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.
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.
combines half-hourly load records with survey data from 4,200 households
participating in a representative smart meter project in Ireland to
econometrically estimate end-use-specific load profiles, controlling for
demographic and building characteristics. For each of nine “typical days”,
representing combinations of different seasons and days of the week, we
estimate 48 reduced form electricity demand equations. It was found that
distinguishing load profiles between workdays and weekends proved essential, in
particular for electric stoves, dishwashers and TVs. We calculated
that the generated load profiles not only prove useful for long-term load
projections, but also for a holistic understanding of the current system load
curve. We were able to explain up to 40 % of the total system load by calibrating
our estimated load profiles for five household end-uses with the actual load
curve of Ireland in 2011. Our estimates indicate that lighting and electric
heating account for about one third of the winter evening peak load in the
Irish power system, but that these load profiles vary substantially between
seasons. Based on
our assessment, we conclude that energy efficiency policies should focus on
lighting and thermal insulation in order to reduce the Irish system load peak.
We find that energy-efficient lighting and a widespread technology switch from
electric heating to heat pumps could reduce the winter evening peak load by 17
%. Finally, policies promoting load shifting should address electric heating
before targeting other end uses like driers or dishwashers. The paper
was presented at the 2015 eceee summer study.
Download paper here: Unravelling load patterns ofresidential end-uses from smart meter data