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- Chowdhury, Mohammed Gofran, et al.
(author)
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Experimentally validated CFD simulations predicting wind effects on photovoltaic modules mounted on inclined surfaces
- 2018
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In: Sustainable Energy Technologies and Assessments. - : ELSEVIER SCIENCE BV. - 2213-1388 .- 2213-1396. ; 30, s. 201-208
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Journal article (peer-reviewed)abstract
- Computational Fluid Dynamics (CFD) and wind tunnel experiments were used to study wind flow over PV modules attached to inclined surfaces. Wind velocities were investigated at various positions on a WA module, for five wind speeds varying from 1 to 5 m s(-1). After validation the CFD model was used to study the effects air gaps and wall cavities under the module have on the airflow over the module. Data were measured for two air gaps, 3.5 cm and 5.5 cm thick, and for three cavity depths ranging from 0 cm to 9 cm. The 3.5 cm air gap resulted in lower near-surface wind speeds over the PV module. This will result in less wind-generated cooling of the module, and consequently, in a lower electrical performance. The wall cavities did not affect the magnitude of the wind speed over the module but generated an increased deflection of the wind towards the lateral sides of the module. They also created clockwise and anti-clockwise eddies next to the PV setup and in the cavity itself. The study shows that in CFD simulations for PV applications, even small irregularities in the PV setup should be included in the model to predict reliable results.
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2. |
- Johnstone, Mandy, et al.
(author)
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Copy number variations in DISC1 and DISC1-interacting partners in major mental illness
- 2015
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In: Molecular neuropsychiatry. - : S. Karger AG. - 2296-9209. ; 1:3, s. 175-190
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Journal article (peer-reviewed)abstract
- Robust statistical, genetic and functional evidence supports a role for DISC1 in the aetiology of major mental illness. Furthermore, many of its protein-binding partners show evidence for involvement in the pathophysiology of a range of neurodevelopmental and psychiatric disorders. Copy number variants (CNVs) are suspected to play an important causal role in these disorders. In this study, CNV analysis of DISC1 and its binding partners PAFAH1B1, NDE1, NDEL1, FEZ1, MAP1A, CIT and PDE4B in Scottish and Northern Swedish population-based samples was carried out using multiplex amplicon quantification. Here, we report the finding of rare CNVs in DISC1, NDE1 (together with adjacent genes within the 16p13.11 duplication), NDEL1 (including the overlapping MYH10 gene) and CIT. Our findings provide further evidence for involvement of DISC1 and its interaction partners in neuropsychiatric disorders and also for a role of structural variants in the aetiology of these devastating diseases.
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