Geo-dependent heat demand model of the Swiss building stock

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Proceedings Chapter

Reference

Geo-dependent heat demand model of the Swiss building stock

SCHNEIDER, Stefan, et al.

Abstract

One of the strategies for decarbonizing the energy mix is to increase the use of district heat networks, for distribution of waste heat or heat produced by renewable energy sources.

However, planning such networks needs a geo-dependent energy database concerning demand and supply, incorporating their dependency on space and time. The present paper concerns the development of a bottom up statistical extrapolation model for estimating the heat demand of the Swiss building stock. The database is constructed on top of the Swiss building register, which contains basic data on building category, age, ground area and number of floors, as well as area devoted to dwellings. The model itself concerns: (i) estimation of the heated area of each building; (ii) estimation of the heat demand of each building, with disaggregation in terms of space heating (SH) and domestic hot water (DHW).

The model is calibrated by way of recorded data concerning actual yearly energy consumption of around 27'000 buildings, with a classification by building category and age. The disaggregation in terms of SH and DHW allows for climatic correction of the [...]

SCHNEIDER, Stefan, et al . Geo-dependent heat demand model of the Swiss building stock. In:

World Fustainable Built Environment Conference 2017, Conference Proceedings (WSBE17) . Hong Kong : Construction Industry Council, Hong Kong Green Building Council Limited, 2017. p. 1166-1172

Available at:

http://archive-ouverte.unige.ch/unige:84240

Disclaimer: layout of this document may differ from the published version.

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