WO2023111934A1 - Système et procédé d'estimation d'éclairement énergétique sur panneaux solaires - Google Patents

Système et procédé d'estimation d'éclairement énergétique sur panneaux solaires Download PDF

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Publication number
WO2023111934A1
WO2023111934A1 PCT/IB2022/062291 IB2022062291W WO2023111934A1 WO 2023111934 A1 WO2023111934 A1 WO 2023111934A1 IB 2022062291 W IB2022062291 W IB 2022062291W WO 2023111934 A1 WO2023111934 A1 WO 2023111934A1
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WO
WIPO (PCT)
Prior art keywords
solar panels
processor
solar
light source
ray
Prior art date
Application number
PCT/IB2022/062291
Other languages
English (en)
Inventor
Navneet Anand SAH
Siddharth GANGAL
Original Assignee
Panelstack, Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Panelstack, Inc filed Critical Panelstack, Inc
Publication of WO2023111934A1 publication Critical patent/WO2023111934A1/fr

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T15/00—3D [Three Dimensional] image rendering
    • G06T15/06—Ray-tracing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/10—Geometric CAD
    • G06F30/17—Mechanical parametric or variational design
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T15/00—3D [Three Dimensional] image rendering
    • G06T15/50—Lighting effects
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/004—Generation forecast, e.g. methods or systems for forecasting future energy generation
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
    • H02S40/00—Components or accessories in combination with PV modules, not provided for in groups H02S10/00 - H02S30/00
    • H02S40/30—Electrical components
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
    • H02S50/00—Monitoring or testing of PV systems, e.g. load balancing or fault identification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/06—Power analysis or power optimisation

Definitions

  • the advantages achieved by the system of the present disclosure can be clear from the embodiments provided herein.
  • the system is computationally inexpensive and can be used on low-level machines and real-time applications.
  • the system generates the shadow map using fewer computational resources enabling the user to visualize interactively at every step of designing, rather than waiting for the completion of the designing process and the generation of shadow analysis.
  • the description of terms and features related to the present disclosure shall be clear from the embodiments that are illustrated and described; however, the invention is not limited to these embodiments only. Numerous modifications, changes, variations, substitutions, and equivalents of the embodiments are possible within the scope of the present disclosure. Additionally, the invention can include other embodiments that are within the scope of the claims but are not described in detail with respect to the following description.
  • System 100 can include a shadow engine 212 (shown in FIG. 2 and described in detail below) that can provide an irradiation estimate for one or more solar panels 102 (also referred to as solar panel 102, herein) by ray casting from an object to a light source 104, where the object can be solar panels 102and the light source 104 is the sun.
  • the solar panels 102 have a front surface, a back surface and a plurality of sides.
  • the solar panels 102 are generally composed of a plurality of solar cells that are arranged in a grid-like pattern on a substrate.
  • the solar cells are typically made of silicon, and are connected together in series and/or parallel to form the solar panel 102. In operation, the solar panel converts sunlight into electrical energy that can be used to power electrical devices.
  • Battery size estimation based on demographic and solar plant size An estimate of battery size required for a site based on their demographic e.g., a house with a family of 4 members, shopping mall, school building and the like is provided and the solar plant size can be planned based on the self-sufficiency and grid reliability requirements.
  • FIG. 2 illustrates an exemplary functional component of system, according to an embodiment of the present disclosure.
  • the processor can perform the calculation of the sun position at each hour based on the geolocation coordinates like latitude, longitude and altitude.
  • computer system 400 includes an external storage device 410, a bus 420, a main memory 430, a read only memory 440, a mass storage device 450, communication port 460, and a processor 470.
  • processor 470 include, but are not limited to, an Intel® Itanium® or Itanium 2 processor(s), or AMD® Opteron® or Athlon MP® processor(s), Motorola® lines of processors, FortiSOCTM system on a chip processors or other future processors.
  • Processor 470 may include various units associated with embodiments of the present invention.
  • Memory 430 can be Random Access Memory (RAM), or any other dynamic storage device commonly known in the art.
  • Read only memory 440 can be any static storage device(s) e.g., but not limited to, a Programmable Read Only Memory (PROM) chips for storing static information e.g., start-up or BIOS instructions for processor 470.
  • Mass storage 450 may be any current or future mass storage solution, which can be used to store information and/or instructions. Exemplary mass storage solutions include, but are not limited to, Parallel Advanced Technology Attachment (PATA) or Serial Advanced Technology Attachment (SATA) hard disk drives or solid-state drives (internal or external, e.g., having Universal Serial Bus (USB) and/or Firewire interfaces), e.g.
  • PATA Parallel Advanced Technology Attachment
  • SATA Serial Advanced Technology Attachment
  • USB Universal Serial Bus

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Geometry (AREA)
  • Evolutionary Computation (AREA)
  • Computer Hardware Design (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Graphics (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Mathematical Analysis (AREA)
  • Computational Mathematics (AREA)
  • Power Engineering (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

La présente divulgation utilise un système (100) configuré pour estimer l'éclairement énergétique sur des panneaux solaires. Le système (100) peut comprendre un dispositif informatique (106) configuré pour effectuer le calcul des bords de tout obstacle. Le dispositif informatique (106) est configuré pour effectuer le calcul de la position du soleil à chaque heure d'après des coordonnées de géolocalisation telles que la latitude, la longitude et l'altitude. Pour chaque panneau solaire, l'inclinaison et l'azimut sont pris en compte. Un rayon de lumière est tracé par simulation du panneau solaire par rapport à la direction du soleil. En présence d'un obstacle pour le rayon, ce panneau particulier est considéré comme ombré lors de l'horodatage. En l'absence d'obstacle entre le panneau et le soleil, le panneau est considéré comme non ombré.
PCT/IB2022/062291 2021-12-15 2022-12-15 Système et procédé d'estimation d'éclairement énergétique sur panneaux solaires WO2023111934A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
IN202111058489 2021-12-15
IN202111058489 2021-12-15

Publications (1)

Publication Number Publication Date
WO2023111934A1 true WO2023111934A1 (fr) 2023-06-22

Family

ID=86773858

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/IB2022/062291 WO2023111934A1 (fr) 2021-12-15 2022-12-15 Système et procédé d'estimation d'éclairement énergétique sur panneaux solaires

Country Status (1)

Country Link
WO (1) WO2023111934A1 (fr)

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5313568A (en) * 1990-05-31 1994-05-17 Hewlett-Packard Company Three dimensional computer graphics employing ray tracing to compute form factors in radiosity
US20140207431A1 (en) * 2013-01-23 2014-07-24 Massachusetts Institute Of Technology Urban mapping technique for photovoltaic potential of rooftops
US20140313198A1 (en) * 2013-04-22 2014-10-23 Nvidia Corporation System, method, and computer program product for performing path space filtering
US20160078159A1 (en) * 2014-09-16 2016-03-17 Katholieke Universiteit Leuven, KU LEUVEN R&D Simulation of Photovoltaic Modules
WO2016196294A1 (fr) * 2015-05-29 2016-12-08 Vega-Avila Rolando E Imagerie de prédiction d'énergie solaire distribuée
WO2017193172A1 (fr) * 2016-05-11 2017-11-16 Commonwealth Scientific And Industrial Research Organisation Prévision d'énergie solaire
US20210049807A1 (en) * 2019-08-18 2021-02-18 Nvidia Corporation Ray-tracing with irradiance caches

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5313568A (en) * 1990-05-31 1994-05-17 Hewlett-Packard Company Three dimensional computer graphics employing ray tracing to compute form factors in radiosity
US20140207431A1 (en) * 2013-01-23 2014-07-24 Massachusetts Institute Of Technology Urban mapping technique for photovoltaic potential of rooftops
US20140313198A1 (en) * 2013-04-22 2014-10-23 Nvidia Corporation System, method, and computer program product for performing path space filtering
US20160078159A1 (en) * 2014-09-16 2016-03-17 Katholieke Universiteit Leuven, KU LEUVEN R&D Simulation of Photovoltaic Modules
WO2016196294A1 (fr) * 2015-05-29 2016-12-08 Vega-Avila Rolando E Imagerie de prédiction d'énergie solaire distribuée
WO2017193172A1 (fr) * 2016-05-11 2017-11-16 Commonwealth Scientific And Industrial Research Organisation Prévision d'énergie solaire
US20210049807A1 (en) * 2019-08-18 2021-02-18 Nvidia Corporation Ray-tracing with irradiance caches

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