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International Journal of Green Energy Volume 12, 2015 - Issue 2: Clean Energy Technologies
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Original Articles

Estimation of Biogas Generation from a Uasb Reactor via Multiple Regression Model

Ebru AkkayaDepartment of Environmental Engineering, Faculty of Civil Engineering, Yildiz Technical University, Esenler, Istanbul, TurkeyCorrespondence[email protected]
,
Ahmet DemirDepartment of Environmental Engineering, Faculty of Civil Engineering, Yildiz Technical University, Esenler, Istanbul, Turkey
&
Gamze VarankDepartment of Environmental Engineering, Faculty of Civil Engineering, Yildiz Technical University, Esenler, Istanbul, Turkey
Pages 185-189 | Published online: 08 Oct 2014

Citations (12)

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Rizwan Rasheed, Abdullah Yasar, Sajid Rashid Ahmad, Amtul Bari Tabinda, Saboor Ahmad Khan & Yuehong Su. (2018) Bioenergy recovery analysis from various waste substrates by employing a novel industrial scale AD plant. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 40:16, pages 1935-1946.
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Chia-Wei Chang, Tsung-Han Lee, Wei-Tsung Lin & Chiun-Hsun Chen. (2015) Electricity Generation Using Biogas From Swine Manure for Farm Power Requirement. International Journal of Green Energy 12:4, pages 339-346.
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Articles from other publishers (10)

Thobias Pereira Silva, Maurício Guimarães de Oliveira, José Marcos Marques Mourão, André Bezerra dos Santos & Erlon Lopes Pereira. (2023) Monte Carlo-based model for estimating methane generation potential and electric energy recovery in swine wastewater treated in UASB systems. Journal of Water Process Engineering 51, pages 103399.
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Dhaneswara Ilmasari, Hesam Kamyab, Ali Yuzir, Fatimah Azizah Riyadi, Tayebeh Khademi, Fouad Fadhil Al-Qaim, Irina Kirpichnikova & Santhana Krishnan. (2022) A review of the biological treatment of leachate: Available technologies and future requirements for the circular economy implementation. Biochemical Engineering Journal 187, pages 108605.
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Mohsen Asadi & Kerry Neil McPhedran. (2021) Greenhouse gas emission estimation from municipal wastewater using a hybrid approach of generative adversarial network and data-driven modelling. Science of The Total Environment 800, pages 149508.
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Bahman Heydari, Elham Abdollahzadeh Sharghi, Shahin Rafiee & Seyed Saeid Mohtasebi. (2021) Use of artificial neural network and adaptive neuro-fuzzy inference system for prediction of biogas production from spearmint essential oil wastewater treatment in up-flow anaerobic sludge blanket reactor. Fuel 306, pages 121734.
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Mohsen Asadi & Kerry McPhedran. (2021) Biogas maximization using data-driven modelling with uncertainty analysis and genetic algorithm for municipal wastewater anaerobic digestion. Journal of Environmental Management 293, pages 112875.
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Iftikhar Ahmad, Adil Sana, Manabu Kano, Izzat Iqbal Cheema, Brenno C. Menezes, Junaid Shahzad, Zahid Ullah, Muzammil Khan & Asad Habib. (2021) Machine Learning Applications in Biofuels’ Life Cycle: Soil, Feedstock, Production, Consumption, and Emissions. Energies 14:16, pages 5072.
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Naseem Khayum, Amruta Rout, B. B. V. L. Deepak, S. Anbarasu & S. Murugan. (2019) Application of Fuzzy Regression Analysis in Predicting the Performance of the Anaerobic Reactor Co-digesting Spent Tea Waste with Cow Manure. Waste and Biomass Valorization 11:11, pages 5665-5678.
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R. Loganath, J. Senophiyah-Mary & Teema Thomas. 2020. Emerging Technologies for Waste Valorization and Environmental Protection. Emerging Technologies for Waste Valorization and Environmental Protection 19 27 .
G. Çalışkan & N. Azbar. (2017) Energy Recovery From Conventional Biogas Digester Effluent with a Novel Bioreactor Configuration. Waste and Biomass Valorization 8:7, pages 2371-2381.
Crossref
Philip Antwi, Jianzheng Li, Portia Opoku Boadi, Jia Meng, En Shi, Kaiwen Deng & Francis Kwesi Bondinuba. (2017) Estimation of biogas and methane yields in an UASB treating potato starch processing wastewater with backpropagation artificial neural network. Bioresource Technology 228, pages 106-115.
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