Grant: Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
The Royal Institution for the Advancement of Learning/McGill University
$249,920.00
Leveraging digital twin for process eco-efficiency and optimization of pea protein fractionation
FY 2023-24 · 2024-03-22
Summary
Thermal pre-treatment, specifically Radio Frequency (RF) treatment of pulses prior to protein extraction has been proven to improve fractionation efficiency and functionality of protein concentrates. Towards fully adopting these methods at industrial scale, it is necessary to establish the optimum process configuration and conditions that maximizes the overall technoeco-environmental performance. While the experimental optimization approach provides a reflective model for optimization, just a few scenarios can be carried out. Therefore, this project seeks to develop a digital twin model to reflect pilot-scale pea and faba bean flour and protein fractionation, thus providing a means for control, optimization, and productprocess performance prediction. This project will support the CSTIP goals in terms of enabling the innovation of new technologies. The dataset generated will support the design and improvement of plant protein fractionation technologies. Moreover, this will strengthen collaborations among different stakeholders in pulse protein production towards enhancing the overall Canadian bioeconomy.
Department
Program
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Location
Montreal|Montréal, Quebec, Canada
Recipient Type
Academia
Business Number
119128981
Type
Grant
Source
Proactive Disclosure - Grants and Contributions
As published
Reference Number
172-2023-2024-Q4-1015386
Amendment Number
0
Agreement Type
Grant
Recipient Type
S
Recipient Business Number
119128981
Recipient Legal Name
The Royal Institution for the Advancement of Learning/McGill University
Recipient Country
CA
Recipient Province or Territory
QC
Recipient City
Montreal|Montréal
Recipient Postal Code
H3A 2M7
Federal Riding
Ville-Marie--Le Sud-Ouest--Île-des-Soeurs
Federal Riding (French)
Ville-Marie--Le Sud-Ouest--Île-des-Soeurs
Federal Riding Number
24077
Program Name
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Program Name (French)
Programme de collaboration en science, en technologie et en innovation - Initiatives de collaboration en R-D
Program Purpose
Collaborate on multiparty research and development programs to catalyze transformative, high-risk, high-reward research with the potential for game-changing scientific discoveries and technological breakthroughs in priority areas.
Program Purpose (French)
Collaborer à des programmes multipartites de recherche-développement dans le but de profiter de la synergie entre la recherche transformatrice à haut risque et à haut rendement et le potentiel de découvertes scientifiques et de percées technologiques révolutionnaires dans des secteurs d’intervention prioritaires.
Agreement Title
Leveraging digital twin for process eco-efficiency and optimization of pea protein fractionation
Agreement Title (French)
Utilisation du jumeau numérique pour favoriser l’écoefficacité des procédés et l’optimisation du fractionnement des protéines de pois
Agreement Number
1015386
Agreement Value
$249,920.00
Agreement Start Date
2024-03-22
Agreement End Date
2026-03-31
Description
Thermal pre-treatment, specifically Radio Frequency (RF) treatment of pulses prior to protein extraction has been proven to improve fractionation efficiency and functionality of protein concentrates. Towards fully adopting these methods at industrial scale, it is necessary to establish the optimum process configuration and conditions that maximizes the overall technoeco-environmental performance. While the experimental optimization approach provides a reflective model for optimization, just a few scenarios can be carried out. Therefore, this project seeks to develop a digital twin model to reflect pilot-scale pea and faba bean flour and protein fractionation, thus providing a means for control, optimization, and productprocess performance prediction. This project will support the CSTIP goals in terms of enabling the innovation of new technologies. The dataset generated will support the design and improvement of plant protein fractionation technologies. Moreover, this will strengthen collaborations among different stakeholders in pulse protein production towards enhancing the overall Canadian bioeconomy.
Description (French)
Utilisation du jumeau numérique pour favoriser l’écoefficacité des procédés et l’optimisation du fractionnement des protéines de pois
NAICS Code
541710 - R&D in the physical, engineering and life sciences
Expected Results
In the short term, anticipated outcomes will be strengthened collaborations across industry, academia, and government to support research excellence. In the medium term, anticipated outcomes will be the development of new and potentially disruptive technologies with collaborators. In the long term, find collaborative solutions to public policy challenges and create stronger innovation systems.
Expected Results (French)
À court terme, les résultats prévus seront des collaborations renforcées entre l'industrie, le milieu universitaire et le gouvernement pour soutenir l'excellence en recherche. À moyen terme, les résultats attendus seront le développement de nouvelles technologies potentiellement perturbatrices avec des collaborateurs. À long terme, trouver des solutions collaboratives aux défis des politiques publiques et créer des systèmes d'innovation plus solides.
Organization Code
nrc-cnrc
Organization
National Research Council Canada | Conseil national de recherches Canada
