|
|
| (6 intermediate revisions by 3 users not shown) |
| Line 4: |
Line 4: |
| | 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. |
| | | | |
| − | 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). |
| | | | |
| | <br/> | | <br/> |
| Line 20: |
Line 20: |
| | Distributed by sector (Industry, Transport, Residential, Services). | | Distributed by sector (Industry, Transport, Residential, Services). |
| | | | |
| − | Q: Is it safe to assume that non-electric residential and service energy consumption is for low-T heating? | + | Q: Is there any non-electric residential and service energy consumption other than low-T heating and cooking with natural gas? |
| | | | |
| | <br/> | | <br/> |
| | | | |
| − | == Odyssee-Mure database == | + | == Odyssee-Mure database yearly energy data for Europe == |
| | | | |
| | [http://www.odyssee-mure.eu/ http://www.odyssee-mure.eu/] | | [http://www.odyssee-mure.eu/ http://www.odyssee-mure.eu/] |
| Line 32: |
Line 32: |
| | <br/> | | <br/> |
| | | | |
| − | == BMWi energy statistics for Germany == | + | |
| | + | == BMWi yearly energy statistics for Germany == |
| | | | |
| | [http://bmwi.de/DE/Themen/Energie/Energiedaten-und-analysen/Energiedaten/gesamtausgabe,did=476134.html BMWi energy statistics] | | [http://bmwi.de/DE/Themen/Energie/Energiedaten-und-analysen/Energiedaten/gesamtausgabe,did=476134.html BMWi energy statistics] |
| Line 39: |
Line 40: |
| | | | |
| | <br/> | | <br/> |
| | + | |
| | + | |
| | + | == Germany: Regionalised heat demand and power-to-heat capacities (by DLR) == |
| | + | |
| | + | [[Region4FLEX|region4FLEX model]], data of first working package on zenodo: [https://doi.org/10.5281/zenodo.2650200 Regionalised heat demand and power-to-heat capacities] |
| | + | |
| | + | METADATA |
| | + | |
| | + | Sector: Residential Buildings – Space Heating and Domestic Hot Water; Geographical scope: Germany; Geographical resolution: Administrative districts (NUTS-3); Temporal scope: 2011, three scenarios for 2030; Temporal resolution: 15min, Technologies: Single-storey heating, central heating (3 size classes), district heating (Power-to-heat: heat pumps, resisitive heating) |
| | | | |
| | <br/> | | <br/> |
| | + | |
| | + | |
| | + | == Heat demand in Aarhus, Denmark == |
| | + | |
| | + | Apparently available here: |
| | + | |
| | + | http://varmeplanaarhus.dk/SitePages/Home.aspx |
| | + | |
| | + | = USA = |
| | + | |
| | + | *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). |
Latest revision as of 16:27, 20 January 2020
[edit] 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).
[edit] Europe
[edit] 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?
[edit] 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).
[edit] BMWi yearly energy statistics for Germany
BMWi energy statistics
This distinguishes between water and space heating.
[edit] Germany: Regionalised heat demand and power-to-heat capacities (by DLR)
region4FLEX model, data of first working package on zenodo: Regionalised heat demand and power-to-heat capacities
METADATA
Sector: Residential Buildings – Space Heating and Domestic Hot Water; Geographical scope: Germany; Geographical resolution: Administrative districts (NUTS-3); Temporal scope: 2011, three scenarios for 2030; Temporal resolution: 15min, Technologies: Single-storey heating, central heating (3 size classes), district heating (Power-to-heat: heat pumps, resisitive heating)
[edit] Heat demand in Aarhus, Denmark
Apparently available here:
http://varmeplanaarhus.dk/SitePages/Home.aspx
