DEXPI 2.0: Synergistic Integration of PFD and P&ID in a Unified Digital Model

Abstract With DEXPI 2.0, the DEXPI association aims to release its specifications for BFDs/PFDs (DEXPI Process) and P&IDs (DEXPI Plant) in one overarching package the first time. This comes with a new simplified serialization and handover format being extensible for future needs and use cases. This short communication based on the PEMT 2024 presentation names the main motivating vision for going this way with the DEXPI specifications: “seamless information handover from simulation to PFD” and “integration of PFD with P&ID”. As an outlook, ideas about the future mechanisms allowing explicit information integration with DEXPI 2.x are sketched.

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Publication Details

Journal
Chemie Ingenieur Technik
Published
2025-08-21
DOI
https://doi.org/10.1002/cite.70009
Primary Topic
Computational Physics and Python Applications
Type
article
Field-Weighted Citation Impact
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article

DEXPI 2.0: Synergistic Integration of PFD and P&ID in a Unified Digital Model

Gregor Tolksdorf, David Cameron, Manfred Theißen
Chemie Ingenieur Technik
Computational Physics and Python Applications
article

DEXPI 2.0: Synergistic Integration of PFD and P&ID in a Unified Digital Model

Gregor Tolksdorf, David Cameron, Manfred Theißen
article en

Abstract

Abstract With DEXPI 2.0, the DEXPI association aims to release its specifications for BFDs/PFDs (DEXPI Process) and P&IDs (DEXPI Plant) in one overarching package the first time. This comes with a new simplified serialization and handover format being extensible for future needs and use cases. This short communication based on the PEMT 2024 presentation names the main motivating vision for going this way with the DEXPI specifications: “seamless information handover from simulation to PFD” and “integration of PFD with P&ID”. As an outlook, ideas about the future mechanisms allowing explicit information integration with DEXPI 2.x are sketched.

Chemie Ingenieur TechnikVol. 97(11-12)
University of Oslo (NO), Evonik (Germany) (DE), PlantTec Medical (Germany) (DE)
Openalex Percentile: Top 89%
Computational Physics and Python Applications
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