MESSAGE stands at the core of ENE’s modeling framework. It provides a flexible framework for the comprehensive assessment of major energy challenges and has been applied extensively for the development of energy scenarios and the identification of socioeconomic and technological response strategies to these challenges.
The modeling framework and the results provide core inputs for major international assessments and scenarios studies, such as the Intergovernmental Panel of Climate Change (IPCC), the World Energy Council (WEC), the German Advisory Council on Global Change (WBGU), the European Commission, and most recently the Global Energy Assessment (GEA).
Scenario analysis with MESSAGE is used in two major areas: 1) description of future uncertainties, and 2) the development of robust technology strategies and related investment portfolios to meet a range of user-specified policy objectives. Typical scenario outputs provide information on the utilization of domestic resources, energy imports, and exports and trade-related monetary flows, investment requirements, the types of production or conversion technologies selected (technology substitution), pollutant emissions (traditional indoor and outdoor air pollutants as well as greenhouse gases), and inter-fuel substitution processes, as well as temporal trajectories for primary, secondary, final, and useful energy. MESSAGE is also increasingly used for detailed analysis of energy demand issue, such as for policy analysis of energy access in the residential sector.To address major global challenges in a holistic way, integration of sectoral models is a key issue. Traditionally separated tools for energy supply, demand and end-use analysis, as well as “top down” and “bottom up” analytical representations, have increasingly been either formally integrated or linked with MESSAGE in an ensemble model integration to assess important interrelations and feedbacks.
MESSAGE is used in conjunction with MAGICC (Model for Greenhouse gas Induced Climate Change) for calculating internally consistent (probabilistic) scenarios for climate change. Through linkages with the MACRO model economic feedbacks on energy demand are assessed, and further linkages with the GLOBIOM (agricultural) model allows the assessment of land, forest, and water implications of energy systems. An explicit linkage to the GAINS air pollution framework allows the assessment of health impacts of energy systems.
Last edited: 19 July 2013
MESSAGE is not available for download, but many sets of results are.
Science and Policy Impacts
International Institute for Applied Systems Analysis (IIASA)
Schlossplatz 1, A-2361 Laxenburg, Austria
Phone: (+43 2236) 807 0 Fax:(+43 2236) 71 313