AGW - Ingenieurgeologie
Kathrin Menberg

Dr. Kathrin Menberg


  • Oberflächennahe Geothermie
  • Gebäude-Energie Simulation
  • Bayesische Unsicherheitsanalyse
  • Exergieanalyse geothermischer Systeme
  • Urbane Wärmeinsel im Untergrund

Neueste Veröffentlichungen

Groundwater fauna in an urban area: natural or affected?.
Koch, F.; Menberg, K.; Schweikert, S.; Spengler, C.; Hahn, H. J.; Blum, P.
2020. Hydrology and earth system sciences discussions, 2020, 1–23. doi:10.5194/hess-2020-151
Multi-fidelity approach to Bayesian parameter estimation in subsurface heat and fluid transport models.
Menberg, K.; Bidarmaghz, A.; Gregory, A.; Choudhary, R.; Girolami, M.
2020. The science of the total environment, 745, Article: 140846. doi:10.1016/j.scitotenv.2020.140846
Groundwater temperature anomalies in Central Europe.
Tissen, C.; Benz, S. A.; Menberg, K.; Bayer, P.; Blum, P.
2019. Environmental research letters, 14, Article no: 104012. doi:10.1088/1748-9326/ab4240
Influence of error terms in Bayesian calibration of energy system models.
Menberg, K.; Heo, Y.; Choudhary, R.
2019. Journal of building performance simulation, 12 (1), 82–96. doi:10.1080/19401493.2018.1475506
Meeting the demand: geothermal heat supply rates for an urban quarter in Germany.
Tissen, C.; Menberg, K.; Bayer, P.; Blum, P.
2019. Geothermal Energy, 7 (1), 9. doi:10.1186/s40517-019-0125-8
The geothermal potential of cities.
Bayer, P.; Attard, G.; Blum, P.; Menberg, K.
2019. Renewable & sustainable energy reviews, 106, 17–30. doi:10.1016/j.rser.2019.02.019
Guidelines for the Bayesian calibration of building energy models.
Chong, A.; Menberg, K.
2018. Energy and buildings, 174, 527–547. doi:10.1016/j.enbuild.2018.06.028
Bayesian inference of structural error in inverse models of thermal response tests.
Choi, W.; Menberg, K.; Kikumoto, H.; Heo, Y.; Choudhary, R.; Ooka, R.
2018. Applied energy, 228, 1473–1485. doi:10.1016/j.apenergy.2018.06.147
Exergy analysis of a hybrid ground-source heat pump system.
Menberg, K.; Heo, Y.; Choi, W.; Ooka, R.; Choudhary, R.; Shukuya, M.
2017. Applied energy, 204, 31–46. doi:10.1016/j.apenergy.2017.06.076