عنوان

Solar forecasting review

شماره

TL7zv8s0w9

زبان متن نوشتاري يا گفتاري و مانند آن

انگلیسی

عنوان اصلي

Solar forecasting review

نام عام مواد

[Thesis]

نام نخستين پديدآور

Inman, Richard Headen

نام ناشر، پخش کننده و غيره

UC San Diego

تاریخ نشرو بخش و غیره

2012

کسي که مدرک را اعطا کرده

UC San Diego

امتياز متن

2012

متن يادداشت

There has recently been a global increased interest in expanding the renew- able energy portfolio of many countries. One of the most promising technologies is that of solar photovoltaics due to the high solar resource potential. However, the solar resource at ground level is highly dependent on local meteorological conditions such as aerosol content and most notably cloud fields. This renders the solar resource inherently variable which poses problems associated with the cost of dispatchable and ancillary generators and grid reliability. As a result, high accuracy forecasts are required on multiple time horizons. The theory as well as various examples of applications in the literature are given for a number of fore- casting methods including stochastic techniques, artificial neural networks, clear sky models, persistence models, numerical weather predictions as well as satellite and ground based imaging techniques. The limited range of spatial and temporal horizon is discussed for each method and the conclusion is drawn that a high fidelity solar forecast engine would need to take advantage of a number of different forecasting methods in order to span all spatial and temporal horizons of interest

مستند نام اشخاص تاييد نشده

Inman, Richard Headen

مستند نام تنالگان تاييد نشده

UC San Diego

نام الکترونيکي

فرمت انتشار

p

نوع ماده

[Thesis]

کد کاربرگه

276903

سطح دسترسي

a

تكميل شده

Y