The Energy Technology Systems Analysis Program (ETSAP) is the longest running Technology Collaboration Programme of the International Energy Agency (IEA). ETSAP currently has as contracting parties 20 countries, the European Commission and two private sector sponsors.
Why choose TIMES
The IEA-ETSAP methodology (the TIMES energy system model) offers elegant solutions for compilation of long term energy scenarios and in-depth national, multi-country, and global energy and environmental analyses. It can assist in the design of least-cost pathways for sustainable energy systems, and is ideally suited for the preparation of Low-Emissions Development Strategies (LEDS) and Intended Nationally Determined Contributions (INDC) and Nationally Determined Contributions (NDC) roadmaps.
How to learn to use the IEA-ETSAP methodology
IEA-ETSAP provides training and workshops for new users to learn to use the IEA-ETSAP methodology. There is also a vibrant and supportive IEA-ETSAP community that will help you get the most from using the IEA-ETSAP methodology.
The IEA-ETSAP community leads a major initiative for open source solutions for energy scenario modeling needs.
You can register, execute the IEA-ETSAP LoA and tell us about your requirement to get free 60-day evaluation versions of IEA-ETSAP model generators and the third-party software applications that are needed to use them.
ETSAP Workshop (10-11 July) and training course (12-14 July) venue:
College Park Marriott Hotel & Conference Center,
3501 University Blvd East, Hyattsville, MD, 20783,
Phone: (301) 985-7300.
Practical information on venue and logistics here.
ETSAP established the Tosato Grant in honour of Giancarlo Tosato (Operating Agent and Project Head for more than ten years). The grant will start in 2017 and will provide financial support for trainees to attend ETSAP’s training courses and the ETSAP workshop. Registration is available here.
The 36th edition of the International Energy Workshop (IEW) will be hosted by the Joint Global Change Research Institute of Pacific Northwest National Laboratory and University of Maryland, in College Park, Maryland, USA on July 12-14, 2017. More information available here.
The IEA-ETSAP methodology delivers detailed global energy scenarios
Reliability through detailed analysis
You can analyze scenarios for thousands of technologies. In your region of interest & over time periods that matter to you. And the best part is you can know to great detail how the analysis is done.
The power of the IEA-ETSAP methodology helps you manage uncertainties confidently. Find answers to questions such as: When is wait and see better than hedging? And how does it compare with classical analysis?
Applications based on the IEA-ETSAP methodology are thorough and reliable
The IEA-ETSAP community is keenly aware of this and therefore the IEA-ETSAP methodology makes it possible for the assumptions to be known in fine detail and the output data to be visualized by well evolved means that make it easy to understand for people who are not researchers themselves.
Though the IEA-ETSAP methodology has the feature that the process can also be understood in great depth by non-technical persons its capabilities are not restricted by it. It can do very fine analysis say for example to compare two scenarios that have only subtle differences.
The IEA-ETSAP methodology uses effective & efficient tools that help you work with large volumes of data
The elegant power of the tools is enjoyed by a large number of leading researchers.
You can know how the tools work to a great extent. That makes thorough verification possible and enhances credibility of the research.
The IEA-ETSAP Tools give the methodology an edge
The tools that help researchers implement the IEA-ETSAP methodology are key to its widespread success. The tools help in achieving the twin and potentially conflicting objectives of enabling fine detailing while maintaining high levels of transparency.
This challenging objective is worthwhile to achieve because the IEA-ETSAP methodology is often applied to issues that are critical for the future of our planet. For example for energy production, green house gas emitting technologies and nuclear technologies both have their advantages and disadvantages. Striking the right balance is very important. This can only be done when the tools are capable to working with different scenarios with equal ease.
The efficiency of the tools makes it possible to mitigate the effect of the inherent uncertainties involved. The efficiency of compiling the input data, processing it and interpreting the results makes it possible to relatively quickly evaluate a wide range of scenarios to provide for the uncertainties involved. This makes a confident final decision possible because the effect of uncertainty has been taken into account.
IEA-ETSAP methodology is explicitly designed for long-term energy-environment modeling in the context of climate change. It has a long history of usage so tools have got perfected over the years. The community is large, so tool development has been driven by various types of researchers. The IEA-ETSAP methodology utilizes very flexible tools which can be used in diverse areas.
The IEA-ETSAP methodology enables building scenarios around a large number of energy supply & demand technologies
A deep understanding of both existing and emerging energy technologies. You can use consistent data sets for supply and demand technologies.
Are you interested in technical and economic details of (almost 50) energy supply and demand technologies?
Please visit our Technology Data page
The IEA-ETSAP methodology embraces past present & emerging technologies
Understanding and assigning parameters to the various past, existing and emerging technologies can be a big challenge for a person doing energy scenario modeling. A great strength of the IEA-ETSAP methodology is that these technologies have already been well understood and defined in detail. This is in terms of key parameters that are of consequence while doing a research.
This does away with the need to start from scratch while undertaking a study using the IEA-ETSAP methodology. Studies can therefore have lower costs and shorter durations. The details of each technology are available in an open source format so if for a study some parameters need to be changed that is possible as well. This allows the researcher all the flexibility required while maintaining very high levels of convenience.
New technologies are added regularly to the set of technologies and researchers can work on scenarios that involve taking into account recent technological developments.
Learning to use the IEA-ETSAP methodology is easy thanks to the excellent training options
The IEA-ETSAP methodology will swiftly take you to the frontiers of cutting edge research in your area of interest.
Get formal and informal support from a large vibrant community.
IEA-ETSAP Methodology Training Worldwide
ETSAP offers training courses on building TIMES energy models with the VEDA or ANSWER users' interfaces.
The base training course is offered twice a year next to ETSAP Workshop (dates and location depends from the ETSAP workshop). In the Base level course (3 days) the trainees learn to build a simple TIMES model, to run scenarios and to read the technical economic results.
Each course is free of charge for ETSAP Contracting Parties.
Participants of companies, institutions & universities pay €1200, €1000 & €750 per person per course. Payment is only possible through bank transfer.
IEA-ETSAP meets twice a year & invites local experts to these meetings
Madrid Workshop Highlights
- SINERGIA: Analytical framework for the definition of medium and long term energy policies in Spain
- Modelling the demand in Spain with Med-Pro
- Times Spain: an analytical tool for energy policy assessment in Spain
- Climate policy Engagement in Brazil: how delayed action might lead to CCS as the last resort to mitigation
- Incorporating Homeowners’ Preferences for Heating Systems in the UK TIMES with Heterogeneous Households
- Model archaeology
- Analysis of the role of energy storages in Germany with TIMES PanEU – methodology and results
- Analysis of the role of energy storages in Belgium and Netherlands with TIMES
- World Energy Scenarios 2016 (preliminary)
- Development of the bioenergy supply chain in TIAM-FR
IEA-ETSAP Model Generators Documentation
The IEA-ETSAP methodology is transparent, well documented and respected in scientific literature
A commitment to the highest levels of transparency. The IEA-ETSAP methodology and applications based on it are well documented.
Innovation spreads faster when it is documented well. The vibrant IEA-ETSAP community is quick to spread a great new idea.
Detailed and lucid documentation enables knowledge to spread efficiently
The IEA-ETSAP methodology is greatly helped by the excellent documentation that is available. This documentation reveals the real world issues that being addressed using the IEA-ETSAP methodology and not just the technical details of the research. This makes the documentation very useful for policy makers who will have the opportunity to review how similar research has been done in the past.
It may also be possible to compare two different approaches to a problem by reviewing the documentation of the past studies. And if an approach has worked well in one part of the world the excellent and reliable documentation makes it possible to use the approach in other parts of the world by making the required changes.
The IEA-ETSAP methodology's capabilities are regularly updated
Outcomes Of The Projects
Integrating policy instruments into the TIMES Model
- Theoretical background on the modelling of policy instruments in energy system models
- The explicit modelling of support systems for renewable electricity in TIMES
- The representation of emission trading schemes in national energy system models
- The Modelling of regulatory instruments and financial incentive measures in the buildings sector
- Application: Scenario analysis with the TIMES-D model
- Best Practice Examples
- The IEA-ETSAP methodology will be able to deliver better global energy modeling scenarios
- The TIMES model is being enhanced to handle intermittent sources of electricity, like wind and solar
- Heat and electricity storage mechanisms are being developed further
- The IEA-ETSAP methodology allows explicit;treatment of uncertainty using stochastic programming
- Several groups are working on linking TIMES with macroeconomic models