960 research outputs found

    Water-gas shift (WGS) Operation of Pre-combustion CO2 Capture Pilot Plant at the Buggenum IGCC

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    AbstractIn the Nuon/Vattenfall CO2 Catch-up project, a pre-combustion CO2 capture pilot plant was built and operated at the Buggenum IGCC power plant, the Netherlands. The pilot consist of sweet water-gas shift, physical CO2 absorption and CO2 compression. The technology performance was verified and validated models were obtained. This paper describes the validation of a WGS reactor model and the excellent catalyst resistance to carbiding at steam/CO=1.5 mol·mol-1 testing. Model-based optimization shows that compared to conventional operation at steam/CO=2.65, applying steam/CO=1.5 leads to a 10% lower CO2 capture of penalty of 1155 MJelectric·tCO2−1, albeit at a decreased optimum CO2 capture efficiency of 78.5% versus 87.5%

    Incidence and Mortality of Mucosal Disease in Iowa

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    Mucosal disease was first recognized in Iowa as an apparently new disease entity in cattle in January of 1951. The following inquiry is often made: Is the incidence of mucosal disease in cattle increasing in Iowa? It is difficult to determine accurately the incidence of any disease in farm animals

    Scaling Behavior of Human Locomotor Activity Amplitude: Association with Bipolar Disorder

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    Scale invariance is a feature of complex biological systems, and abnormality of multi-scale behaviour may serve as an indicator of pathology. The hypothalamic suprachiasmatic nucleus (SCN) is a major node in central neural networks responsible for regulating multi-scale behaviour in measures of human locomotor activity. SCN also is implicated in the pathophysiology of bipolar disorder (BD) or manic-depressive illness, a severe, episodic disorder of mood, cognition and behaviour. Here, we investigated scaling behaviour in actigraphically recorded human motility data for potential indicators of BD, particularly its manic phase. A proposed index of scaling behaviour (Vulnerability Index [VI]) derived from such data distinguished between: [i] healthy subjects at high versus low risk of mood disorders; [ii] currently clinically stable BD patients versus matched controls; and [iii] among clinical states in BD patients
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