612 research outputs found
Energy Justice and Equity for the Sustainable Development of Modern Energy Grids
No full textRecently, the world has witnessed significant developments in different domains relying on energy as the essential commodity for completing the relevant cycles. Renewable energy sources are intended to be the main source of energy for supplying clean energy in future modern energy grids leading to uncertain and uncontrollable energy generation processes. Herein, the sustainable development of modern energy networks has become a critical switch in the energy landscape due to emerging new intelligent and uncertain energy systems. Under this circumstance, energification needs to be carried out for all consumers in various geographical and other conditions to provide affordable and reliable energy for end users. Indeed, energification can facilitate the way for fairly supplying multi-carrier energy to all consumers without considering their different conditions resulting in realizing the justice and equity in energy delivery based on the grid modernization protocols. Therefore, energy justice and equity have attracted remarkable attention in the sustainable development of modern energy networks. This chapter is to clarify what is the real place of energy justice and equity in the suitable development of future modern multi-carrier energy networks.<br/
Distributed Control and Management of Renewable Electric Energy Resources for Future Grid Requirements
Full text linkIt is anticipated that both medium- and low-voltage distribution networks will include high level of distributed renewable energy resources, in the future. The high penetration of these resources inevitably can introduce various power quality issues, including; overvoltage and overloading. This book chapter provides the current research state of the art concepts and techniques in dealing with these potential issues. The methods provided in this chapter are based on distributed control approach, tailored and suitable particularly for the future distribution composition. The distributed control strategy is a promising approach to manage and utilise the resources in future distribution networks to effectively deal with grid electric quality issues and requirements. Jointly, utility and customers the owners of the resources in the network are considered as part of a practical coordination strategy in this method. Standard IEEE test system is used for application, and to demonstrate the effectiveness of the method by providing the results
Balancing and Frequency Control of Power systems in Presence of Wind Farms and Utility-Scale Power-to- Hydrogen Plants
No full textMicrogrids
No full textMicrogrids are a growing segment of the energy industry, representing a paradigm shift from centralized structures toward more localized, autonomous, dynamic, and bi-directional energy networks, especially in cities and communities. The ability to isolate from the larger grid makes microgrids resilient, while their capability of forming scalable energy clusters permits the delivery of services that make the grid more sustainable and competitive. Through an optimal design and management process, microgrids could also provide efficient, low-cost, clean energy and help to improve the operation and stability of regional energy systems. This book covers these promising and dynamic areas of research and development and gathers contributions on different aspects of microgrids in an aim to impart higher degrees of sustainability and resilience to energy systems
Hybrid Generation Solution for Mining Site
No full textOne of the difficulties of mining worldwide is that it must be carried out in remote places without grid connection. Therefore it is important to choose the most profitable and reliable combination of energy sources for electrification.In this paper, different technologies to meet the demand of a mine located in Western Australia are studied. Using HOMER Pro, several viable systems, for the resources considered, are obtained.Using analytic hierarchy process (AHP), the most suitable case is selected for further study.Using Monte-Carlo simulations several scenarios are developed for the study of uncertainties, and a risk-constrained optimization algorithm is implemented to obtain the optimal scheduling, the expected cost and conditional value at risk (CVaR). Numerical results demonstrate that the variations of operation cost and CVaR with the increase in risk aversion factor are not of high magnitude, due to rather low variable operation costs of renewable energy sources. It is shown that the proposed hybrid electrification plan, based on WT, PVs and battery, could not only provide a reliable power generation, but also very low daily operating cost
Microgrids
Full text linkMicrogrids are a growing segment of the energy industry, representing a paradigm shift from centralized structures toward more localized, autonomous, dynamic, and bi-directional energy networks, especially in cities and communities. The ability to isolate from the larger grid makes microgrids resilient, while their capability of forming scalable energy clusters permits the delivery of services that make the grid more sustainable and competitive. Through an optimal design and management process, microgrids could also provide efficient, low-cost, clean energy and help to improve the operation and stability of regional energy systems. This book covers these promising and dynamic areas of research and development and gathers contributions on different aspects of microgrids in an aim to impart higher degrees of sustainability and resilience to energy systems
Optimization Models for Operation of Power-to-X Technologies
No full textA climate-neutral energy system relies on an integrated approach to decarbonization across different sectors and end uses, such as electricity, heating, cooling, transport, and industry. Sector coupling represents the key for exploiting synergies coming from the interplay of different energy sources and carriers to enhance flexibility for the whole system and renewable energy integration and increase efficiency in the energy resources use, by also increasing the resilience of existing network infrastructures. Despite these evident benefits, sector coupling and power-to-X (PtX) technologies define new challenges for the energy system operation, being among others the interdependency among energy carriers and related technologies and processes that need to be properly modeled and optimized for an efficient operation, by serving different sustainability objectives. This chapter aims to present a comprehensive analytical framework for the operation optimization of sector coupling and PtX technologies in the context of multi-carrier energy system (MCES) by considering multiple objectives. The mathematical modeling considers all the layers of the dependency, including the system components and intersectoral aspects. The effectiveness of the proposed optimization models is demonstrated through two case studies with different degrees of complexity both in terms of energy carriers considered and end users involved
Optimal Risk-Constrained Stochastic Scheduling of Microgrids with Hydrogen Ve-hicles in Real-time and Day-ahead Markets
No full textBy growing interest in hydrogen vehicles (HVs), hydrogen fueling stations (HFSs) that convert electric power to hydrogen to supply HVs have emerged as a new asset for power grids. To safely and consistently supply HFSs with power, the use of microgrids (MGs), including various flexible generation units, is considered to be a reliable choice. This paper proposes a competence MG scheduling model. In this model, an optimal coordination of HFSs with demand response (DR), energy storage systems (ESS), and appropriate multi-market mechanisms is addressed. Also, a reformulated version of a risk-constrained stochastic scheduling (RSS) model is used to minimize the MG operation cost. The uncertainties associated with the real-time market price, renewables, electrical loads, and HVs are handled by considering conservativeness parameters. In this model, linearized AC optimal power flow (ACOPF) equations are included in the mixed-integer linear programming (MILP) problem to satisfy the security of MG operation. The proposed model is examined on a 21-bus MG while considering various case studies. The results show that the operation of HFSs provides a profit of 254.5$/day by selling hydrogen for MG operator. In addition, it is found that developing the HFS technology can reduce the total daily operation costs of MG by up to 9.6%. It is also shown that participation of MG in both day-ahead and real-time markets leads to a reduction of 11.7% in the operating costs. Moreover, we show that employing DR programs leads to operation cost reduction and load flattening during high-demand hours. The security constraints keep the voltage between 0.97 p.u. and 1 p.u and the loss of lines within a reasonable range. Finally, a comprehensive comparison between our perceptive RSS with traditional stochastic scheduling and conservative RSS is carried out to show the effectiveness of the proposed method.<br/
Stochastic Operation of a Solar-Powered Smart Home:Capturing Thermal Load Uncertainties
Full text linkThis study develops a mixed-integer linear programming (MILP) model for the optimal and stochastic operation scheduling of smart buildings. The aim of this study is to match the electricity demand with the intermittent solar-based renewable resources profile and to minimize the energy cost. The main contribution of the proposed model addresses uncertainties of the thermal load in smart buildings by considering detailed types of loads such as hot water, heating, and ventilation loads. In smart grids, buildings are no longer passive consumers. They are controllable loads, which can be used for demand-side energy management. Smart homes, as a domain of Internet of Things (IoT), enable energy systems of the buildings to operate as an active load in smart grids. The proposed formulation is cast as a stochastic MILP model for a 24-h horizon in order to minimize the total energy cost. In this study, Monte Carlo simulation technique is used to generate 1000 random scenarios for two environmental factors: the outdoor temperature, and solar radiation. Therefore in the proposed model, the thermal load, the output power of the photovoltaic panel, solar collector power generation, and electricity load become stochastic parameters. The proposed model results in an energy cost-saving of 20%, and a decrease of the peak electricity demand from 7.6 KWh to 4.2 KWh
Uniting science, policy, and industry for a greener world: unveiling the path of Academia Green Energy
No full textWe are delighted to unveil the inauguration of Academia Green Energy, a pioneering open-access, peer-reviewed scholarly journal committed to propelling the boundaries of green energy research and cutting-edge technologies. With unwavering dedication, we aim to establish a vibrant forum where esteemed academics, accomplished researchers, and visionary industry professionals can showcase their multidisciplinary endeavors and foster the exchange of profound insights and transformative knowledge across all fields relevant to the science and technology of energy research. Embracing a holistic approach, Academia Green Energy emphasizes the profound interplay between energy, environment, society, and economy, driving the transition towards a cleaner, greener, and more prosperous future.Academia Green Energy adheres to three fundamental principles that expedite the documentation of novel findings and foster the generation of new discoveries. Firstly, our journal emphasizes expeditious publication timelines, enabling swift dissemination of research outcomes. Secondly, we uphold rigorous scholarly standards through an expert peer-review process, ensuring the robustness and integrity of published research. Lastly, we prioritize extensive dissemination of scholarly work, reaching a diverse and expansive readership that extends beyond the millions of Academia.edu members to a global audience. By embracing these principles, we aim to accelerate the advancement of knowledge in the field of green energy, facilitate interdisciplinary collaborations, and catalyze positive societal and environmental impacts
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