POWER GENERATION FROM COMBUSTED “SYNGAS” USING HYBRID THERMOELECTRIC GENERATOR AND FORECASTING THE PERFORMANCE WITH ANN TECHNIQUE

Appadurai Anitha ANGELİNE

doi:https://doi.org/10.18186/journal-of-thermal-engineering.433806

Makale detayları

POWER GENERATION FROM COMBUSTED “SYNGAS” USING HYBRID THERMOELECTRIC GENERATOR AND FORECASTING THE PERFORMANCE WITH ANN TECHNIQUE

Yazarlar:

Appadurai Anitha ANGELİNE

Yayıncı:

Yildiz Technical University

Dergi:

Journal of Thermal Engineering 2018 Vol.4 Issue 4, pp.2149-2168

Belge Tipi:

Makale

Yayın Tarihi:

4/2018

Belge Dili:

İngilizce

Document ID (Org No.):

2000506188

Sıklık:

İki Aylık

eISSN:

2148-7847

DOI:

https://doi.org/10.18186/journal-of-thermal-engineering.433806

Özet:

 


Gasification
and combustion of de-oiled Pongamia Pinnata seed cake is done to produce higher
energy biomass waste heat “syngas” for generating power using hybrid
thermoelectric generator (TEG). A test
rig is fabricated and experiments conducted with synthetic oil (Therminol-55) as the heating fluid under
water and air-cooled methods. The hot side temperature is varied from 200 - 250ºC
while the coolant temperature is maintained at 30 oC for both water
and air respectively. Experimental results showed 22.27% enhancement in
electric power at a constant hot side temperature of 250 ºC under water cooled
method. In addition, simulation results for the above mentioned conditions using
artificial neural networks (ANN) tool
in MATLAB also agreed well with the
sample experimental results. The performance parameters such as open circuit
voltage, maximum output power and matched load resistance are forecasted using
ANN upto maximum possible hot side temperature of 350ºC. Further, the financial
evaluation of Biomass gasified-thermoelectric system ($0.0018/kWh and in terms
of Indian currency is ₨ 0.0676/kWh) is found to be almost negligible on
comparison with other available renewable energy technologies.  

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Makale detayları

POWER GENERATION FROM COMBUSTED “SYNGAS” USING HYBRID THERMOELECTRIC GENERATOR AND FORECASTING THE PERFORMANCE WITH ANN TECHNIQUE

Yazarlar: Appadurai Anitha ANGELİNE

Yayıncı: Yildiz Technical University

Dergi: Journal of Thermal Engineering 2018 Vol.4 Issue 4, pp.2149-2168

Belge Tipi: Makale

Yayın Tarihi: 4/2018

Belge Dili: İngilizce

Document ID (Org No.): 2000506188

Sıklık: İki Aylık

eISSN: 2148-7847

DOI: https://doi.org/10.18186/journal-of-thermal-engineering.433806

Sayı

Yazarlar:

Appadurai Anitha ANGELİNE

Yayıncı:

Yildiz Technical University

Dergi:

Journal of Thermal Engineering 2018 Vol.4 Issue 4, pp.2149-2168

Belge Tipi:

Makale

Yayın Tarihi:

4/2018

Belge Dili:

İngilizce

Document ID (Org No.):

2000506188

Sıklık:

İki Aylık

eISSN:

2148-7847

DOI:

https://doi.org/10.18186/journal-of-thermal-engineering.433806