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Enerdata leverages its globally recognised expertise in energy forecasting, its in-house databases as inputs and its proprietary energy models as benchmark to develop unique, comprehensive and robust models tailored to the client’s needs.
The Enerdata custom models offer a wide range of options:
- Energy demand
- Energy demand/supply equilibrium
- Load curves
- Transport-energy evaluation
- Emissions and Marignal Abatement Cost Curves
- Top down
- Processed by Enerdata (delivery of scenarios outputs)
- Handed out to the client
Enerdata specialists have developed a unique expertise in energy modelling for 30 years, and own several proprietary prospective models of reference.
Latest references in custom model development
Proprietary & Licensed models:
- 2035 world and European energy scenarios with a focus on power generation– Leading European Utility (2009-2011 and 2012-2014)
- Development of the French official prospective energy scenarios and analysis of the impact of a nuclear phasing-out policy – French Ministries of Energy and Environment (2010 - 2011)
- 2030 Global energy scenarios with a focus on international oil and gas markets – Leading European Oil and Gas company (2009-2010)
- 2020-2030 world and European energy scenarios with a focus on power generation– Leading European Utility (2009-2012)
- Development of a forecasting model for electricity demand and load curves for 5 insular energy systems – leading European utility
- Development of a carbon markets simulation tool to support real-time assessment of burden sharing proposals in COP; production of marginal abatement cost curves by country and sector up to 2050 - Danish Energy Agency (2009, 2010 and 2011)
- Development of a set of Marginal Abatement Cost Curves (MACCs) for the UK Department of Energy and Climate Change (2007, 2009 and 2012)
- World energy forecasts scenarios by world region – World Energy Council (WEC) (2007)
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Global supply & demand forecasting model. Created by Patrick Criqui, Director at the French Research Institute LEPii, the POLES model is co-developed and used by Enerdata for projects including international forecasting issues.
Long term energy demand model, which has been implemented in more than 100 countries and regions worldwide since the mid-seventies.
This model is the latest development of the MEDEE family. It includes functionalities for projecting greenhouse gases inventories.
Development of the model with the support of ADEME, with a preliminary application to France (PREDIT research programme).
- VLEEM (Very Long Term Energy Environment Model)
Coordination of the European consortium for the design and construction of the model, design and construction of the demand module “BASES” of VLEEM.
- ITEMS (Integrated Transport Energy Environment System)
Coordination of the European consortium for the design and construction of the model, design and construction of the vehicle stock module of ITEMS, for the European Commission.
- Econometric model
Short term energy supply & demand forecasting model, based on historical time series to define future trends in A 3 years timeframe.
EU ETS emissions permits simulation model and the carbon price. It is a module of the POLES model.