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Techno-economic assessment of stripping modifications in an ammonia-based post-combustion capture process

handle: 20.500.11937/25474
Abstract The energy penalty associated with solvent regeneration accounts for the largest part of overall energy consumption in aqueous ammonia (NH3)-based post-combustion capture (PCC) processes. While extensive research focus on the process improvements to reduce the energy burden of solvent regeneration, little attention has been paid to techno-economic assessments that analyse the related energy savings and capital costs. In the present study, we assessed the technical and economic benefits of stripping modifications in an NH3-based PCC process integrated into a coal-fired power station. The stripping configurations included a rich-split process, cold-rich bypass, inter-heating, and combinations of these processes. We used a rigorous, rate-based model in the Aspen Plus® RateSep simulator to determine the technical performance of these new process modifications, while capital investment was estimated with a cost model based on the Aspen Capital Cost Estimator (AACE). All the proposed stripper modifications have technical and economic advantages compared to the reference case. The best configuration was inter-heating integrated with the rich-split process, which reduced reboiler duty by 40.7% and saved 29.2% of annual costs. The sensitivity study suggests that the modified stripping processes can maintain the economic benefits over the wide variations of the important parameters.
- Curtin University Australia
- Commonwealth Scientific and Industrial Research Organisation Australia
333, 620
333, 620
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).24 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
