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Energies
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Energy Consumption and Smart Cities
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Energy Consumption and Smart Cities

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "G1: Smart Cities and Urban Management".

Deadline for manuscript submissions: closed (27 August 2023) | Viewed by 3747

Special Issue Editors

Dr. Ahm Shamsuzzoha

E-Mail Website
Guest Editor
Industrial Systems Analytics, Digital Economy Research Platform, School of Technology and Innovation, University of Vaasa, FI-65101 Vaasa, Finland
Interests: energy and environment, supply chain and logistics; digital economy; industrial management; sustainability
Dr. Adebayo Agbejule

E-Mail Website
Guest Editor
Faculty of Mechanical Engineering, Vaasa University of Applied Sciences, Vaasa, Wolffintie 30, 65200 Vaasa, Finland
Interests: renewable energy technologies; energy and environment; business and finance models in renewable energy; design and implementation of renewable energy technologies; innovative supply chain models in energy business; management accounting and project management
Special Issues, Collections and Topics in MDPI journals
Dr. Emmanuel Ndzibah

E-Mail Website
Guest Editor
Industrial Systems Analytics, Digital Economy Research Platform, School of Technology and Innovation, University of Vaasa, FI-65101 Vaasa, Finland
Interests: renewable energy, especially diffusion of photovoltaic systems in developing economies; designs innovative teaching techniques and tools for educational institutions, as well as energy solutions for the African market, market and marketing intelligence in photovoltaic technology and CSR issues

Special Issue Information

Dear Colleagues,

The need for energy storage in the energy system is well recognized. Energy storage provides benefits through flexibility and the possibility of better linking of various energy and economic sectors. Smart cities require energy that includes non-traditional energy generation technologies and energy storage methods. The variations of output from alternative energy generating methods combined with the desire to utilize energy sources more efficiently have led to the emergence of energy storage mechanisms in smart cities. Smart cities incorporate the use of information communication technology (ICT) to promote integrated and sustainable development in urban areas.  Furthermore, smart cities aim at the migration towards more innovative, competitive, and resilient cities. Smart cities strongly relate to people engaging with ICT tools and a common vision of sustainability. The relationship between energy and smart cities include but is not limited to technology integration: smart sensors for lighting control, smart and flexible energy storage, the smart sensor for environmental monitoring (gas, rain, and wastewater management, emissions, and water consumption).

Moreover, smart cities promote citizen engagement: in energy management utilizing smart sensors in the house for energy consumption control and external control based on digitalization of services as well as real-time monitoring of the whole energy infrastructure by smart and integrated mobility solutions. Smart energy technologies have become a key component of many viable energy systems in addressing the sustainability needs of smart cities to be less carbon-intensive and to create resilient energy systems. The rise of energy storage’s ability to make distributed energy systems more flexible, less carbon-intensive, and more resilient is shaping how smart energy solutions can support the sustainability needs of integrated smart city technology and the creation of innovative energy storage systems. One of the main objectives of a smart city is community engagement with energy management. When information regarding energy systems (energy consumption, energy prices, goals, incentives, and energy efficiency) is accessible for the community in real-time, householders start developing their energy strategies.

The Special Issue brings together the following themes:

  • Energy storage applications within smart cities
  • Drivers and barriers of energy storage
  • Energy storage and low carbon energy consumption
  • Business models of energy storage in smart cities
  • Smart cities technology and energy consumption behaviour
  • Energy storage and integrated energy systems
  • Energy policies and smart cities
  • Energy policies and deployment of energy storage systems

Dr. Ahm Shamsuzzoha
Dr. Adebayo Agbejule
Dr. Emmanuel Ndzibah
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 2600 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

  • energy storage
  • low carbon energy consumption
  • smart cities
  • energy consumption behaviour
  • energy policies

Published Papers (2 papers)

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Research

28 pages, 792 KiB  
Article
Energy-Efficient City Transportation Solutions in the Context of Energy-Conserving and Mobility Behaviours of Generation Z
by Kalina Grzesiuk, Dorota Jegorow, Monika Wawer and Anna Głowacz
Energies 2023, 16(15), 5846; https://doi.org/10.3390/en16155846 - 7 Aug 2023
Cited by 1 | Viewed by 1417
Abstract
Undertaking various activities aimed at sustainable development, especially energy conservation, is becoming one of the challenges of modern economies, including developing urban areas. One of the most widely promoted activities is designing and implementing energy-conserving solutions for urban mobility. People play a vital [...] Read more.
Undertaking various activities aimed at sustainable development, especially energy conservation, is becoming one of the challenges of modern economies, including developing urban areas. One of the most widely promoted activities is designing and implementing energy-conserving solutions for urban mobility. People play a vital role in this regard, especially young people, represented here by Generation Z. Their attitudes and behaviours regarding sustainability can significantly impact the effectiveness of energy-efficient technological solutions. The purpose of this article is to examine the nature of the relationship between the assessment of the importance of energy-efficient transportation solutions available in the city and the attitudes and behaviours of representatives of Generation Z relating to the idea of sustainability, broken down into two categories, i.e., energy-conserving behaviour and mobility. In this study, a diagnostic survey method was used. Based on the literature review, we designed a research tool in the form of a questionnaire. Four hundred and ninety representatives of Generation Z participated in the study. To verify the hypotheses, first, a qualitative analysis was carried out for the three study areas using measures of central tendency; then, a correlation analysis was performed based on Pearson’s chi-square independence test, and to determine the strength of the relationship, the following symmetric measures were used: Cramer’s V and the Contingency Coefficient. The normalisation of the data, giving them a quantitative character, allowed the possibility of examining the correlation using Pearson’s test and the directionality of the analysed relationships based on simple and multiple linear regression results. Ananalys is of the obtained results allows us to conclude that energy-related sustainable behaviours in the acquisition of electrical appliances, their use and disposal, and mobility-related energy-conserving behaviours, resulting from the choice of means of transportation for moving in the city, influence the assessment of the importance of available energy-efficient mobility solutions. City administrations could use the study results as a guideline for the implementation of energy-conserving solutions in urban transportation, as well as the planning and promotion of appropriate activities related to the mobility of Generation Z, that are adequate to the attitudes and behaviours of young people. Full article
(This article belongs to the Special Issue Energy Consumption and Smart Cities)
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23 pages, 7967 KiB  
Article
Detection of Anomalies in the Operation of a Road Lighting System Based on Data from Smart Electricity Meters
by Tomasz Śmiałkowski and Andrzej Czyżewski
Energies 2022, 15(24), 9438; https://doi.org/10.3390/en15249438 - 13 Dec 2022
Cited by 2 | Viewed by 1549
Abstract
Smart meters in road lighting systems create new opportunities for automatic diagnostics of undesirable phenomena such as lamp failures, schedule deviations, or energy theft from the power grid. Such a solution fits into the smart cities concept, where an adaptive lighting system creates [...] Read more.
Smart meters in road lighting systems create new opportunities for automatic diagnostics of undesirable phenomena such as lamp failures, schedule deviations, or energy theft from the power grid. Such a solution fits into the smart cities concept, where an adaptive lighting system creates new challenges with respect to the monitoring function. This article presents research results indicating the practical feasibility of real-time detection of anomalies in a road lighting system based on analysis of data from smart energy meters. Short-term time series forecasting was used first. In addition, two machine learning methods were used: one based on an autoregressive integrating moving average periodic model (SARIMA) and the other based on a recurrent network (RNN) using long short-term memory (LSTM). The algorithms were tested on real data from an extensive lighting system installation. Both approaches enable the creation of self-learning, real-time anomaly detection algorithms. Therefore, it is possible to implement them on edge computing layer devices. A comparison of the algorithms indicated the advantage of the method based on the SARIMA model. Full article
(This article belongs to the Special Issue Energy Consumption and Smart Cities)
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