Automatic Generation of a Lifecycle Analysis Model from a First Principles Industrial Process Simulation Model

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Researchers

Research units

  • VTT Technical Research Centre of Finland

Abstract

Model driven development of industrial process control systems has received extensive interest from the industrial informatics community. Another area of active interest has been the use of simulation of industrial processes in conjunction with control system design. However, the importance of sustainable development and environmental footprints are becoming increasingly important for the process industry, and Life Cycle Assessment (LCA) is the established technique for this purpose. LCA is currently being performed manually by a corps of engineers unaware of recent developments in industrial informatics. Thus LCA is a cumbersome process that cannot be integrated into a model driven development philosophy. This can significantly undermine the benefits from model driven development, since the outcome of LCA may result in significant change requests to the process design and consequently to the control system design. These problems could be overcome, if LCA could be brought under the scope of model driven development. This requires that the LCA model could be generated automatically into the LCA tool. This is feasible, since process designers ofter develop a first principles process simulation model that has the required information. This paper presents a methodology for automatic LCA model generation from a first-principles simulation model.

Details

Original languageEnglish
Title of host publicationProceedings of the IEEE 16th International Conference on Industrial Informatics, INDIN 2018
Publication statusPublished - 24 Sep 2018
MoE publication typeA4 Article in a conference publication
EventIEEE International Conference on Industrial Informatics - University of Porto's Engineering Faculty (FEUP), Porto, Portugal
Duration: 18 Jul 201820 Jul 2018
Conference number: 16
https://web.fe.up.pt/~indin2018/
https://web.fe.up.pt/~indin2018/

Publication series

NameIEEE International Conference on Industrial Informatics
PublisherIEEE
ISSN (Print)1935-4576
ISSN (Electronic)2378-363X

Conference

ConferenceIEEE International Conference on Industrial Informatics
Abbreviated titleINDIN
CountryPortugal
CityPorto
Period18/07/201820/07/2018
Internet address

    Research areas

  • Life Cycle Assessment, Model transformation, simulation, ontology, semantic, Constraint Handling Rules

ID: 27505343