Optimal management of energy hubs and smart energy hubs – A review

Mohammadi, Mohammad; Noorollahi, Younes; Mohammadi‐Ivatloo, Behnam; Hosseinzadeh, Mehdi; Yousefi, Hossein; Khorasani, Sasan Torabzadeh

doi:10.1016/j.rser.2018.02.035

Cited by 244 publications

(114 citation statements)

References 92 publications

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“…Intelligent solutions for control and operation of the various individual components that comprise an urban energy system have become increasingly prevalent [10]. Often driven by the goals of reducing energy consumption, emissions or cost [11], while maintaining robustness to uncertainty [12], such approaches seek to leverage the key enablers of increased computational power and data ubiquity, as well as artificial intelligence (AI), machine learning and advanced control techniques [12]. These approaches need not be solely characterised as 'Smart City' related interventions and are often considered in an isolated manner.…”

Section: Review Of Existing Concepts and Applications In Smart Energymentioning

confidence: 99%

“…Without appropriate strategies, wastefulness is inevitable. With this in mind, inefficiencies resulting from improperly managed data is covered in [11]. Capturing the data while avoiding inefficiencies requires appropriate platforms to be developed with the power to process and integrate a large number of data streams from different sources, potentially with varying timescales and data formats, while also providing the necessary APIs and storage capability.…”

Section: Big Data and The Internet Of Thingsmentioning

confidence: 99%

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Smart energy systems for sustainable smart cities: Current developments, trends and future directions

et al. 2019

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Within the context of the Smart City, the need for intelligent approaches to manage and coordinate the diverse range of supply and conversion technologies and demand applications has been well established. The wide-scale proliferation of sensors coupled with the implementation of embedded computational intelligence algorithms can help to tackle many of the technical challenges associated with this energy systems integration problem. Nonetheless, barriers still exist, as suitable methods are needed to handle complex networks of actors, often with competing objectives, while determining design and operational decisions for systems across a wide spectrum of features and time-scales. This review looks at the current developments in the smart energy sector, focussing on techniques in the main application areas along with relevant implemented examples, while highlighting some of the key challenges currently faced and outlining future pathways for the sector. A detailed overview of a framework developed for the EU H2020 funded Sharing Cities project is also provided to illustrate the nature of the design stages encountered and control hierarchies required. The study aims to summarise the current state of computational intelligence in the field of smart energy management, providing insight into the ways in which current barriers can be overcome.

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Section: Review Of Existing Concepts and Applications In Smart Energymentioning

confidence: 99%

Section: Big Data and The Internet Of Thingsmentioning

confidence: 99%

Smart energy systems for sustainable smart cities: Current developments, trends and future directions

et al. 2019

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“…An energy hub [1]- [5] is an intermediate link between energy producers, transport infrastructure and consumers on the other hand ( Figure 1). The main functions are the transfer, conversion and storage of energy resources.…”

Section: The Main Provisionsmentioning

confidence: 99%

Development of the methodological basis of the simulation modelling of the multi-energy systems

et al. 2019

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The most modern technical systems are an integration of various energy converters and sources of various physical nature. Mechanical, thermal, electromagnetic, as well as computer (information) monitoring and control system. Multi-energy systems (MES) also belong to the class of such technical devices. The main task in creating mathematical models is a methodological approach that allows joint modelling of 6 energy objects of various nature on a single methodological basis. The article considers the main approaches to the mathematical description of MES, as well as the assumptions and stages of formation for modelling this class of technical systems. The main advantages and disadvantages of the proposed methods for creating mathematical models are considered taking into account the possibility of using optimization methods and using the above models as digital twins for control systems. In addition, the article will present a methodological approach to the formation of mathematical models of an integrated energy system based on the concept of an energy hub using MATLAB.

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“…The VPP obtained by clustering DERs will be able to monitor and control the power absorbed by electrical users and provide dispatching/flexibility services to the electricity distributor. Another interesting and promising concept within SDN can be represented by energy hub (EH), namely a common framework that integrates different energy carriers at production, distribution, conversion, storage and consumption stages [3,18]. Therefore, EHs, also called multi-energy systems (MESs), conjugate electricity, heat, cooling, fuels, and transport needs, which can interact optimally to each other at various levels (for instance, within a district, city or region).…”

Section: The Transition From Passive Towards Smart Distribution Networkmentioning

confidence: 99%

Multidisciplinary Approach for the Development of Smart Distribution Networks

Ghiani¹,

Serpi²,

Pilloni³

et al. 2018

Preprint

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Electric power systems are experiencing relevant changes involving the growing penetration of distributed generation and energy storage systems, the introduction of electric vehicles, the management of responsive loads, the proposals for new energy markets and so on. Such evolution is pushing for a paradigm shift: the management must move from traditional planning and manual intervention to full "smartization" of medium and low voltage networks. Peculiarities and criticalities of future power distribution networks originate from the complexity of the system that includes both the physical aspects of electric networks and the cyber aspects, like data elaboration, feature extraction, communication, supervision and control; only fully integrated advanced monitoring systems can foster this transition towards network automation. The design and development of such future networks require distinct kinds of expertise in the industrial and information engineering fields. In this context, this paper provides a comprehensive review of current challenges and multidisciplinary interactions in the development of smart distribution networks.

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Optimal management of energy hubs and smart energy hubs – A review

Cited by 244 publications

References 92 publications

Smart energy systems for sustainable smart cities: Current developments, trends and future directions

Smart energy systems for sustainable smart cities: Current developments, trends and future directions

Development of the methodological basis of the simulation modelling of the multi-energy systems

Multidisciplinary Approach for the Development of Smart Distribution Networks

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