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.
In a recently published Communication the European Commission proposes an EU heating and cooling strategy that aims to reduce the high share of fossil fuels which makes up about 75% of primary energy demand in the European heating and cooling sector.
Together with a team from the Catholique University of Rio de Janeiro, we used the FORECAST and eLOAD models to assess the future evolution of electricity demand in Brazil up to the year 2050. After two years of data collection, model calibration and training, the one-week workshop marked a major milestone: designing scenarios for the residential, services and industry sectors in Brazil.
The 5th and 6th of November, the annual FORECAST – eLOAD workshop has taken place in Beuggen, Germany. The main focus of the two days retreat was with model development and strategy planning.
In the study "Medium-term forecast of electricity supplied to final consumers in Germany in the calendar years 2016 to 2020" the Fraunhofer ISI determined the final consumption for 2016 across which the cost of refinancing renewable energies will be split in Germany.
The eLOAD model was recently used to assess the evolution of hourly load curves in Germany and Great Britain until the year 2050. The same exercise was performed by the DESSTinEE model to benchmark the results from eLOAD. Both models come to very similar conclusions.
ProgRESsHEAT aims at assisting local, regional, national and EU political leaders in developing policy and strategies to ensure a quick and efficient deployment of renewable energies in the heating and cooling sector.
The eLOAD model uses end-use-specific hourly load profiles to perform long-term load forecasts. A recent research paper demonstrates how such end-use-specific load profiles can be generated using load data records from smart meter surveys.
A recently published paper describes the extension of the FORECAST model to enable a scenario analysis of spatially distributed electricity demand in Germany for the industry, tertiary, residential and transport sectors until 2035.
In a recently published study the FORECAST model was used to assess energy-efficiency potentials in the industrial, tertiary and residential sectors until 2020 and 2030.