APPLICATION OF GMDH AND GENETIC ALGORITHM IN FRACTION IN BIOGAS FROM LANDFILL MODELING

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

ZOQI MOHAMMAD JAVAD; GHAMGOSAR MOHAMMAD; GANJI MOSLEM; FALLAHI SAEED

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY Year:2016 | Volume:18 | Issue:3 Page(s): 1-12

Download Full-Text

Persian Verion

View:

1,525

Download:

Cites:

Information Journal Paper

Title

APPLICATION OF GMDH AND GENETIC ALGORITHM IN FRACTION IN BIOGAS FROM LANDFILL MODELING

Author(s)

ZOQI MOHAMMAD JAVAD | GHAMGOSAR MOHAMMAD | GANJI MOSLEM | FALLAHI SAEED | Issue Writer Certificate

Keywords

GMDH NEURAL NETWORKQ1

GENETIC ALGORITHMQ1

LEACHATEQ1

LANDFILL GASQ1

METHANE FRACTIONQ1

Abstract

Background and Objective: In this study, The Group Method of Data Handling (GMDH) type neural networks whit GENETIC ALGORITHM was applied to estimate the METHANE FRACTION in LANDFILL GAS originating from Lab-scale landfill bioreactors. In this study, to predict the METHANE FRACTION in LANDFILL GAS as a final product of anaerobic digestion, we used input parameters such as pH, Chemical Oxygen Demand, NH4+-N and waste temperature.Method: To this Purpose, two different systems were applied for neural network’s data obtained. In system I (C1), the LEACHATE generated from a fresh-waste reactor was drained to recirculation tank, and recycled every two days. In System II (C2), the LEACHATE generated from a fresh waste landfill reactor was fed through a well-decomposed refuse landfill reactor, and at the same time, the LEACHATE generated from a well-decomposed refuse landfill reactor recycled to a fresh waste landfill reactor. LEACHATE and LANDFILL GAS components were monitored for 132 days.Findings: The study results indicate that GMDH is able to predict the METHANE FRACTION in LANDFILL GAS.The correlation between the observed and predicted values for the training data is 0.98 and for the testing data, it is 0.99.Discussion and Conclusion: The proposed method can significantly predict the METHANE FRACTION in LANDFILL GAS originating and, consequently, GMDH can be use to optimize the dimensions of a plant using biogas for energy (i.e. heat and/or electricity) recovery and monitoring system.

Cites

No record.

References

No record.

Cite

APA: Copy

ZOQI, MOHAMMAD JAVAD, GHAMGOSAR, MOHAMMAD, GANJI, MOSLEM, & FALLAHI, SAEED. (2016). APPLICATION OF GMDH AND GENETIC ALGORITHM IN FRACTION IN BIOGAS FROM LANDFILL MODELING. JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, 18(3), 1-12. SID. https://sid.ir/paper/87197/en

Vancouver: Copy

ZOQI MOHAMMAD JAVAD, GHAMGOSAR MOHAMMAD, GANJI MOSLEM, FALLAHI SAEED. APPLICATION OF GMDH AND GENETIC ALGORITHM IN FRACTION IN BIOGAS FROM LANDFILL MODELING. JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY[Internet]. 2016;18(3):1-12. Available from: https://sid.ir/paper/87197/en

IEEE: Copy

MOHAMMAD JAVAD ZOQI, MOHAMMAD GHAMGOSAR, MOSLEM GANJI, and SAEED FALLAHI, “APPLICATION OF GMDH AND GENETIC ALGORITHM IN FRACTION IN BIOGAS FROM LANDFILL MODELING,” JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, vol. 18, no. 3, pp. 1–12, 2016, [Online]. Available: https://sid.ir/paper/87197/en

Related Journal Papers