Biosystem models, generated from a complex rule/reaction/influence network and from two functionality prototypes

Varga, Mónika; Prokop, Andreas; Csukás, Béla

doi:10.1016/j.biosystems.2016.12.005

Cited by 13 publications

(2 citation statements)

References 31 publications

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“…Programmable Process Structures (PPS, [23][24][25][26]) have developed from its antecedent, that is, Direct Computer Mapping [27]. PPS offers automatic generation of easily extensible, connectible and combined dynamic balanceand rule-based models for the analysis, planning and operation of complex process systems, even beyond industries that apply CIM (Chemical Integrated Manufacturing).…”

Section: Non-conventional Methodology Of Programmable Process Structuresmentioning

confidence: 99%

Developing Plant Models of Reduced Complexity by Chemical Process Engineering Way of Thinking

Varga¹

2022

Hung. J. Ind. Chem.

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Given the increasing complexity of agricultural systems within the broader context of the bio-based circular economy, simplified and unified plant models are needed that represent the primary biomass production by solar-driven carbondioxide sequestration. Utilizing experiences from process systems engineering, which was originally inspired by chemical engineering, a suitable plant model is proposed. The structure of the model is generated from the process net of theunderlying state and transition elements. Two special-state elements are introduced for the short-term storage of the supplied biomass to be distributed and the uptake of nutrient-containing water, necessary for evapotranspiration and photosynthesis. The transition-oriented description of functionalities follows the essential causalities and balances of natural self-control. Implementation of the model is illustrated by a simple example.

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Section: Non-conventional Methodology Of Programmable Process Structuresmentioning

confidence: 99%

Developing Plant Models of Reduced Complexity by Chemical Process Engineering Way of Thinking

Varga¹

2022

Hung. J. Ind. Chem.

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“…By considering the aforementioned overview of challenges that computational model-supported HSC planning and operation face, a simple trial with our nonconventional approach was conducted. Accordingly, the methodology of Programmable Process Structures (PPS) [19,20] was applied for the simulation-based analysis of a fictitious but typical Hydrogen Supply Chain.…”

Section: Applied Modeling Method: Programmable Process Structuresmentioning

confidence: 99%

Programmable Process Structure Based Analysis of Hydrogen Supply Chains

Varga¹,

Azzaro‐Pantel²,

Flores-Perez³

et al. 2019

Hung. J. Ind. Chem.

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The planning and operation of Hydrogen Supply Chains (HSC) often require easily extensible, generic dynamic simulation tools. In this paper, the non-conventional modeling and simulation methodology of Programmable Process Structures is applied for the description of these process systems. Programmable Process Structures of HSC models are generated from the two general functional meta-prototypes of the method and from the description of the studied HSC network. The actual program prototypes of production, transformation, transportation, utilization and intermediate storage are copied from the meta-prototypes and filled with the locally executable declarative program code for the various classes of elements. The actual state and transition elements are parameterized and initialized according to their case-specific prototypes. The execution of the programmed HSC structures is solved by the general purpose kernel program. The application of methodology, developed in other fields, is illustrated by a fictitious, simplified HSC example. Analysis of this example model illustrates that the coordination of the hectically changing energy production of renewable resources with its seasonally and tendentiously changing demands is in need of dynamic simulation-based planning.

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Programmable Process Structures of Unified Elements for Model-Based Planning and Operation of Complex Agri-environmental Processes

Varga

Gyalog

Rásó

et al. 2022

Information and Communication Technologies for Agriculture—Theme III: Decision

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Biosystem models, generated from a complex rule/reaction/influence network and from two functionality prototypes

Cited by 13 publications

References 31 publications

Developing Plant Models of Reduced Complexity by Chemical Process Engineering Way of Thinking

Developing Plant Models of Reduced Complexity by Chemical Process Engineering Way of Thinking

Programmable Process Structure Based Analysis of Hydrogen Supply Chains

Programmable Process Structures of Unified Elements for Model-Based Planning and Operation of Complex Agri-environmental Processes

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