Special Issue "Digitalisation, Green Deal and Sustainability"

A special issue of Informatics (ISSN 2227-9709). This special issue belongs to the section "Industrial Informatics".

Deadline for manuscript submissions: 28 February 2022.

Special Issue Editors

Dr. Tiziana Guzzo
E-Mail Website
Guest Editor
Consiglio Nazionale delle Ricerche - IRPPS Via Palestro, 32, 00185 Rome, Italy
Interests: social informatics; social media; social networking; online learning; technology acceptance; credibility of online information
Dr. Patrizia Grifoni
E-Mail Website
Guest Editor
Consiglio Nazionale delle Ricerche - IRPPS Via Palestro, 32, 00185 Rome, Italy
Interests: social informatics; social computing; web applications; intelligent systems; human–machine interaction; multimodal interaction; sketch-based interfaces; multimedia applications; user modeling; knowledge bases; spatial data; geographic information systems; responsible research and innovation; ethics; risk management; web 2.0; Internet of the future; social networks
Special Issues and Collections in MDPI journals
Dr. Fernando Ferri
E-Mail Website
Guest Editor
Consiglio Nazionale delle Ricerche - IRPPS Via Palestro, 32, 00185 Rome, Italy
Interests: social informatics; social computing; web applications; intelligent systems; data and knowledge bases; human-machine interaction; user–machine natural interaction; user modeling; visual interaction; sketch-based interfaces; geographic information systems; medical informatics
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

The pandemic crisis is accelerating the need for a more digitalized and green world. The European Commission is making a strong effort in this direction toward “the dual-transition for a more sustainable and digitalised recovery plan” (https://www.ceep.eu/the-place-of-the-eu-green-deal-and-digitalisation-in-the-eu-recovery/) identifying as objective the EU climate neutral by 2050.

The importance and urgency of addressing digitalization challenges jointly with the green deal and sustainability issues have been recognized by policymakers, industry, academia, and all societal actors.

ICTs and the digitalization process play a crucial role as an enabler for the whole economy in the green transition, implementing more sustainable and energy-efficient solutions. For this reason, the scientific community, companies, policymakers, and societal actors are interested in discussing and developing new theories, methods, models, and tools enabling a digitalization process that facilitates addressing green deal challenges.

We need to develop and adopt innovative and low-carbon digital solutions that on one hand enable ICT researchers and industry answering to the growing demand for digital services and on the other hand enable researchers and industry of other sectors to provide services with less CO2 emissions.

This Special Issue aims to cover theoretical aspects and applications of ICTs and the Green Deal; topics include but are not limited to the following:

  • New methodologies and models for data of resources management;
  • Smart infrastructures;
  • Industry 4.0;
  • Digitalization and circular economy;
  • Cloud services for the safe storage and sharing of data;
  • Reliable and energy-efficient cloud and edge infrastructures;
  • The Internet of Things (IoT) and green deal;
  • Digital social services;
  • Innovations to the market;
  • Impacts and new scenarios.

The goal of the Special Issue is to bring together interdisciplinary research dealing with Green ICT. The Special Issue welcomes theoretical and practical contributions as well as current trends, research challenges, and future developments.

Dr. Tiziana Guzzo
Dr. Patrizia Grifoni
Dr. Fernando Ferri
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 papers will be 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. Informatics is an international peer-reviewed open access quarterly 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 1400 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

  • knowledge management
  • digital industry
  • cloud computing
  • smart energy grids
  • edge computing
  • Internet of Things
  • green industry
  • high-performance computing (HPC)
  • big data management

Published Papers (1 paper)

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Research

Article
Voltage-Based Hybrid Algorithm Using Parameter Variations and Stockwell Transform for Islanding Detection in Utility Grids
Informatics 2021, 8(2), 21; https://0-doi-org.brum.beds.ac.uk/10.3390/informatics8020021 - 25 Mar 2021
Viewed by 528
Abstract
This paper has introduced an algorithm for the identification of islanding events in the remotely located distribution grid with renewable energy (RE) sources using the voltage signals. Voltage signal is processed using Stockwell transform (ST) to compute the median-based islanding recognition factor (MIRF). [...] Read more.
This paper has introduced an algorithm for the identification of islanding events in the remotely located distribution grid with renewable energy (RE) sources using the voltage signals. Voltage signal is processed using Stockwell transform (ST) to compute the median-based islanding recognition factor (MIRF). The rate of change in the root mean square (RMS) voltage is computed by differentiating the RMS voltage with respect to time to compute the voltage rate of change in islanding recognition factor (VRCIRF). The proposed voltage-based islanding recognition factor (IRFV) is computed by multiplying the MIRF and VRCIRF element to element. The islanding event is discriminated from the faulty and operational events using the simple decision rules using the peak magnitude of IRFV by comparing peak magnitude of IRFV with pre-set threshold values. The proposed islanding detection method (IDM) effectively identified the islanding events in the presence of solar energy, wind energy and simultaneous presence of both wind and solar energy at a fast rate in a time period of less than 0.05 cycles compared to the voltage change rate (ROCOV) and frequency change rate (ROCOF) IDM that detects the islanding event in a time period of 0.25 to 0.5 cycles. This IDM provides a minimum non-detection zone (NDZ). This IDM efficiently discriminated the islanding events from the faulty and switching events. The proposed study is performed on an IEEE-13 bus test system interfaced with renewable energy (RE) generators in a MATLAB/Simulink environment. The performance of the proposed IDM is better compared to methods based on the use of ROCOV, ROCOF and discrete wavelet transform (DWT). Full article
(This article belongs to the Special Issue Digitalisation, Green Deal and Sustainability)
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