Abstract
Agriculture has always been a strategic sector for socioeconomic development in Morocco. Indeed, the green Morocco plan aims to extend the area of olive trees and set up new modern crushing plants in order to increase productivity and competitiveness of the olive industry. Olive mill solid waste (OMSW) and olive mill wastewater (OMW) are two types of waste generated by this industry. These wastes are rich in organic matter, but their discharge without pretreatment in nature has a toxic effect on the natural environment (soil, air, and water) because of their high acidity due to their polyphenol content.
White Biotechnology, particularly anaerobic digestion (AD), remains an effective way that uses the effluents mentioned above as a raw material for producing a renewable energy such as biogas (CH4). The aim of this work is to present a literature review of anaerobic digestion process, its influencing parameters as well as optimization algorithms used for optimizing the process and predicting gas yield.
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Khadija, E., Manale, Z., Ibtisam, E.H., Mounia, E.H. (2019). Optimization Algorithms Applied to Anaerobic Digestion Process of Olive Mill Wastewater. In: Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2018). AI2SD 2018. Advances in Intelligent Systems and Computing, vol 913. Springer, Cham. https://doi.org/10.1007/978-3-030-11881-5_8
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