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

Authors

  • Mónika Varga

DOI:

https://doi.org/10.33927/hjic-2022-09

Keywords:

plant model, reduced complexity, stoichiometric processes, process network, supply/demand logistics, natural self-control

Abstract

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 the
underlying 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.

Author Biography

Mónika Varga

Hungarian University of Agriculture and Life Sciences, Kaposvár Campus, Guba Sándor u. 40, Kaposvár, 7400, HUNGARY

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Published

2022-09-27

How to Cite

Varga, M. (2022). Developing Plant Models of Reduced Complexity by Chemical Process Engineering Way of Thinking. Hungarian Journal of Industry and Chemistry, 50(1), 57–65. https://doi.org/10.33927/hjic-2022-09