Academic Journal
An enhanced composting process with bioaugmentation: Mathematical modelling and process optimization
| العنوان: | An enhanced composting process with bioaugmentation: Mathematical modelling and process optimization |
|---|---|
| المؤلفون: | Sokač, Tea, Šalić, Anita, Kučić Grgić, Dajana, Šabić Runjavec, Monika, Vidaković, Marijana, Jurinjak Tušek, Ana, Horvat, Đuro, Juras Krnjak, Jasmina, Vuković Domanovac, Marija, Zelić, Bruno |
| المساهمون: | european regional development fund |
| المصدر: | Waste Management & Research: The Journal for a Sustainable Circular Economy ; volume 40, issue 6, page 745-753 ; ISSN 0734-242X 1096-3669 |
| بيانات النشر: | SAGE Publications |
| سنة النشر: | 2021 |
| الوصف: | In this paper, two different types of biowaste composting processes were carried out – composting without and with bioaugmentation. All experiments were performed in an adiabatic reactor for 14 days. Composting enhanced with bioaugmentation was the better choice because the thermophilic phase was achieved earlier, making the composting time shorter. Additionally, a higher conversion of substrate (amount of substrate consumed) was also noticed in the process enhanced by bioaugmentation. A mathematical model was developed and process parameters were estimated in order to optimize the composting process. Based on good agreement between experimental data and the mathematical model simulation results, a three-level-four-factor Box-Behnken experimental design was employed to define the optimal process conditions for further studies. It was found that the air flow rate and the mass fraction of the substrate have the most significant effect on the composting process. An improvement of the composting process was achieved after altering the mentioned variables, resulting in shorter composting time and higher conversion of the substrate. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| DOI: | 10.1177/0734242x211033712 |
| DOI: | 10.1177/0734242X211033712 |
| الاتاحة: | https://doi.org/10.1177/0734242x211033712 https://journals.sagepub.com/doi/pdf/10.1177/0734242X211033712 https://journals.sagepub.com/doi/full-xml/10.1177/0734242X211033712 |
| Rights: | https://journals.sagepub.com/page/policies/text-and-data-mining-license |
| رقم الانضمام: | edsbas.D165A2B5 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1177/0734242x211033712 |
|---|