Coupling heat transfer modelling to ALBA model for full predictions from meteorology
| Type | : | ACTI |
|---|---|---|
| Nature | : | Production scientifique |
| Au bénéfice du Laboratoire | : | Non |
| Statut de publication | : | Publié |
| Année de publication | : | 2022 |
| Lieu de publication | : | - |
| Titre de la conférence | : | 10th Vienna International Conference on Mathematical Modelling MATHMOD 2022 |
| Lieu de la conférence | : | Vienna, Austria |
| Année de la conférence | : | 2022 |
| Date de début | : | 27/07/2022 |
| Date de fin | : | 29/07/2022 |
| Titre du proceeding | : | IFAC-PapersOnLine |
| Editeur de presse | : | - |
| Volume | : | 50 |
| Fascicule | : | 20 |
| Pages | : | 558-563 |
| Auteurs (2) | : | CASAGLI Francesca BERNARD Olivier |
| Editeurs scientifiques (0) | : | |
| DOI | : | 10.1016/j.ifacol.2022.09.154 |
| URL | : | https://www.sciencedirect.com/science/article/pii/S2405896322013581 |
| Abstract | : | High Rate Algal-Bacterial Ponds (HRABP) are often considered as an interesting solution for reducing the energy demand due to oxygenation in wastewater treatment, since oxygen is produced by the microalgae during photosynthesis. Modelling these complex dynamical processes is a challenging task since it is subjected to the solar fluxes imposing permanent fluctuations in light and temperature. The ALBA model was developed to represent this process, and validated with 623 days of outdoor measurements, in two different locations and for the four seasons. However, so far this model -as all the other existing models- was not fully predictive since it was requiring the measurement of the water temperature. The objective of this work is to upgrade the ALgae-BActeria (ALBA) model, coupling it with a physical model predicting the evolution of temperature in the HRABP and presenting a novel structure for the pH submodel implementation. A heat-transfer model was developed and coupled to this model. It was able to accurately (with a standard error of 1.5°C) predict the temperature along the year. When coupled to the ALBA model, full predictions only based on meteorological data become possible. The predictions are hardly affected compared to using the actual measured temperature, resulting in an overall excellent capability to predict the process behaviour so that it can be further used for the system optimization, and for testing scenarios under very different operating and weather conditions. |
| Mots-clés | : | - |
| Commentaire | : | - |
| Tags | : | - |
| Fichier attaché | : | - |
| Citation | : |
Casagli F, Bernard O (2022) Coupling heat transfer modelling to ALBA model for full predictions from meteorology. IFAC-PapersOnLine. 20, Vol: 50, , 558-563 | doi: 10.1016/j.ifacol.2022.09.154
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