CO₂ Capture and Use in a Novel Coal-Based Polygeneration System

A novel coal-based polygeneration system with CO₂ recycling for CO₂ capture is proposed. Two CO₂ recycling schemes exist in this system. In the first, CO₂ is recycled into the gasifier as the gasifying agent. In the second, CO₂ is recycled into the gas turbine as a diluent. Compared with conventional CCS systems, this new system avoids the use of water gas shift and CO₂ separation processes to capture CO₂, and, more importantly, a part of CO₂ can be converted into CO in coal gasification and be used to synthesize chemicals, improving carbon element utilization and chemical output. By means of exergy analysis, comparison with four conventional single production systems shows that the proposed system provides more than 11% in energy savings and more than 25% in capital investment saving. The exergy efficiency, CO₂ emission, and internal rate of return may be expected to reach 46.3%, 0.47 <i>t</i>·(<i>t</i>-coal)⁻¹ and 14.76%, respectively

Comparative Analysis of Typical Low Rank Coal Pyrolysis Technology Based on a Nonlinear Programming Model

A nonlinear programming (NLP) model has been established to describe the process of low rank coal pyrolysis, and the model was validated through comparison with pilot or semi-industry technologies. Results showed good agreement with actual production values, suggesting that the model can be regarded as a general one for simulating low rank coal pyrolysis. On the basis of this model, the products’ distributions and energy penalties can be obtained from the coal pyrolysis process. In this study, the NLP model was used to simulate typical five pyrolysis processes such as the Toscoal process, Lurgi–Ruhrgas process, Char Oil Energy Development technology, Dalian University of Technology process, and Multistage Rotary Furnace technology from China Coal Research Institute, and Hulunbuir lignite was taken as a coal sample. Combined with the simulation results from the NLP model, effects of the key parameters on the performance of the pyrolysis technologies are investigated and a comprehensive evaluation in terms of techno-economic performance is completed, from which the most suitable pyrolysis technologies for the Hulunbuir lignite feedstock are the Toscoal and Lurgi–Ruhrgas processes. All of the above work is beneficial for assisting the selection of the optimal pyrolysis technology for a coal feedstock with different composition features

Summary receiver operating characteristic curve for Ber-EP4 in the diagnosis of metastatic adenocarcinoma for all studies.

<p>Solid circles represent each study included in the meta-analysis. The size of each solid circle indicates the size of each study. The regression SROC curve summarizes the overall diagnostic accuracy.</p

Flow chart of selection process for eligible articles.

<p>Flow chart of selection process for eligible articles.</p

Funnel graph for the assessment of potential publication bias of the 29 included studies.

<p>The funnel graph plots the log of the diagnostic odds ratio (DOR) against the standard error of the log of the DOR (an indicator of sample size). Solid circles represent each study in the meta-analysis. The line indicates the regression line.</p

Forest plots of the sensitivity and speci­ficity for Ber-EP4 in the diagnosis of metastatic adenocarcinoma for all studies.

<p>The point estimates of sensitivity and specificity for each study are shown as solid circles and the size of each solid circle indicates the sample size of each study. Error bars are 95% confidence intervals.</p

Summary of the studies included in the meta-analysis.

<p>TP, true positive; FP, false positive; FN, false negative; TN, true negative.</p><p>Summary of the studies included in the meta-analysis.</p

Additional file 1 of Characteristics, treatments, in-hospital and long-term outcomes among inpatients with acute exacerbation of chronic obstructive pulmonary disease in China: sex differences in a large cohort study

Supplementary Material 1. Table S1: Variables recorded in MAGNET AECOPD study; Figure S1: The incidence of discharge against medical advice at discharge in the overall cohort and the subgroup of smokers according to sex; Figure S2: The long-term clinical outcomes in patients with AECOPD; Figure S3: The in-hospital clinical outcomes in the smokers with AECOP

Additional file 1 of A simple clinical risk score (ABCDMP) for predicting mortality in patients with AECOPD and cardiovascular diseases

Supplementary Material

Additional file 1 of Clinical characteristics and mortality predictors among very old patients with pulmonary thromboembolism: a multicenter study report

Additional file 1: Supplement. Echocardiography in very old patients with PTE