New sizing methodology for cost minimization of ground coupled heat pump systems considering groundwater flow

Authors: Samson, Martin
Advisor: Gosselin, Louis
Abstract: This master’s thesis introduces a new sizing methodology for ground coupled heat pump (GCHP) systems which takes into account groundwater flow in order to achieve a technoeconomic optimization of the total cost of the project. A literature review is presented and the problem is defined in order to show missing elements from current GCHP sizing procedures. The new sizing procedure includes hydrogeological data, building thermal loads, and GCHP system costs, while improving actual design methodologies by including an analytical approach for groundwater flow in the heat transfer simulation of the borefield. The research methodology is presented, including the optimization strategy, the G-functions used during energy simulations, and the challenges encountered during this master’s degree. The G-functions are calculated with two analytical models: infinite cylinder source (ICS) and moving finite line source (MFLS). A new mathematical simplification for the integration of G-functions in the optimization routine is derived, which considerably reduces computational time (by up to 25%) and is a new addition to current methodologies using G-functions. Testing procedures and a convergence analysis are also discussed. The new sizing methodology includes the calculation of the initial and the annual operational costs. Optimal design variables (borehole depths, distance between consecutive boreholes, etc.) and borefield layouts (number of boreholes in the x -direction) are presented for different values of ground thermal conductivity and groundwater velocity. In addition, a parametric study is done to measure the impact of the groundwater flow velocity and angle with respect to the borefield on the economics of the project. A simultaneous comparison of the initial and operational costs is also completed, as it can provide interesting insights for multi-criterion design processes. Finally, optimized designs are tested under off-design operating conditions.
Document Type: Mémoire de maîtrise
Issue Date: 2018
Open Access Date: 30 May 2018
Grantor: Université Laval
Collection:Thèses et mémoires

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