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公开(公告)号：KR101527453B1
公开(公告)日：2015-06-11
申请号：KR1020100136100
申请日：2010-12-27
Applicant: 재단법인 포항산업과학연구원
CPC classification number: Y02P20/152
Abstract: 본발명은암모니아와화학반응으로결합하는금속염을이용하여이산화탄소를포집하는암모니아의슬립을억제하는방법에관한것이다. 본발명의일 견지에의하면, 혼합가스내에포함된이산화탄소를포집하는암모니아수에금속염을첨가하는암모니아의슬립을억제하는방법이제공된다. 혼합가스내에포함된이산화탄소를포집하는암모니아수에암모니아와복합체를형성하는금속염을첨가함으로써, 암모니아와금속염의복합체형성하여암모니아의분압(증기압)이낮아지고따라서, 암모니아의휘발에의한손실(슬립)이억제및/또는최소화된다. 암모니아의슬립이억제및/또는최소화됨에따라정제되는기체내의암모니아농도가또한최소화되고회수되는이산화탄소의순도가높아진다. 또한, 암모니아의슬립이억제되므로, 종래암모니아슬립을방지하기위해사용되던세정수의양 및암모니아수의보충량이현저하게감소되므로이산화탄소회수및 포집공정에소요되는전력사용량등의에너지가감소되고공정효율이개선된다.
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公开(公告)号：KR101107301B1
公开(公告)日：2012-01-20
申请号：KR1020090134893
申请日：2009-12-30
Applicant: 재단법인 포항산업과학연구원
CPC classification number: Y02A50/2342 , Y02P20/152
Abstract: 회귀분석모델을 통한 이산화탄소 포집공정의 반응생성물 농도 예측방법이 제공된다.
상기 회귀분석모델을 통한 이산화탄소 포집공정의 반응생성물 농도 예측방법은, 온라인상에서 이산화탄소 포집공정을 통해 측정되는 상태변수를 변동변수로 설정하는 단계; 온라인상에서 이산화탄소 포집공정을 통해 상기 변동변수에 의해 얻어지는 반응생성물의 농도를 목표변수로 설정하는 단계; 상기 변동변수와 상기 목표변수를 이용하여 회귀분석모델을 모델링하는 단계; 및 상기 회귀분석모델을 통하여 상기 변동변수의 변화에 따른 반응생성물의 농도를 예측하는 단계;를 포함하여 구성된다.
회귀분석모델, 이산화탄소, 반응생성물, 변동변수, 목표변수-
公开(公告)号：KR101072437B1
公开(公告)日：2011-10-12
申请号：KR1020090134896
申请日：2009-12-30
Applicant: 재단법인 포항산업과학연구원
IPC: G05D24/00
Abstract: 상기다변량통계분석기법을통한반응생성물의농도제어방법은, 온라인상에서이산화탄소포집공정을통해측정되는변동변수에의해목표변수인반응생성물의농도를예측하는단계; 다변량통계분석기법을통하여상기반응생성물의농도를예측하는단계에서의변동변수와반응생성물의농도를변동변수로설정하여목표변수인이산화탄소의제거율및 회수율을예측하는단계; 및예측된이산화탄소흡수용액의보충시기및 보충량으로부터상기이산화탄소의제거율및 회수율을제어하는단계;를포함하여구성된다.
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Patent Agency Ranking
公开(公告)号：KR1020110078159A
公开(公告)日：2011-07-07
申请号：KR1020090134896
申请日：2009-12-30
Applicant: 재단법인 포항산업과학연구원
IPC: G05D24/00
CPC classification number: G05D21/02
Abstract: PURPOSE: A method for controlling the concentration of reaction products by a multivariate statistical analysis technique is provided to control concentration of reaction products by a multivariate statistical analysis technique online through a carbon dioxide collecting process. CONSTITUTION: The concentration of reaction products is predicted wherein the concentration of reaction products is a target variable(S100). Carbon dioxide is collected. The rates of eliminating and collecting carbon dioxide are predicted(S200). The concentration of reaction products is set as a variable while the concentration of reaction products is predicted using a multivariate statistical analysis technique. The concentration of reaction products is controlled by the rates eliminating and collecting carbon dioxide.
Abstract translation: 目的：通过多变量统计分析技术控制反应产物浓度的方法是通过多因素统计分析技术通过二氧化碳收集过程在线控制反应产物的浓度。 构成：预测反应产物的浓度为反应产物的浓度为目标值（S100）。 收集二氧化碳。 预测消除和收集二氧化碳的比例（S200）。 将反应产物的浓度设定为变量，同时使用多元统计分析技术预测反应产物的浓度。 反应产物的浓度由消除和收集二氧化碳的速率控制。
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公开(公告)号：KR1020120074139A
公开(公告)日：2012-07-05
申请号：KR1020100136100
申请日：2010-12-27
Applicant: 재단법인 포항산업과학연구원
CPC classification number: Y02P20/152 , B01D53/62 , B01D53/14 , B01D53/78 , C01B32/50
Abstract: PURPOSE: A method for suppressing the slip of ammonia in ammonia water is provided to increase the purity of carbon dioxide and to minimize the concentration of the ammonia in refined gas. CONSTITUTION: A method for suppressing the slip of ammonia in ammonia water includes a process which adds metal salt into the ammonia water for collecting carbon dioxide from mixed gas. The metal salt is at least one selected from a group including copper salt and cobalt salt. The copper salt is at least one selected from a group including Cu(OH)_2, CuCl_2, and CuSO_4. The cobalt salt is at least one selected from a group including CoCl_2 and CoO(OH).
Abstract translation: 目的：提供一种在氨水中抑制氨的滑移的方法，以提高二氧化碳的纯度，并使精炼气体中氨的浓度最小化。 构成：用于抑制氨水中氨的滑移的方法包括将金属盐添加到氨水中以从混合气体中收集二氧化碳的方法。 金属盐是选自包括铜盐和钴盐的组中的至少一种。 铜盐是选自包括Cu（OH）2，CuCl 2和CuSO 4的基团中的至少一种。 钴盐是选自包括CoCl 2和CoO（OH）的组中的至少一种。
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6.发明公开
公开(公告)号：KR1020120128787A
公开(公告)日：2012-11-28
申请号：KR1020110046647
申请日：2011-05-18
Applicant: 재단법인 포항산업과학연구원
CPC classification number: Y02A50/2342 , Y02C10/04 , G06F19/702 , B01D53/62 , B01J10/00 , B01J19/00
Abstract: PURPOSE: A method for predicting the concentration of a reaction product from a carbon dioxide collecting process and a collecting reactor are provided to optimize the collecting process by obtaining the optimal model of the collecting process from various models on the web. CONSTITUTION: A method for predicting the concentration of a reaction product from a carbon dioxide collecting process includes the following steps: a state variable measured through a carbon dioxide collecting process is set as a varying variable(S100); the concentration of a reaction product from the collecting process obtained using the varying variable is set as a target variable(S200); a model is generated to predict the target variable(S300); and the concentration of the reaction product according to the variation of the varying variable is predicted by the model(S400). The state variable is at least one selected from the concentration of carbon dioxide, the pH value, the temperature, and the electric conductivity of ammonia water containing absorbed carbon dioxide. The reaction product is one selected from a group including hydrogen ion, hydroxide ion, bicarbonate ion, carbonate ion, carbamate ion, ammonium bicarbonate, ammonium carbamate, sulfate ion, and nitrate ion. [Reference numerals] (AA) Start; (BB) End; (S100) Setting a state variable measured through a carbon dioxide collecting process through web as a varying variable; (S200) Setting the concentration of a reaction product from the carbon dioxide collecting process obtained using the varying variable as a target variable; (S300) Generating a model for predicting the target variable; (S400) Predicting the concentration of the reaction product according to the varying variable by the model
Abstract translation: 目的：提供一种预测来自二氧化碳收集过程和收集反应器的反应产物浓度的方法，以通过从网上的各种模型获得收集过程的最佳模型来优化收集过程。 构成：用于预测来自二氧化碳收集过程的反应产物浓度的方法包括以下步骤：将通过二氧化碳收集过程测量的状态变量设置为变化变量（S100）; 将来自使用变化变量获得的收集处理的反应产物的浓度设定为目标变量（S200）。 生成模型来预测目标变量（S300）; 并且通过模型预测根据变化变量的变化的反应产物的浓度（S400）。 状态变量是选自二氧化碳浓度，pH值，温度和含有吸收的二氧化碳的氨水的电导率中的至少一种。 反应产物是选自氢离子，氢氧根离子，碳酸根离子，碳酸根离子，氨基甲酸根离子，碳酸氢铵，氨基甲酸铵，硫酸根离子和硝酸根离子组成的组。 （附图标记）（AA）开始; （BB）结束; （S100）将通过二氧化碳收集过程测量的状态变量设置为变化的变量; （S200）将使用变化变量获得的二氧化碳收集过程的反应产物浓度设定为目标值; （S300）生成用于预测目标变量的模型; （S400）通过模型根据变化的变量预测反应产物的浓度
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公开(公告)号：KR1020110078156A
公开(公告)日：2011-07-07
申请号：KR1020090134893
申请日：2009-12-30
Applicant: 재단법인 포항산업과학연구원
CPC classification number: Y02A50/2342 , Y02P20/152 , B01D53/30 , B01D53/62 , C01B32/50
Abstract: PURPOSE: A method for predicting the concentration of reaction products in a carbon dioxide trapping process based on a regression analysis model without the omission of state variables measured through the carbon dioxide trapping process by implementing an online monitoring process in real time. CONSTITUTION: A state variable is measured through online by a carbon dioxide trapping process and is set as a varying variable(S100). The concentration of reaction products is obtained based on the varying variable through the carbon dioxide trapping process and is set online as a target variable(S200). A regression analysis model is modeled in order to predict the target variable(S300). The concentration of the reaction products is predicted through the regression analysis model based on the variation of the varying variable(S400).
Abstract translation: 目的：一种基于回归分析模型预测二氧化碳捕集过程中反应产物浓度的方法，通过实时在线监测过程，通过二氧化碳捕获过程测量的状态变量不被忽略。 构成：通过二氧化碳捕集过程在线测量状态变量，并将其设置为变量变量（S100）。 反应产物的浓度基于通过二氧化碳捕获过程的变化变量获得，并且在线设置为目标变量（S200）。 建立回归分析模型，以预测目标变量（S300）。 通过基于变化变量变化的回归分析模型预测反应产物的浓度（S400）。
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8.发明授权
公开(公告)号：KR101254978B1
公开(公告)日：2013-04-17
申请号：KR1020110046647
申请日：2011-05-18
Applicant: 재단법인 포항산업과학연구원
CPC classification number: Y02A50/2342 , Y02C10/04
Abstract: 모델식을 이용한 이산화탄소 포집공정의 반응생성물 농도 예측방법 및 이를 이용한 포집 반응기가 제공된다. 포집 반응기는, 암모니아 수용액이 채워진 교반조와, 교반조로 유입되는 이산화탄소를 암모니아 수용액과 교반하는 교반기와, 이산화탄소 포집 공정 동안 교반된 암모니아 수용액로부터 측정될 수 있는 상태변수를 제공하는 센서부와, 이산화탄소 포집 공정 동안 상태변수에 의해 얻어지는 반응생성물의 농도를 예측하기 위한 모델식을 구성하고, 구성된 모델식을 통하여 상태변수의 변화에 따른 반응생성물의 농도를 예측하는 예측 수단을 포함하며, 반응생성물은, 수소이온, 수산화이온, 중탄산이온, 탄산이온, 카바메이트이온, 중탄산암모늄염, 탄산암모늄염, 카바메이트암모늄염, 황산염이온 및 질산염이온 중에서 어느 하나를 포함할 수 있다.
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