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| | Heating demand is broadly divided into low-temperature demand for space and water heating, and high-temperature demand for process heat in industry. | | Heating demand is broadly divided into low-temperature demand for space and water heating, and high-temperature demand for process heat in industry. |
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| − | Time series of low-temperature heating demand can be approximated by the degree-day assumption, which assumes that heating demand increases linearly with temperature below some threshold (e.g. 15 degrees Celsius). This approximation neglects consumer behaviour (e.g. consumers may turn down their heating at night). | + | Time series of low-temperature heating demand can be approximated by the degree-day assumption, which assumes that heating demand increases linearly with temperature below some threshold (e.g. 15 degrees Celsius). Temperature is averaged over a day, then multiplied with an intraday profile that reflects consumer behaviour (e.g. consumers may turn down their heating at night). |
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| | + | == Heat demand in Aarhus, Denmark == |
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| | + | Apparently available here: |
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| | + | http://varmeplanaarhus.dk/SitePages/Home.aspx |
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| | = USA = | | = USA = |
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| | *The dataset [http://en.openei.org/datasets/dataset/commercial-and-residential-hourly-load-profiles-for-all-tmy3-locations-in-the-united-states Commercial and Residential Hourly Load Profiles for all TMY3 Locations in the United States] on [http://en.openei.org/ OpenEI] contains hourly load profiles (for both electricity and heat) for synthetic reference buildings, modelled at over 1000 different locations (i.e. the TMY3 weather stations). | | *The dataset [http://en.openei.org/datasets/dataset/commercial-and-residential-hourly-load-profiles-for-all-tmy3-locations-in-the-united-states Commercial and Residential Hourly Load Profiles for all TMY3 Locations in the United States] on [http://en.openei.org/ OpenEI] contains hourly load profiles (for both electricity and heat) for synthetic reference buildings, modelled at over 1000 different locations (i.e. the TMY3 weather stations). |
Revision as of 15:32, 14 September 2016
Introduction
Heating demand is broadly divided into low-temperature demand for space and water heating, and high-temperature demand for process heat in industry.
Time series of low-temperature heating demand can be approximated by the degree-day assumption, which assumes that heating demand increases linearly with temperature below some threshold (e.g. 15 degrees Celsius). Temperature is averaged over a day, then multiplied with an intraday profile that reflects consumer behaviour (e.g. consumers may turn down their heating at night).
Europe
Eurostat yearly energy consumption
http://ec.europa.eu/eurostat/web/energy/data/energy-balances
For years 1990, 1995, 2000, 2005, 2008-2014
Covers energy usage in EU, Balkans, Norway, Ukraine, Turkey, but NOT Switzerland.
Distributed by sector (Industry, Transport, Residential, Services).
Q: Is there any non-electric residential and service energy consumption other than low-T heating and cooking with natural gas?
Odyssee-Mure database yearly energy data for Europe
http://www.odyssee-mure.eu/
This distinguishes between water and space heating by sector (Residential/Tertiary/Industry), but is incomplete (missing countries and years).
BMWi yearly energy statistics for Germany
BMWi energy statistics
This distinguishes between water and space heating.
Heat demand in Aarhus, Denmark
Apparently available here:
http://varmeplanaarhus.dk/SitePages/Home.aspx
USA
