Parameter estimation of in-situ thermal response test with unstable heat rate
Changxing Zhang,
Wei Song,
Shicai Sun and
Donggen Peng
Energy, 2015, vol. 88, issue C, 497-505
Abstract:
This paper proposed the history-independent algorithm based on CSM (cylindrical source model) in the TRT (thermal response test) with unstable heat rate. It achieved a faster computing speed and more accurate results than the usual superposition algorithms in processing variable heat rate problem. In order to alleviate ill-posed problem and improve the reliability of parameter estimation, a Matlab program was compiled to perform inversion calculation to obtain the ground thermal properties based on the SAA (simulated annealing algorithm) with preset lower and upper bounds for estimated parameters. The estimated ground thermal conductivity and volumetric heat capacity from in-situ TRT with unstable heat rate (case A) showed closest agreement with those (case B) evaluated by the LSM estimation method, and calculated water temperatures corresponding to estimated results agreed well with the measured water temperature. Based on SAA coupled with the history-independent mathematical algorithm in in-situ TRT with unstable heat rate, TRT can be performed continuously, independent of power fluctuation with both time and cost saved.
Keywords: Thermal response test; Borehole heat exchanger; Unstable heat rate; History-independent algorithm; Simulated annealing algorithm (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (17)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544215006556
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:88:y:2015:i:c:p:497-505
DOI: 10.1016/j.energy.2015.05.074
Access Statistics for this article
Energy is currently edited by Henrik Lund and Mark J. Kaiser
More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().