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3rd National Meeting on Hydrogeology

Cagliari, 14-16 June 2017

IAH Italian Chapter

University of Cagliari – Department of Chemical and Geological Sciences

THERMAL IMPACT EVALUATION OF AN OPEN LOOP HEAT PUMP

SYSTEM: INTEGRATED APPROACH WITH PROJECT DATA,

NUMERICAL MODELING AND GROUNDWATER MONITORING

Luca VETTORELLO 1, Silvia BERTOLDO 1, Roberto PEDRON 1, Andrea SOTTANI 1

1 Sinergeo Srl, Contrà del Pozzetto 4-36100 Vicenza, Italy, info@sinergeo.it

One of the crucial aspects about open loop low enthalpy geothermal applications is thermal impact estimation, already required from the first step of the hydrogeological study. But, without any monitoring dataset available, ante operam numerical model can’t be calibrated with a consistent series of field observations and so it won’t be initially able to reach an adequate reliability level. Therefore, the following groundwater monitoring period, maintained during the experimental operation of the geothermal system, is fundamental to relevantly improve the numerical model efficiency, adding new experimental information to the existing database. The heat transport simulation is always more often requested from public authorities to authorize an initial experimental testing period of the pilot geothermal plant. At the same time, the model is used to support plant design and engineering, defining optimized values of pumping and reinjection rates and finding the best placement of the wells. Moreover, the case study experience confirmed the importance of following model calibration, used with a bilateral approach in order to enhance forecast performance and to test initial assumptions validity. Case study heat pump system consists of a single couple of pumping and injection wells, together with a monitoring network of 4 piezometers drilled to a depth of about 40 m from ground level, at different distances from the reinjection point. Well screens intercept a 25-30 m thick confined aquifer, composed by highly permeable sandy gravel with hydraulic conductivity values in the range of 1E-03 m/s. After initial investigations, including several pumping tests to estimate aquifer hydraulic properties, experimental monitoring of thermal impact started in March 2013; so actually about 4 years of groundwater level and temperature data series have been collected.

During the first period of heat pump system activity, the numerical simulation realized with FEFLOW-DHI responded correctly to temperature trends measured in monitoring wells, confirming the accuracy of model setup and allowing an effective thermal parameters calibration. After a model update with more recent temperature observations, a comparison between calculated and observed values suggested the necessity of further investigations to confirm the offsite hydrogeological properties, specially relating to larger scale groundwater flow direction. Then a new monitoring well was drilled near the calculated heat plume centerline, to verify the revised simulation scenario; after a short monitoring period, the new measured temperature trend confirmed model hypothesis and a better representation of real thermal impact has been obtained.

References

Anderson M.P., 2005. Heat as a ground water tracer. Ground Water, 43(6): 951-968.

Clauser C., 2003. Numerical simulation of reactive flux in hot aquifers. SHEMAT and Processing SHEMAT. Springer.

(2)

3rd National Meeting on Hydrogeology

Cagliari, 14-16 June 2017

IAH Italian Chapter

University of Cagliari – Department of Chemical and Geological Sciences

Diersch H.J.G., 2014. FEFLOW Finite Element Modeling of Flow, Mass and Heat Transport in Porous and Fractured Media. Springer.

Fossoul F., Orban P. and Dassargues A., 2010. Modelling groundwater pumping and coupled heat transport in an alluvial aquifer: tests using different codes and optimisation. XVIII International Conference on Computational Methods in Water Resources, Barcelona.

Sethi R. and Di Molfetta A., 2007. Heat Transport Modeling in an Aquifer Downgradient a Municipal Solid Waste Landfill in Italy. American Journal of Environmental Sciences 3(3): 106-110

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