A Novel Layered Slice Algorithm for Soil Heat Storage and Its Solving Performance Analysis
Guolong Li,
Dongliang Sun,
Dongxu Han and
Bo Yu
Additional contact information
Guolong Li: Beijing Key Laboratory of Pipeline Critical Technology and Equipment for Deepwater Oil and Gas Development, School of Mechanical Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, China
Dongliang Sun: Beijing Key Laboratory of Pipeline Critical Technology and Equipment for Deepwater Oil and Gas Development, School of Mechanical Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, China
Dongxu Han: Beijing Key Laboratory of Pipeline Critical Technology and Equipment for Deepwater Oil and Gas Development, School of Mechanical Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, China
Bo Yu: Beijing Key Laboratory of Pipeline Critical Technology and Equipment for Deepwater Oil and Gas Development, School of Mechanical Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, China
Energies, 2022, vol. 15, issue 10, 1-23
Abstract:
According to the structural and heat transfer characteristics of soil heat storage, a novel layered slice algorithm is proposed to realize the rapid and accurate solution to the problem. The heat transfer process between the double U-tube heat exchanger and the surrounding soil is taken as an example to analyze its solving performance. The study finds that the layered slice algorithm has higher simulation precision and faster solving speed. Its maximum relative error of temperature is only 0.19%. Compared with the traditional 3D simulation algorithm, it can accelerate about 2.2~2.56 times. At the same time, the layered slice algorithm has an excellent parallel characteristic. Its maximum parallel speedup ratio is more than twice that of the traditional 3D algorithm. Due to the superior solving performance, the proposed algorithm can help the optimization design of the buried-tube heat exchangers.
Keywords: soil heat storage; layered slice algorithm; solution performance; simulation precision; calculation speed (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.mdpi.com/1996-1073/15/10/3743/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/10/3743/ (text/html)
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:gam:jeners:v:15:y:2022:i:10:p:3743-:d:819462
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().