GIS-based modelling of shallow geothermal energy potential for CO2 emission mitigation in urban areas
| Autor: | Kerry Schiel, Olivier Baume, Geoffrey Caruso, Ulrich Leopold |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
education.field_of_study
Renewable Energy Sustainability and the Environment business.industry 020209 energy Geothermal energy Fossil fuel Population Environmental engineering Borehole 02 engineering and technology Renewable energy Energy development Smart city Sustainability 0202 electrical engineering electronic engineering information engineering Environmental science business education |
| Zdroj: | Renewable Energy. 86:1023-1036 |
| ISSN: | 0960-1481 |
| DOI: | 10.1016/j.renene.2015.09.017 |
| Popis: | Due to the rapidly increasing percentage of the population living in urban centres, there is a need to focus on the energy demand of these cities and the use of renewable energies instead of fossil fuels. In this paper, we develop a spatial model to determine the potential per parcel for using shallow geothermal energy, for space heating and hot water. The method is based on the space heating and hot water energy demand of each building and the specific heat extraction potential of the subsurface per parcel. With this information, along with the available space per parcel for boreholes, the percentage of the energy demand that could be supplied by geothermal energy is calculated. The potential reduction in CO2 emissions should all possible geothermal energy be utilised, is also calculated. The method is applied to Ludwigsburg, Germany. It was found that CO2 emissions could potentially be reduced by 29.7% if all space heating and hot water requirements were provided by geothermal energy, which would contribute to the sustainability of a city. The method is simple in execution and could be applied to other cities as the data used should be readily available. Another advantage is the implementation into the web based Smart City Energy platform which allows interactive exploration of solutions across the city. |
| Databáze: | OpenAIRE |
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