2 research outputs found

    Mathematical modeling the heat balance of a solar pond device

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    This article describes the method of accumulation and use of solar energy in the development of heat energy necessary for industrial processes and building heat supply in the southern climate of Uzbekistan. The thermal and technical calculation of the experimental solar pond built in the city of Karshi (size is 0.7m and 1.5m, height is 1.5m) is presented in the research paper. The energy storage efficiency of the solar pond layers was calculated analytically at 25% salt concentration of pond water, in values of 700 W/m2, 800 W/m2, 900 W/m2 and 1000 W/m2 of solar radiation, in values of 20 оС, 25 оС, 30 оС, 35 оС of ambient temperature in the non-stationary mode of solar pond device. Mathematical model of the time variation of layer temperatures was developed (on the basis of boundary conditions) during the propagation and absorption of solar radiation along the depth of the solar pond

    Renewable Energy Resource Assessment and Forecasting

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    In recent years, several projects and studies have been launched towards the development and use of new methodologies, in order to assess, monitor, and support clean forms of energy. Accurate estimation of the available energy potential is of primary importance, but is not always easy to achieve. The present Special Issue on ‘Renewable Energy Resource Assessment and Forecasting’ aims to provide a holistic approach to the above issues, by presenting multidisciplinary methodologies and tools that are able to support research projects and meet today’s technical, socio-economic, and decision-making needs. In particular, research papers, reviews, and case studies on the following subjects are presented: wind, wave and solar energy; biofuels; resource assessment of combined renewable energy forms; numerical models for renewable energy forecasting; integrated forecasted systems; energy for buildings; sustainable development; resource analysis tools and statistical models; extreme value analysis and forecasting for renewable energy resources
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