بهینه سازی سیستم انرژی بر پایه ی پیل سوختی اکسید جامد هدایت پروتونی با شیوه ی یادگیری ماشین

نوع مقاله : مقاله پژوهشی

نویسنده

گروه مهندسی مکانیک، دانشگاه صنعتی کرمانشاه، کرمانشاه، ایران.

چکیده

در پژوهش حاضر، یک سیستم انرژی بر پایه‌ی پیل سوختی اکسید جامد با هدایت پروتونی پیشنهاد شده است، که سوخت آن با استفاده از گازسازی زباله­های جامد شهری تأمین می­‌شود. پارامترهای هدف، توان خالص تولیدی و میزان نشر دی‌اکسیدکربن هستند؛ که به ازاء تغییرات پارامترهای عملیاتی چگالی جریان، دمای ورودی، و نسبت مصرف سوخت پیل سوختی اکسید جامد مطالعه شده‌‌اند. با استفاده از روش یادگیری ماشین، مدل­های رگرسیون برای پیش‌بینی رفتار خروجی­ها استخراج شده است. سپس بهینه­سازی دوهدفه به‌منظور بیشینه‌سازی توان خالص تولیدی و کمینه‌سازی دی‌اکسیدکربن منتشرشده انجام شده و نتایج نشان داده است که بهینه­ترین حالت به ازاء چگالی جریان حدوداً برابر 5798 آمپر بر مترمربع، دمای ورودی برابر 800 درجه‌ی سلسیوس، و  نسبت مصرف سوخت برابر 80/0 به‌دست آمده است. در شرایط بهینه، مقدار توان خالص تولیدی برابر 3/315 کیلووات و میزان دی‌اکسیدکربن منتشرشده برابر 4/1001 کیلوگرم بر مگاوات ساعت به‌دست آمده است.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Performance and Emission Analysis of an Energy System Based on Thermochemical Processes and a Proton-Conducting Electrolyte Fuel Cell

نویسنده [English]

  • Parisa Mojaver
Department of Mechanical Engineering, Kermanshah University of Technology, Kermanshah, Iran
چکیده [English]

In this study, the performance of a hybrid system based on a thermochemical process and a proton-conducting electrolyte fuel cell is investigated from the perspectives of energy production and environmental emissions. To study the system behavior, machine learning-based regression methods were employed, and after data preprocessing, the models were trained and validated. Subsequently, system optimization was carried out with the objectives of maximizing power output and minimizing environmental emissions. The results indicate that increasing the current density and inlet temperature leads to higher power generation, while high current densities result in increased carbon dioxide emissions. The optimal operating conditions were achieved at a current density of 5798 A/m2, a temperature of 800 °C, and a fuel utilization ratio of 0.80. The minimum carbon dioxide emissions, independent of the fuel utilization ratio, were obtained at current densities below 3500 A/m2, ranging between 500 and 800 kg/MWh.

کلیدواژه‌ها [English]

  • Proton-conducting SOFC
  • energy system
  • machine learning
  • regression model

مراجع

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