Prediction of biogas production rate from anaerobic hybrid reactor by artificial neural network and nonlinear regressions models

Tufaner, Fatih; Demirci, Yavuz

doi:10.1007/s10098-020-01816-z

Cited by 74 publications

(23 citation statements)

References 38 publications

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“…Table 2 presents a summary of the polynomial models used to predict the production of total gas and methane during the fermentation periods. Recent studies have suggested that polynomial models are particularly suited for examining gas production over the fermentation period in different fermentation systems 23,[49][50][51] . From a fermentation standpoint, gas production is a continuous process and might show a growth relationship over a period of time in which such relationship can be tested by a polynomial model.…”

Section: Biogas Production and Methane Concentration (21 Days-time Inmentioning

confidence: 99%

Techno-economic evaluation of biogas production from food waste via anaerobic digestion

Al-Wahaibi

Osman

Al-Muhtaseb

et al. 2020

Sci Rep

113

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Food waste is a major constituent in municipal solid wastes and its accumulation or disposal of in landfills is problematic, causing environmental issues. Herein, a techno-economic study is carried out on the potential of biogas production from different types of food waste generated locally. The biogas production tests were at two-time sets; 24-h and 21-day intervals and results showed a good correlation between those two-time sets. Thus, we propose to use the 24-h time set to evaluate feedstock fermentation capacity that is intended for longer periods. Our approach could potentially be applied within industry as the 24-h test can give a good indication of the potential substrate gas production as a quick test that saves time, with minimal effort required. Furthermore, polynomial models were used to predict the production of total gas and methane during the fermentation periods, which showed good matching between the theoretical and practical values with a coefficient of determination R2 = 0.99. At day 21, the accumulative gas production value from mixed food waste samples was 1550 mL per 1 g of dry matter. An economic evaluation was conducted and showed that the case study breaks-even at $0.2944 per cubic metre. Any prices above this rate yield a positive net present value (NPV); at $0.39/m3 a discounted payback period of six years and a positive NPV of $3108 were calculated. If waste management fee savings are to be incorporated, the total savings would be higher, increasing annual cash flows and enhancing financial results. This economic evaluation serves as a preliminary guide to assess the economic feasibility based on the fluctuating value of methane when producing biogas from food waste via anaerobic digestion, thus could help biogas project developers investigate similar scale scenarios .

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Section: Biogas Production and Methane Concentration (21 Days-time Inmentioning

confidence: 99%

Techno-economic evaluation of biogas production from food waste via anaerobic digestion

Al-Wahaibi

Osman

Al-Muhtaseb

et al. 2020

Sci Rep

113

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“…The first stage of fermentation, called hydrolysis, breaks down the complex compounds of the starting materials (proteins, carbohydrates, fats) into simple organic compounds: amino acids, sugars, and fatty acids [12]. In the next stage, called acidogenesis, the intermediate products formed are broken down by the acidifying bacteria into fatty acids (acetic acid, propionic acid, and butyric acid) [13].…”

Section: Development and Purification Of Bmmentioning

confidence: 99%

Biomethane in Poland—Current Status, Potential, Perspective and Development

Piechota¹,

Igliński

2021

Energies

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Every year the interest in biofuels, including biomethane, grows in Poland. Biomethane, obtained from biogas, is widely used in the Polish economy; the most important two applications are as gas injected into the gas grid and as automotive fuel. The aim of this work is to determine the potential for the development of the biomethane sector in Poland. The following article presents the technological stages of biomethane extraction and purification. The investment process for biogas/biomethane installation is presented in the form of a Gannt chart; this process is extremely long in Poland, with a duration of three years. In the coming months, the Polish Oil Mining and Gas Extraction will begin to invest in biomethane, which will be connected to the gas grid, while the Polish oil refiner and petrol retailer, Orlen, will invest in biomethane to be used as automotive fuel. This article includes a SWOT (Strengths, Weaknesses, Opportunities, Threats) and PEST (Political, Economic, Social, Technological) analysis of the biogas/biomethane sector in Poland. The main barriers to the development of the biogas/biomethane sector in Poland are high investment costs, long lead times and a strong conventional energy lobby. The most important advantages of biogas/biomethane technology in Poland include environmental aspects, high biomethane potential and well-developed agriculture. The development of biogas/biomethane technology in Poland will slowly reduce environmental pollution, reduce carbon dioxide emissions and allow for partial independence from the importing of natural gas.

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“…A renewed interest in Artificial Neural Networks (ANN) and Fuzzy logic, methods that have a long association with the bioprocessing and manufacturing industries, as well as AD itself [126,127], may propagate research and debate on the role of advanced data-driven models for application to AD moving forward. However, at present most applications of machine learning models have focused on conventional purposes, such as methane prediction [128][129][130].…”

Section: Empiricism Data and The Digital Futurementioning

confidence: 99%

Not Just Numbers: Mathematical Modelling and its Contribution to Anaerobic Digestion Processes

Wade¹

2020

Preprint

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Mathematical modelling of bioprocesses has a long and notable history, with eminent contributions from fields including microbiology, ecology, biophysics, chemistry, statistics, control theory and mathematical theory. This richness of ideas and breadth of concepts provide great motivation for inquisitive engineers and intrepid scientists to try their hand at modelling, and this collaboration of disciplines has also delivered significant milestones in the quality and application of models for both theoretical and practical interrogation of engineered biological systems. The focus of this review is the anaerobic digestion process, which, as a technology that has come in and out of fashion, still remains a fundamental process for addressing the global climate emergency. Whether with conventional anaerobic digestion systems, biorefineries, or other anaerobic technologies, mathematical models are important tools that are used to design, monitor, control and optimise the process. Both highly structured, mechanistic models and data-driven approaches have been used extensively over half a decade, but recent advances in computational capacity, scientific understanding and diversity and quality of process data, presents an opportunity for the development of new modelling paradigms, augmentation of existing methods, or even incorporation of tools from other disciplines, to ensure that anaerobic digestion research can remain resilient and relevant in the face of emerging and future challenges.

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Prediction of biogas production rate from anaerobic hybrid reactor by artificial neural network and nonlinear regressions models

Cited by 74 publications

References 38 publications

Techno-economic evaluation of biogas production from food waste via anaerobic digestion

Techno-economic evaluation of biogas production from food waste via anaerobic digestion

Biomethane in Poland—Current Status, Potential, Perspective and Development

Not Just Numbers: Mathematical Modelling and its Contribution to Anaerobic Digestion Processes

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