Methanol synthesis from renewable H2 and captured CO2 from S-Graz cycle–Energy, exergy, exergoeconomic and exergoenvironmental (4E) analysis
Thermodynamic, economic and environmental analyses of a combined CO 2 capturing
system, including, geothermal driven dual fluid organic Rankine cycle (ORC), proton …
system, including, geothermal driven dual fluid organic Rankine cycle (ORC), proton …
Thermodynamic assessment of zero-emission power, hydrogen and methanol production using captured CO2 from S-Graz oxy-fuel cycle and renewable hydrogen
Thermodynamic analysis of a novel combined system, including geothermal driven dual
fluid organic Rankine cycle (ORC), S-Graz cycle, proton exchange membrane electrolyzer …
fluid organic Rankine cycle (ORC), S-Graz cycle, proton exchange membrane electrolyzer …
[PDF][PDF] Nonlinear process modeling of “shell” heavy oil fractionator using neural network
The identification of intrinsic characteristics on distillation column via dynamic modeling has
been becoming indispensable in order to fulfill the increasingly stringent product quality and …
been becoming indispensable in order to fulfill the increasingly stringent product quality and …
Dynamic simulation based fault detection and diagnosis for distillation column
W Tian, Q Guo, S Sun - Korean Journal of Chemical Engineering, 2012 - Springer
The model-based fault diagnosis approach is characterized by a powerful process
supervision capability with a priori knowledge about the system under consideration …
supervision capability with a priori knowledge about the system under consideration …
Mathematical and artificial neural network modeling of production of ethylene from ethane pyrolysis in a tubular reactor
MS Izadkhah, A Farzi - Petroleum Science and Technology, 2018 - Taylor & Francis
Pyrolysis of lower alkanes is among the main industrial methods for the production of light
olefins. In this paper, an artificial neural network (ANN) model was developed in order to …
olefins. In this paper, an artificial neural network (ANN) model was developed in order to …
[PDF][PDF] On-line nonlinear dynamic data reconciliation using extended kalman filtering: application to a distillation column and a CSTR
A Farzi, A Mehrabani-Zeinabad… - Iran. J. Chem. Chem …, 2009 - academia.edu
Extended Kalman Filtering (EKF) is a nonlinear dynamic data reconciliation (NDDR)
method. One of its main advantages is its suitability for on-line applications. This paper …
method. One of its main advantages is its suitability for on-line applications. This paper …
[PDF][PDF] НЕПАРАМЕТРИЧЕСКИЕ МЕТОДЫ РЕШЕНИЯ ЗАДАЧИ СОГЛАСОВАНИЯ ДАННЫХ
ВА Гаранин, КК Семенов - pdmi.ras.ru
Согласование результатов совместных измерений зависимых измеряемых величин–
широко применяемая процедура в области обработки данных, выполняемая в …
широко применяемая процедура в области обработки данных, выполняемая в …
[PDF][PDF] Reconciliação de dados em colunas de destilação utilizando o simulador EMSO
DQF MENEZES, I Sarruf, FC PEIXOTO… - XX Congresso …, 2014 - researchgate.net
Este trabalho apresenta um estudo sobre reconciliação de dados em estado estacionário
em colunas de destilação, com base em dois trabalhos publicados na literatura científica. É …
em colunas de destilação, com base em dois trabalhos publicados na literatura científica. É …
[PDF][PDF] Data Reconciliation by Using Artificial Neural Networks
R Bozorgmehry - sid.ir
Abstract Artificial Neural Networks (ANNs) with advantages such as learning and estimation
capabilities are widely used in various fields of chemical engineering such as process …
capabilities are widely used in various fields of chemical engineering such as process …