The FIRES project: Experimental study of thermal runaway due to agitation problems during toluene nitration

Zaldı́var, J.M.; Hernández, H.; Nieman, H.; Molga, Eugeniusz; Bassani, C.

doi:10.1016/s0950-4230(05)80006-3

Cited by 20 publications

(21 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this work, and in order to compare with a traditional control scheme, we have used a two proportional controller loops scheme where the control of reactor temperature is accomplished by the master controller, whereas the reactor jacket temperature is controlled using a slave controller. This configuration is typical of reaction calorimeters [16] and it has been used in pilot plant reactors [17]. In this case, it is possible to write [7]:…”

Section: Batch Reactorsmentioning

confidence: 99%

Time-Step Volume-Preserving Control of Chemical Reactors

Comenges¹,

Strozzi²

2007

TOCENGJ

View full text Add to dashboard Cite

show abstract

Section: Batch Reactorsmentioning

confidence: 99%

Time-Step Volume-Preserving Control of Chemical Reactors

Comenges¹,

Strozzi²

2007

TOCENGJ

View full text Add to dashboard Cite

show abstract

“…The facility for investigation runaway events safely (FIRES) reactor (Herna´ndez and Zaldı´var, 1990;Zaldı´var et al, 1993) is a 100 l stainless-steel, glass-lined pilot reactor which is equipped with a standard cooling/ heating jacket and is provided with condensers, to allow the study of reactions under reflux conditions.…”

Section: Reactor Descriptionmentioning

confidence: 99%

PNNARMA model: an alternative to phenomenological models in chemical reactors

Galván¹,

Isasi²,

Zaldı́var³

2001

Engineering Applications of Artificial Intelligence

View full text Add to dashboard Cite

This paper is focused on the development of non linear neural models able to provide appropriate predictions when acting as process simulators. Parallel identification models can be used for this purpose. However, in this work it is shown that since the parameters of parallel identification models are estimated using multilayer feed forward networks, the approximation of dynamic systems could be not suitable. The solution proposed in this work consists of building up parallel models using a particular recurrent neural network. This network allows to identify the parameter sets of the parallel model in order to generate process simulators. Hence, it is possible to guarantee better dynamic predictions. The dynamic behaviour of the heat transfer fluid temperature in a jacketed chemical reactor has been selected as a case study. The results suggest that parallel models based on the recurrent neural network proposed in this work can be seen as an alternative to phenomenological models for simulating the dynamic behaviour of the heating/cooling circuits. #

show abstract

“…The FIRES (Facility for Investigation Runaway Events Safely) reactor [26,27] is a 100-1 stainless steel, glass-lined pilot reactor which is equipped with a standard cooling/heating jacket and is provided with condensers, to allow the study of reactions under reflux conditions. The overaIl experimental set-up is presented in Fig.…”

Section: Reactor and Heating / Cooling Circuits Descriptionmentioning

confidence: 99%

“…Denoting yp(k) as the output of this paral1e1 model, it can be written as, (27) The parameters of this neural models are fixed to the series-parallel model set of weights, Wj', Eq. (26).…”

Section: Y(k -Ny)mentioning

confidence: 99%

Application of recurrent neural networks in batch reactors

Galván

Zaldı́var

1997

Chemical Engineering and Processing: Process Intensification

View full text Add to dashboard Cite

bstractThis paper is focused on the development of nonlinear models predictions when acting as process simulators. The dynamic behaviour of the heat transf chemical reactor has been selected as a case study. Different structures of NARMA (Non studied. The experimental results have allowed to carry out a comparison between the first-principles model. The best neural results are obtained using a parallel model structure b architecture, which guarantees better dynamic approximations than currently employed neur parallel models built up with recurrent networks can be seen as an altemative to phenomen dynamic behaviour of the heating/cooling circuits which change from batch installation to i S.A.

show abstract

The FIRES project: Experimental study of thermal runaway due to agitation problems during toluene nitration

Cited by 20 publications

References 15 publications

Time-Step Volume-Preserving Control of Chemical Reactors

Time-Step Volume-Preserving Control of Chemical Reactors

PNNARMA model: an alternative to phenomenological models in chemical reactors

Application of recurrent neural networks in batch reactors

Contact Info

Product

Resources

About