A Monitoring, Modeling and Decision Support System (DSS) for a Microalgae Production Plant based on Internet of Things Structure
Open accessAbstract
Microalgae cultivation is an emerging and interesting field with an increasing market and with Great prospects for the future both in the food, pharmaceutical, cosmetic and energetic field as well as for other new applications. Microalgae are photosynthetic aquatic microorganism which growth is regulated in-primis by light, temperature, pH and nutrients availability. The monitoring and control of these parameters is crucial in Microalgae cultivation plants because it allows to increase the production and the quality of microalgae biomass feedstock and to prevent the critical conditions for the culture which can compromise the cultivation. In the present work, we present an affordable and easy to use application of Internet of Things (IoT) for the monitoring and control of a microalgae cultivation coupled with a biological modeling for Decision Support System (DSS) to the operator for managing a plant sited in Southern Italy.
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The development of prediction models that allow in-/online monitoring of substrates and products is fundamental for process control, enabling the possibility to take decisions and actions in real-time.
“Therefore, the development of prediction models that allow in‐/online monitoring of substrates and products is fundamental for process control, enabling the possibility to take decisions and actions in real‐time (Esposito et al., 2017).”
From Perspectives of fluorescence spectroscopy for online monitoring in microalgae industry (2022) · cites this paper as Esposito et al., 2017
The Introduction describes real-time monitoring of biomass concentration and growth parameters, while §§2.2–2.3 describe predictive simulations that help the operator choose control actions. But §2.1 lists sensors for temperature, irradiance, pH and biomass—not substrates—and the Additional information section says the DSS does not yet support decisions about nutrient supply. The claim's substrate-monitoring component is therefore unsupported. (LLM, conf=0.88)
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Research works printed but not linked: 14
- Mairet F, Bernard O, Masci P, Lacour T, Sciandra A. Modelling neutral lipid production by the microalga Isochrysis galbana under nitrogen limitation. Bioresource Technology 2011: 102(1):142-149.
- Esposito S, Botte V, Iudicone D, d'Alcala MR. Numerical analysis of cumulative impact of phytoplankton photoresponses to light variation on carbon assimilation. Journal of Theorethical Biology 2009: 261(3): 361-371.
- Vincenot CE, Giannino F, Rietkerk M, Moriya K, Mazzoleni S. Theoretical considerations on the combined use of System Dynamics and individual-based modeling in ecology. Ecological Modelling 2011: 222(1): 210-218
- Vincenot CE., Carteni F, Mazzoleni S, Rietkerk M, Giannino F. Spatial Self-Organization of Vegetation Subject to Climatic Stress-Insights from a System Dynamics-Individual-Based Hybrid Model. Frontiers in Plant Science 2016 7: 1664-462, doi: 10.3389/fpls.2016.00636 · DOI
- Vincenot, CE., Cartenì F., Bonanomi G., Mazzoleni S. and Giannino F. Plant-soil negative feedback explains vegetation dynamics and patterns at multiple scales. Oikos 2017. doi:10.1111/oik.04149 · DOI
- Mazzoleni S, Landi C, Cartenì F, de Alteriis E, Giannino F, Paciello L, Parascandola P. A novel process-based model of microbial growth: self-inhibition in Saccharomyces cerevisiae aerobic fed-batch cultures. Microbial Cell Factories 2015: 14(1): 109
- Mazzoleni S, Cartenì F, Bonanomi G, Senatore M, Termolino P, Giannino F, Incerti G, Rietkerk M, Lanzotti V, Chiusano ML . Inhibitory effects of extracellular self-DNA: a general biological process?. New Phytologist 2015: 206(1): 127-132
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- Mazzoleni S., Bonanomi G., Giannino F., Incerti G., Dekker SC, Rietkerk M. Modelling the effects of litter decomposition on tree diversity patterns. Ecological modelling 2010: 221(23), 2784-2792
- Cartenì F., Marasco A., Bonanomi G., Mazzoleni S., Rietkerk M., Giannino F. Negative plant soil feedback explaining ring formation in clonal plants. Journal of Theoretical Biology 2012: 313: 153-161.
- Marasco A., Iuorio A., Cartení F., Bonanomi G., Tartakovsky DM., Mazzoleni S., Giannino F. Vegetation pattern formation due to interactions between water availability and toxicity in plant-soil feedback. Bulletin of mathematical biology 2014: 76(11): 2866-2883.
- Cartenì F., Giannino F., Schweingruber FH., Mazzoleni S. Modelling the development and arrangement of the primary vascular structure in plants. Annals of botany 2014: 114(4): 619-627.
- Cuomo S, Michele PD, Piccialli F, Galletti A, Jung JE IoT-based collaborative reputation system for associating visitors and artworks in a cultural scenario. Expert Systems with Applications, 2017, 79:101-111
- Cuomo S, De Michele P, Galletti A, Piccialli F A Cultural Heritage Case Study of Visitor Experiences Shared on a Social Network. 2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, 3PGCIC 2015 7424624, 539-544
Cited by
Sorted by citations
Development of Smart Algae Pond System for Microalgae Biomass Production
Hermadi, I., Setiadianto, I. R., Al Zahran, D. F., Simbolon, M. N., Saefurahman, G., Wibawa, D. S., & Arkeman, Y. (2021) · IOP Conference Series Earth and Environmental Science · doi:10.1088/1755-1315/749/1/012068 · Cited by 32 · see citing works
Perspectives of fluorescence spectroscopy for online monitoring in microalgae industry
Sá, M., Ferrer‐Ledo, N., Gao, F., Bertinetto, C. G., Jansen, J., Crespo, J. G., Wijffels, R. H., Barbosa, M., & Galinha, C. F. (2022) · Microbial Biotechnology · doi:10.1111/1751-7915.14013 · Cited by 29 · see citing works
- Authors
- Esposito, S., Cafiero, A., Giannino, F., Mazzoleni, S., & Diano, M. M.
- Affiliations
- University of Naples Federico II (IT)
- Corresponding author
- Cafiero, Antonio
- Venue
- Procedia Computer Science
- Publisher
- Elsevier BV
- Published
- 2017
- Volume
- 113
- Pages
- 519-524
- ISSN
- 1877-0509 (ISSN-L)
- OpenAlex
- W2754308533
- Cited by
- 23
- References
- 0
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 4 · 2023: 3 · 2022: 4 · 2021: 4 · 2020: 2 · 2019: 1
- FWCI
- 3.08
- Type
- conference paper
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Procedia Computer Science (publishedVersion, cc-by-nc-nd)
- Funders
- Università degli Studi di Napoli Federico II
- Topics
- Physical Sciences › Environmental Science › Water Science and Technology › Water Quality Monitoring Technologies
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Algal biology and biofuel production
- Life Sciences › Agricultural and Biological Sciences › Aquatic Science › Innovations in Aquaponics and Hydroponics Systems
- Keywords
- microalgae cultivation, Internet of Things, decision support system, process monitoring and control, mathematical biology, nutrient availability
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