Global Clean Gas Process Synthesis and Optimisation
作者： Mar Pérez-Fortes , Aarón D. Bojarski
DOI: 10.1007/978-0-85729-540-8_10
关键词: Cash flow 、 Ecological footprint 、 Multiple-criteria decision analysis 、 Integrated gasification combined cycle 、 Performance indicator 、 Life-cycle assessment 、 Decision analysis 、 Selection (genetic algorithm) 、 Computer science 、 Operations research
摘要: This chapter begins with an introduction to the different possible metrics related clean gas process synthesis and its subsequent usage. Latter, techniques for tackling multiple criteria are presented, emphasising use of multi-criteria decision analysis (MCDA) multi-objective optimisation (MOO). The elected here described later used as key performance indicators (KPI) proposed scenarios, in “ Selection Best Designs Specific Applications”. Finally, a case study operation IGCC plant considering coal–petcoke or natural fuel is assessed applying optimization concepts introduced taking into account considerations developed this previous chapters.
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