Estimation of Biogas Production from Shrimp Pond Sediment Using the Artificial Intelligence

Abstract:

A biogas production development increases renewable energy and reduces the environmental impact which is caused by carbon dioxide. Thisis important for energy and environmental planning in Thailand. The biogas production by anaerobic digestionproduces methane that can be used as renewable energy. This research was to study biogas production from the anaerobic digestion of shrimp pond sediment by the batch reaction, an estimation of the mathematical model using theArtificial Intelligence (AI) technique and the treatment of shrimp pond sediment.The mass balance principle to create mathematical modeling and decompositions of organic matter into biogas were used to compare the experimental dataincluding, temperature, pH, biogas flow rate and biochemical properties of the shrimp pond sediment. From the results, mathematical models can estimate the dynamic response of the biogas flow rate and factors that affectedthe biogas productions. The treatment of shrimp pond sediment by anaerobic digestion process could reduce TS, TDS, TSS, TVS, BOD, COD and ECby81-89%, 52-60%, 95-99%, 80-89%, 86-95% , 85-95% and 12-22 % respectively.

• Periodical: Applied Mechanics and Materials (Volumes 260-261)
• Pages: 695-700
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.260-261.695
• Online since: December 2012
• Authors: J. Srisertpol, P. Srinakorn, A. Kheawnak, K. Chamniprasart
• Keywords: Adaptive Tabu Search, Anaerobic Digestion, Biogas Process, Genetic Algorithm (GA), Mass Balance Principle, Renewable Energy

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