Variation of monthly exploitable wave energy in the Gulf of Chabahar under a high-resolution CMIP۶
سال انتشار: 1402
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 249
فایل این مقاله در 10 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IJCOE-8-1_003
تاریخ نمایه سازی: 10 خرداد 1402
چکیده مقاله:
Electric energy consumption is growing almost all over the world. Similarly, using clean resources in coastal such as wave power is also growing. The coasts of Oman Gulf in southeast of Iran is one of the most potential areas for deriving energy from waves. The sea waves are mostly generated by wind and the climate change affect the wind field. Hence evaluating climate change effects on the wave power is essential for energy extraction. In this research, the variation of monthly average in Chabahar bay wave power under the middle scenario of future climate effect has been studied. For this, the CNRM-CM۶-SSP۲-۴۵ dataset has been downscaled with the Weibull technique, and with a calibrated wave model, wave characteristic has been calculated. Based on the results, the average annual wave power will reach ۱۰.۴ kW/m by an increase of ۳%. Total wave energy in Chabahar is about ۹۱,۰۰۰ kWh/m during the year. which will also increase by ۳% compared to the same period previous century. In the July and August, the first high energetic months, the wave power increase by ۱% on average compared to the previous period. The highest monthly increase occurs in October and with a ۲۷۷% increase, it reaches ۵۵۳۵ kW/m. The highest monthly decrease of ۲۵% occurs in June and the energy reaches from ۱۳۰۴۱ to ۹۵۱۳ kW/m.
کلیدواژه ها:
نویسندگان
Mahmoud Pourali
Faculty of Civil Engineering, K.N. Toosi University of Technology, Tehran, Iran
Mohamad Reza Kavianpour
Faculty of Civil Engineering, K.N. Toosi University of Technology, Tehran, Iran
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله 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 مقاله لینک شده اند :