Course content
This module explores the principles, methods and techniques employed to generate comprehensive medium to long-term energy system projections as presented in the IEA World Energy Outlook. Its objective is to familiarise course participants with the complex inputs and analysis necessary to produce plausible scenarios in order to inform policy decisions.
More specifically, the module covers:
Why is this topic important?
Energy models are being increasingly used to provide insights into how energy systems may evolve in the years ahead. The formulation of policy and strategy requires sound indications of what to expect in the long-term. It also benefits from a greater transparency of how key elements of the complex energy system influence energy demand and supply trends – macroeconomic trends, demographics, energy prices, resource availability, policy and regulatory developments, technology, etc. –. Understanding the analysis, scenarios and results of the acclaimed IEA World Energy Outlook (WEO) would enhance national energy planning.
IEA’s credentials – why learn from us?
Since the IEA was first established it has continued to build up its expertise in energy system and scenario modelling. For nearly two decades, the IEA has been producing medium to long term energy projections using its in-house World Energy Model (WEM). These projections underpin the IEA’s World Energy Outlook publication which has received numerous awards for analytical excellence.
Who will benefit from these modules?
This module is targeted at:
What will participants gain?
This course provides participants with a comprehensive introduction to bottom-up energy system and scenario modelling. It therefore offers a solid foundation for understanding, using and potentially developing energy models and scenarios. After attending the course, participants are able to better assess the strengths, but also shortcomings of energy models and thus interpret the results in a more informed way. In particular, users of the World Energy Outlook publication are given the opportunity to explore the means by which the projections are generated, including key assumptions and data requirements. This experience will assist their work at the national level in their home country, as well as enhance their interactions internationally.
Module structure
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Training Formats |
Module Length |
Group Size |
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1-2 days (depending on the training |
20 people |