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Application of Fuzzy Regression Analysis in Predicting the Performance of the Anaerobic Reactor Co-digesting Spent Tea Waste with Cow Manure

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Abstract

Modelling and optimization of production of different renewable energy sources are receiving great interest by researchers; as they are used to provide gross information on the possibilities of harnessing energy from variety of resources. Spent tea waste (STW) is one of the potential organic wastes remarkably available in India. In this research work, possibility of producing biogas by co-digesting STW with cow manure (CM) was predicted through a novel fuzzy regression approach. Triangular membership functions with five levels were considered for the fuzzy subsets and a Mamdani-type of fuzzy approach was used to implement a total of 125 rules in the IF–THEN format. The digestion time, carbon to nitrogen (C/N) ratio and pH were considered as input parameters, while the biogas yield was considered as an output. Experimental data obtained from the lab scale reactors were used to predict the biogas yield using fuzzy logic methodology. The obtained results were validated with the experimental results by carrying out a regression analysis. The results indicated that a good agreement found between experimental and predicted data with a coefficient of determination R2 = 0.994.

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Abbreviations

Ai :

Actual values

AARE:

Absolute average relative error

ANFIS:

Adaptive neuro-fuzzy inference system

ANN:

Artificial neural network

AR:

Anaerobic reactor

ARE:

Average relative error

CM:

Cow manure

C/N:

Carbon to nitrogen ratio

FA:

Firely algorithm

FIS:

Fuzzy inference system

GA:

Genetic algorithm

kg:

Kilogram

ml:

Millilitre

MSE:

Mean squared normalised error

NH3 :

Ammonia

Pi :

Predicted values

RF:

Random forest

RMSE:

Root mean squared error

RPM:

Revolutions per minute

RSM:

Response surface methodology

SD:

Standard deviation

STW:

Spent tea waste

TS:

Total solid

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Authors and Affiliations

  1. Department of Mechanical Engineering, National Institute of Technology Rourkela, Rourkela, India

    Naseem Khayum, S. Anbarasu & S. Murugan

  2. Department of Industrial Design, National Institute of Technology Rourkela, Rourkela, India

    Amruta Rout & B. B. V. L. Deepak

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  1. Naseem Khayum
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  2. Amruta Rout
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  3. B. B. V. L. Deepak
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Khayum, N., Rout, A., Deepak, B.B.V.L. et al. Application of Fuzzy Regression Analysis in Predicting the Performance of the Anaerobic Reactor Co-digesting Spent Tea Waste with Cow Manure. Waste Biomass Valor 11, 5665–5678 (2020). https://doi.org/10.1007/s12649-019-00874-9

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