Optimization of methane gas production from co-digestion of food waste and poultry manure using artificial neural network and response surface methodology

• Main Authors: Tuan Yusof, Tengku Roslina, Che Man, Hasfalina, Abdul Rahman, Nor'aini, Hafid, Halimatun Saadiah
• Format: Article
• Language: English
• Published: Canadian Center of Science and Education 2014
• Online Access: http://psasir.upm.edu.my/id/eprint/34774/1/Optimization%20of%20Methane%20Gas%20Production%20From%20Co-Digestion%20of%20Food.pdf; http://psasir.upm.edu.my/id/eprint/34774/; http://www.ccsenet.org/journal/index.php/jas/article/view/37785
• Institution: Universiti Putra Malaysia

Food waste with high carbohydrate content is considered as a suitable substrate for fermentation of methane gas. In this study, co-digestion of poultry manure (PM) and food waste (FW) was used. Response surface methodology (RSM) and artificial neural network (ANN) were applied to optimize parameters...