مکانیک سیالات و آیرودینامیک

مکانیک سیالات و آیرودینامیک

استفاده از روش تا گوچی برای بهینه‌سازی یک سیستم تولید هم‌زمان بر مبنای توربین گازی با سوخت بیوگاز

نوع مقاله : مقاله پژوهشی

نویسندگان
1 کارشناسی ارشد، دانشگاه محقق اردبیلی، اردبیل، ایران
2 دانشیار ، دانشگاه محقق اردبیلی، اردبیل، ایران
3 استادیار، دانشگاه صنعتی جندی‌شاپور دزفول، دزفول، ایران
4 دانشیار، دانشگاه صنعتی ارومیه، ارومیه، ایران
چکیده
این مطالعه بهینه‌سازی سیستم تولید هم‌زمان مبتنی بر توربین گازی با سوخت بیوگاز را با روش تاگوچی برای تولید توان، گرمایش، آب شیرین و هیدروژن ارائه می‌دهد. بیوگاز به دلیل تجدید پذیری و مزایای زیست‌محیطی، جایگزین مناسب سوخت‌های فسیلی محسوب می‌شود. تحلیل‌های ترمودینامیکی و اگزرژواکونومیکی با نرم‌افزار EES برای ارزیابی عملکرد سیستم انجام شد. هدف، بهبود عملکرد سیستم از طریق تنظیم پارامترهای عملیاتی با روش تا گوچی است. طراحی آزمایش تا گوچی توسط پایتون و آرایه متعامدL27 برای بهینه‌سازی پنج پارامتر کنترلی در سه سطح پیاده‌سازی شد. سه پاسخ هدف شامل بازده انرژی، بازده اگزرژی و هزینه ویژه تولید توان بررسی شد. نتایج نشان داد دمای ورودی توربین گاز با بیشترین تأثیر بر پاسخ‌ها، مهم‌ترین عامل کلیدی بهینه‌سازی است. تحلیل واریانس نشان داد دمای توربین گاز و دمای پیش گرم‌کننده هوا به ترتیب با سهم ۴۷٫۶۱٪ و ۳۶٫۲۳٪ مؤثرترین پارامترها بر بازده انرژی بودند. همچنین تغییر سطح دمای توربین گاز از K۱۱۵۰ به K۱۳۰۰ منجر به کاهش ۴٫۲ دلار برگیگاژول هزینه ویژه تولید توان می‌شود. شرایط بهینه شناسایی‌شده، حداکثر به بازده انرژی ۸۳٫۷۲٪ بازده اگزرژی ۳۵٫۰۷٪ و حداقل هزینه ویژه تولید توان ۲۶٫۸۰ دلار بر گیگاژول را نتیجه می‌دهد
کلیدواژه‌ها

عنوان مقاله English

Using Taguchi Method for Optimization of a Biogas-Fueled Gas Turbine-Based Cogeneration System

نویسندگان English

Mohsen Naderi 1
Mohammad Vajdi 2
Mehran Abdolalipouradl 3
Farzad Mohammadkhani 4
1 M.Sc. Student, University of Mohaghegh Ardabili, Ardabil, Iran
2 Associate Professor, University of Mohaghegh Ardabili, Ardabil, Iran
3 Assistant Professor, , Jundi-Shapur University of Technology, Dezful, Iran
4 Associate Professor, Urmia University of Technology, Urmia, Iran
چکیده English

This study presents the optimization of a biogas-fueled gas turbine-based cogeneration system using the Taguchi method for power generation, heating, freshwater production, and hydrogen production. Biogas is considered a suitable alternative to fossil fuels due to its renewability and environmental benefits. Thermodynamic and exergoeconomic analyses were performed using EES software to evaluate system performance. The objective is to improve system performance through adjustment of operational parameters using the Taguchi method. Taguchi experimental design was implemented using Python and an L27 orthogonal array to optimize five control parameters at three levels. Three target responses including energy efficiency, exergy efficiency, and specific cost of power generation were investigated. Results showed that gas turbine inlet temperature, with the greatest impact on responses, is the most critical optimization factor. Analysis of variance revealed that gas turbine temperature and air preheater temperature, with contributions of 47.61% and 36.23% respectively, were the most effective parameters on energy efficiency. Furthermore, changing the gas turbine temperature level from 1150 K to 1300 K results in a reduction of 4.2$/GJ in the specific cost of power generation. The identified optimal conditions yield maximum energy efficiency of 83.72%, exergy efficiency of 35.07%, and minimum specific cost of power generation of 26.80 $/GJ.

کلیدواژه‌ها English

Taguchi Method Biogas
Fueled Gas Turbine Cogeneration Energy and Exergy Efficiency

Smiley face

[1] Kaur S, Kumar R, Singh K, Singh S. Systematic review of hydrogen, biomass, biogas, and solar photovoltaics in hybrid renewable energy systems: Advancements, challenges, and future directions. International Journal of Hydrogen Energy. 2025;137:160-89.DOI 10.1016/j.ijhydene.2025.04.525
[2] Mehdikhani V, Mirzaee I, Khalilian M, Abdolalipouradl M. Thermodynamic and exergoeconomic assessment of a new combined power, natural gas, and hydrogen system based on two geothermal wells. Applied Thermal Engineering. 2022;206:118116.DOI 10.1016/j.applthermaleng.2022.118116
[3] Abdolalipouradl M, Khalilarya S, Jafarmadar S. Exergoeconomic analysis of a novel integrated transcritical CO2 and Kalina 11 cycles from Sabalan geothermal power plant. Energy Conversion and Management. 2019;195:420-35.DOI 10.1016/j.enconman.2019.05.027
[5] Abdolalipouradl M, Mohammadkhani F, Khalilarya S. A comparative analysis of novel combined flash-binary cycles for Sabalan geothermal wells: Thermodynamic and exergoeconomic viewpoints. Energy. 2020;209:118235.DOI 10.1016/j.energy.2020.118235
[7] AlNouss A, McKay G, Al-Ansari T. Production of syngas via gasification using optimum blends of biomass. Journal of Cleaner Production. 2020;242:118499.DOI 10.1016/j.jclepro.2019.118499
[8] Abbasi T, Tauseef S, Abbasi S. Anaerobic digestion for global warming control and energy generation—An overview. Renewable and sustainable energy reviews. 2012;16(5):3228-42.DOI 10.1016/j.rser.2012.02.046
[9] Ahmad AA, Zawawi NA, Kasim FH, Inayat A, Khasri A. Assessing the gasification performance of biomass: A review on biomass gasification process conditions, optimization and economic evaluation. Renewable and Sustainable Energy Reviews. 2016;53:1333-47.DOI 10.1016/j.rser.2015.09.030
[10] Zahedi R, Ahmadi A, Dashti R. Energy, exergy, exergoeconomic and exergoenvironmental analysis and optimization of quadruple combined solar, biogas, SRC and ORC cycles with methane system. Renewable and Sustainable Energy Reviews. 2021;150:111420.DOI 10.1016/j.rser.2021.11142
[11] Liu J, Hsu C-Y, Ahmad SF, Alotaibi MA, Allahham MI, Qin M. Design and energy, exergy, thermoeconomic, and exergo-environmental (4E) analyses of a novel hybrid geothermal/biogas-powered green multi-generation system using a post-combustion CO2 capture unit. Applied Energy. 2025;377:124662.DOI 10.1016/j.apenergy.2024.124662
[12] Fan L, Su Z. Simultaneous multi-objective optimization of a biogas-based power generation and brine desalination system for using in sport facilities. Case Studies in Thermal Engineering. 2025;69:105958.DOI 10.1016/j.csite.2025.105958
[13] Abdolalipouradl M, Mohammadkhani F, Yari M. The potential of a novel multigeneration system based on a biogas-fueled gas turbine: Thermodynamic, exergoeconomic, and multi-objective assessments. Renewable Energy. 2025:123282.DOI 10.1016/j.renene.2025.123282
[14] Roy RK. A primer on the Taguchi method: Society of manufacturing engineers; 2010.
[15] Tsui K-L. An overview of Taguchi method and newly developed statistical methods for robust design. Iie Transactions. 1992;24(5):44-57.DOI 10.1080/07408179208964244
[16] Karna SK, Sahai R. An overview on Taguchi method. International journal of engineering and mathematical sciences. 2012;1(1):1-7
[17] Ustaoglu A, Kursuncu B, Kaya AM, Caliskan H. Analysis of vapor compression refrigeration cycle using advanced exergetic approach with Taguchi and ANOVA optimization and refrigerant selection with enviroeconomic concerns by TOPSIS analysis. Sustainable Energy Technologies and Assessments. 2022;52:102182.DOI 10.1016/j.seta.2022.102182
[18] Ustaoglu A, Kursuncu B, Alptekin M, Gok MS. Performance optimization and parametric evaluation of the cascade vapor compression refrigeration cycle using Taguchi and ANOVA methods. Applied Thermal Engineering. 2020;180:115816.DOI 10.1016/j.applthermaleng.2020.115816
[19] Özdemir Küçük E, Kılıç M. Exergoeconomic analysis and multi-objective optimization of ORC configurations via Taguchi-Grey Relational Methods. Heliyon. 2023;9(4):e15007.DOI 10.1016/j.heliyon.2023.e15007
[20] Khalilarya S, Chitsaz A, Mojaver P. Optimization of a combined heat and power system based gasification of municipal solid waste of Urmia University student dormitories via ANOVA and taguchi approaches. International Journal of Hydrogen Energy. 2021;46(2):1815-27.DOI 10.1016/j.ijhydene.2020.10.020
[21] Naderi M, Vajdi M, Moghanlou FS. Sensitivity Analysis of the Effective Parameters on the performance of a solar and geothermal driven ORC by Taguchi Method. Journal of Mechanical Engineering University of Tabriz. 2024;54(2):31-40 (in persian).DOI 10.22034/jmeut.2024.60069.3367
[22] Hosseini SE, Wahid MA. Development of biogas combustion in combined heat and power generation. Renewable and Sustainable Energy Reviews. 2014;40:868-75
[23] Gholizadeh T, Vajdi M, Mohammadkhani F. Thermodynamic and thermoeconomic analysis of basic and modified power generation systems fueled by biogas. Energy conversion and management. 2019;181:463-75.DOI 10.1016/j.enconman.2018.12.011
[24] Khalilarya S. Exergy analysis of a new proposal combined cycle from Sabalan geothermal source. Modares Mechanical Engineering. 2018;18(4):11-22 (in persian).DOR :20.1001.1.10275940.1397.18.4.15.8
[25] Abdolalipouradl M, Khalilarya S, Jafarmadar S. Energy and Exergy Analysis of a New Power, Heating, Oxygen and Hydrogen Cogeneration Cycle Based on the Sabalan Geothermal Wells. International Journal of Engineering. 2019;32(3):445-50
[26] Ni M, Leung MK, Leung DY. Energy and exergy analysis of hydrogen production by a proton exchange membrane (PEM) electrolyzer plant. Energy conversion and management. 2008;49(10):2748-56.DOI 10.1016/j.enconman.2008.03.018
[27] Nafey A, Sharaf M. Combined solar organic Rankine cycle with reverse osmosis desalination process: energy, exergy, and cost evaluations. Renewable Energy. 2010;35(11):2571-80
[30] Bejan A, Tsatsaronis G, Moran M. Thermal design and optimization: John Wiley & Sons; 1996.
[31] SABERI MA, Adibi T. Thermodynamic and Exergoeconomic Analysis and Optimization of a Standard Ammonia-Water Generator-Absorber Heat Exchange (GAX) Based Absorption Refrigeration Cycle. 2020
[32] Hosseini SE, Barzegaravval H, Wahid MA, Ganjehkaviri A, Sies MM. Thermodynamic assessment of integrated biogas-based micro-power generation system. Energy conversion and management. 2016;128:104-19.DOI 10.1016/j.enconman.2016.09.064
[33] Abdolalipouradl M, Mohammadkhani F, Khalilarya S, Yari M. Thermodynamic and exergoeconomic analysis of two novel tri-generation cycles for power, hydrogen and freshwater production from geothermal energy. Energy Conversion and Management. 2020;226:113544.DOI 10.1016/j.enconman.2020.113544
[34] Mohammad Bagheri S, Naderi M, Vajdi M, Sadegh Moghanlou F, Tarlani Beris A. Numerical optimization of sample and die geometric parameters to increase the attainable temperature during spark plasma sintering of TiC ceramics. Synthesis and Sintering. 2023;3(4):213-25.DOI 10.53063/synsint.2023.34179
[35] Naderi M, Vajdi M, Abdolalipouradl M, Mohammadkhani F. Optimization using RSM of combined cycle of power, NG, and hydrogen production by a bi-geothermal energy resource and LNG heat sink. Case Studies in Thermal Engineering. 2025;74:106925.DOI 10.1016/j.csite.2025.106925
دوره 14، شماره 2 - شماره پیاپی 36
پاییز و زمستان
اسفند 1404
صفحه 83-103

  • تاریخ دریافت 0-976 فروردین 786
  • تاریخ بازنگری 0-930 فروردین 786
  • تاریخ پذیرش 0-911 فروردین 786
  • تاریخ انتشار 19 مهر 1405