Abstract
In petrochemical process plants, there are many heat exchangers using industrial water as coolant. Further, water treatment systems usually recycle the water in order to minimize the environmental loads. Optimization of maintenance management of the heat exchangers and treatment of industrial water is needed since the quality of industrial water strongly affects the corrosion rate of tubes in heat exchangers and the decrease of their heat transfer coefficients. In this paper, a method is proposed to obtain the optimum conditions utilizing multivariate analysis based on data collected in the daily works of maintenance and water treatment. A concrete example of applying this method to 31 existing plants and optimizing PDCA management of maintenance by improving the sum of maintenance cost and water treatment cost is shown.
| Original language | English |
|---|---|
| Pages (from-to) | 121-129 |
| Number of pages | 9 |
| Journal | Journal of Chemical Engineering of Japan |
| Volume | 52 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2019 Jan 1 |
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Keywords
- Heat Exchanger
- Industrial Water
- Maintenance Management
- Multivariate Analysis
- Water Treatment
ASJC Scopus subject areas
- Chemistry(all)
- Chemical Engineering(all)
Cite this
Optimization of maintenance management of industrial water heat exchangers and water treatment. / Hayashi, Kazuhiro; Tateno, Shigeyuki; Matsuyama, Hisayoshi.
In: Journal of Chemical Engineering of Japan, Vol. 52, No. 1, 01.01.2019, p. 121-129.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Optimization of maintenance management of industrial water heat exchangers and water treatment
AU - Hayashi, Kazuhiro
AU - Tateno, Shigeyuki
AU - Matsuyama, Hisayoshi
PY - 2019/1/1
Y1 - 2019/1/1
N2 - In petrochemical process plants, there are many heat exchangers using industrial water as coolant. Further, water treatment systems usually recycle the water in order to minimize the environmental loads. Optimization of maintenance management of the heat exchangers and treatment of industrial water is needed since the quality of industrial water strongly affects the corrosion rate of tubes in heat exchangers and the decrease of their heat transfer coefficients. In this paper, a method is proposed to obtain the optimum conditions utilizing multivariate analysis based on data collected in the daily works of maintenance and water treatment. A concrete example of applying this method to 31 existing plants and optimizing PDCA management of maintenance by improving the sum of maintenance cost and water treatment cost is shown.
AB - In petrochemical process plants, there are many heat exchangers using industrial water as coolant. Further, water treatment systems usually recycle the water in order to minimize the environmental loads. Optimization of maintenance management of the heat exchangers and treatment of industrial water is needed since the quality of industrial water strongly affects the corrosion rate of tubes in heat exchangers and the decrease of their heat transfer coefficients. In this paper, a method is proposed to obtain the optimum conditions utilizing multivariate analysis based on data collected in the daily works of maintenance and water treatment. A concrete example of applying this method to 31 existing plants and optimizing PDCA management of maintenance by improving the sum of maintenance cost and water treatment cost is shown.
KW - Heat Exchanger
KW - Industrial Water
KW - Maintenance Management
KW - Multivariate Analysis
KW - Water Treatment
UR - http://www.scopus.com/inward/record.url?scp=85062811373&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85062811373&partnerID=8YFLogxK
U2 - 10.1252/jcej.17we355
DO - 10.1252/jcej.17we355
M3 - Article
AN - SCOPUS:85062811373
VL - 52
SP - 121
EP - 129
JO - Journal of Chemical Engineering of Japan
JF - Journal of Chemical Engineering of Japan
SN - 0021-9592
IS - 1
ER -