The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of ENERGY and ENVIRONMENT
Transactions ID Number: 19-588
Full Name: Jiraphon Srisertpol
Position: Assistant Professor
Age: ON
Sex: Male
Address: 111 Suranaree University of Technology, Muang, Nakhon Ratchasima, Thailand, 30000
Country: THAILAND
Tel: +6644224412
Tel prefix:
Fax: +6644224613
E-mail address: jiraphon@sut.ac.th
Other E-mails: srisertpol@yahoo.com
Title of the Paper: Mathematical Modeling and Parameters Estimation of an Anaerobic Digestion of Shrimp of Culture Pond Sediment in a Biogas Process
Authors as they appear in the Paper: Jiraphon Srisertpol, Prasit Srinakorn, Adtavirod Kheawnak, Kontorn Chamniprasart
Email addresses of all the authors: jiraphon@sut.ac.th, sr_prasit@hotmail.com, b03me12@hotmail.com, kontorn@sut.ac.th
Number of paper pages: 8
Abstract: The biogas is one type of energy and sustainable development which is important to the energy and environmental planning of Thailand. The study and analysis of the mathematical model of the biogas process can be explained the variables that affect biogas process and proposed a design for biogas reactor using shrimp pond sediment. The treatment of shrimp culture pond sediment by anaerobic digestion process could also reduce the amount of waste and produce biogas, which were the high ratio of methane can be used as renewable energy. This paper presents a mathematical modelling and parameter identification of an artificial intelligence to estimate the mathematical model of an anaerobic digestion with shrimp pond sediments in the biogas process which is a batch reaction. The principles of mass balance equations were defined the mathematical models. The equations is one stage nonlinear caused by the reaction of organic substances that are decomposed into biogas. This ma!
thematical model was compared to the experimental data, including temperature, pH, biogas flow rate and biochemical properties of shrimp culture sediment.
Keywords: Mass Balance Equation, Anaerobic Digestion, Biogas Process, System Identification and Artificial Intelligence
EXTENSION of the file: .doc
Special (Invited) Session: Estimation Dynamical Model of an Anaerobic Digestion of Shrimp Culture Pond Sediment in a Biogas Process using Genetic Algorithm
Organizer of the Session: 635-488
How Did you learn about congress:
IP ADDRESS: 94.79.33.21
