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Journals
Smart Cities
Special Issues
Energy Strategies of Smart Cities
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Energy Strategies of Smart Cities

A special issue of Smart Cities (ISSN 2624-6511).

Deadline for manuscript submissions: 30 September 2025 | Viewed by 2260

Special Issue Editors

Prof. Dr. George Cristian Lazaroiu

E-Mail Website
Guest Editor
Department of Power Systems, National University of Science and Technology POLITEHNICA Bucharest, Bucharest, Romania
Interests: smart cities; smart grids
Special Issues, Collections and Topics in MDPI journals
Dr. Mariacristina Roscia

E-Mail Website
Guest Editor
Department of Engineering and Applied Sciences, University of Bergamo, Bergamo, Italy
Interests: smart cities; Internet of Things; smart grids; intelligent transportation
Special Issues, Collections and Topics in MDPI journals
Dr. Daniel G. Costa

E-Mail Website
Guest Editor
Department of Electrical and Computer Engineering (DEEC), Faculty of Engineering (FEUP), University of Porto, Porto, Portugal
Interests: smart cities; Internet of Things; sensor networks; embedded systems; multimedia sensing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The proposed Special Issue on “Energy Strategies of Smart Cities” is a timely topic as existing cities will face concomitant challenges in the following years: the growth of residential populations and the need to improve energy efficiency and combat climate change, in addition to the widespread integration of smart grids, smart metering and innovative energy strategies to enable sustainable development. Smart cities are characterized by the ongoing use and development of digital technologies to improve day-to-day living, as well as the digitalization of the energy sector. This can lead to an increase in the use if exchanged data for monitoring the energy statuses of various consumption and production units, of energy consumption from renewable energy sources to improve energy efficiency and life quality of urban citizens.

The papers submitted to this Special Issue are expected to cover a wide spectrum of topics, including current developments in electrical/thermal/water networks for cities, the economic analysis of energy strategies for smart cities, the integration of distributed energy resources and their impacts on power systems, demand-response program applications, the widespread integration of electric mobility, data security in the digital energy sector, energy policies and stimulating strategies, case studies related to energy strategies in smart cities, and social inclusion in energy strategies for successful development of smart cities.

Contributors working in academia, industry, urban planning, policy making, regulatory bodies and governmental agencies are invited to submit manuscripts to this Special Issue on the development of energy strategies for smart cities that are energy-efficient, sustainable, data-driven, and inclusive.

The rapid development and widespread of urban areas in the last decade has created challenges and opportunities for cities all around the world. Cities are the main centers of social inclusion, culture spreading, and innovation integration and are the promoters of economic development and global progress. In the last few decades, residential consumption has represented a high share of global energy demand, and measures for load flexibility coupled with carbon emission reduction have been used and incentivized to find the most suitable sustainable energy solutions that do not affect way of life and people’s welfare.

The overall focus of the Special Issue titled “Energy Strategy for Smart Cities” in Smart Cities is to investigate and advance current studies and technologies, as well as design advanced approaches for developing energy-efficient, future-climate-neutral, data-driven, inclusive and resilient future cities.

This Special Issue will supplement the existing literature considering the interdisciplinary integration of the technical, social and policy dimensions of energy strategies for smart cities, highlighting the engineering developments in smart grids, artificial-intelligence-driven energy management systems, policy and government holistic frameworks for smart cities, community engagement and social inclusion, urban planning and design used to achieve clean energy/transportation sectors, case studies and business success applications of energy strategies for smart cities, etc.

Prof. Dr. George Cristian Lazaroiu
Dr. Mariacristina Roscia
Dr. Daniel G. Costa
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. Smart Cities 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 2000 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 strategy
  • smart cities
  • technical innovation
  • engineering development
  • artificial-intelligence-driven energy systems
  • policy strategies
  • urban planning
  • sustainable development
  • climate change
  • internet of things
  • data management
  • business cases
  • social behavior
  • inclusive innovation
  • interdisciplinary development
  • governance frameworks

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (3 papers)

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24 pages, 4745 KiB  
Article
Simultaneous Feeder Routing and Conductor Selection in Rural Distribution Networks Using an Exact MINLP Approach
by Brandon Cortés-Caicedo, Oscar Danilo Montoya, Luis Fernando Grisales-Noreña, Walter Gil-González and Jorge Alfredo Ardila-Rey
Smart Cities 2025, 8(2), 68; https://doi.org/10.3390/smartcities8020068 - 15 Apr 2025
Viewed by 217
Abstract
This article addresses the optimal network expansion problem in rural distribution systems using a mixed-integer nonlinear programming (MINLP) model that simultaneously performs route selection and conductor sizing in radial distribution systems. The proposed methodology was validated on 9- and 25-node test systems, comparing [...] Read more.
This article addresses the optimal network expansion problem in rural distribution systems using a mixed-integer nonlinear programming (MINLP) model that simultaneously performs route selection and conductor sizing in radial distribution systems. The proposed methodology was validated on 9- and 25-node test systems, comparing the results against approaches based on the minimum spanning tree (MST) formulation and metaheuristic approaches (the sine-cosine and tabu search algorithms). The MINLP model significantly reduced the total costs. For the nine-node system, the total cost decreased from USD 131,819.33 (MST-TSA) to USD 77,129.34 (MINLP), saving USD 54,689.99 (41.48%). Similarly, the costs of energy losses dropped from USD 111,746.73 to USD 63,764.12, a reduction of USD 47,982.61 (42.94%). In the 25-node system, the total costs fell by over 65% from USD 371,516.59 to USD 128,974.72, while the costs of energy losses decreased by USD 210,057.16 (61.06%). Despite requiring a higher initial investment in conductors, the MINLP model led to substantial long-term savings due to reduced operating costs. Unlike previous methods which separate network topology design and conductor sizing, our proposal integrates both aspects, ensuring globally optimal solutions. The results demonstrate its scalability and effectiveness for long-term distribution planning in complex power networks. The experimental implementation was carried out in Julia (v1.10.2) using JuMP (v1.21.1) and BONMIN. Full article
(This article belongs to the Special Issue Energy Strategies of Smart Cities)
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35 pages, 8254 KiB  
Article
Prospective Design and Evaluation of a Renewable Energy Hybrid System to Supply Electrical and Thermal Loads Simultaneously with an Electric Vehicle Charging Station for Different Weather Conditions in Iran
by Hossein Kiani, Behrooz Vahidi, Seyed Hossein Hosseinian, George Cristian Lazaroiu and Pierluigi Siano
Smart Cities 2025, 8(2), 61; https://doi.org/10.3390/smartcities8020061 - 7 Apr 2025
Viewed by 268
Abstract
The global demand for transportation systems is growing due to the rise in passenger and cargo traffic, predicted to reach twice the current level by 2050. Although this growth signifies social and economic progress, its impact on energy consumption and greenhouse gas emissions [...] Read more.
The global demand for transportation systems is growing due to the rise in passenger and cargo traffic, predicted to reach twice the current level by 2050. Although this growth signifies social and economic progress, its impact on energy consumption and greenhouse gas emissions cannot be overlooked. Developments in the transportation industry must align with advancements in emerging energy production systems. In this regards, UNSDG 7 advocates for “affordable and clean energy”, leading to a global shift towards the electrification of transport systems, sourcing energy from a mix of renewable and non-renewable resources. This paper proposes an integrated hybrid renewable energy system with grid connectivity to meet the electrical and thermal loads of a tourist complex, including an electric vehicle charging station. The analysis was carried on in nine locations with different weather conditions, with various components such as wind turbines, photovoltaic systems, diesel generators, boilers, converters, thermal load controllers, and battery energy storage systems. The proposed model also considers the effects of seasonal variations on electricity generation and charging connectivity. Sensitivity analysis has been carried on investigating the impact of variables on the techno-economic parameters of the hybrid system. The obtained results led to interesting conclusions. Full article
(This article belongs to the Special Issue Energy Strategies of Smart Cities)
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21 pages, 9113 KiB  
Article
Urban-Scale Rooftop Photovoltaic Potential Estimation Using Open-Source Software and Public GIS Datasets
by Matej Cenky, Jozef Bendik, Peter Janiga and Illia Lazarenko
Smart Cities 2024, 7(6), 3962-3982; https://doi.org/10.3390/smartcities7060153 (registering DOI) - 12 Dec 2024
Viewed by 1148
Abstract
This paper aims to effectively estimate urban-scale rooftop photovoltaic potential using strictly open-source software and publicly available GIS data. This approach is often neglected; however, its importance is significant regarding technology transfer and general commercial or academic ease of use. A complete methodology [...] Read more.
This paper aims to effectively estimate urban-scale rooftop photovoltaic potential using strictly open-source software and publicly available GIS data. This approach is often neglected; however, its importance is significant regarding technology transfer and general commercial or academic ease of use. A complete methodology is introduced, including the building shadow analysis. Although many papers are published in similar areas, very few reveal the specific steps and functions in the software used, or the computational core of some part of the estimation is a “black box” of a commercial service. Detailed irradiation parameters can be obtained using the proposed methodologies, and the maximum photovoltaic (PV) power output in the area can be estimated. The great advantage of this model is its scalability and the easy way of modifying every computational parameter. The results and limitations of the proposed methodology are discussed, and further development is suggested. The presented model is based on a sample location in Bratislava, Slovakia, with an area of circa 2.5 km2. Full article
(This article belongs to the Special Issue Energy Strategies of Smart Cities)
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