革新的でコラボラティブ、かつ連携した新規プログラムの管理
Heavy Equipment
Construction, mining, and agricultural heavy equipment manufacturers striving for superior performance
Explore Industry中堅・中小企業
Remove barriers and grow while maintaining your bottom line. We’re democratizing the most robust digital twins for your small and medium businesses.
Explore IndustryOptimizing cooling pond configurations in a phosphoric acid plant with CFD simulation
Optimizing cooling pond configurations in a phosphoric acid plant with CFD simulation
Learn how simulation and design exploration tools from Siemens PLM software were used to optimize cooling pond configurations and energy management in the wastewater treatment process of a phosphoric acid plant.
Phosphate fertilizer plants are installations that evolve over time, which can make their design challenging. During the so called “wet process” taking place in the chemical plant, phosphate is mixed with sulphuric acid to produce phosphoric acid. Phosphogypsum is a by-product of this reaction, and after being mixed with water, it is converted into a slurry which is added to an existing stack containing previously dried gypsum. Over the years, the gypsum stack (“gypstack”) grows considerably, encroaching upon existing cooling ponds. Besides the loss of heat exchange surface, the rising of these stacks can significantly modify the environment near the plant, affecting the airflow. This changes the efficiency of the cooling pond by mitigating the convective and evaporative heat fluxes. Consequently, it becomes necessary to improve the energy management of the process and therefore find new heat exchange potentials.
In this webinar, Dr. Sylvain Devynck of TechnipFMC will demonstrate the role that Computational Fluid Dynamics (CFD) simulation plays in achieving these goals. By developing a CFD model of the cooling ponds, taking into account the existing or predicted gypstacks, the project manager can assess the effect of different scenarios on the plant process efficiency. The combined effect of different parameters such as meteorological conditions, pond geometry, terrain elevation and process operating conditions can be estimated, providing a comprehensive view of the possible solutions, in order to determine the most efficient pond configuration.
ユーザー (実際にウェブサイトを開くとユーザーのお名前に置き換わる) 様
お客様の以下の情報についてお知らせください。
ページの送信でエラーが発生しました。もう一度やり直してください。
シーメンスデジタルインダストリーズソフトウェアのメールに初めて登録された方は、登録直後に送られる自動メールの中にある「電子メール・アドレスの確認」ボタンをクリックしてください。
ユーザー (実際にウェブサイトを開くとユーザーのお名前に置き換わる) 様
このウェビナーには、90日間アクセスできます。視聴するには、以下をクリックしてください。
Learn how simulation and design exploration tools from Siemens PLM software were used to optimize cooling pond configurations and energy management in the wastewater treatment process of a phosphoric acid plant.
Phosphate fertilizer plants are installations that evolve over time, which can make their design challenging. During the so called “wet process” taking place in the chemical plant, phosphate is mixed with sulphuric acid to produce phosphoric acid. Phosphogypsum is a by-product of this reaction, and after being mixed with water, it is converted into a slurry which is added to an existing stack containing previously dried gypsum. Over the years, the gypsum stack (“gypstack”) grows considerably, encroaching upon existing cooling ponds. Besides the loss of heat exchange surface, the rising of these stacks can significantly modify the environment near the plant, affecting the airflow. This changes the efficiency of the cooling pond by mitigating the convective and evaporative heat fluxes. Consequently, it becomes necessary to improve the energy management of the process and therefore find new heat exchange potentials.
In this webinar, Dr. Sylvain Devynck of TechnipFMC will demonstrate the role that Computational Fluid Dynamics (CFD) simulation plays in achieving these goals. By developing a CFD model of the cooling ponds, taking into account the existing or predicted gypstacks, the project manager can assess the effect of different scenarios on the plant process efficiency. The combined effect of different parameters such as meteorological conditions, pond geometry, terrain elevation and process operating conditions can be estimated, providing a comprehensive view of the possible solutions, in order to determine the most efficient pond configuration.