Thermal demand - Revision history

Wilko Heitkoetter: /* Regionalised heat demand and power-to-heat capacities for Germany (by DLR) */

2020-01-20T16:27:04Z

‎Regionalised heat demand and power-to-heat capacities for Germany (by DLR)

Wilko Heitkoetter: /* BMWi yearly energy statistics for Germany */

2020-01-20T16:25:37Z

‎BMWi yearly energy statistics for Germany

Tom Brown: Tom Brown moved page Heating demand to Thermal demand: Thermal includes heating and cooling

2016-10-28T10:32:12Z

Tom Brown moved page Heating demand to Thermal demand: Thermal includes heating and cooling

Tom Brown at 15:32, 14 September 2016

2016-09-14T15:32:10Z

Tom Brown at 14:01, 31 August 2016

2016-08-31T14:01:27Z

Johannes Dorfner at 13:26, 24 August 2016

2016-08-24T13:26:19Z

Tom Brown at 12:55, 24 August 2016

2016-08-24T12:55:30Z

Tom Brown at 12:54, 24 August 2016

2016-08-24T12:54:58Z

Tom Brown at 12:54, 24 August 2016

2016-08-24T12:54:16Z

Tom Brown: Created page with " = 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 s..."

2016-08-24T12:50:42Z

Created page with " = 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 s..."

New page

= 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 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).

= 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 it safe to assume that non-electric residential and service energy consumption is for low-T heating?

== Odyssee ==

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 energy statistics for Germany ==

http://www.bmwi.de/BMWi/Redaktion/Binaer/energie-daten-gesamt,property=blob,ber\
eich=bmwi2012,sprache=de,rwb=true.xls

This distinguishes between water and space heating.

<br/>

@@ Line 41: / Line 41: @@
 <br/>
-== Regionalised heat demand and power-to-heat capacities for Germany (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]

@@ Line 31: / Line 31: @@
 <br/>
 == BMWi yearly energy statistics for Germany ==
@@ Line 39: / Line 40: @@
 <br/>
 == Heat demand in Aarhus, Denmark ==

@@ 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.
-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/>
@@ Line 39: / Line 39: @@
 <br/>
 = 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).

@@ Line 1: / Line 1: @@
 = Introduction =
@@ Line 19: / Line 20: @@
 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/>
@@ Line 41: / Line 42: @@
 = 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).
+*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).

@@ Line 1: / Line 1: @@
 = Introduction =
@@ Line 40: / Line 39: @@
 <br/>
-<br/>
+= USA =

@@ Line 24: / Line 24: @@
 <br/>
-== Odyssee-Mure database ==
+== Odyssee-Mure database yearly energy data for Europe ==
 [http://www.odyssee-mure.eu/ http://www.odyssee-mure.eu/]
@@ Line 32: / Line 32: @@
 <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]

@@ Line 2: / Line 2: @@
 = Introduction =
-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 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).
 = Europe =
@@ Line 12: / Line 12: @@
 == Eurostat yearly energy consumption ==
-http://ec.europa.eu/eurostat/web/energy/data/energy-balances
+[http://ec.europa.eu/eurostat/web/energy/data/energy-balances http://ec.europa.eu/eurostat/web/energy/data/energy-balances]
 For years 1990, 1995, 2000, 2005, 2008-2014
@@ Line 22: / Line 22: @@
 Q: Is it safe to assume that non-electric residential and service energy consumption is for low-T heating?
+<br/>
 == Odyssee ==
-http://www.odyssee-mure.eu/
+[http://www.odyssee-mure.eu/ 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 energy statistics for Germany ==
-http://www.bmwi.de/BMWi/Redaktion/Binaer/energie-daten-gesamt,property=blob,ber\
+[http://bmwi.de/DE/Themen/Energie/Energiedaten-und-analysen/Energiedaten/gesamtausgabe,did=476134.html BMWi energy statistics]
-eich=bmwi2012,sprache=de,rwb=true.xls
 This distinguishes between water and space heating.
+<br/>
 <br/>