Modelling and Simulating Energy Conversion Processes using Modelica

Tomas-Aparicio, E.; Nordlander, Eva; Dahlquist, Erik

doi:10.3182/20120215-3-at-3016.00172

Cited by 3 publications

(1 citation statement)

References 14 publications

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“…9,19,20 The language has also been used to implement singular digestion models. 21–24 However, there is no package designed specifically for digestion, and fundamentally, that allows users to experiment with different structured models and assumptions.…”

Section: Introductionmentioning

confidence: 99%

The structured modeling framework of anaerobic digestion in Modelica: development of ADMLib package

Abdalah¹

2021

SIMULATION

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This paper presents the development of ADMLib, a new high-productivity and efficient Modelica package to model and simulate anaerobic digestion systems inside the structured modeling framework. Library components were organized into subpackages to encompass growth kinetics, non-biochemical reaction kinetics, acid-base, heat transfer, and inhibition processes, as well as the characteristics of substances and gas phase. A validation of the dynamic behavior response was performed where the implemented functions were used to simulate different bibliographic models. A brief performance analysis was carried out, in order to evaluate the component-based approach of ADMLib against the traditional differential algebraic equation (DAE) systems. The implementation testing demonstrated that the developed package was reliable, usable, and performant.

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Section: Introductionmentioning

confidence: 99%

The structured modeling framework of anaerobic digestion in Modelica: development of ADMLib package

Abdalah¹

2021

SIMULATION

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Review on dynamic process modeling of gasification based biorefineries and bio-based heat & power plants

Ατσόνιος

Nesiadis

Detsios

et al. 2020

Fuel Processing Technology

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An experimentally validated model for a multivariate drying industrial process

Yahya,

Lassoued,

Aboud

et al. 2024

Transactions of the Institute of Measurement and Control

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Modeling of industrial production processes is becoming increasingly challenging due to their large number of variables. These variables often are highly correlated and introduce nonlinear and complex features. In this paper, we are interested to model an industrial dicalcium phosphate (DCP) drying process. Attempting to solve this issue is motivated by the need to improve several production conditions, such as minimizing the consumption of natural gas and reducing the pollution rate. In fact, applying an advanced control approach requires a dynamic model for the monitored plant. This work proposes a multivariable mathematical model for the DCP dryer within the Tunisian Chemical Group factory. A steady-state model has been reproduced using Aspen Plus software tool to implement the different functionalities of the system as well as involved reactions. Indeed, since the main operation in the drying process is the combustion reaction of the liquified petroleum gas (LPG) in the furnace that produce the necessary heat to reach a target value of temperature at the dryer outlet, we focus on determining a dynamic model for the furnace. To do so, we have proposed two approaches. The first is based on the Aspen dynamic tool. The second is based on the left matrix fraction description (LMFD) identification approach. The obtained results have been successfully validated using real measurements.

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Modelling and Simulating Energy Conversion Processes using Modelica

Cited by 3 publications

References 14 publications

The structured modeling framework of anaerobic digestion in Modelica: development of ADMLib package

The structured modeling framework of anaerobic digestion in Modelica: development of ADMLib package

Review on dynamic process modeling of gasification based biorefineries and bio-based heat & power plants

An experimentally validated model for a multivariate drying industrial process

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