dc.contributor.author | Hotvedt, Mathilde | |
dc.contributor.author | Hauger, Svein Olav | |
dc.contributor.author | Gjertsen, Fredrik | |
dc.contributor.author | Imsland, Lars Struen | |
dc.date.accessioned | 2019-11-27T07:31:41Z | |
dc.date.available | 2019-11-27T07:31:41Z | |
dc.date.created | 2019-09-16T08:34:42Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | IFAC-PapersOnLine. 2019, 52 (1), 856-861. | nb_NO |
dc.identifier.issn | 2405-8963 | |
dc.identifier.uri | http://hdl.handle.net/11250/2630642 | |
dc.description.abstract | This work investigates economic optimisation of an energy-intensive amine regeneration process in a post-combustion CO2 capture plant, subject to a minimum CO2 capture ratio over 24 hours. A Dynamic Real-Time Optimisation algorithm is implemented as a single-level Nonlinear Model Predictive Control scheme by utilising the infeasible soft-constraint method to include economic objectives in an industrial tracking NMPC package. A time-varying price of electricity is exploited to enhance cost minimisation by adjusting the regeneration according to the peaks of the price curve. This flexible mode of operation is compared to a fixed mode of operation with constant amine regeneration. Simulation results indicate a cost reduction of 10.9% for a reference accumulated capture ratio of 91%. Robustness of the optimisation to abrupt changes in CO2 feed composition and electricity price is also investigated in simulations and results are promising. The NMPC controller uses a reduced, control-oriented model of the capture plant developed from first principle conservation laws with control volumes to discretize the model equations in space. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | International Federation of Automatic Control (IFAC) | nb_NO |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/deed.no | |
dc.title | Dynamic Real-Time Optimisation of a CO2 Capture Facility | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | publishedVersion | nb_NO |
dc.source.pagenumber | 856-861 | nb_NO |
dc.source.volume | 52 | nb_NO |
dc.source.journal | IFAC-PapersOnLine | nb_NO |
dc.source.issue | 1 | nb_NO |
dc.identifier.doi | 10.1016/j.ifacol.2019.06.169 | |
dc.identifier.cristin | 1724881 | |
dc.description.localcode | © 20XX, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. Under a Creative Commons CC-BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/). | nb_NO |
cristin.unitcode | 194,63,25,0 | |
cristin.unitname | Institutt for teknisk kybernetikk | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |