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Elsevier

The PyPSA Handbook

Integrated Power System Analysis and Renewable Energy Modeling

  • 1 Edición - 3 de diciembre de 2025
  • Última edición
  • Autores: Neeraj Dhanraj Bokde, Carlo Fanara
  • Idioma: Inglés

The PyPSA Handbook: Integrated Power System Analysis and Renewable Energy Modeling is a comprehensive guide to the landmark open-source platform for modeling modern energy system… Leer más

Descripción

The PyPSA Handbook: Integrated Power System Analysis and Renewable Energy Modeling is a comprehensive guide to the landmark open-source platform for modeling modern energy systems. Starting from core concepts in energy system analysis, the book builds a clear theoretical foundation before progressing to advanced topics such as renewable integration, storage, grid expansion, system stability, and future developments. Designed for both newcomers and experienced users, it features layered examples, hands-on exercises, and real-world case studies. This book is an indispensable resource for students, researchers, and energy professionals.

Puntos claves

  • Progresses from foundational principles to advanced modeling techniques
  • Includes real-world case studies, exercises, and ready-to-run PyPSA code
  • Presents open-source energy modelling in accessible, practical, and reproducible manner

De interès para

Academics, upper-level undergraduate and graduate students, professionals, and researchers working in energy systems and power systems analysis

Índice

1. Introduction to Power Systems and PyPSA

2. Getting Started with PyPSA

3. Modeling Components in PyPSA

4. Advanced Modeling Techniques

5. Decarbonization and Renewable Integration

6. Microgrids and Distributed Energy Resources (DERs)

7. Transmission Planning and Expansion

8. Reliability and Resilience

9. Integrating PyPSA with Other Tools

10. Future Trends and Challenges

Detalles del producto

  • Edición: 1
  • Última edición
  • Publicado: 19 de diciembre de 2025
  • Idioma: Inglés

Sobre los autores

NB

Neeraj Dhanraj Bokde

Dr. Neeraj Dhanraj Bokde is a Lead Researcher at the Technology Innovation Institute (TII), Abu Dhabi, with over 12 years of interdisciplinary experience in renewable energy, data science, and AI. He has held academic positions at Aarhus University in Denmark and contributed to applied research at DEWA and VNIT Nagpur. Dr. Bokde develops open-source tools in R and Python for data analysis, forecasting, and optimization. His work supports the energy transition through transparent modeling, advanced analytics, and integrated planning strategies. He has published extensively in the fields of energy modeling, renewable integration, and data-driven decision support.

Afiliaciones y experiencia
Lead Researcher, Renewable and Sustainable Energy Research Center, Technology Innovation Institute, Abu Dhabi, UAE

CF

Carlo Fanara

Dr. Carlo Fanara is Executive Director of the Energy Modelling team at the Technology Innovation Institute (TII), Abu Dhabi. He has extensive experience spanning nuclear and plasma physics, materials science, and machine learning, and has held academic and industrial roles across Europe. He holds a Ph.D. in plasma physics and has led research in energy beams, diagnostics systems, and data-driven modeling. His current work focuses on advancing energy systems analysis through high-performance computing, algorithm design, and applied data science. He is member of the IEEE Nuclear and Plasma Physics division and ordinary member of the ACM.

Afiliaciones y experiencia
Executive Director of the Energy Modelling team at the Technology Innovation Institute (TII), Abu Dhabi.

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