Research on Optimization of Ground-Coupled Heat Pump Systems under Specific Constraint Conditions

Article Preview

Abstract:

A design method for ground-coupled heat pump (GCHP) systems with specific constraint conditions is proposed. The total borehole number, borehole depth, borehole space and average velocity of fluid in the U-tube are considered as variables in the optimization problem. The optimization problem of four variables is transformed into that of single decision variable. A case study, which includes different schemes for designing GCHP systems of an office building and the corresponding economic analysis, is performed with the aid of simulation software. The result shows that optimal design parameters could be found in an economic optimization problem with specific constraint conditions. Additionally, design parameters may have a notable influence on the energy consumption of circulating pumps. The optimization method in this paper could be utilized by engineering designers for reference.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 953-954)

Pages:

673-679

Citation:

Online since:

June 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] W. Yang, J Zhou, W Xu, et al: Energy Policy. Vol. 38 (2010), p.323.

Google Scholar

[2] D. A Ball, R. D Fischer, D. L Hodgett: ASHRAE Transactions. Vol. 89(1983), p.416.

Google Scholar

[3] ASHRAE. Commercial/institutional ground-source heat pumps engineering manual. Atlanta: American Society of Heating, Refrigeration and Air-Conditioning Engineers, Inc., (1995).

Google Scholar

[4] H. Yang, P. Cui, Z. Fang: Applied Energy. Vol. 87(2010), p.16.

Google Scholar

[5] G. Hellstrom: Ground heat storage: Thermal analyses of duct storage systems. PhD Thesis. Department of Mathematical Physics, University of Lund, Sweden (1991).

Google Scholar

[6] G. Hellstrom: Duct ground heat storage model: Manual for computer code. Department of Mathematical Physics, University of Lund, Sweden (1989).

Google Scholar