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Data Processing and Assessment

Once acquired, isotherm data should be processed and fitted to an isotherm model. Depending on the complexity of the problem at hand and on the amount of computing power available, different procedures can be used. This may have a bearing on the accuracy of the model coefficients, a most important factor for some applications, such as the prediction of individual band profiles and computer-assisted optimization studies. [Pg.135]

1 Processing Experimental Data into an Isotherm Equation [Pg.135]

Assuming a random error of constant standard deviation over the measiue-ment range, Harrison and Katti [161] have shown that the errors made on the parameters determined by a linearization procedure can be very important. Although their assumption of a constant absolute error over the entire concentration range where measurements are performed is somewhat unrealistic, their work points to some important questions. The use of nonlinear minimization algorithms allowed by the availability of modem computers permits improved accuracy in the determination of the isotherm parameters. [Pg.135]

Another important factor to consider is the objective function used in the fit. The best results seem to be obtained by minimizing the following objective function, using Marquardt s method [162]  [Pg.135]

In order to determine accurate isotherm data using most of the methods described earlier, it is necessary to measirre two important parameters that characterize the column used for these determinations the hold-up time and the column volume, or rather the amount of packing material that it contains. [Pg.136]


However, applicability of the bottom-up approach is limited primarily by cost implications to conduct ecosystem risk assessment following accurately the formal U.S. EPA procedure, an assessor must spent huge amounts of time and money on collecting necessary input data, data processing and interpreting the outputs. Of importance, very specific data are often required that cannot be easily obtained with the help of standard environmental monitoring studies. [Pg.13]

The downside of this mulhdisciplinary approach, however, is that a tremendous amount of informahon is produced, and consequently, data processing and interpretahon are comphcated. Therefore, another approach that can be used to maximize the resolving power of chromatography is to introduce a multidimensional separahon with column-coupling or column-switching (CS) as an alternative procedure, especially for purity assessment. [Pg.413]

Solubility data for the metal complexes in ScF CO2 are essential in order to develop models for the extraction processes and assess the feasibility of using ScF CO2 to replace organic solvents in conventional extraction processes. ScF CO2 solubility data for uranium complexes with TBP, P iketon or phosphine oxides are of particular interest fcM development of a ScF based process for reprocessing spent nuclear fuels. [Pg.200]

The construction of the criteria makes use of the automated measured data processing and makes it possible to formulate the assessment result in the form - met, not met . Additional outputs are the determination of ... [Pg.106]

Level III Sustainable supply chain decisions The highest level of analysis considers the retrofit designs integrated in the whole system. This level of analysis represents a holistic view and it is intended for companies aiming to achieve sustainable supply chains. This analysis requires time and it is data intensive. It covers several aspects of the process and assesses the relationship between stakeholders. Decisions wiU include conflicting aspects, which should be weighted, so that a final decision can be achieved. [Pg.262]

Then, a multidimensional vulnerability analysis for the two coastal areas is proposed. Furthermore, this study presents a new methodological approach to evaluating the structural, morphological and social vulnerability to tsunamis. This methodology was supported on the collection and assessment of large data from fieldwork and databases. The data processing and analysis were supported... [Pg.1582]

In the laboratory or process research section a laboratory procedure for a fine chemical is worked out. The resulting process description provides the necessary data for the determination of preliminary product specifications, the manufacture of semicommercial quantities in the pilot plant, the assessment of the ecological impact, an estimation of the manufacturing cost in an industrial-scale plant, and the vaHdation of the process and determination of raw material specifications. [Pg.436]

Emissions During Exterior End Use. When flexible PVC is used in exterior appHcations plasticizer loss may occur due to a number of processes which include evaporation, microbial attack, hydrolysis, degradation, exudation, and extraction. It is not possible, due to this wide variety of contribution processes, to assess theoretically the rate of plasticizer loss by exposure outdoors. It is necessary, therefore, to carry out actual measurements over extended periods in real life situations. Litde suitable data have been pubHshed with the exception of some studies on roofing sheet (47). The data from roofing sheet has been used to estimate the plasticizer losses from all outdoor appHcations. This estimate may weU be too high because of the extrapolation involved. Much of this extracted plasticizer does not end up in the environment because considerable degradation takes place during the extraction process. [Pg.132]

During process development, a model can be developed as soon as a conceptual flow sheet has been formulated. This model can be updated as more information about the process is obtained. Even at an early stage in the project, the model can be used to assess the preliminary economics of the process and the effect of technological changes on these economics. The model can aid in interpreting pilot-plant data and allows the study of many process alternatives. [Pg.72]

Until recently, the NRA has not participated during the approval process in assessing the potential environmental impact of pesticides. However, the NRA does supply monitoring data to MAFF and HSE for pesticide reviews. These occur once a pesticide has been approved for use for a certain length of time, or when further information is needed on an approved pesticide. In supplying these data, the NRA comments on any areas of concern. This contributed to the 1993 ban on the use of atrazine and simazine on non-cropped land. In January 1995 the NRA s National Centre for Toxic and Persistent Substances (TAPS) was made advisor to the DoF, on the potential impact on the aquatic environment of... [Pg.55]

Reliability Data Processing, 4) Safety and Reliability Assessment, 5) Data and Uncertainties, 6) Human Reliability, 7) Reliability Modelling and Techniques, 8) Reliability Feedback in Systems Design and Operation, 9) Intelligent Interfaces for Data Retrieval. [Pg.48]

In this study detailed fault trees with probability and failure rate calculations were generated for the events (1) Fatality due to Explosion, Fire, Toxic Release or Asphyxiation at the Process Development Unit (PDU) Coal Gasification Process and (2) Loss of Availability of the PDU. The fault trees for the PDU were synthesized by Design Sciences, Inc., and then subjected to multiple reviews by Combustion Engineering. The steps involved in hazard identification and evaluation, fault tree generation, probability assessment, and design alteration are presented in the main body of this report. The fault trees, cut sets, failure rate data and unavailability calculations are included as attachments to this report. Although both safety and reliability trees have been constructed for the PDU, the verification and analysis of these trees were not completed as a result of the curtailment of the demonstration plant project. Certain items not completed for the PDU risk and reliability assessment are listed. [Pg.50]


See other pages where Data Processing and Assessment is mentioned: [Pg.67]    [Pg.135]    [Pg.135]    [Pg.137]    [Pg.139]    [Pg.141]    [Pg.143]    [Pg.67]    [Pg.135]    [Pg.135]    [Pg.137]    [Pg.139]    [Pg.141]    [Pg.143]    [Pg.223]    [Pg.484]    [Pg.191]    [Pg.219]    [Pg.534]    [Pg.562]    [Pg.480]    [Pg.545]    [Pg.8]    [Pg.272]    [Pg.388]    [Pg.2]    [Pg.337]    [Pg.2]    [Pg.301]    [Pg.269]    [Pg.198]    [Pg.421]    [Pg.20]    [Pg.817]    [Pg.209]    [Pg.268]    [Pg.38]    [Pg.192]    [Pg.51]    [Pg.112]    [Pg.178]    [Pg.49]    [Pg.58]    [Pg.67]    [Pg.428]   


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Assessment process

Data assessment

Data processing

Process data

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