Book Chapters

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Author: search.filters.author.Kashyap, Y.

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    Solar Radiation Assessment and Forecasting Using Satellite Data
    (Springer Nature, 2019) Masoom, A.; Kashyap, Y.; Bansal, A.
    Since the availability of ground data is very sparse, satellite data provides an alternative method to estimate solar irradiation. Satellite data across various spectral bands may be employed to distinguish weather signatures, such as dust, aerosols, fog, and clouds. For a tropical country like India, which is potentially rich in solar energy resources, the study of these parameters is of crucial importance from the perspective of solar energy. Furthermore, a complete utilization of the solar energy depends on its proper integration with power grids. Because of its variable nature, incorporation of photovoltaic energy into electricity grids suffers technical challenges. Solar radiation is subjected to reflection, scattering and absorption by air molecules, clouds, and aerosols in the atmosphere. Clouds can block most of the direct radiation. Modern solar energy forecasting systems rely on real-time Earth observation from the satellite for detecting clouds and aerosols. © 2019, Springer Nature Singapore Pte Ltd.
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    Li-ion Battery Energy Storage Management System for Solar PV
    (Springer, 2024) Chaitrashree, C.N.; Kashyap, Y.; Sidharthan, P.V.
    Battery storage has become the most extensively used Solar Photovoltaic (SPV) solution due to its versatile functionality. This chapter aims to review various energy storage technologies and battery management systems for solar PV with Battery Energy Storage Systems (BESS). Solar PV and BESS are key components of a sustainable energy system, offering a clean and efficient renewable energy source. A background study on existing ESS, its advantages, and issues are detailed with the vital role of battery energy storage technologies, specifically LiBs, their characteristics, and SoC estimation techniques. Further, the chapter highlights integrating Battery Management Systems (BMS) with PV and BESS to ensure the efficient and reliable operation of the energy storage system. The major research gap/challenge is related to the less consideration given in terms of power consumption reduction and cost minimization, which forms multiple objective problem-solving. Multi-objective optimization with type 2 fuzzy controllers can achieve these objectives. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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    Solar Distillation and Water Heating Systems Integration with Photovoltaic Technology
    (Springer, 2024) Dev, R.; Kashyap, Y.; Tewari, K.; Pal, P.
    Solar energy is a renewable source with three major applications: photovoltaics (PV), thermal, and daylight. A photovoltaic cell has a conversion efficiency of around 16–35%, depending upon its fabrication technology. Hence, it is observed that ~65–84% of incident solar radiation is lost as thermal energy to the surroundings. At the same time, solar thermal has vast applications, e.g., solar water heating, solar greenhouse drying, solar greenhouse crop cultivation, solar distillation, solar aquaculture, etc. Solar thermal applications have a thermal efficiency of around 20–45% depending upon fabrication materials, design, operating, and weather conditions. Integrating photovoltaic and thermal applications proved advantageous over their application with better overall efficiency. Over the years, many researchers have developed various concepts integrating these technologies to get more output, cost, and land use benefits. This chapter elaborates on different ‘PV-integrated solar distillation systems’ and ‘PV-integrated solar water heating systems’ with working principles and performances. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.