Prediction of sorption enhanced steam methane reforming products from machine learning based soft-sensor models
(2020)
Journal Article
Nkulikiyinka, P., Yan, Y., Güleç, F., Manovic, V., & Clough, P. T. (2020). Prediction of sorption enhanced steam methane reforming products from machine learning based soft-sensor models. Energy and AI, 2, Article 100037. https://doi.org/10.1016/j.egyai.2020.100037
Carbon dioxide-abated hydrogen can be synthesised via various processes, one of which is sorption enhanced steam methane reforming (SE-SMR), which produces separated streams of high purity H2 and CO2. Properties of hydrogen and the sorbent material h... Read More about Prediction of sorption enhanced steam methane reforming products from machine learning based soft-sensor models.