article
Thermodynamics
Eva M. Urbano et al.
Summary: The industry plays a crucial role in the energy transition, but faces challenges in adopting smart energy approaches, requiring improved support initiatives. Optimal energy infrastructure design and operation methods are important in reducing risk and uncertainty, with energy pricing being a key factor to consider in energy investment decisions.
Article
Construction & Building Technology
Hamed Hosseinnia et al.
Summary: In this study, the optimal configuration of a microgrid was calculated using a reliability-constrained optimization model, considering uncertainties and optimizing economic costs and emission performance simultaneously. The optimization approach utilized a combination of Latin hypercube sampling (LHS) algorithm and K-means clustering algorithm to generate all uncertainties.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Engineering, Electrical & Electronic
Zhijian Liu et al.
Summary: By establishing an accessing guidance model and implementing a day-ahead energy management and reserve declaration strategy, the congestion of parking lots can be effectively relieved, while increasing the reserve declaration capacity and operation profit of the parking lots.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Green & Sustainable Science & Technology
Tian Xia et al.
Summary: This paper proposes a bi-level framework to evaluate the role of compressed air energy storage (CAES) in urban integrated energy systems and conducts an empirical study. The results show that Diabatic-CAES can play an important role in reducing system overall cost and wind curtailment, while A-CAES becomes more important with increasing wind capacity.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Energy & Fuels
Hamed Asgarian Honarmand et al.
Summary: This paper presents a sustainable framework for the long-term planning of energy hub systems in the presence of renewable energy sources, including the needs of electrical, cooling, and heating loads, as well as the use of storage systems. The study shows that the use of Price-Based Demand Response program can reduce investment costs, while the absence of PV panels increases operating costs.
JOURNAL OF ENERGY STORAGE
(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
Energy & Fuels
Shiliang Guo et al.
Summary: This paper proposes a novel industrial microgrid structure aimed at minimizing operational costs and maximizing income for EV users. The system adopts a time of use pricing strategy and robust optimization algorithm to effectively manage EV charging and discharging behaviors, as well as uncertainties in RES and industrial loads.
Article
Energy & Fuels
Mehrdad Aslani et al.
Summary: This paper proposes a robust optimization method and uses Monte Carlo simulation to study the optimal operation of an energy hub under different charging modes of electric vehicles. The study also explores different schemes of hybrid energy storage systems. The simulation results show that integrating thermal and electrical demand response programs and using electric heat pumps can significantly reduce the operation cost of the energy hub.
Article
Energy & Fuels
Mohammad Seyfi et al.
Summary: This paper presents a deep learning-based scheduling method for the virtual energy hub (VEH), which combines the concepts of virtual power plant and energy hub. The VEH uses bidirectional long short-term memory (BLSTM) network to accurately forecast uncertain parameters and participates in electrical and thermal markets. Additionally, the VEH employs plug-in hybrid CNG-electric vehicles (PHGEVs) for electrical storage and a CNG station for secondary fuel supply. The inclusion of phase change material based thermal energy storage (PCMTES) improves system flexibility and cost reduction.
Article
Green & Sustainable Science & Technology
Seyed Amir Mansouri et al.
Summary: This paper proposes a hierarchical model to enhance the resilience of decentralized microgrids by managing network outages and reducing energy not served. Different measures are taken at different stages to respond to different operating conditions. The simulation results show that these measures can significantly decrease the energy not served, and improve the supply service level and resilience index.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Energy & Fuels
Mehrdad Aslani et al.
Summary: While the energy hub concept has various benefits, uncertainties within the system can impact decision making. Studies have focused on optimizing the operation of energy hubs while considering uncertainties, but there is a gap in research regarding robust optimal operation under different EV charging modes and integrated demand response programs. This research aims to address this gap by using robust optimization methods to account for uncertainties in renewable energy resources and electricity prices, as well as studying hybrid storage systems in the robust framework. Simulation results demonstrate cost savings by implementing integrated thermal and electrical demand response programs and utilizing electric heat pumps and hybrid storage systems. Sensitivity analyses show the advantages of the proposed method when uncertainties within the energy hub increase.
Article
Energy & Fuels
Arsalan Najafi et al.
Summary: This paper proposes a hybrid decentralized robust optimization-stochastic programming (DRO-SP) model to coordinate the management of EVAGG and EH. By combining stochastic programming and robust optimization, uncertainties in entity scheduling are addressed, achieving economic scheduling while ensuring information privacy between entities.
Article
Energy & Fuels
Mehdi Nikzad et al.
Summary: This work introduces a stochastic model for optimal day-ahead integrated heat-energy and reserve scheduling of a Microgrid, considering energy storage system and demand response programs, with the objective of maximizing total social welfare.
Article
Thermodynamics
Haijie Qi et al.
Summary: An operational cost minimisation model is established for a smart energy hub, which combines the optimal operation of CHP with load management of HVAC and energy storage systems to shift load demand and manage energy supply, considering environmental factors and climate variations for cost savings.
Article
Thermodynamics
Naser Hashemipour et al.
Summary: This paper introduces a new vision of creating virtual local electricity markets through mixing different load and renewable profiles, forming dynamic virtual LEMs daily. The flexibility of Electric Vehicles (EV) plays a significant role in the creation of virtual LEMs, leading to increased revenue in the marketplace.
Article
Green & Sustainable Science & Technology
J. N. Yin et al.
Summary: A risk explicit interval multistage stochastic programming model considering inter-regional carbon subsidy is developed to support optimal energy system planning in Inner Mongolia, China, improving existing optimization methods by introducing cost risk tradeoff information. The obtained crisp solutions are more feasible and effective for practical policymaking. The study indicates that implementing a carbon subsidy strategy can promote economic growth, shift towards renewable energy, and mitigate air pollution.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Engineering, Electrical & Electronic
Amirhossein Benyaghoob-Sani et al.
Summary: The study focuses on a model for Energy Hub (EH) in Microgrid (MG) to optimize the operation. The goal is to minimize operational and environmental costs with various dispatchable and non-dispatchable generations of energy, along with different energy storage systems considered.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Green & Sustainable Science & Technology
Qun Guo et al.
Summary: The unsustainable and uncontrolled development of urbanization has led to increased environmental challenges worldwide. Constructing industrial energy parks may be an appropriate solution to reduce carbon dioxide emissions and optimize energy sources, but accurate techno-economic-environmental assessment and coordinated operations are challenging tasks.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Gerardo J. Osorio et al.
Summary: This study proposes a novel aggregator agent in the energy system, which is an EV charging station with an installed PV system. By optimizing the operational strategy for solar-powered EV parking lots to participate in various energy and ancillary services markets, higher profits can be achieved. The results show that this novel agent can actively participate in the energy system in an economically viable manner, providing important ancillary services.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Energy & Fuels
Pouria Emrani-Rahaghi et al.
Summary: The article introduces a probabilistic scenario-based model for optimizing the operation cost of REH, which considers uncertainties of renewable energy sources and electricity prices. The proposed model is validated by test results and compared with Monte Carlo simulation-based models, showing less than 2% inaccuracy. Seasonal heat and power demand changes are studied, and it is found that PHEV and heat storage system can decrease the operation costs of REH.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Energy & Fuels
Mehdi Jalili et al.
Summary: This paper investigates the optimization model for energy hub in a microgrid, aiming to minimize operational and environmental costs, manage dispatchable and nondispatchable generations, as well as energy storage systems under various technical constraints. The study shows that using a novel solar-powered compressed air energy storage system can improve the efficiency of energy hub operation and reduce environmental costs.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Thermodynamics
Charafeddine Mokhtara et al.
Summary: This study explores the optimal design of a diesel/PV/wind/battery hybrid renewable energy system (HRES) for the electrification of residential buildings in rural areas, taking into account climate diversity and building energy efficiency. GIS tools were used to develop a renewable energy potential map for Algeria, and the particle swarm optimization algorithm was employed to minimize energy cost while maximizing system reliability and renewable fraction. Different optimal HRES configurations were identified based on building efficiency levels, with some locations achieving a COE as low as $0.21/kWh.
Article
Energy & Fuels
Saeed Zeynali et al.
Summary: This study investigates the cooperation between a compressed air energy storage (CAES) and a battery energy storage system (BESS) in energy hubs to optimize residential thermal and electrical systems for cost and emission reduction. The proposed formulation includes various renewable energy units and demand response programs, with uncertainties handled by a computationally effective robust method.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Construction & Building Technology
Qun Guo et al.
Summary: This paper focuses on the optimal risk assessment of microgrid systems by incorporating an electric vehicle parking lot, demand response program, and high penetration of renewable energy. The study aims to enhance financial and environmental goals through strategies such as risk-taker or risk-aversion in daily scheduling.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Construction & Building Technology
Seyyed Mostafa Nosratabadi et al.
Summary: This paper introduces an energy management system that controls distributed energy resources within an entity, presenting a novel convexity principle to address nonlinearity and proposing a robust scenario-based optimization strategy. By conducting a real case study, the effectiveness of the strategy is demonstrated.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Energy & Fuels
Wei Gan et al.
Summary: This paper proposes a market mechanism based on EH's peer-to-peer transaction, applies cooperative game theory to develop a fair and convincing payoff allocation scheme, and proves that the cooperative game of multiple EH operations is a balanced game.
Article
Thermodynamics
Ahmad Ghasemi et al.
Summary: A new retail electricity pricing method is proposed in this study using a CVaR optimization framework to determine the next day's energy management planning of Micro-grid and retail electricity prices. The optimization under risk-averse conditions resulted in a significant reduction in the standard deviation of optimal retail prices and the expected cost, as well as a decrease in peak demand value.
Article
Thermodynamics
Hesam Mohammadi et al.
Summary: This study introduces a logical based approach with constraint programming technique to apply rule-based hybrid strategies in optimal planning of micro cogeneration systems. Five operation strategies are evaluated under three optimization criteria, resulting in the common hybrid strategy and the proposed strategy as the most suitable for integrated criterion with significant reductions in total annual cost, primary energy consumption, and greenhouse gas generation. The proposed strategy achieves higher reductions in total annual cost and overall performance for energy matching compared to the common hybrid strategy. Sensitivity analysis reveals the feed-in tariff for power generation as the most dominant economic parameter, while stochastic analysis shows the capacity of the micro cogeneration unit as the most affected outcome.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Review
Thermodynamics
Olga Tsvetkova et al.
Summary: The review provides an overview of sensitivity analysis in wind resource assessment, highlighting the lack of consensus in defining sensitivity analysis, the prevalence of nonlinear models, and the common pitfalls in the field. It calls for a rethinking on how to conduct sensitivity analysis and includes a comparison of one-at-a-time and global sensitivity analysis methods for linear and nonlinear models.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Review
Green & Sustainable Science & Technology
Ram Kumar Pal et al.
Summary: The direct steam generation (DSG) technology in parabolic trough collector (PTC) solar power plants is an advancement that offers higher thermal efficiency, lower overall cost, and good potential for scale-up. Although developed over the past two decades, challenges in commercialization include high-temperature component design and thermal instability due to two-phase flow. Improvements in cost-effective thermal energy storage (TES) systems are expected to enhance grid integration and dispatchability of DSG solar power plants in the future.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
B. Poursmaeil et al.
Summary: This paper proposes an optimal scheduling method for interconnected multi-energy hubs based on robust optimization, considering uncertainties in electricity price, renewable energy resource generation, and loads. The results demonstrate that the proposed model can effectively reduce the total operation cost and carbon emissions of energy hubs.
JOURNAL OF CLEANER PRODUCTION
(2021)
Review
Green & Sustainable Science & Technology
B. Wealer et al.
Summary: This paper reviews trends in third generation nuclear power plants and analyzes global nuclear power plant investments, indicating that cost escalations continue and investing in nuclear power plants is not profitable.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Energy & Fuels
Ahmed N. Abdalla et al.
Summary: This study reviews the roles, classifications, design optimisation methods, and applications of energy storage systems in power systems, introducing different types of energy storage technologies and applications, as well as the states, operation processes, and energy storage capacity of an energy storage system.
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(2021)
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IEEE TRANSACTIONS ON SMART GRID
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