Cargando…
An open GIS based 3D simulation software to predict cooling tower drift diffusion
This paper developed XJCT-3D, a simulation software for cooling tower wet plume dispersion. By coupling it with the Open GIS component Dotspatial, we have achieved geospatial visual representation of the calculation results, which has solved the problems of low calculation efficiency and insufficien...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10598195/ https://www.ncbi.nlm.nih.gov/pubmed/37875582 http://dx.doi.org/10.1038/s41598-023-45293-y |
_version_ | 1785125502529306624 |
---|---|
author | Wang, Xuan Lv, Minghua Liu, Shuhuan Li, Jing Zhang, Junfang Meng, Fanjun |
author_facet | Wang, Xuan Lv, Minghua Liu, Shuhuan Li, Jing Zhang, Junfang Meng, Fanjun |
author_sort | Wang, Xuan |
collection | PubMed |
description | This paper developed XJCT-3D, a simulation software for cooling tower wet plume dispersion. By coupling it with the Open GIS component Dotspatial, we have achieved geospatial visual representation of the calculation results, which has solved the problems of low calculation efficiency and insufficient visual representation of the traditional CFD software in the calculation of cooling tower wet plume dispersion. In order to verify the validity of the XJCT-3D software simulation results, we have conducted tracer experimental data from the ChalkPoint power plant. XJCT-3D accurately models wet plume deposition during cooling tower operation. From the XJCT-3D calculation results, we have observed that the maximum value of the cooling tower thermal plume wet deposition occurs near 610 m with a maximum value of 6.9E−07 kg/m(2) s. This finding suggests that the cooling tower emissions carry a significant load of particles or droplets that have settled on surfaces at this particular altitude. It provides insights into potential environmental and human health impacts and helps in identifying and assessing areas at relatively higher risk of deposition, such as nearby ecosystems, farmland, or urban areas. This information can contribute to the development of effective mitigation strategies and the implementation of appropriate measures to minimize the impact of cooling tower emissions. |
format | Online Article Text |
id | pubmed-10598195 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-105981952023-10-26 An open GIS based 3D simulation software to predict cooling tower drift diffusion Wang, Xuan Lv, Minghua Liu, Shuhuan Li, Jing Zhang, Junfang Meng, Fanjun Sci Rep Article This paper developed XJCT-3D, a simulation software for cooling tower wet plume dispersion. By coupling it with the Open GIS component Dotspatial, we have achieved geospatial visual representation of the calculation results, which has solved the problems of low calculation efficiency and insufficient visual representation of the traditional CFD software in the calculation of cooling tower wet plume dispersion. In order to verify the validity of the XJCT-3D software simulation results, we have conducted tracer experimental data from the ChalkPoint power plant. XJCT-3D accurately models wet plume deposition during cooling tower operation. From the XJCT-3D calculation results, we have observed that the maximum value of the cooling tower thermal plume wet deposition occurs near 610 m with a maximum value of 6.9E−07 kg/m(2) s. This finding suggests that the cooling tower emissions carry a significant load of particles or droplets that have settled on surfaces at this particular altitude. It provides insights into potential environmental and human health impacts and helps in identifying and assessing areas at relatively higher risk of deposition, such as nearby ecosystems, farmland, or urban areas. This information can contribute to the development of effective mitigation strategies and the implementation of appropriate measures to minimize the impact of cooling tower emissions. Nature Publishing Group UK 2023-10-24 /pmc/articles/PMC10598195/ /pubmed/37875582 http://dx.doi.org/10.1038/s41598-023-45293-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Wang, Xuan Lv, Minghua Liu, Shuhuan Li, Jing Zhang, Junfang Meng, Fanjun An open GIS based 3D simulation software to predict cooling tower drift diffusion |
title | An open GIS based 3D simulation software to predict cooling tower drift diffusion |
title_full | An open GIS based 3D simulation software to predict cooling tower drift diffusion |
title_fullStr | An open GIS based 3D simulation software to predict cooling tower drift diffusion |
title_full_unstemmed | An open GIS based 3D simulation software to predict cooling tower drift diffusion |
title_short | An open GIS based 3D simulation software to predict cooling tower drift diffusion |
title_sort | open gis based 3d simulation software to predict cooling tower drift diffusion |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10598195/ https://www.ncbi.nlm.nih.gov/pubmed/37875582 http://dx.doi.org/10.1038/s41598-023-45293-y |
work_keys_str_mv | AT wangxuan anopengisbased3dsimulationsoftwaretopredictcoolingtowerdriftdiffusion AT lvminghua anopengisbased3dsimulationsoftwaretopredictcoolingtowerdriftdiffusion AT liushuhuan anopengisbased3dsimulationsoftwaretopredictcoolingtowerdriftdiffusion AT lijing anopengisbased3dsimulationsoftwaretopredictcoolingtowerdriftdiffusion AT zhangjunfang anopengisbased3dsimulationsoftwaretopredictcoolingtowerdriftdiffusion AT mengfanjun anopengisbased3dsimulationsoftwaretopredictcoolingtowerdriftdiffusion AT wangxuan opengisbased3dsimulationsoftwaretopredictcoolingtowerdriftdiffusion AT lvminghua opengisbased3dsimulationsoftwaretopredictcoolingtowerdriftdiffusion AT liushuhuan opengisbased3dsimulationsoftwaretopredictcoolingtowerdriftdiffusion AT lijing opengisbased3dsimulationsoftwaretopredictcoolingtowerdriftdiffusion AT zhangjunfang opengisbased3dsimulationsoftwaretopredictcoolingtowerdriftdiffusion AT mengfanjun opengisbased3dsimulationsoftwaretopredictcoolingtowerdriftdiffusion |