Geospatial optimization of solar energy : cases from around the world / / Jay Doorga, Soonil Rughooputh, Ravindra Boojhawon

• Autore: Doorga Jay
• Pubblicazione: Cham, Switzerland : , : Springer, , [2022]; ©2022
• Descrizione fisica: 1 online resource (84 pages)
• Disciplina: 910.285
• Soggetto topico: Geographic information systems
• Persona (resp. second.): RughooputhSoonil; BoojhawonRavindra
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Intro -- Foreword -- Preface -- Acknowledgements -- Contents -- About the Authors -- Acronyms -- 1 Introduction -- 1.1 Global Energy Context -- 1.2 Solar Resource Potential and Geospatial Constraints -- 1.3 Scope of This Work -- 1.4 Book Structure -- References -- 2 Solar Energy -- 2.1 Radiation Journey from Sun to Earth -- 2.2 Solar Radiation Budget -- 2.3 Solar Spectrum Theory and Atmospheric Interaction -- 2.4 Solar Radiation Components -- 2.5 Photovoltaic Effect -- 2.6 Photovoltaic Solar Energy -- 2.7 Measurement of Solar Parameters -- 2.8 Spatio-Temporal Variations in Insolation -- 2.8.1 Seasonal, Latitudinal, and Daily Variations -- 2.8.2 Cloud Cover and Topographic Influence -- References -- 3 Geospatial Modelling of Solar Radiation Climate -- 3.1 Solar Resource Assessment and Optimization -- 3.2 Satellite-Based Resource Assessment -- 3.3 Weather Research Forecasting (WRF) -- 3.4 Regression Analysis -- 3.5 Extraterrestrial Solar Radiation -- 3.6 Solar Radiation Models -- 3.6.1 Sunshine-Based Models -- 3.6.2 Temperature-Based Models -- 3.6.3 Cloud-Based Models -- 3.6.4 Hybrid-Parameter-Based Models -- 3.7 Mapping Spatially Interpolated Insolation Measurements -- 3.8 Relevance of Insolation Maps for Land Management -- References -- 4 Geolocating Optimum Sites for Solar Farms -- 4.1 Utility-Scale Solar Photovoltaic Power Plants -- 4.2 Constraint Regions for Solar Farm Constructions -- 4.3 Influential Factors Dictating Solar Farm Placements -- 4.4 GIS-Based MCDA Technique -- 4.4.1 Z-Score Normalization -- 4.4.2 Analytical Hierarchy Process -- 4.4.3 Weighted Linear Combination -- 4.5 Application of the Model for Sites Identification -- 4.5.1 Case of Hawaii (Pacific Ocean) -- 4.5.2 Case of Mauritius (Indian Ocean) -- 4.6 Concentrated Solar Power (CSP) Systems -- 4.7 Floating Photovoltaic Systems -- 4.8 Solar Hybrid Options. ; 4.9 Boosting Energy Production and Minimizing Land Space -- 4.10 Policy Incentives to Increase Utility-Scale Solar Capacity -- References -- 5 Optimizing on Rooftop Solar Technologies-Photovoltaic and Solar Water Heating -- 5.1 Rooftop Solar Energy Potential -- 5.2 Rooftop Photovoltaic Potential -- 5.3 Solar Water Heating (SWH) Potential -- 5.4 A Geostatistical Approach for Rooftop Potential Assessments -- 5.4.1 Sampling of Building Rooftops -- 5.4.2 Acquisition of Rooftop Coefficients -- 5.4.3 Estimation of Total Rooftop Area -- 5.4.4 Available Rooftop Space for PV and SWH Exploitations -- 5.5 Solar Urban Planning -- 5.6 Policy Incentives to Drive Rooftop PV and SWH Adoption -- References -- 6 Conclusions -- 6.1 Land Planning to Approach Energy Optimization -- 6.2 Towards Energy Security and Socio-Economic Welfare -- 6.3 Closing Remarks -- 6.4 Recommendations for Future Work -- Appendix A Data Sources -- Appendix B Analysis Tools and Techniques -- Index.
• Titolo autorizzato: Geospatial Optimization of Solar Energy
• ISBN: 3-030-95213-4
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910544873803321
• Lo trovi qui: Univ. Federico II
• Serie: SpringerBriefs in energy.