Skip to main content

Research Repository

Advanced Search

All Outputs (3)

Data-driven modelling for resource recovery: Data volume, variability, and visualisation for an industrial bioprocess (2022)
Journal Article
Fisher, O., Watson, N. J., Porcu, L., Bacon, D., Rigley, M., & Gomes, R. L. (2022). Data-driven modelling for resource recovery: Data volume, variability, and visualisation for an industrial bioprocess. Biochemical Engineering Journal, 185, Article 108499. https://doi.org/10.1016/j.bej.2022.108499

Advances in industrial digital technologies have led to an increasing volume of data generated from industrial bioprocesses, which can be utilised within data-driven models (DDM). However, data volume and variability complications make developing mod... Read More about Data-driven modelling for resource recovery: Data volume, variability, and visualisation for an industrial bioprocess.

Intelligent Sensors for Sustainable Food and Drink Manufacturing (2021)
Journal Article
Watson, N. J., Bowler, A. L., Rady, A., Fisher, O. J., Simeone, A., Escrig, J., …Adedeji, A. A. (2021). Intelligent Sensors for Sustainable Food and Drink Manufacturing. Frontiers in Sustainable Food Systems, 5, Article 642786. https://doi.org/10.3389/fsufs.2021.642786

Food and drink is the largest manufacturing sector worldwide and has significant environmental impact in terms of resource use, emissions, and waste. However, food and drink manufacturers are restricted in addressing these issues due to the tight pro... Read More about Intelligent Sensors for Sustainable Food and Drink Manufacturing.

Multiple target data-driven models to enable sustainable process manufacturing: An industrial bioprocess case study (2021)
Journal Article
FISHER, O. J., WATSON, N. J., PORCU, L., BACON, D., RIGLEY, M., & GOMES, R. L. (2021). Multiple target data-driven models to enable sustainable process manufacturing: An industrial bioprocess case study. Journal of Cleaner Production, 296, Article 126242. https://doi.org/10.1016/j.jclepro.2021.126242

Process manufacturing industries constantly strive to make their processes increasingly sustainable from an environmental and economic perspective. A manufacturing system model is a powerful tool to holistically evaluate various manufacturing configu... Read More about Multiple target data-driven models to enable sustainable process manufacturing: An industrial bioprocess case study.