Advanced Production Management for Chemical Plants: Design and Evaluation of KPIs Suitable for Comprehensive Management of Steam Heat Loss

Chemical plants are transforming from safe and stable to high-efficiency and decarbonized production. Efficient utilization and recovery of saturated steam, one of the major energy sources, are essential. However, in medium and large chemical plants with hundreds of steam-related facilities, the number of flow meters is limited, making it difficult to measure heat balance directly. Moreover, identifying the types of process disturbances that cause heat loss in real time remains challenging for less-experienced operators. This study proposes a method to define and visualize real-time heat balance indicators (heat input, heat output, heat loss, work) as heat key performance indicators (KPIs) by using existing process control data and to formulate disturbance KPIs that represent process disturbances based on engineering knowledge. The proposed methods were applied to a vinyl acetate monomer (VAM) process constructed using a dynamic process simulator. The results confirmed that the approach reduced the need for new sensors and assisted in identifying the causes of heat loss, as well as estimating unmeasured heat KPIs.

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Publication Details

Journal
JOURNAL OF CHEMICAL ENGINEERING OF JAPAN
Published
2026-03-24
DOI
https://doi.org/10.1080/00219592.2026.2641918
Primary Topic
Process Optimization and Integration
Type
article
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0.00
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article

Advanced Production Management for Chemical Plants: Design and Evaluation of KPIs Suitable for Comprehensive Management of Steam Heat Loss

Yoshiyuki Yamashita, Yasunori Kobayashi
JOURNAL OF CHEMICAL ENGINEERING OF JAPAN
Process Optimization and Integration
article

Advanced Production Management for Chemical Plants: Design and Evaluation of KPIs Suitable for Comprehensive Management of Steam Heat Loss

Yoshiyuki Yamashita, Yasunori Kobayashi
article en

Abstract

Chemical plants are transforming from safe and stable to high-efficiency and decarbonized production. Efficient utilization and recovery of saturated steam, one of the major energy sources, are essential. However, in medium and large chemical plants with hundreds of steam-related facilities, the number of flow meters is limited, making it difficult to measure heat balance directly. Moreover, identifying the types of process disturbances that cause heat loss in real time remains challenging for less-experienced operators. This study proposes a method to define and visualize real-time heat balance indicators (heat input, heat output, heat loss, work) as heat key performance indicators (KPIs) by using existing process control data and to formulate disturbance KPIs that represent process disturbances based on engineering knowledge. The proposed methods were applied to a vinyl acetate monomer (VAM) process constructed using a dynamic process simulator. The results confirmed that the approach reduced the need for new sensors and assisted in identifying the causes of heat loss, as well as estimating unmeasured heat KPIs.

JOURNAL OF CHEMICAL ENGINEERING OF JAPANVol. 59(1)
Yokogawa Electric (Japan) (JP), Tokyo University of Agriculture and Technology (JP)
Openalex Percentile: Top 9%
Process Optimization and Integration
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