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Special Issue "Smart Technologies, Management and Control for Energy Systems and Networks"

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A5: Smart Grids and Microgrids".

Deadline for manuscript submissions: closed (20 August 2021) | Viewed by 3191

Special Issue Editors

Dr. Lucio Ciabattoni
E-Mail Website
Guest Editor
Industrial Engineering and Mathematical Sciences Department, Università Politecnica delle Merche, Via Brecce Bianche 12, 60131 Ancona, Italy
Interests: renewable energy; energy management systems; computational intelligence; energy storage; smart grids and microgrids; control systems; demand-side flexibility
Prof. Dr. Gabriele Comodi
E-Mail Website
Guest Editor
Industrial Engineering and Mathematical Sciences Department, Università Politecnica delle Merche, Via Brecce Bianche 12, 60131 Ancona, Italy
Interests: energy transition; energy storage systems and technologies; distributed generation; multi-energy systems/hubs; modeling and planning; polygeneration; renewable energies; cogeneration; local energy communities
Prof. Dr. Giorgio Graditi
E-Mail Website
Guest Editor
ENEA -Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Naples, Italy
Interests: power systems design and control; power system conversion; PV; CPV electrical design; characterization and testing; microgrids and smart grids modelling and analysis; multi-objective optimization applications
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Anna Pinnarelli
E-Mail Website
Guest Editor
Department of Energy, Mechanical and Management Engineering, University of Calabria, Calabria, Italy
Interests: FACTS technology; harmonic analysis; electrical system automation and decentralized control; electrical power systems control and management with particular attention on the consequence of market scenario; smart grid; microgrid; nanogrid technologies and demand response modelling and analysis; market model and aggregator framework for energy district and energy communities
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent decades, an ever-growing concern about energy transition has fostered a massive use of renewable energy systems, provided the electrification of conventional means of transportation, and enhanced the use of energy storage from residential to industrial, tertiary, and utility level applications.

Furthermore, novel technologies and techniques, from ICT to AI, together with the large-scale adoption of distributed energy systems, sector coupling, and demand flexibility, have enabled a new realm of possibilities for the management and control of networks.

This Special Issue will focus on the key technologies enabling energy transition in future multi-energy systems and networks. In particular, the ever-growing importance of exploiting synergies between different energy networks, namely electric, natural gas, district heating and cooling, and, to a wider extent, other “networks” such as E-mobility and water is becoming widely recognized. When dealing with multi-energy systems, a holistic approach should be used. Technologies enabling interactions between networks (polygeneration, heat pumps, etc.), optimal management and control strategies, energy storages (EES, TES, power-to-X,), and ICT tools will play a pivotal role to fully exploit the potential flexibility required when increasing the share of energy production from non-programmable renewables sources. In this context, authors are invited to submit their original research works focusing on the energy transition towards a cleaner future.

The topics of interest include, but are not limited to the following:

  • Operation and advanced control of grids, microgrids, and nanogrids
  • Optimal sizing and operation of energy systems and networks
  • Modern demand-side response and demand-side management strategies
  • Digitalization and resilience of energy networks
  • Market and economic issues in energy grids
  • Grid-integration of renewables and hydrogen
  • Power to x: power-to-hydrogen, power-to-gas, and power-to-heat
  • Distributed generation and energy storage
  • Key enabling smart technologies

Dr. Lucio Ciabattoni
Prof. Gabriele Comodi
Prof. Dr. Giorgio Graditi
Prof. Dr. Anna Pinnarelli
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Operation and advanced control of grids, microgrids, and nanogrids
  • Optimal sizing and operation of energy systems and networks
  • Modern demand-side response and demand-side management strategies
  • Digitalization and resilience of energy networks
  • Market and economic issues in energy grids
  • Grid-integration of renewables and hydrogen
  • Power to x: power-to-hydrogen, power-to-gas, and power-to-heat
  • Distributed generation and energy storage
  • Key enabling smart technologies

Published Papers (4 papers)

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Research

Article
Energy, Environmental, and Economic Analyses of a District Heating (DH) Network from Both Thermal Plant and End-Users’ Prospective: An Italian Case Study
Energies 2021, 14(22), 7783; https://doi.org/10.3390/en14227783 - 20 Nov 2021
Cited by 3 | Viewed by 502
Abstract
District heating (DH) is an alternative technology to Individual Heating (IH) for satisfying end-user’s needs. This paper assesses the competitiveness of a DH network in the center of Italy from energy, environmental, and economic points of view considering both thermal power plant and [...] Read more.
District heating (DH) is an alternative technology to Individual Heating (IH) for satisfying end-user’s needs. This paper assesses the competitiveness of a DH network in the center of Italy from energy, environmental, and economic points of view considering both thermal power plant and end-users’ sides. On the thermal power plant side, the energy analysis considers the Primary Energy Saving (PES) and the specific energy (Esp) of the fuel actually exploited in the thermal power plant compared to its Low Heating Value (LHV), while the environmental analysis considers the avoided CO2 and the economic analysis considers the Energy Efficiency Certificates (EECs). Results showed that the current thermal power plant configuration with two boilers and a Combined Heat and Power (CHP) unit reaches a yearly PES of 21.3% as well as 1099 tCO2 avoided. From the economic analysis of the thermal power plant side, 829 EECs with an economic return of 207,222€ are obtained, while from the end-users’ side the DH network is cheaper than IH in 84.7% of the cases. Further technologies are also studied to enhance the CHP unit flexibility. Full article
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Article
Selection of Appropriate Dispatch Strategies for Effective Planning and Operation of a Microgrid
Energies 2021, 14(21), 7217; https://doi.org/10.3390/en14217217 - 02 Nov 2021
Cited by 7 | Viewed by 589
Abstract
The power system responsiveness may be improved by determining the ideal size of each component and performing a reliability analysis. This study evaluated the design and optimization of an islanded hybrid microgrid system with multiple dispatch algorithms. As the penetration of renewable power [...] Read more.
The power system responsiveness may be improved by determining the ideal size of each component and performing a reliability analysis. This study evaluated the design and optimization of an islanded hybrid microgrid system with multiple dispatch algorithms. As the penetration of renewable power increases in microgrids, the importance and influence of efficient design and operation of islanded hybrid microgrids grow. The Kangaroo Island in South Australia served as the study’s test microgrid. The sizing of the Kangaroo Island hybrid microgrid system, which includes solar PV, wind, a diesel engine, and battery storage, was adjusted for four dispatch schemes. In this study, the following dispatch strategies were used: (i) load following, (ii) cycle charging, (iii) generator order, and (iv) combination dispatch. The CO2 emissions, net present cost (NPC), and energy cost of the islanded microgrid were all optimized (COE). The HOMER microgrid software platform was used to build all four dispatch algorithms, and DIgSILENT PowerFactory was used to analyze the power system’s responsiveness and dependability. The findings give a framework for estimating the generation mix and required resources for an islanded microgrid’s optimal functioning under various dispatch scenarios. According to the simulation results, load following is the optimum dispatch technique for an islanded hybrid microgrid that achieves the lowest cost of energy (COE) and net present cost (NPC). Full article
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Article
Holonic System Model for Resilient Energy Grid Operation
Energies 2021, 14(14), 4120; https://doi.org/10.3390/en14144120 - 08 Jul 2021
Viewed by 640
Abstract
The transformation of energy grids towards smart grids is driven by numerous political, economic, and ecological goals. As part of this process, the centralized top-down architecture of energy grids changes towards increasingly decentralized structures. It is widely accepted that the challenges emerging from [...] Read more.
The transformation of energy grids towards smart grids is driven by numerous political, economic, and ecological goals. As part of this process, the centralized top-down architecture of energy grids changes towards increasingly decentralized structures. It is widely accepted that the challenges emerging from this transition threaten the resilient operation of energy grids. For instance, the volatility of renewable energy sources challenges the required balance between demand and supply; their distribution in the energy grid likewise complicates their coordination. Holarchies are a promising (systems-of-systems) architectural pattern for smart grids fostering fast isolation and self-sustained operation of subparts (so-called holons), as well as supporting dynamic reconfigurations of the grid’s structure. To leverage these properties to increase the resilience of smart grids, we propose a system model that combines a holonic architecture and locally available resources offered by prosumers. Our model organizes the participants in the grid as holarchy and enables the application of fine-grained control mechanisms. We show the capabilities of the model by resolving an overproduction situation and a situation of severe electricity scarcity using a modified binary ant colony optimization approach. Our evaluation with the simulation environment HOLEG shows that the system model and the proposed algorithm can quickly mitigate balancing problems in holonic energy grids. Full article
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Article
A Novel Open-Source Simulator Of Electric Vehicles in a Demand-Side Management Scenario
Energies 2021, 14(6), 1558; https://doi.org/10.3390/en14061558 - 11 Mar 2021
Cited by 2 | Viewed by 639
Abstract
Recently, due to the growth of the electric vehicle (EV) market, the investigation of grid-to-vehicle and vehicle-to-grid strategies has become a priority in both the electric mobility and distribution grid research areas. However, there is still a lack of large-scale data sets to [...] Read more.
Recently, due to the growth of the electric vehicle (EV) market, the investigation of grid-to-vehicle and vehicle-to-grid strategies has become a priority in both the electric mobility and distribution grid research areas. However, there is still a lack of large-scale data sets to test and deploy energy management strategies. In this paper, a fully customizable EV population simulator is presented as an attempt to fill this gap. The proposed tool is designed as a web simulator as well as a Matlab/Simulink block, in order to facilitate its integration in different projects and applications. It provides individual and aggregated charge, discharge and plugin/out event data for a population of EVs, considering both home and public charging stations. The population is generated on the basis of statistical data (which can be fully customized) including commuting distances, vehicle models, traffic and social behavior of the owners. A peak-shaving case study is finally proposed to show the potential of the simulator. Full article
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