การพัฒนาแบบจำลองทางคณิตศาาสตร์เพื่อใช้ในการควบคุมถังปฏิกรณ์ไร้อากาศแบบลูกผสม

Name: จุฬาลักษณ์ มณฑาทิพยา

Organization : มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าธนบุรี

keyword: Anaerobic Hybrid Reactor

; Dynamic Model

; Hydraulic Retention Time

; Hydraulic Shock Load

; Organic Loading Rate

; Root Mean Square Error

Abstract: This research aims to improve an existing dynamic model of Anaerobic hybrid reactor(AHR) for predicting of operating parameters namely: (1) pH, (2) total volatile acids (TVA),(3) total alkalinity (Alk), (4) % COD Removal, (5) Methane production rate. This researchmodified the existing model, that was developed by Bussayajarn (2000). The objective of themodel is to study the strategy for controlling an anaerobic hybrid reactor (AHR). In this model,degradation of microorganisms was assumed a interactions among 3 bacterial groups ;Acidogenic bacteria, Acetoclastic methanogen and Hydrogenophilic methanogen groups.This model had been modified by applying 3 continuously stirred tank reactors (CSTRs)in series. The results of simulations would validated using lab-scale experimental data from theBiogas Technology Research group (BTRG) of KMUTT. During the first 191 days of theoperation, organic loading rate (OLR) of the reactor was 2, 4 and 6 Kg COD/m3/day. Resultsfrom the testing model indicated that the developed model could be successfully used forpredicting pH, Alk, TVA, % COD Removal and methane production rate in an anaerobichybrid reactor. The variables pH, Alk, TVA, % COD Removal and methane production rateat OLR of the reactor was 2, 4 and 6 Kg COD/m3/day. Results from the testing modelindicated that the developed model could be predicted by the model were compared tothe experimental results. The predicting model yielded satisfactory results with a rootmean square error (RMSE) of 0.46, 1.06 and 1.09 for pH respectively. Results withRMSE of 933, 210 and 188 mg/l as CaCO3 for Alk respectively. Results with RMSE of587, 153 and 80 mg/l as acetic acid for TVA respectively. Results with RMSE of 3.45,2.30 and 2.78% for COD Reduction respectively. Results with RMSE of 1.69, 1.61 and 0.42l/day for methane respectively.The variable prediction of the process performance quitewell at 4 and 6 Kg COD/m3/day. Next during days 192-197 of the operation, hydraulic shockload was done by decreasing hydraulic retention time (HRT) from 4 to 1.5 days.The predictingAlk and methane production rate by developed model yield satisfactory results, with a root meansquare error (RMSE) of 194 mg/l as CaCO3 and 1.01 l/day respectively. Moreover, thisdeveloped model was improved to be used to control the process using pH as a controlparameter. pH in effluent stream was controlled to be not less than 7.0. The RMSE of 2.10 forpH. The conceptual of developed model was used to simulate AHR could predicted of pH with unsatisfactory result obtained.

มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าธนบุรี

Address: กรุงเทพมหานคร (Bangkok)

Email: info.lib@mail.kmutt.ac.th

Name: ผศ.ดร. ภาวิณี ชัยประเสริฐ

Role: อาจารย์ที่ปรึกษา

Created: 2546

Issued: 2005-11-08

Modified: 2006-05-09

วิทยานิพนธ์/Thesis

ISBN: 9741834799

CallNumber: BIT482

tha

DegreeName: วิทยาศาสตรมหาบัณฑิต

Level: ปริญญาโท

Descipline: เทคโนโลยีชีวภาพ

Grantor: มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าธนบุรี

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