Prediction of Hydropower Generation Based on the Rainfall Value by Using the Monte Carlo Method for energy management

  • سال انتشار: 1390
  • محل انتشار: همایش منطقه ای مهندسی مکانیک خودرو
  • کد COI اختصاصی: AUTOENG01_042
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 2077
دانلود فایل این مقاله

نویسندگان

Abazar Vahdat Azad

Department of mechanical Engineering, Faculty of Engineering, Islamic Azad University, Tehran South branch

Nader Vahdat Azad

Department of mechanical Engineering Faculty of Mechanical Engineering, K.N. Toosi University of Technology

Ali Behbahania

۳, Department of mechanical Engineering Faculty of Mechanical Engineering, K.N. Toosi University of Technology

چکیده

Rainfall in the catchment and river of hydropower plants is considered as the most important factor for evaluation and modeling of hydropower generation of plants. In this paper, modeling of Amir Kabir plant's hydropower generation has been done according to annual rainfall in its catchment. Then rainfall in catchment of the Amir Kabir hydropower plant is modeled using Monte Carlo method, and employed for forecasting rainfall in the coming years. Assessment of power generation of hydroelectric plants is important help in planning and management of the electric generating systems. Overall model that is obtained in this study have important applications. Managers can use it to know ability to produce hydropower in short-term of the coming years. In the long term potential impact of probable climate change in the corresponding catchment and hydropower generation can be estimated

کلیدواژه ها

Energy management- Hydropower Plants- Hydroelectric Power Generation- Relationship of Precipitation and Hydro Electrical Energy- Monte Carlo Modeling, climate change and energy production

مقالات مرتبط جدید

اطلاعات بیشتر در مورد COI

COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.

کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.