Topic Editors

Department of Engineering, Universidad de Almería, La Cañada de San Urbano s/n, 04120 Almería, Spain
Prof. Dr. John Alexander Taborda-Giraldo
Faculty of Engineering, Universidad del Magdalena, Santa Marta 470003, Colombia

Recent Advances in Smart Grid and Energy Storage Applications

Abstract submission deadline
31 October 2025
Manuscript submission deadline
31 January 2026
Viewed by
1048

Topic Information

Dear Colleagues,

The evolution of smart grids and energy storage technologies is transforming the energy sector, addressing grid stability, energy efficiency, and renewable energy integration challenges. Recent advances enable enhanced real-time grid monitoring, predictive analytics, and demand–response strategies. Innovations in energy storage systems (ESSs), including batteries, supercapacitors, and hydrogen-based solutions, are revolutionizing energy management and dispatch. Integrating artificial intelligence (AI), the Internet of Things (IoT), and advanced power electronics further strengthens smart grid operations, improving reliability, flexibility, and resilience. Additionally, smart grids have a vital role in smart cities, enabling sustainable urban development through intelligent energy distribution, smart metering, and energy-efficient strategies. Emerging technologies like non-intrusive load monitoring (NILM) play a key role in energy disaggregation, enhancing energy efficiency and enabling personalized energy consumption insights for residential and industrial applications. This Topic explores the latest research, technological breakthroughs, and case studies on smart grids, NILM, energy storage, and their integration into smart city infrastructures. This discussion highlights challenges, emerging trends, and innovations shaping the future of energy management and urban sustainability.

Prof. Dr. Alfredo Alcayde
Prof. Dr. John Alexander Taborda-Giraldo
Topic Editors

Keywords

  • smart grid
  • energy storage systems (ESSs)
  • grid modernization
  • renewable energy integration
  • smart cities
  • non-intrusive load monitoring (NILM)
  • demand–response
  • artificial intelligence (AI) in energy
  • Internet of Things (IoT)
  • energy disaggregation

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Electronics
electronics
2.6 5.3 2012 16.4 Days CHF 2400 Submit
Energies
energies
3.0 6.2 2008 16.8 Days CHF 2600 Submit
Processes
processes
2.8 5.1 2013 14.9 Days CHF 2400 Submit
Smart Cities
smartcities
7.0 11.2 2018 28.4 Days CHF 2000 Submit
Sustainability
sustainability
3.3 6.8 2009 19.7 Days CHF 2400 Submit
Electricity
electricity
- 4.8 2020 27.9 Days CHF 1000 Submit
Inventions
inventions
2.1 4.8 2016 18.5 Days CHF 1800 Submit

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Published Papers (1 paper)

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16 pages, 3414 KiB  
Article
Efficiency Improvement in a Crude Oil Heating Furnace Based on Linear Regulation Control Strategies
by Francisco Jacas-Portuondo, Leonardo Peña-Pupo, Miguel R. Forgas-Brioso, Electo E. Silva-Lora, John A. Taborda-Giraldo and José R. Nuñez-Alvarez
Energies 2025, 18(7), 1578; https://doi.org/10.3390/en18071578 - 21 Mar 2025
Viewed by 814
Abstract
This paper presents research results to improve energy efficiency in one of the crude oil heating furnaces at the “Hermanos Díaz” refinery in Santiago de Cuba, Cuba. It analyzes the main process’s variables and disturbances, and the multivariate dynamic behavior of the F-101 [...] Read more.
This paper presents research results to improve energy efficiency in one of the crude oil heating furnaces at the “Hermanos Díaz” refinery in Santiago de Cuba, Cuba. It analyzes the main process’s variables and disturbances, and the multivariate dynamic behavior of the F-101 furnace temperature is characterized to evaluate different control strategies. In addition, the design of a linear regulation control law was implemented as a way to solve the limitations of the existing control of the furnace, to control the plant for the first time with a multivariable approach, demonstrating superior performance by guaranteeing decoupling between the variables, decreasing the overruns by 6%, and increasing the response speed of the system by more than 5 min. The comparison with results obtained with other control strategies allowed us to determine the better performance of the furnace by increasing its energy efficiency, evidencing the economic and environmental impact and obtaining as benefits a better dynamic behavior by reducing fuel oil consumption by 5%, equivalent to 0.74 m3/day, which reduces the operating costs of the plant, the temperature of the gasses by 2%, emissions of CO2 pollutant gas to the environment by between 3 and 5%, and increasing energy efficiency by 1.5%. Full article
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