{"id":70147,"date":"2026-04-02T05:51:31","date_gmt":"2026-04-02T09:51:31","guid":{"rendered":"https:\/\/blogs.sw.siemens.com\/simcenter\/?p=70147"},"modified":"2026-04-02T05:51:36","modified_gmt":"2026-04-02T09:51:36","slug":"simcenter-culgi-meets-simcenter-star-ccm-bridging-computational-chemistry-and-cfd-for-holistic-carbon-capture-simulations","status":"publish","type":"post","link":"https:\/\/blogs.sw.siemens.com\/simcenter\/simcenter-culgi-meets-simcenter-star-ccm-bridging-computational-chemistry-and-cfd-for-holistic-carbon-capture-simulations\/","title":{"rendered":"Simcenter Culgi Meets Simcenter STAR-CCM+: Bridging computational chemistry and CFD for holistic carbon capture simulations"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">Membrane separation for carbon capture and beyond<\/h2>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p><\/p>\n\n\n\n<p>Membranes play key roles in a wide range of technologies, from water treatment and energy systems like electrolysis, fuel cells, and batteries, to critical medical applications. These engineered components act as semi-permeable barriers, enabling controlled separation of molecules  which is fundamental for processes such as filtration and selective transport.  <\/p>\n\n\n\n<p>Membrane separation processes are highly energy efficient and have small physical and chemical footprints &#8211; this makes them particularly promising for carbon capture applications. For effective performance, membranes also must fulfill additional critical criteria, including high permeance and selectivity, thinness and stability under chemical, thermal, and mechanical stress.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"852\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/11\/process3-1024x852.png\" alt=\"Membrane separation processes are highly energy efficient and particularly promising for carbon capture applications\" class=\"wp-image-70254\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/11\/process3-1024x852.png 1024w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/11\/process3-600x499.png 600w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/11\/process3-768x639.png 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/11\/process3-900x749.png 900w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/11\/process3.png 1179w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n<\/div>\n\n\n\n<p>Carbon capture technologies in general aim to reduce greenhouse gas emissions by removing CO\u2082 from industrial flue gases or process gases, such as those generated in power plants and chemical manufacturing facilities. This approach is especially interesting for the decarbonization of hard-to-abate industrial sectors, including cement, steel, and glass production. <\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Simulating membranes with Simcenter STAR-CCM+<\/h2>\n\n\n\n<p><\/p>\n\n\n\n<p>In membrane-based CO\u2082 separation, the process is driven by the difference in partial pressure across the membrane, enabling the selective transport of CO\u2082 from the gas mixture through the membrane material. The underlying flow dynamics can be simulated using Simcenter STAR-CCM+ to analyze performance and identify opportunities for optimization. Within CFD (Computational Fluid Dynamics), membranes are typically modeled as having zero geometric thickness to simplify mass transfer calculations for specific species.<\/p>\n\n\n\n<p>To perform such calculations,  permeability values are required for the membrane materials. And this is a challenge that every engineer dealing with complex material behavior is likely familiar with: producing accurate CFD or FEM (Finite Element Method)  simulation results requires precise information about the relevant material properties. <\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\"><\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Adding microscopic information to enhance CFD<\/h2>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p>Material properties are typically found in literature, manufacturer data sheets, or through direct communication with manufacturers. Alternatively, they can be determined from test bench experiments. However, gathering the necessary information can often be cumbersome.<\/p>\n\n\n\n<p>Simcenter Culgi, a simulation software for designing and optimizing advanced materials at the molecular level, provides an alternative approach. Not only can existing material properties be retrieved based on their composition, but new materials can also be explored. An example for a carbon capture membrane material this is shown here:  <br><\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"675\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/11\/Chemical-Lab-Microscope_original-1024x675.jpg\" alt=\"Microscope being used by scientist\n\" class=\"wp-image-70248\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/11\/Chemical-Lab-Microscope_original-1024x675.jpg 1024w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/11\/Chemical-Lab-Microscope_original-600x396.jpg 600w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/11\/Chemical-Lab-Microscope_original-768x506.jpg 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/11\/Chemical-Lab-Microscope_original-1536x1013.jpg 1536w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/11\/Chemical-Lab-Microscope_original-2048x1351.jpg 2048w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/11\/Chemical-Lab-Microscope_original-900x594.jpg 900w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\"> <\/figcaption><\/figure>\n<\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Investigate emerging materials with Simcenter Culgi<\/h2>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<p><\/p>\n\n\n\n<p>In recent years, several innovative and emerging membrane materials have been investigated. One particularly interesting example for CO<sub>2<\/sub> separation is a microporous polymer called PIM-1 (Polymer of intrinsic microporosity). PIM-1, as the name indicates, is noteable for its intrinsic microporosity, which has been discovered only in the year 2004 and arises directly from its molecular, ladder-like, contorted structure. The molecule structure and the ball-stick image illustrate this. When connected, the irregular packing of the rigid macromolecules lead to the characteristic microporosity, providing pathways for molecular diffusion through the polymer matrix. Additionally, PIM-1 can be processed into arbitrary forms, making it very suitable for membrane fabrication.<\/p>\n\n\n\n<p>Simcenter Culgi can be used to analyze the structure and properties of PIM-1 as well as the transport of CO<sub>2<\/sub> gas through the membrane. The separation process mechanism is primarily diffusion, enhanced by selective solubility effects.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"265\" height=\"320\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/11\/pim1_structureformula-and-ball-model.png\" alt=\"Structure formula and Ball-model\" class=\"wp-image-70258\"\/><figcaption class=\"wp-element-caption\">PIM-1: Structure formula and Ball-model &#8211; yellow balls indicate connectors to neighboring molecules<\/figcaption><\/figure>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"547\" height=\"537\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/11\/ball-stick_PIM-1-1.png\" alt=\"Simcenter Culgi result visualisation: CO2 molecules and microporous structure caused by irregular packing of rigid macromolecules\" class=\"wp-image-70266\" style=\"width:371px;height:auto\"\/><figcaption class=\"wp-element-caption\">Simcenter Culgi result visualisation: CO<sub>2<\/sub> molecules and microporous structure caused by irregular packing of rigid macromolecules<\/figcaption><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p><\/p>\n\n\n\n<p>For CFD practitioners, this provides an intriguing example of how molecular structure directly impacts transport properties at the continuum scale. By incorporating diffusion and solubility data for PIM-1 into CFD models, it is possible to simulate its performance in applications such as CO\u2082 capture, where membrane-based separation plays a critical role. <br><\/p>\n\n\n\n<p>Naturally, this approach can be applied to many other membranes or material applications.<\/p>\n\n\n\n<p><br><\/p>\n\n\n<div class=\"crp_related   crp_related_block   \"><h3 class=\"related-posts\">What to read next<\/h3><div id=\"related-posts\" class=\"row\"><div class=\"related-post col-12 col-sm-4\"><div class=\"related-inner\"><a href=\"https:\/\/blogs.sw.siemens.com\/simcenter\/predict-viscosity-of-complex-fluids\/\"     class=\"crp_link post-69918\"><figure><img loading=\"lazy\" decoding=\"async\" width=\"395\" height=\"222\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/11\/Predict-viscosity-of-complex-fluids-with-Simcenter-Culgi-395x222.jpg\" class=\"crp_featured crp_thumb tile-article\" alt=\"Predict viscosity of complex fluids with Simcenter Culgi\" style=\"\" title=\"Chocolate, mayo and the science of slippery stuff: Predict viscosity of complex fluids\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/11\/Predict-viscosity-of-complex-fluids-with-Simcenter-Culgi-395x222.jpg 395w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/11\/Predict-viscosity-of-complex-fluids-with-Simcenter-Culgi-600x338.jpg 600w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/11\/Predict-viscosity-of-complex-fluids-with-Simcenter-Culgi-1024x576.jpg 1024w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/11\/Predict-viscosity-of-complex-fluids-with-Simcenter-Culgi-768x432.jpg 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/11\/Predict-viscosity-of-complex-fluids-with-Simcenter-Culgi-1536x864.jpg 1536w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/11\/Predict-viscosity-of-complex-fluids-with-Simcenter-Culgi-900x506.jpg 900w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/11\/Predict-viscosity-of-complex-fluids-with-Simcenter-Culgi.jpg 1920w\" sizes=\"auto, (max-width: 395px) 100vw, 395px\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/11\/Predict-viscosity-of-complex-fluids-with-Simcenter-Culgi-395x222.jpg 395w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/11\/Predict-viscosity-of-complex-fluids-with-Simcenter-Culgi-600x338.jpg 600w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/11\/Predict-viscosity-of-complex-fluids-with-Simcenter-Culgi-1024x576.jpg 1024w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/11\/Predict-viscosity-of-complex-fluids-with-Simcenter-Culgi-768x432.jpg 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/11\/Predict-viscosity-of-complex-fluids-with-Simcenter-Culgi-1536x864.jpg 1536w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/11\/Predict-viscosity-of-complex-fluids-with-Simcenter-Culgi-900x506.jpg 900w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/11\/Predict-viscosity-of-complex-fluids-with-Simcenter-Culgi.jpg 1920w\" \/><\/figure><span class=\"crp_title\">Chocolate, mayo and the science of slippery stuff:&hellip;<\/span><\/a><span class=\"crp_date\"> November 12, 2025<\/span> <span class=\"crp_excerpt\"> Who doesn&#8217;t remember Sir G. 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Check back regularly as&hellip;<\/span><\/div><\/div><!-- end .related-post --><\/div><!-- end #related-posts --><div class=\"crp_clear\"><\/div><\/div><\/div>\n<\/div>\n\n\n\n<p><\/p>\n\n\n\n<a href=\"https:\/\/www.g2.com\/products\/simcenter-star-ccm\/reviews?utm_source=review-widget\" title=\"Read reviews of Simcenter STAR-CCM+ on G2\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" class=\"full-width\" style=\"max-width: 200px\" alt=\"Read Simcenter STAR-CCM+ reviews on G2\" src=\"https:\/\/www.g2.com\/products\/simcenter-star-ccm\/widgets\/stars?color=gray&amp;type=read\" \/><\/a><script>(function(a,b,c,d){window.fetch(\"https:\/\/www.g2.com\/products\/simcenter-star-ccm\/rating_schema.json\").then(e=>e.json()).then(f=>{c=a.createElement(b);c.type=\"application\/ld+json\";c.text=JSON.stringify(f);d=a.getElementsByTagName(b)[0];d.parentNode.insertBefore(c,d);});})(document,\"script\");<\/script>\n","protected":false},"excerpt":{"rendered":"<p>Membrane separation for carbon capture and beyond Membranes play key roles in a wide range of technologies, from water treatment&#8230;<\/p>\n","protected":false},"author":93104,"featured_media":70167,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"spanish_translation":"","french_translation":"","german_translation":"","italian_translation":"","polish_translation":"","japanese_translation":"","chinese_translation":"","footnotes":""},"categories":[1],"tags":[63733,10827,63763,19767,82,64011,64013,64007,64010,64009,64008,64012,63709,10819],"industry":[],"product":[18187,513],"coauthors":[63728],"class_list":["post-70147","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-carbon-capture","tag-cfd","tag-computational-chemistry","tag-computational-fluid-dynamics","tag-digital-twin","tag-material-properties","tag-membrane","tag-membrane-simulation","tag-pim-1","tag-polymer-of-intrinsic-microporosity","tag-polymers","tag-separation-processes","tag-simcenter-culgi","tag-simcenter-star-ccm","product-simcenter-culgi","product-simcenter-star-ccm"],"featured_image_url":"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2025\/11\/Picture3-1.png","_links":{"self":[{"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts\/70147","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/users\/93104"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/comments?post=70147"}],"version-history":[{"count":5,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts\/70147\/revisions"}],"predecessor-version":[{"id":73590,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts\/70147\/revisions\/73590"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/media\/70167"}],"wp:attachment":[{"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/media?parent=70147"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/categories?post=70147"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/tags?post=70147"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/industry?post=70147"},{"taxonomy":"product","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/product?post=70147"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/coauthors?post=70147"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}