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DTSTART:20261022T071500Z
DTEND:20261022T080000Z
SUMMARY:CERE Seminar by George Tasios - Prediction of thermodynamic properties related to CO2 injection and storage
DESCRIPTION:<div><span class="s2" style="line-height: normal;"><strong>Abstract </strong></span></div>\n<div><span class="s2" style="line-height: normal;"><strong>&nbsp;</strong></span></div>\n<div><span class="s2" style="line-height: normal;"><strong></strong></span><span>The application of CO</span><span class="s3" style="line-height: normal;">2 </span><span>injection and storage technology relies on a thorough understanding of the underlying physical processes.</span></div>\n<div><span>&nbsp;</span></div>\n<div><span>In the absence of extensive experimental databases, accurate thermodynamic models play a crucial role in the prediction of properties required for the design and operation of injection-storage systems.</span></div>\n<div><span>&nbsp;</span></div>\n<div><span> Real CO</span><span class="s3" style="line-height: normal;">2 </span><span>injection and storage applications encounter the presence of several impurities, which increase the challenge of accurately predicting related properties.</span></div>\n<div><span>&nbsp;</span></div>\n<div><span>&nbsp;</span>This work explores the prediction accuracy of CO<span class="s3" style="line-height: normal;">2 </span>binary mixtures, focusing on properties of practical importance, including thermodynamic properties like density, speed of sound, and transport properties such as viscosities and thermal conductivities.</div>\n<div>&nbsp;</div>\n<div>Several widely used modeling approaches are applied to the available experimental data, enabling a systematic comparison of their predictive performance.</div>\n<div>&nbsp;</div>\n<div>In addition, the multiparameter Helmholtz energy-based equation of state EOSCG21, developed primarily for CO₂-related applications, is presented and evaluated.<span class="Apple-converted-space"></span></div>\n<div><span class="Apple-converted-space">&nbsp;</span></div>\n<div><span class="Apple-converted-space">&nbsp;</span>The study highlights the current state of property prediction for CO₂ mixtures and identifies the areas where experimental data remain limited.</div>\n<div>&nbsp;</div>\n<div>The results provide insight into the strengths and limitations of existing modeling approaches and help target areas that could enhance the modeling of CO<span class="s3" style="line-height: normal;">2 </span>injection and storage systems.<span class="Apple-converted-space"></span></div>
X-ALT-DESC;FMTTYPE=text/html:<div><span class="s2" style="line-height: normal;"><strong>Abstract </strong></span></div>\n<div><span class="s2" style="line-height: normal;"><strong>&nbsp;</strong></span></div>\n<div><span class="s2" style="line-height: normal;"><strong></strong></span><span>The application of CO</span><span class="s3" style="line-height: normal;">2 </span><span>injection and storage technology relies on a thorough understanding of the underlying physical processes.</span></div>\n<div><span>&nbsp;</span></div>\n<div><span>In the absence of extensive experimental databases, accurate thermodynamic models play a crucial role in the prediction of properties required for the design and operation of injection-storage systems.</span></div>\n<div><span>&nbsp;</span></div>\n<div><span> Real CO</span><span class="s3" style="line-height: normal;">2 </span><span>injection and storage applications encounter the presence of several impurities, which increase the challenge of accurately predicting related properties.</span></div>\n<div><span>&nbsp;</span></div>\n<div><span>&nbsp;</span>This work explores the prediction accuracy of CO<span class="s3" style="line-height: normal;">2 </span>binary mixtures, focusing on properties of practical importance, including thermodynamic properties like density, speed of sound, and transport properties such as viscosities and thermal conductivities.</div>\n<div>&nbsp;</div>\n<div>Several widely used modeling approaches are applied to the available experimental data, enabling a systematic comparison of their predictive performance.</div>\n<div>&nbsp;</div>\n<div>In addition, the multiparameter Helmholtz energy-based equation of state EOSCG21, developed primarily for CO₂-related applications, is presented and evaluated.<span class="Apple-converted-space"></span></div>\n<div><span class="Apple-converted-space">&nbsp;</span></div>\n<div><span class="Apple-converted-space">&nbsp;</span>The study highlights the current state of property prediction for CO₂ mixtures and identifies the areas where experimental data remain limited.</div>\n<div>&nbsp;</div>\n<div>The results provide insight into the strengths and limitations of existing modeling approaches and help target areas that could enhance the modeling of CO<span class="s3" style="line-height: normal;">2 </span>injection and storage systems.<span class="Apple-converted-space"></span></div>

URL:https://www.cere.dtu.dk/da/Calendar/2026/10/CERE-Seminar-by-George-Tasios
DTSTAMP:20261008T041300Z
UID:{24AB4827-9E23-4946-AE77-1ED797931B0B}-20261022T071500Z-20261022T071500Z
LOCATION: Building 229, Room 003
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