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Biomass Conversion and Biorefinery

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10.05.2021 | Original Article

A new hybrid approach in selection of optimum establishment location of the biogas energy production plant

verfasst von: Ali Bahadır Ceylan, Levent Aydın, Mustafa Nil, Hayati Mamur, İlker Polatoğlu, Hasan Sözen

Erschienen in: Biomass Conversion and Biorefinery | Ausgabe 7/2023

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Abstract

In this study, a new hybrid modeling optimization approach is presented for choosing the best installation location of a biogas power plant. This approach was evaluated in a case study for Manisa province in Turkey. First, the animal waste potential in Manisa was determined. By examining the biogas potential in Manisa, the mathematical model of the process is identified with the neuro-regression approach. Comparisons were made with the traditional and hybrid models, and it was seen that the values of the hybrid model based on the introduced approach were at more acceptable levels. Depending on this model, the most appropriate district where the power plant can be installed was calculated by considering the potentials in the environment. The single-objective and multi-objective approaches were considered to acquire the optimum design for the system. The modified versions of the optimization methods differential evolution (MDE), Nelder-Mead (MNM), simulated annealing (MSA), and random search (MRS) algorithms were used to solve problems. Thanks to the calculations and optimizations, it was concluded that it would be more appropriate to establish a biogas plant around Gölmarmara, Salihli, and Ahmetli triangle in Manisa. It was determined that when this installation takes place, 68 GWh of electrical energy can be produced annually. This study is a pioneering study for the installation locations of bioenergy power plants in terms of the methods and approaches.

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Titel: A new hybrid approach in selection of optimum establishment location of the biogas energy production plant
verfasst von: Ali Bahadır Ceylan
Levent Aydın
Mustafa Nil
Hayati Mamur
İlker Polatoğlu
Hasan Sözen
Publikationsdatum: 10.05.2021
Verlag: Springer Berlin Heidelberg
Erschienen in: Biomass Conversion and Biorefinery / Ausgabe 7/2023
Print ISSN: 2190-6815
Elektronische ISSN: 2190-6823
DOI: https://doi.org/10.1007/s13399-021-01532-8

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