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Dynamic Simulation Of Oxyfuel CO2 Processing Plant Case Study

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Dynamic Simulation Of Oxyfuel CO2 Processing Plant Case Study
2.4.1 Dynamic Simulation of Oxyfuel CO2 Processing Plants

Linde Engineering had designed and built completed products in process plants for industrials demanders such as air separation, synthesis gas production and more. It also went after the master plan for Computer Aided Process Engineering (CAPE) which was depended on programs for dynamic simulation of process plants and were very precious for “carbon capture and storage (CCS) technologies” (Martin et al., 2011). FIGURE 2.2 Oxyfuel process block diagram From the figure above, Linde Engineering had designed the technical resolution for CCS with oxyfuel process to heat the coal with oxygen in the atmosphere which that oxygen was made from “air separation unit (ASU)”. Later, the flue
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Therefore, Human System Interface (HSI) is required to help them dealing with the situations safer and more successfully with less ambivalently; in the case, information acquisition and decision creating are more preferable than manual manipulating. Hence, good HSI can reduce somehow the accidents, risk in workforces (Flaspoler et al., 2009; Jovanovic and Balos, 2012). Thus, a methodology was suggested to join users; mental models in HSI for CNC system (Fuchs-Frothnhofen et al., 1996) and several human factors’ principles could be used to improve interface screen, alarm system and more in nuclear plant for simulation (Carvalho et al., 2008). Furthermore, there was difficult method to evaluate the information search due to “ratio of fixation: importance and effectively selective attention (Ha and Seong, 2009). Also, Lee et al. (2013) had improved “computational situation assessment model” to create HSI in nuclear power plant constructed from “Situation awareness …show more content…
The optimal condition can be reached when both numerator and denominator are equivalent; thus, DIRijk will come near the optimal balance. Another equation is needed to take all the elements in HMI as a whole: BIjk = Bi in design attribute -j and importance attribute-k The optimal condition can be achieved as BI move to zero so that the HMI design’s balance for all elements will be optimized. Numerator and denominator are necessary to be verified in quantitative means to apply to these above equation (Jun, 2014). Hence, from this study, the HMI can be developed to achieve the optimum conditions so that it can imply to evolve by adding corresponding equation for biodiesel reactor later.

2.4.8 Computer Aided Design And Analysis of Volatile Separating

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