Resource optimisation in aquaponics facility via process monitoring and graph-theoretical approach

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F22%3APU145116" target="_blank" >RIV/00216305:26210/22:PU145116 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S2588913322000187" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2588913322000187</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.crcon.2022.04.003" target="_blank" >10.1016/j.crcon.2022.04.003</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Resource optimisation in aquaponics facility via process monitoring and graph-theoretical approach

Popis výsledku v původním jazyce

Energy efficiency and economic viability are the often-quoted issues in aquaponic farming. This work aims to (i) identify process technologies and technical measures which would enhance the profitability of aquaponics business while conserving energy and other resources, and (ii) to validate the determined optimal measures on the testing aquaponics farm. The process network synthesis technique was used to search for an optimal process pathway while the image processing technique was applied to automatically monitor the growth rate of produce since it is the main revenue stream in aquaponics. With the aid of P-graph method, the optimal feasible structure has 9 times higher annual net income than that of the existing process. This optimal solution includes the integration of electrical heat pump, biogas system, and utilizes black solider fly (BSF) facility to produce fish feed. Additional light energy savings were achieved by practical installation of reflective foils which improved 16.88% of Photosynthetic photon flux density (PPFD) on growth beds. These measures can help the aquaponics farms to become more competitive and to decrease their ecological footprint.

Název v anglickém jazyce

Resource optimisation in aquaponics facility via process monitoring and graph-theoretical approach

Popis výsledku anglicky

Energy efficiency and economic viability are the often-quoted issues in aquaponic farming. This work aims to (i) identify process technologies and technical measures which would enhance the profitability of aquaponics business while conserving energy and other resources, and (ii) to validate the determined optimal measures on the testing aquaponics farm. The process network synthesis technique was used to search for an optimal process pathway while the image processing technique was applied to automatically monitor the growth rate of produce since it is the main revenue stream in aquaponics. With the aid of P-graph method, the optimal feasible structure has 9 times higher annual net income than that of the existing process. This optimal solution includes the integration of electrical heat pump, biogas system, and utilizes black solider fly (BSF) facility to produce fish feed. Additional light energy savings were achieved by practical installation of reflective foils which improved 16.88% of Photosynthetic photon flux density (PPFD) on growth beds. These measures can help the aquaponics farms to become more competitive and to decrease their ecological footprint.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

20901 - Industrial biotechnology

Projekt

<a href="/cs/project/EF16_026%2F0008413" target="_blank" >EF16_026/0008413: Strategické partnerství pro environmentální technologie a produkci energie</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Carbon Resources Conversion

ISSN

2588-9133

e-ISSN

—

Svazek periodika

5

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

CN - Čínská lidová republika

Počet stran výsledku

15

Strana od-do

255-270

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85131683339