Techno-economic optimization of large-scale deep geothermal district heating systems with long-distance heat transport. Molar-Cruz, A., Keim, M. F., Schifflechner, C., Loewer, M., Zosseder, K., Drews, M., Wieland, C., & Hamacher, T. Energy Conversion and Management, 267:115906, September, 2022. ![Techno-economic optimization of large-scale deep geothermal district heating systems with long-distance heat transport [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Geothermal energy can play an important role in decarbonizing the heating sector, however, a limiting factor is that heat demand in urban areas does not usually coincide spatially with geological settings favorable to the extraction of geothermal energy. Long-distance heat transport could enable the direct use of geothermal resources even in areas with low or no geothermal potential. This paper proposes the cost-optimal coordinated deployment of geothermal heating plants together with heat transport and distribution networks to simultaneously supply geothermal heat to multiple urban areas. To this end, a holistic approach comprising the mapping of geothermal potential for direct-use, the estimation of district heating potential, and a two-step optimization model to calculate cost-optimal large-scale geothermal district heating systems, is presented and applied to the Free State of Bavaria in Germany. As a result, heat supply costs can be reduced by 15% if fewer geothermal wells are drilled in more geologically favorable areas at greater distances from heat sinks. Calculated levelized costs of heat without local distribution networks of 33–39 €/MWh show that geothermal energy could transition from a local to a regional use if utilized in in scenarios with high full-load hours. The proposed methodology can be adapted to develop expansion strategies for deep geothermal energy in other similar regions worldwide.
@article{molar-cruz_techno-economic_2022,
title = {Techno-economic optimization of large-scale deep geothermal district heating systems with long-distance heat transport},
volume = {267},
issn = {0196-8904},
url = {https://www.sciencedirect.com/science/article/pii/S0196890422007026},
doi = {10.1016/j.enconman.2022.115906},
abstract = {Geothermal energy can play an important role in decarbonizing the heating sector, however, a limiting factor is that heat demand in urban areas does not usually coincide spatially with geological settings favorable to the extraction of geothermal energy. Long-distance heat transport could enable the direct use of geothermal resources even in areas with low or no geothermal potential. This paper proposes the cost-optimal coordinated deployment of geothermal heating plants together with heat transport and distribution networks to simultaneously supply geothermal heat to multiple urban areas. To this end, a holistic approach comprising the mapping of geothermal potential for direct-use, the estimation of district heating potential, and a two-step optimization model to calculate cost-optimal large-scale geothermal district heating systems, is presented and applied to the Free State of Bavaria in Germany. As a result, heat supply costs can be reduced by 15\% if fewer geothermal wells are drilled in more geologically favorable areas at greater distances from heat sinks. Calculated levelized costs of heat without local distribution networks of 33–39 €/MWh show that geothermal energy could transition from a local to a regional use if utilized in in scenarios with high full-load hours. The proposed methodology can be adapted to develop expansion strategies for deep geothermal energy in other similar regions worldwide.},
language = {en},
urldate = {2022-12-15},
journal = {Energy Conversion and Management},
author = {Molar-Cruz, Anahi and Keim, Maximilian F. and Schifflechner, Christopher and Loewer, Markus and Zosseder, Kai and Drews, Michael and Wieland, Christoph and Hamacher, Thomas},
month = sep,
year = {2022},
keywords = {Deep geothermal energy, District heating system, Heat transport network, Levelized cost of heat, Regional energy planning, Techno-economic optimization},
pages = {115906},
}
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