معرفی
Pedro Ciller Cutillas is a Lecturer at the Institute for Research in Technology (IIT), School of Engineering, Comillas Pontifical University, Madrid, Spain. His work is centered on rural electrification, distribution networks, and optimization-based planning tools for energy access in developing regions. He is actively involved in international energy planning projects and research.
- Industrial Engineering, Pontifical University of Comillas (2012)
- Mathematics, Complutense University of Madrid (2014)
- Ph.D. in Engineering, Pontifical University of Comillas (2021)
Dr. Ciller's research focuses on rural electrification, energy access planning, and optimization modeling. His work integrates geospatial analysis, techno-economic modeling, and decentralized energy systems, with a strong emphasis on solving real-world energy challenges in underserved areas. He is a key contributor to the Reference Electrification Model (REM), a decision-support tool for least-cost electrification planning.
His recent publications reflect a consistent trend in energy access modeling, mini-grid optimization, and integrated electrification planning. These works combine computational intelligence, energy policy, and sustainable development to address global energy poverty. His research is published in high-impact journals such as Renewable & Sustainable Energy Reviews, Energies, and Proceedings of the IEEE.
Scientific awards include:
- Honorary Distinction for the best Doctoral Thesis in Engineering, Comillas Pontifical University (2022)
- Recognition in national and international mathematics olympiads, including the International Mathematics Competition (IMC)
Dr. Ciller has contributed to over 20 international consultancy projects funded by the World Bank, Inter-American Development Bank, MIT, International Energy Agency, and Shell Foundation. These projects involve national electrification strategies, geospatial planning, and mini-grid deployment in countries such as Rwanda, Uganda, Indonesia, and Paraguay. He collaborates with interdisciplinary teams and leads technical modeling components. His future work continues to advance tools for equitable and sustainable energy access.
He is affiliated with research teams focused on energy systems modeling, smart grids, and decentralized energy solutions at IIT. His lab work involves synthetic grid modeling (e.g., Smart-DS project) and the development of decision-support platforms for energy planners.
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