تحلیل ترمواکونومیک-زیست‌محیطی و بهینه‌سازی یک سامانه تولیدکننده توان و گرما مبتنی بر انرژی زمین‌گرمایی با استفاده از الگوریتم ژنتیک

نوع مقاله : مقاله علمی

نویسندگان
سیدامیرحسین اکبری 1
سیده محدثه میری 2
جواد ابوالفضلی اصفهانی 3
1 دانشجوی کارشناسی ارشد، دانشکده مهندسی مکانیک، دانشگاه فردوسی، مشهد، ایران
2 استادیار، دانشکده فنی و مهندسی، گروه مهندسی مکانیک، دانشگاه زابل، زابل، ایران
3 استاد، دانشکده فنی و مهندسی، گروه مهندسی مکانیک، دانشگاه فردوسی، مشهد، ایران
10.22034/stme.2025.515220.1118
چکیده
در این پژوهش، یک سامانه تولید هم‌زمان برق و گرمایش مبتنی بر انرژی زمین‌گرمایی معرفی و از منظر انرژی، اگزرژی، اقتصادی و زیست‌محیطی موردبررسی و توسط الگوریتم ژنتیک بهینه‌سازی شده است. این سامانه شامل چرخه رانکین آلی و چرخه برایتون بهبودیافته بوده و باهدف بهره‌گیری از انرژی زمین‌گرمایی طراحی شده است. نتایج تحلیل انرژی نشان می‌دهد که توان خالص تولیدی سامانه برابرkW ۳۵۸۵ و نرخ حرارت گرمایشی آنkW ۱۲۲۷۸ است. بازده انرژی و اگزرژی سامانه نیز به ترتیب 9/42% و 31/47% محاسبه شده است. نتایج حاصل از تأثیرمؤلفه‌های عملیاتی نشان می‌دهد که افزایش فشار بیشینه در چرخه رانکین آلی و اختلاف دمای مبدل‌های حرارتی، تأثیرقابل‌توجهی بر بازده انرژی، اگزرژی و هزینه هم‌سطح شده محصولات دارد و با افزایش هر kPa۱۰۰ در فشار بیشینه چرخه رانکین آلی، بازده انرژی 2/11% و بازده اگزرژی 29/6% افزایش می‌یابد. همچنین، فرایند بهینه‌سازی با استفاده از الگوریتم ژنتیک برای دستیابی به حداکثر بازده انرژی و اگزرژی و حداقل هزینه هم‌سطح شده محصولات انجام شد. علاوه بر این، بهینه‌سازی سامانه پیشنهادی منجر به کاهش ۳۰% هزینه هم‌سطح شده محصولات و کاهش 4/9% شاخص اگزرژومحیط‌زیستی شده است.
کلیدواژه‌ها
تحلیل ترمواکونومیک
انرژی زمین گرمایی
تولید همزمان
موضوعات

عنوان مقاله English

Thermoeconomics Analysis and Optimization of a Geothermal-Based Power and Heat Generation System Using Genetic Algorithm

نویسندگان English

Seyed Amir Hossien Akbari 1
Seyedeh Mohadeseh Miri 2
Javad Abolfazli Esfahani 3
1 M.Sc. Student, Department of Mechanical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
2 Assistant professor, Department of Mechanical Engineering, University of Zabol, Zabol, Iran
3 Professor, Department of Mechanical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
چکیده English

In this study, a combined heat and power (CHP) system based on geothermal energy is introduced, analyzed from energy, exergy, economic, and environmental perspectives, and optimized using a genetic algorithm. The system consists of an organic Rankine cycle (ORC) and an improved Brayton cycle, designed to utilize geothermal energy. The energy analysis results show that the system's net power output is 3585 kW, and its heating heat rate is 12278 kW. The energy and exergy efficiencies of the system are calculated to be 42.9% and 47.31%, respectively. The results related to the effects of operational parameters indicate that increasing the maximum pressure in the ORC and the temperature difference across heat exchangers significantly affect energy efficiency, exergy efficiency, and the levelized cost of products. Specifically, for every 100 kPa increase in the ORC’s maximum pressure, the energy efficiency increases by 11.2%, and the exergy efficiency increases by 6.29%. Additionally, an optimization process was carried out using a genetic algorithm to maximize energy and exergy efficiencies and minimize the levelized cost of products. Furthermore, optimization of the proposed system resulted in a 30% reduction in the levelized cost of products and a 9.4% reduction in the exergoenvironmental index.

کلیدواژه‌ها English

Thermoeconomic Analysis
Geothermal Energy
Combined Heat And Power (CHP) Production

اصل مقاله

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