Thermodynamic Modeling and Analysis of a Solar and Geothermal-driven Multigeneration System Using TiO۲ and SiO۲ Nanoparticles
Publish place: Iranica Journal of Energy and Environment، Vol: 14، Issue: 2
Publish Year: 1402
نوع سند: مقاله ژورنالی
زبان: English
View: 158
This Paper With 12 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IJEE-14-2_005
تاریخ نمایه سازی: 24 بهمن 1401
Abstract:
In this study, renewable energy sources including a high-temperature solar parabolic trough collector and geothermal water integrated with a modified Kalina cycle, a combined ORC-EJR cycle, an electrolyzer, an RO desalination unit, and a domestic water heater. SiO۲ and TiO۲ nanoparticles dissolved in Therminol VP۱ are applied as the working fluid of the solar collector. A comparative analysis of introduced working fluids is performed from energy, exergy as well as cost analysis point of view to evaluate their efficiencies. Solar irradiation, ambient temperature, and collector inlet temperature were the parameters investigated to discover their effects on energy and exergy efficiency, solar collector outlet temperature, hydrogen production rate, and freshwater production rate. The highest generated outlet temperature of the solar collector outlet was ۶۹۳.۸ K obtained by Therminol VP۱/SiO۲ nanofluid. The maximum energy and exergy efficiencies of the proposed system were ۳۶.۶۹ % and ۱۷.۷۶ %, respectively. Moreover, it is found that by increasing the solar collector inlet temperature, the hydrogen production rate decreases while the water production rate increases.
Keywords:
Authors
A. Habibzadeh
Department of Mechanical Engineering, Engineering Faculty, Urmia University, Urmia, Iran
M. Abbasalizadeh
Department of Mechanical Engineering, Engineering Faculty, Urmia University, Urmia, Iran
I. Mirzaee
Department of Mechanical Engineering, Engineering Faculty, Urmia University, Urmia, Iran
S. Jafarmadar
Department of Mechanical Engineering, Engineering Faculty, Urmia University, Urmia, Iran
H. Shirvani
Faculty of Science and Engineering, Anglia Ruskin University, Chelmsford, UK
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :