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

The result's identifiers

  • Result code in 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>

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    20901 - Industrial biotechnology

Result continuities

  • Project

    <a href="/en/project/EF16_026%2F0008413" target="_blank" >EF16_026/0008413: Strategic Partnership for Environmental Technologies and Energy Production</a><br>

  • Continuities

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

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Carbon Resources Conversion

  • ISSN

    2588-9133

  • e-ISSN

  • Volume of the periodical

    5

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    CN - CHINA

  • Number of pages

    15

  • Pages from-to

    255-270

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85131683339