DEVELOPING PLANT MODELS OF REDUCED COMPLEXITY BY CHEMICAL PROCESS ENGINEERING WAY OF THINKING

被引:1
作者
Varga, Monika [1 ]
机构
[1] Hungarian Univ Agr & Life Sci, Kaposvar Campus,Guba Sandor u 40, H-7400 Kaposvar, Hungary
来源
HUNGARIAN JOURNAL OF INDUSTRY AND CHEMISTRY | 2022年 / 50卷 / 01期
关键词
plant model; reduced complexity; stoichiometric processes; process network; supply; demand logistics; natural self-control; SIMULATION; EVOLUTION; GENERATION; NETWORK; GROWTH; WHEAT; YIELD; WATER; STICS;
D O I
10.33927/hjic-2022-09
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
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 carbon -dioxide 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 of 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.
引用
收藏
页码:57 / 65
页数:9
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