Abstract
This paper presents a novel simulation-based method for fast economic optimization of large hybrid ground source heat pump systems. Rapid evaluation of the objective function is achieved by the joint use of previously developed efficient algorithms, including Delaunay triangulation, successive flux estimation and fast spectral convolution. The resulting objective function is concave and composed only of continuous parameters. The global optimal solution of a problem composed of several dozens of boreholes operating over a 30 year time span is found using the Ant Colony Optimization algorithm for continuous domains, and convergence is achieved in under 12 min of computation time. Results show that optimization is key for proposing a financially viable hybrid ground source heat pump project for large commercial buildings. We also show that proper project financing, such as government guaranteed loans, can significantly contribute towards achieving better economic performance. The proposed approach is fast, convergent, practical, and can help promoters present hybrid GSHP projects under a less risky type of business.
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