This course provides an introduction to long-term energy system planning and hands-on experience with the open-source TEMOA (Tools for Energy Model Optimization and Analysis) framework. Participants will learn the motivations behind energy system planning, explore how to build and run simple model instances, perform deterministic scenario analyses, and apply the Modeling to Generate Alternatives (MGA) methodology to explore near-optimal solutions The course will also present advanced applications of TEMOA through the Open Energy Outlook (OEO) project for the United States and demonstrate the use of stochastic optimization to assess system resilience under extreme events. By the end of the course, participants will have both conceptual understanding and practical modeling skills, enabling them to use TEMOA for research and policy-relevant analyses.

A background on the fundamentals of all major energy technologies (oil, coal, gas, renewables, nuclear, etc.) is taken for granted.

Guests Lectures: Laura Savoldi (Politecnico di Torino) Full professor in nuclear power plants. Her energy systems modeling work focuses on the integration of energy system optimization and policy assessment to support the energy transition in Europe. Michel Noussan (Politecnico di Torino) Assistant professor focusing on energy systems, decarbonization pathways, and sustainable mobility. He regularly contributes to international energy transition assessments and scenario studies. Valeria Di Cosmo (Università di Torino) Associate professor specializing in energy and environmental policy. Her research includes electricity market design, renewable integration, and quantitative policy analysis using econometric and modeling tools. Joe DeCarolis (Carnegie Mellon University) Full professor, founder and lead developer of the TEMOA framework, former Administrator of the US Energy Information Administration. His research focuses on energy system modeling and policy analysis. He leads the Open Energy Outlook project, which applies TEMOA to explore US energy futures. Anderson Rodrigo de Queiroz (North Carolina State University) Associate professor expert in operations research and energy systems optimization. His research includes stochastic and robust optimization, resilience assessment, and planning under uncertainty in energy systems. Day 1 – Motivations and Introduction to Long-Term Energy System Planning - The role of energy system planning in supporting decarbonization pathways - Overview of modeling approaches and their policy relevance - Energy markets and behavioral aspects - Introduction to the TEMOA framework: philosophy, structure, and capabilities - First steps with TEMOA: model setup and data structure Instructors: Laura Savoldi, Michel Noussan, Valeria Di Cosmo Day 2 – Deterministic Scenario Analysis with TEMOA - Building and modifying simple model instances - Defining reference and policy scenarios - Running deterministic optimizations - Hands-on session: creating and analyzing scenarios with deterministic optimization Instructor: Anderson Rodrigo de Queiroz Day 3 – Modeling to Generate Alternatives (MGA) - Introduction to near-optimal solution exploration - Theoretical background: MGA and its role in uncertainty analysis - Implementation of MGA in TEMOA - Hands-on session: generating and interpreting near-optimal alternatives Instructor: Anderson Rodrigo de Queiroz Day 4 – Advanced TEMOA Applications: Open Energy Outlook and Stochastic Optimization - The Open Energy Outlook: structure, results, and policy insights - Case studies on U.S. energy system pathways - Introduction to stochastic optimization with TEMOA - Modeling extreme events and assessing energy system resilience Instructors: Joe DeCarolis, Anderson Rodrigo de Queiroz

In presenza

Presentazione report scritto - Prova di laboratorio di natura pratica sperimentale o informatico

P.D.2-2 - Giugno