(429e) Development and Implementation of Customized Symbols Based on the Greenscope Methodology for Sustainability Evaluation of Industrial Processes in the PI System
AIChE Annual Meeting
2023
2023 AIChE Annual Meeting
Topical Conference: Next-Gen Manufacturing
Next-Gen Manufacturing in Chemical and Energy Systems
Wednesday, November 8, 2023 - 9:20am to 9:40am
This work is a continuation of a study presented in AIChE 2022 (Bispo et al., 2022), in which key process indicators were implemented in the PI System, to be evaluated in customized symbols implemented in PI Vision. The objective now is to expand the set of indicators based on the GREENSCOPE methodology, which allows for the evaluation of the sustainability of production processes (Ruiz-Mercado et al., 2014). For this purpose, a sustainability scale has been proposed for each indicator, delimited by two scenarios: the best and the worst case. This nondimensional scale transforms indicator scores into discrete unidimensional values between the selected best target and worst-case scores, facilitating visualization and comparison of sustainability assessment results for each indicator in four areas (Ruiz-Mercado, 2011). The structure implemented in the PI System has allowed the monitoring of the sustainability scale using a customized radar plot, as well as online verification based on SPC techniques. The integration of the GREENSCOPE methodology with the monitoring and control tools of the PI System has allowed a comprehensive and integrated point of view on process sustainability, enabling more efficient and precise decision-making.
References
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Ruiz-Mercado, G.; Smith, R. L.; Gonzalez (2014). GREENSCOPE: Technical Userâs Guide. U. S. Environmental Protection Agency.
Bispo, H., Gadelha, E., Lima, F. V., Dantas, B., Almeida, N. A. B., Guerra, I. (2022). Development and Application of Customized Symbols in PI Vision for KPI Monitoring Based on the Greenscope Methodology. Proceedings of the AIChE Annual Meeting 2022, vol. 118 (1), pp. 2345-2356. DOI: 10.1016/j.proche.2022.03.045
Ruiz-Mercado, G. J. (2011). Sustainability Indicators for Chemical Processes: I. Taxonomy. Industrial & Engineering Chemistry Research.