Dochev, Ivan (2016) Computing Residential Heat Demand in Urban Space using QGIS. A Case Study for Shumen, Bulgaria. REAL CORP 2016 – SMART ME UP! How to become and how to stay a Smart City, and does this improve quality of life? Proceedings of 21st International Conference on Urban Planning, Regional Development and Information Society. pp. 179-188.
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Text (Computing Residential Heat Demand in Urban Space using QGIS. A Case Study for Shumen, Bulgaria)
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Abstract
Smart Cities need Smart Energy Planning. This requires knowledge about the spatial configuration of building heat demand, to facilitate circumspect decisions about where and how to renovate the building stock and what type of heating supply technology to implement. This paper presents a tool for static heat demand computation for residential buildings within the open-source Geographical Information System QGIS. It comes in the form of a Python script that analyses building geometries, accounting for walls shared with neighbouring buildings and computing heat demand according to the German norm DIN-4108-6. The novelty of the approach presented here, compared to standard procedures to compute urban heat demand which rely on building typologies, lies in the individualized computation for each building which allows for the inclusion of building specific characteristics not accounted for in standard building typologies.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Heat Demand, QGIS, Renovation Levels, City-Wide, Building |
| Subjects: | G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography G Geography. Anthropology. Recreation > GE Environmental Sciences Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Depositing User: | REAL CORP Administrator |
| Date Deposited: | 20 Jul 2016 08:00 |
| Last Modified: | 20 Jul 2016 08:00 |
| URI: | http://repository.corp.at/id/eprint/128 |
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