Stefano Lilla | Smart Grid | Best Researcher Award

Best Researcher Award

Stefano Lilla
University of Bologna, Italy
Research Recognition Profile
Affiliation University of Bologna
Country Italy
Scopus ID 57197784391
Documents 12
Citations 172
h-index 4
Subject Area Smart Grid
Event World Green Energy Awards
ORCID 0000-0002-1333-6983

Stefano Lilla is associated with the University of Bologna and conducts research activities within electrical energy systems, local energy communities, and smart grid optimization frameworks. His scholarly profile includes work on energy management models, distributed optimization methods, and microgrid operational strategies. Current research activities frequently emphasize sustainable electricity infrastructures and practical implementation methods in modern power systems.[1]

Abstract

This article presents a structured overview of the research profile of Stefano Lilla and examines his academic activities related to smart grid technologies and energy system optimization. Existing records indicate involvement in energy communities and distributed energy management approaches. Published studies demonstrate a technical focus on improving operational flexibility and electrical system performance.[2]

Keywords

Smart Grid, Local Energy Communities, Microgrid Management, Energy Optimization, Distributed Systems, Renewable Energy Integration, Power Systems, Electrical Engineering.

Introduction

Modern energy systems increasingly depend on decentralized resources and intelligent management methods. Research within this field often combines computational optimization with practical electrical engineering applications. Such developments contribute toward efficient operation of renewable energy resources and support sustainable power infrastructures.[3]

Research Profile

Stefano Lilla’s documented research profile reflects contributions involving energy management systems and smart distribution frameworks. Academic records show participation in conference papers and journal articles involving distributed scheduling methods. Research activity also extends toward industrial applications and community-based energy systems.[4]

Research Contributions

Documented studies include optimization models for microgrids, alternating direction methods for scheduling, and utility-scale battery investigations. These studies examine practical electrical network challenges and methods for balancing operational efficiency. Research outcomes contribute to broader understanding of flexible and resilient energy systems.[5]

Publications

Published work associated with Stefano Lilla demonstrates continuing engagement with smart grid engineering and energy optimization research. Articles and conference papers have addressed local energy communities, industrial DC microgrids, and distributed decision frameworks. The publication pattern suggests a combination of theoretical development and practical system implementation approaches. Research outputs additionally indicate collaboration across multiple energy engineering disciplines and institutions.[2]

Research Impact

Citation statistics and indexed publications suggest measurable academic visibility within electrical engineering literature. Research impact can also be observed through continuing publication activity and collaborative projects. The practical orientation of the work supports ongoing discussion regarding energy transition strategies.[1]

Award Suitability

Available academic indicators suggest relevance for consideration in research recognition categories related to sustainable energy systems. Assessment of suitability may reasonably include publication activity, subject specialization, and research continuity. Recognition frameworks generally consider these indicators alongside broader scholarly contributions.

Conclusion

The research profile reviewed here presents a concise scholarly overview of Stefano Lilla and his documented work within energy systems engineering. Current evidence indicates continued participation in smart grid and energy optimization research. Future publications may further expand the observed scope of contribution.

References

  1. Elsevier. (n.d.). Scopus author details: Stefano Lilla, Author ID 57197784391.
    https://www.scopus.com/authid/detail.uri?authorId=57197784391
  2. Lilla, S., Orozco, C., Borghetti, A., Napolitano, F., & Tossani, F. (2020). Day-Ahead Scheduling of a Local Energy Community: An Alternating Direction Method of Multipliers Approach. IEEE Transactions on Power Systems, 35(2), 1132-1142.
    https://doi.org/10.1109/TPWRS.2019.2944541
  3. Lilla, S. (2019). Energy Management Systems of Microgrids. University of Bologna Dissertation.
    https://doi.org/10.6092/unibo/amsdottorato/8778
  4. Lilla, S. et al. (2017). Mixed Integer Programming Model for the Operation of an Experimental Low-Voltage Network. IEEE PowerTech.
    https://doi.org/10.1109/PTC.2017.7981175
  5. Lilla, S., Missiroli, M., Borghetti, A., Tossani, F., & Nucci, C.A. (2026). Enhancing Grid Sustainability Through Utility-Scale BESS: Flexibility via Time-Shifting Contracts and Arbitrage. Sustainability, 18.
    https://doi.org/10.3390/su18031404

Masood Ebrahimi | Renewable Energy Systems | Editorial Board Member

Assoc. Prof. Dr. Masood Ebrahimi | Renewable Energy Systems | Editorial Board Member

Faculty member | University of Kurdistan | Iran

Dr. Masood Ebrahimi is an Associate Professor of Mechanical Engineering at the University of Kurdistan, specializing in renewable and hybrid energy systems aimed at achieving a sustainable transition to Net Zero Emissions by 2050. His research integrates solar, wind, and hydropower technologies with fuel cells, electrolyzers, thermoelectric materials, and advanced energy management systems to produce clean power, hydrogen, desalinated water, and efficient heating/cooling solutions. He applies multi-criteria decision-making algorithms and AI-driven predictive models to optimize energy systems across technical, economic, and environmental dimensions. Dr. Ebrahimi obtained his Ph.D. in Mechanical Engineering–Energy Conversion from K. N. Toosi University of Technology, where he developed a pioneering model for solar-based combined cooling, heating, and power (CCHP) systems across diverse climatic zones, leading to publications in prestigious Q1 journals such as Energy, Energy and Buildings, and the Journal of Cleaner Production, along with an Elsevier book titled Combined Cooling Heating and Power: Decision-Making, Design, and Optimization. With extensive academic and professional experience, he has made significant contributions to sustainable energy development, AI-based energy optimization, and industry-academia collaborations, serving in key leadership roles including Director of the Mechanical Engineering Department, Founder of the Energy Systems Laboratory, and member of several national technical and green management committees. His international collaboration with Dublin City University (Ireland) on the Life Cycle Assessment and Carbon Footprint of Bitcoin Mining using Trigeneration Systems advances the understanding of environmental impacts in emerging technologies. Dr. Ebrahimi’s prolific academic output encompasses numerous peer-reviewed journal articles, books, and conference papers, emphasizing practical and policy-oriented solutions for global clean energy transitions. His academic excellence and research influence are reflected in his growing recognition, with 1,053 citations, 33 publications, and an h-index of 16, underscoring his impactful contributions to renewable energy systems and sustainable technological innovation.

Featured Publications

1. Ebrahimi, M., & Moradpoor, I. (2016). Combined solid oxide fuel cell, micro-gas turbine and organic Rankine cycle for power generation (SOFC–MGT–ORC). Energy Conversion and Management, 116, 120–133. Cited by: 186

2. Ebrahimi, M., & Keshavarz, A. (2014). Combined cooling, heating and power: Decision-making, design and optimization. Elsevier.
Cited by: 160

3. Ebrahimi, M., & Keshavarz, A. (2013). Sizing the prime mover of a residential micro-combined cooling, heating and power (CCHP) system by multi-criteria sizing method for different climates. Energy, 54, 291–301. Cited by: 147

4. Ebrahimi, M., Keshavarz, A., & Jamali, A. (2012). Energy and exergy analyses of a micro-steam CCHP cycle for a residential building. Energy and Buildings, 45, 202–210. Cited by: 122

5. Ebrahimi, M., & Derakhshan, E. (2018). Design and evaluation of a micro combined cooling, heating, and power system based on polymer exchange membrane fuel cell and thermoelectric cooler. Energy Conversion and Management, 171, 507–517. Cited by: 84

Dr. Masood Ebrahimi’s pioneering research in renewable and hybrid energy systems advances sustainable technologies that drive the global transition toward Net Zero Emissions. His innovative integration of AI, fuel cells, and solar-driven CCHP systems supports cleaner industries, energy efficiency, and a more resilient low-carbon future for society.