Ground source heat pump systems represent a promising renewable thermal energy solution, yet their modeling has historically overlooked crucial geological and operational complexities. Conventional approaches typically ignore geothermal gradients, geological stratification, and seasonal building load variations—assumptions that become dangerously inaccurate for deep systems exceeding one kilometer depth.
A new integrated modeling methodology addresses these limitations by coupling detailed subsurface hydrogeological simulation with dynamic mechanical system codes. The framework simultaneously captures groundwater flow and heat transfer in geological formations while accounting for variable heat demands throughout annual cycles. Critically, the model adjusts operating parameters in real time: flow rates and the number of activated heat pumps respond dynamically to system efficiency and instantaneous thermal demand.
The approach incorporates practical constraints reflecting actual building operations and safety requirements, preventing unrealistic thermal extraction scenarios. This enables designers to model hybrid scenarios where geothermal systems partially meet building demands while operating at peak efficiency, rather than forcing oversized or undersized installations.
The research team tested the framework using a sedimentary basin in eastern Canada with a modest geothermal gradient of 23.5°C/km—representative of many continental locations with limited deep heat resources. The model calculates both thermal power production and electric consumption, providing comprehensive energy balance assessments.
By bridging earth sciences and mechanical engineering, this integrated approach transforms how deep borehole systems are designed and operated. Engineers can now account for geological heterogeneity, thermal stratification, and realistic load patterns simultaneously. The methodology supports more efficient deployment of ground source heat pumps in regions previously considered marginal for deep geothermal development, expanding renewable heating options across diverse geological settings. As building decarbonization accelerates globally, such rigorous modeling becomes essential for maximizing performance and economic viability of thermal energy systems.
