A novel energy management framework incorporating multi‐carrier energy hub for smart city

Esapour, Khodakhast; Moazzen, Farid; Karimi, Mazaher; Dabbaghjamanesh, Morteza; Kavousi‐Fard, Abdollah

doi:10.1049/gtd2.12500

Cited by 26 publications

(11 citation statements)

References 42 publications

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“…Hence, encourage research and development of renewable energy in the research domain. Part of the advantage does not limited to be achieved short-term (2021 -2025), medium term (2025 -20230) and longterm (2030-2035) and the programmes include: National Biomass Energy Programme, National Solar Energy Programme, National Hydropower Programme, National Wind Energy Programme, Emerging Energy Programme and Framework Programme for Renewable Energy Promotion according to Esapour [27]. A summary of the renewable energy targets is shown in Table 4.…”

Section: Resultsmentioning

confidence: 99%

Development of an Intelligent Smart Hub Renewable Generation System (ISHRGS) for both Urban and Rural Centres in Offa, Kwara State

Kadiri

Jamiu²,

Abdulsalam³

2022

JERR

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Intelligent smart grids combine the generation, storage and consumption of energy systems. The opportunities to generate renewable energy from wind, solar and hydropower are generally higher in rural areas than in cities. The future development of the energy system is based on the planning and management of the distribution grid according to the Smart Hub (SH) component. This study comprehensively reviews the accessibility to the generation of electricity and the accessibility of renewable generation systems in urban and rural centres in Offa. It also examines the potential of an intelligent smart hub renewable generation system (ISHRGS) resources in Offa, Kwara State, that harnesses continuous energy supply and sustainability. Therefore, the historical background of the energy distribution in Offa, which led to this approach, is briefly presented with a comprehensive schematic diagram. Using a typical hypothetical example, modelling different components of SH and using them together to optimize ISHRGS using a genetic algorithm is presented. However, the study compares ISHRGS to different rural development approaches based on the feature of high adaptability to meet the temporal needs efficiently, and the parts reflect the intelligent character of the smart hub concerning electricity demand in the region.

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Section: Resultsmentioning

confidence: 99%

Development of an Intelligent Smart Hub Renewable Generation System (ISHRGS) for both Urban and Rural Centres in Offa, Kwara State

Kadiri

Jamiu²,

Abdulsalam³

2022

JERR

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“…The investigation of a multi-chiller system that utilizes robust optimization techniques to minimize its electrical power consumption is explored in [13] . In [14] have been dedicated to the efficient functioning of energy hub, taking into account the electrical markets, with the aim of achieving the optimal redistribution of electrical loads during operation. In [15] evaluation of the economic modeling of hub systems, considering the stochastic operation of market pricing is conducted.…”

Section: Literature Reviewmentioning

confidence: 99%

Modelling multi-stage energy optimization in the smart hub energy system with hybrid demand management and local supply by Electric Vehicles

jafari,

Najafi,

Pirkolachahi

et al. 2024

Preprint

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The interdependence of energy with social sustainability, economic viability, and environmental impact has led energy operators to conduct thorough investigations into energy scheduling issues. These investigations have prompted the development of new strategies for energy generation, such as the utilization of energy carriers including electrical, gas, and thermal loads. This article presents a model for multi-stage energy optimization in a smart system like energy hub, with a focus on hybrid demand management at the consumer level. The proposed multi-stage energy optimization approach aims to address demand management in the upper stage, while also minimizing energy generation costs and emission pollution in the lower stage. The hybrid demand management is proposed considering two demand response programs like optimal shifting and interrupting of the thermal and electrical demands. The modeling of emission pollution and energy generation costs in the lower stage is done by multi-criteria optimization. As well, local supply strategy is implemented via electric vehicles (EVs) in lower stage by consumers to supply self-electrical demand. The proposed two-stage multi-criteria optimization by using GAMS software is solved. On the other hand, multi-criteria optimization is handled by a modified epsilon-constraint method and max-min fuzzy decision approach in the lower stage of optimization. To validate the mentioned approach, three scenarios are compared, and the results clearly illustrate the energy optimization for minimizing the energy costs and emissions achieved through the presented approach.

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“…The high detecting accuracy has demonstrated the effectiveness of the proposed method. A stacked deep polynomial network for intrusion detection is applied in [65] that can classify datasets into normal and attack data. DBNs are studied in [66,67] for the same task.…”

Section: ) Energy Hubmentioning

confidence: 99%

A Review on Digital Twin Technology in Smart Grid, Transportation System and Smart City: Challenges and Future

et al. 2023

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With recent advances in information and communication technology (ICT), the bleeding edge concept of digital twin (DT) has enticed the attention of many researchers to revolutionize the entire modern industries. DT concept refers to a digital representation of a physical entity that is able to reflect its physical behavior by applying platforms and bidirectional interaction of data in real-time. The remarkable deployment of the internet of things in the power grid has led to reliable access to information that improves its performance and equips it with a powerful tool for real-time data management and analysis. This paper aims to trace the continuous investigation and propose practical ideas in originating and developing DT technology, according to various application domains of power systems, and also describes the proposed solutions to deal with the challenges associated with DT. Indeed, with the development of modern cities, different energy layers such as transportation systems, smart grids, and microgrids have emerged facing various issues that challenge the multi-dimensional energy management system. For example, in transportation systems, traffic is a major problem that requires real-time management, planning, and analysis. In power grids, remote data transfer within the grid and also various analyzes needing real data are just some of the current challenges in the field. These problems can be cracked by providing and analyzing a real twin framework in each section. All in all, this paper aims to survey different applications of DT in the development of the various aspects of energy management within a city including transportation systems, power grids, and microgrids. Besides, the security of DT technology based on ML is discussed. It also provides a complete view for the readers to be able to develop and deploy a DT technology for various power system applications.

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A novel energy management framework incorporating multi‐carrier energy hub for smart city

Cited by 26 publications

References 42 publications

Development of an Intelligent Smart Hub Renewable Generation System (ISHRGS) for both Urban and Rural Centres in Offa, Kwara State

Development of an Intelligent Smart Hub Renewable Generation System (ISHRGS) for both Urban and Rural Centres in Offa, Kwara State

Modelling multi-stage energy optimization in the smart hub energy system with hybrid demand management and local supply by Electric Vehicles

A Review on Digital Twin Technology in Smart Grid, Transportation System and Smart City: Challenges and Future

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