Energy and exergy co-optimization of IGCC with lower emissions based on fuzzy supervisory predictive control

Xu, Jinghua; Wang, Tiantian; Gao, Mingyu; Peng, Tao; Zhang, Shuyou

doi:10.1016/j.egyr.2020.01.003

Cited by 12 publications

(3 citation statements)

References 32 publications

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“…Selagi pembangkit ini mampu mengeringkan batubara kelembaban tinggi dengan menggunakan gas bersuhu tinggi dari tungku boiler; latent heat yang dihasilkan oleh penguapan moisture batubara hilang tanpa digunakan secara efektif (Xu et al, 2020). Hal ini mengurangi efisiensi boiler, yang mengarah pada penurunan efisiensi pembangkit listrik.…”

Section: Tinjauan Tentang Teknologi Pengeringan Lignit Atau Brown Coalunclassified

Pemanfaatan Batubara Kalori Rendah pada IGCC (Integrated Gasification Combined Cycle)

Zaman

Suedy

2020

J. En. Baru & Terbarukan

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Kekhawatiran akan emisi gas rumah kaca dan krisis energi yang semakin dirasakan negara-negara didunia khususnya di Indonesia menyebabkan perlu dilakukan pengembangan energi alternatif yang bersih dan ramah lingkungan. Teknologi Integrated Gasification Combined Cycle dapat menjadi alternatif terbaik untuk mengatasi permasalaan tersebut. Penelitian ini dilakukan dengan tujuan untuk memberikan gambaran dan keuntungan dari proses IGCC berdasarkan penilitian-penelitian yang sudah ada sehingga dapat dilakukan pengembangan pemanfaatan IGCC menggunakan batubara lignit di Indonesia. Penelitian ini dilakukan dengan studi literatur, pengumpulan data dilakukan dari penelitian-penelitian yang sudah ada untuk mengetahui dampak dan metode yang digunakan untuk mengeringkan batubara rendah yang memiliki moisture tinggi. Analisis dalam penelitian dilakukan menggunakan perbandingan dari setiap literatur, sehingga diperoleh proses dan teknologi yang sesuai untuk pemanfaatan IGCC. Hasil penelitian menunjukkan pemanfaatan teknologi IGCC menggunakan batubara lignit sangat menjanjikan karena walaupun lignit memiliki keterbatasan dalam efisiensi termal karena moisture bahan bakar yang sangat tinggi namun hal ini bisa diminimalisir menggunakan proses drying. Jumlah batubara lignit yang melimpah di Indonesia dapat memudahkan pengembangan IGCC dan emisi yang dihasilkan lebih rendah daripada pembangkit fosil lainnya.

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Section: Tinjauan Tentang Teknologi Pengeringan Lignit Atau Brown Coalunclassified

Pemanfaatan Batubara Kalori Rendah pada IGCC (Integrated Gasification Combined Cycle)

Zaman

Suedy

2020

J. En. Baru & Terbarukan

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“…Considering sustainable development, energy efficiency is recognized as an effective attitude worldwide. 1 Global warming and climate change are identified as undeniable threats to the human species and they result from excessive energy use and significant greenhouse gas emission such as carbon dioxide (CO 2 ). 2 Amongst the worldwide greenhouse gas emissions, CO 2 has an unbelievable emission share of 90%, N 2 O 1%, CH 4 9% and other gases 14%.…”

Section: Introductionmentioning

confidence: 99%

Renovating buildings by modelling energy–CO₂ emissions using particle swarm optimization and artificial neural network (case study: Iran)

Arjomandnia

Ilbeigi

Kazemidemneh

et al. 2023

Indoor and Built Environment

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Climate change is known as a serious threat to the human species, and its significance should be considered in building design. This study aims to investigate the relationship between energy consumption and CO2 emission in Iran during the years 2018–2019 using artificial neural networks (ANNs) and regression methods. The input data were gathered and optimized by the particle swarm optimization (PSO) algorithm. Lighting, equipment load rate, wall U-value, roof U-value and people density were deliberated as effective parameters. Afterwards, the ANN was created, trained and tested by the radial basis function (RBF) algorithm; also, the data were evaluated based on statistical analysis in SPSS software. The results demonstrated R2 = 0.99 and the 45-degree line for the predicted value. Energy consumption and CO2 were reduced to 35% and 73.21%, respectively. Furthermore, CO2 emissions and energy consumption had an inverse relationship with infiltration rates (−0.201) and (−0.098). Furthermore, CO2 emission and energy consumption had a linear relation in Iran with the equation of y = 1.63x + 0.52. Moreover, based on ANOVA test, R2 linear was 0.985 and R = 0.993, illustrating significant accuracy. Architects and designers could enjoy these findings as guidelines for renovation and designing purposes so as to alleviate the negative environmental impacts of construction.

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“…IGCC is currently recognized as the cleanest coal-fired power model [1,2]. Compared with previous coal-fired and gas-fired thermal power projects, IGCC has a complex fuel composition, a wide range of calorific values, and poor combustion stability [3,4].…”

Section: Introductionmentioning

confidence: 99%

Fuel calorific value control process analysis and research based on IGCC power plant

Ding,

Chen,

Tao

2023

IET Renewable Power Gen

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The stability of the equipment has been more and more important with the continuous development of IGCC (Integrated Gasification Combined Cycle) technology. The control of the calorific value of the fuel gas of the gas turbine is one of the most important factors for the stable operation of the gas turbine. There are many variables in the calorific value of IGCC fuels that will cause unstable fuel combustion conditions and low thermal efficiency. In terms of process equipment, process conditions, instrument control calculation, and logic adjustment, this paper studies the automatic adjustment system of the calorific value of syngas for IGCC gas turbine fuel. The calorific value of the syngas can be automatically adjusted under different working conditions of the gas turbine. It helps the stable combustion of the gas turbine to form a perfect, efficient, reliable calorific value control system.

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Energy and exergy co-optimization of IGCC with lower emissions based on fuzzy supervisory predictive control

Cited by 12 publications

References 32 publications

Pemanfaatan Batubara Kalori Rendah pada IGCC (Integrated Gasification Combined Cycle)

Pemanfaatan Batubara Kalori Rendah pada IGCC (Integrated Gasification Combined Cycle)

Renovating buildings by modelling energy–CO₂ emissions using particle swarm optimization and artificial neural network (case study: Iran)

Fuel calorific value control process analysis and research based on IGCC power plant

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Energy and exergy co-optimization of IGCC with lower emissions based on fuzzy supervisory predictive control

Cited by 12 publications

References 32 publications

Pemanfaatan Batubara Kalori Rendah pada IGCC (Integrated Gasification Combined Cycle)

Pemanfaatan Batubara Kalori Rendah pada IGCC (Integrated Gasification Combined Cycle)

Renovating buildings by modelling energy–CO2 emissions using particle swarm optimization and artificial neural network (case study: Iran)

Fuel calorific value control process analysis and research based on IGCC power plant

Contact Info

Product

Resources

About

Renovating buildings by modelling energy–CO₂ emissions using particle swarm optimization and artificial neural network (case study: Iran)