Proceedings ArticleDOI
Photonic Energy Harvesting: Boosting Energy Yield of Commodity Solar Photovoltaic Systems via Software Defined IoT Controls
Nitin Singh,Dayama Pankaj S,Sukanya Randhawa,Kalyan Dasgupta,Manikandan Padmanaban,Shivkumar Kalyanaraman,Jagabondhu Hazra +6 more
- pp 56-66
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TLDR
The software-defined IoT control allows a variety of current and future operational or business constraints to be flexibly factored in to tradeoff these factors versus economic gain (eg: levelized cost of energy, LCOE).Abstract:
Solar photovoltaic (PV) systems have a utilization (or capacity) factor of 15-20% worldwide We propose to enhance the energy yield in a software-defined manner by complementing commodity solar PV systems with cloud-based IoT-controlled reflectors We also propose designs for brownfield and greenfield settings in solar farms We study a number of practical engineering issues including effect of solar azimuth, shadowing effects, ground coverage ratio (GCR) tradeoff, constraints on angular control etc Our designs can raise solar PV energy yield between 50-100% with modest tradeoffs on operational complexity, land requirements (ground coverage ratio) etc The software-defined IoT control allows a variety of current and future operational or business constraints to be flexibly factored in to tradeoff these factors versus economic gain (eg: levelized cost of energy, LCOE) The paper presents both simulation and experimental evidence for our system We are actively piloting this technology with solar PV developers and engineering, procurement, construction (EPC) companies in emerging marketsread more
Citations
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Power from the Sun
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A Deep Learning Approach to Solar-Irradiance Forecasting in Sky-Videos
TL;DR: In this article, a deep learning approach was proposed to estimate and forecast solar irradiance from time-lapsed videos (sky-videos) obtained from upward facing wide-lensed cameras (skycameras).
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Internet of Things Driven Framework for Smart Solar Energy System
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Book ChapterDOI
Implementing the Internet of Things for Renewable Energy
TL;DR: A number of key developments that are required to pollinate the full deployment of a dynamic SG, managed under EIoT mechanisms are described, including the development and deployment of the essential mechanisms for security that will need to ensure safe and reliable grid operations.
References
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Journal Article
Planetary Theories in rectangular and spherical variables: VSOP87 solution.
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TL;DR: In this paper, the solutions analytiques VSOP (Variation Seculaire des Orbites Planetaires) du mouvement des planetes generalement donnees sous forme elliptique sont ici presentees sous leur forme cartesienne and spherique bien plus maniable.