FORECAST/eLOAD
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07.08.2020 Industrial excess heat for district heating: Database shows great potential for supplying households
Excess heat from energy-intensive industries is often suitable for use in district heating systems but is usually unutilized. A detailed overview of the potentials available in the EU is now provided by a database of the sEEnergies project. In Germany, 29 petajoules of excess heat from industrial sites could be used, which corresponds to the demand of more than half a million households. The information is available as maps and downloadable datasets.
News
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07.08.2020 Industrial excess heat for district heating: Database shows great potential for supplying households
Excess heat from energy-intensive industries is often suitable for use in district heating systems but is usually unutilized. A detailed overview of the potentials available in the EU is now provided by a database of the sEEnergies project. In Germany, 29 petajoules of excess heat from industrial sites could be used, which corresponds to the demand of more than half a million households. The information is available as maps and downloadable datasets.
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07.08.2020 Final conference of the H2020 Hotmaps project presents an open data toolbox
“Heating and cooling planning for greener cities: local resources first” was the topic of the final conference of the Hotmaps project. The event took place entirely online and included different plenary and parallel sessions. Around 70 people remained online all the time.
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08.07.2020 FORECAST applied to countries in transition: A case study of Brazil by region
Together with modelers from the Pontifical Catholic University of Rio de Janeiro, the FORECAST modeling team analyzed the long-term impact of energy efficiency policies on electricity consumption in Brazil’s residential sector.
Welcome
The model system FORECAST/eLOAD has been developed by the Fraunhofer Institute for Systems- und Innovation Research, TEP Energy GmbH and IREES GmbH. It addresses various research questions related to the dynamics of energy demand.
FORECAST has been applied to a number of research projects analyzing different aspects of the future development of energy demand. This includes the impact of policy-measures, technology dynamics, prices and other socio-economic factors on energy demand and greenhouse gas emissions until 2030 or 2050.
ELOAD allows disaggregating the annual electricity demand of a country into hourly load curves and simulates the impact of demand side management options on the load curve. The model has typically been used in combination with FORECAST, but can also be applied separately.
We provide customized
studies of future energy demand trends for countries and regions using the
tried and tested models FORECAST and eLOAD based on calibrated databases. Our factsheets give a few examples of the types of research service
offered
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