Quantifying the thermal damping effect in underground vertical shafts using the nonlinear autoregressive with external input (NARX) algorithm

Pedram Roghanchi, Karoly C. Kocsis

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

As air descends the intake shaft, its infrastructure, lining and the strata will emit heat during the night when the intake air is cool and, on the contrary, will absorb heat during the day when the temperature of the air becomes greater than that of the strata. This cyclic phenomenon, also known as the “thermal damping effect” will continue throughout the year reducing the effect of surface air temperature variation. The objective of this paper is to quantify the thermal damping effect in vertical underground airways. A nonlinear autoregressive time series with external input (NARX) algorithm was used as a novel method to predict the dry-bulb temperature (T d ) at the bottom of intake shafts as a function of surface air temperature. Analyses demonstrated that the artificial neural network (ANN) model could accurately predict the temperature at the bottom of a shaft. Furthermore, an attempt was made to quantify typical “damping coefficient” for both production and ventilation shafts through simple linear regression models. Comparisons between the collected climatic data and the regression-based predictions show that a simple linear regression model provides an acceptable accuracy when predicting the T d at the bottom of intake shafts.

Original languageEnglish
Pages (from-to)255-262
Number of pages8
JournalInternational Journal of Mining Science and Technology
Volume29
Issue number2
DOIs
StatePublished - Mar 2019

Bibliographical note

Publisher Copyright:
© 2018

Keywords

  • Artificial neural network
  • Nonlinear autoregressive with external input (NARX)
  • Thermal damping effect
  • Underground mining
  • Vertical openings

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Geotechnical Engineering and Engineering Geology
  • Geochemistry and Petrology

Fingerprint

Dive into the research topics of 'Quantifying the thermal damping effect in underground vertical shafts using the nonlinear autoregressive with external input (NARX) algorithm'. Together they form a unique fingerprint.

Cite this