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    Полное описание

    Weather modeling and forecasting of PV systems operation / M. Paulescu [et al.]. - London [etc.] : Springer, 2013. - on-line. - (Green energy and technology). - URL: http://dx.doi.org/10.1007/978-1-4471-4649-0, http://link.springer.com/book/10.1007/978-1-4471-4649-0. - Загл. с экрана. - ISBN 978-1-4471-4649-0. - Текст : электронный.
    Содержание:
    The future of the energy mix paradigm -- Solar radiation measurements -- State of the sky assessment -- Stability of the radiative regime -- Modeling Solar Radiation at the Earth Surface -- Time series forecasting -- Fuzzy logic approaches -- Air temperature based models -- Outdoor operations of PV systems -- Forecasting the power output of PV systems -- Perspectives.

    ГРНТИ УДК
    44.29.29621.311.2.016.32

    Рубрики:
    energy
    renewable energy resources
    energy harvesting
    meteorology
    atmospheric sciences
    applied mathematics
    engineering mathematics
    renewable energy sources
    alternate energy sources
    green energy industries
    energy
    energy Harvesting
    meteorology
    renewable and Green Energy
    environmental Monitoring/Analysis
    applMathematics/Computational Methods of Engineering
    atmospheric Sciences

    Кл.слова (ненормированные): МОДЕЛИРОВАНИЕ -- ПОГОДНЫЕ УСЛОВИЯ -- РАБОТА В ЭНЕРГОСИСТЕМЕ -- РЕЖИМ РАБОТЫ -- СОЛНЕЧНЫЕ УСТАНОВКИ
    Аннотация: In the past decade, there has been a substantial increase of grid-feeding photovoltaic applications, thus raising the importance of solar electricity in the energy mix. This trend is expected to continue and may even increase. Apart from the high initial investment cost, the fluctuating nature of the solar resource raises particular insertion problems in electrical networks. Proper grid managing demands short- and long-time forecasting of solar power plant output. Weather modeling and forecasting of PV systems operation is focused on this issue. Models for predicting the state of the sky, nowcasting solar irradiance and forecasting solar irradiation are studied and exemplified. Statistical as well as artificial intelligence methods are described. The efficiency of photovoltaic converters is assessed for any weather conditions. Weather modeling and forecasting of PV systems operation is written for researchers, engineers, physicists and students interested in PV systems design and utilization.
    Доп. точки доступа:
    Paulescu, M.
    Paulescu, E.
    Gravila, P.
    Badescu, V.

    http://dx.doi.org/10.1007/978-1-4471-4649-0

    http://link.springer.com/book/10.1007/978-1-4471-4649-0


    Держатели документа:
    Государственная публичная научно-техническая библиотека России : 123298, г. Москва, ул. 3-я Хорошевская, д. 17 (Шифр в БД-источнике (KATBW): ?-795947377)
    Государственная публичная научно-техническая библиотека России : 123298, г. Москва, ул. 3-я Хорошевская, д. 17 (Шифр в БД-источнике (KATBW): -060514245)

    Шифр в сводном ЭК: 40e4d1174e48a8e599b9fd54b1f4a00d



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