Special Issue "Investigating Waste Behaviours for Reducing the Strain on Critical Infrastructures"

A special issue of Infrastructures (ISSN 2412-3811).

Deadline for manuscript submissions: 30 November 2021.

Special Issue Editors

Dr. William Hurst
E-Mail Website
Guest Editor
Information Technology Group, Wageningen University and Research, Building No. 201 (Leeuwenborch), Hollandseweg 1, 6706 KN Wageningen, The Netherlands
Interests: data science; creative technologies; critical infrastructure protection; simulation and 3D graphics; smart metering
Special Issues and Collections in MDPI journals
Dr. Kwabena Ebo Bennin
E-Mail Website
Guest Editor
Information Technology Group, Wageningen University and Research, Building No. 201 (Leeuwenborch), Hollandseweg 1, 6706 KN Wageningen, The Netherlands
Interests: empirical software engineering; machine learning and predictive modelling; explainable AI; smart metering
Dr. Ben Kotze
E-Mail Website
Guest Editor
Faculty of Engineering, Built Environment and Information Technology, Central University of Technology-Free State, Bloemfontein 9300, South Africa
Interests: robotics; AGV’s; microcontrollers; programming; AI; renewable technology; vision
Dr. Tonderayi Mangara
E-Mail Website
Guest Editor
Faculty of Engineering, Built Environment and Information Technology, Central University of Technology-Free State, Bloemfontein 9300, South Africa
Interests: smart metering; smart grid; energy; supply resilience and resilient infrastructure

Special Issue Information

Dear Colleagues,

Urbanisation is surging, with over half of the human population predicted to live in an urban environment in the near future. This growth will place a strain on critical infrastructure distribution networks, which already operate in a state that is complex and intertwined within society. In order to create a sustainable society, there needs to be a change in both societal behaviours (e.g. reducing water/energy/food waste activities) and the technology currently in place (e.g. greater use of green energy, digital twins, preventative maintenance solutions and precision technology). The main challenges are that there is no in-depth knowledge or understanding of waste behaviour, a lack of technological solutions to address this and stark inequalities globally in current critical infrastructure systems. This special issue aims to invite research articles (including theoretical and applied works) that will further the understanding of waste behaviours, the reliability/availability and resilience of critical infrastructures, and the use of advanced technologies for reducing waste.

Areas of interest include the following:

  • Food, Water and Energy waste behaviour
  • Digital twins for infrastructure management
  • AR/VR for greater process awareness
  • Critical infrastructure optimisation and precision
  • Transmission / distribution network regimes
  • Component importance measures
  • Smart grid/smart metering
  • Preventative maintenance with artificial intelligence
  • Supply resilience and resilient infrastructure design
  • Green computing technologies for reduced emissions

Dr. William Hurst
Dr. Kwabena Ebo Bennin
Dr. Ben Kotze
Dr. Tonderayi Mangara
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. Infrastructures is an international peer-reviewed open access monthly 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

  • water, energy and food Network
  • digital twins
  • augmented/virtual reality
  • waste behaviours
  • interconnectivity
  • transmission / distribution network regimes
  • artificial intelligence and machine learning

Published Papers (1 paper)

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Research

Article
A Hidden Markov Model and Fuzzy Logic Forecasting Approach for Solar Geyser Water Heating
Infrastructures 2021, 6(5), 67; https://doi.org/10.3390/infrastructures6050067 - 30 Apr 2021
Viewed by 393
Abstract
Time-based smart home controllers govern their environment with a predefined routine, without knowing if this is the most efficient way. Finding a suitable model to predict energy consumption could prove to be an optimal method to manage the electricity usage. The work presented [...] Read more.
Time-based smart home controllers govern their environment with a predefined routine, without knowing if this is the most efficient way. Finding a suitable model to predict energy consumption could prove to be an optimal method to manage the electricity usage. The work presented in this paper outlines the development of a prediction model that controls electricity consumption in a home, adapting to external environmental conditions and occupation. A backup geyser element in a solar geyser solution is identified as a metric for more efficient control than a time-based controller. The system is able to record multiple remote sensor readings from Internet of Things devices, built and based on an ESP8266 microcontroller, to a central SQL database that includes the hot water usage and heating patterns. Official weather predictions replace physical sensors, to provide the data for the environmental conditions. Fuzzification categorises the warm water usage from the multiple sensor recordings into four linguistic terms (None, Low, Medium and High). Partitioning clustering determines the relationship patterns between weather predictions and solar heating efficiency. Next, a hidden Markov model predicts solar heating efficiency, with the Viterbi algorithm calculating the geyser heating predictions, and the Baum–Welch algorithm for training the system. Warm water usage and solar heating efficiency predictions are used to calculate the optimal time periods to heat the water through electrical energy. Simulations with historical data are used for the evaluation and validation of the approach, by comparing the algorithm efficiency against time-based heating. In a simulation, the intelligent controller is 19.9% more efficient than a time-based controller, with higher warm water temperatures during the day. Furthermore, it is demonstrated that a controller, with knowledge of external conditions, can be switched on 728 times less than a time-based controller. Full article
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