WO2022115086A1 - A system for determining points of renewable energy generation - Google Patents

A system for determining points of renewable energy generation Download PDF

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Publication number
WO2022115086A1
WO2022115086A1 PCT/TR2021/051282 TR2021051282W WO2022115086A1 WO 2022115086 A1 WO2022115086 A1 WO 2022115086A1 TR 2021051282 W TR2021051282 W TR 2021051282W WO 2022115086 A1 WO2022115086 A1 WO 2022115086A1
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Prior art keywords
energy
energy generation
renewable energy
region
investment
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PCT/TR2021/051282
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French (fr)
Inventor
Oguzhan DERICI
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Turkcell Teknoloji Arastirma Ve Gelistirme Anonim Sirketi
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Publication of WO2022115086A1 publication Critical patent/WO2022115086A1/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply
    • 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
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • 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
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • 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
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/22—The renewable source being solar energy
    • 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
    • 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
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381—Dispersed generators
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Definitions

  • the present invention relates to a system for determining at which location a renewable energy source should be placed before detection of areas related to renewable energy sources.
  • the Chinese patent document no. CN110909810 discloses a renewable energy prediction method based on data mining and variational models.
  • the said renewable energy prediction method it is enabled to divide data into groups based on similar historical power generation data and various constraints by using a clustering algorithm.
  • Sub-models are created in order to ensure that an optimal solution is generated by processing historical data.
  • the created models enable to predict the amount of future renewable power generation by using learning algorithms.
  • An objective of the present invention is to realize a system which enables to calculate the amount of energy to be generated in the said region by combining and analysing various values of energy generation sources with data about geographical conditions of the region where energy generation sources will be positioned, to predict how much does the grid save by means of renewable energy upon the amount of generated energy is transferred to the grid in the said region, and to determine points of renewable energy generation.
  • Figure l is a schematic view of the inventive system for determining points of renewable energy generation.
  • the energy generation device (2) included in the inventive system (1) is a device such as wind turbine, solar panel, wave turbine which generates electrical energy in a clean way without leaving any hazardous waste in the environment, by using renewable energy sources in the form of wind, solar, wave.
  • the database (3) included in the inventive system (1) is configured to store seasonal weather condition information, geographic information, seasonal sunshine duration information of the investment region (Z) by getting in contact with the external server (ES).
  • the database (3) is configured to store the amount of electrical energy generated by the existing electrical grid (EG) in the investment region (Z).
  • the database (3) is configured to store energy generation information of the energy generation devices (2) in the form of wind turbines, solar panels, wave turbines that are planned to be used in the investment region (Z) and have capability of generating various electrical energy.
  • the server (4) included in the inventive system (1) is configured to detect how much renewable energy source does the said investment region (Z) need by analysing the data of the investment region (Z) such as weather condition information, geographic information, seasonal sunshine duration information included in the database (3), with the data of electrical energy generated by the existing electrical grid (EG) of the said investment region (Z) by means of machine learning algorithms.
  • the server (4) is configured to detect which type of energy generation devices (2) such as wind turbine, wave turbine, solar panel does the investment region (Z) need in accordance with its characteristics in the form of geographical characteristics, weather condition, seasonal sunshine duration upon detecting how much renewable energy source the investment region (Z) need and to calculate how many energy generation devices (2) will be positioned in which points of the investment region (Z).
  • the server (4) is configured to detect how much renewable energy amount will be in the energy market and in which time period the energy generated by the energy generation devices (2) will be loaded to the existing electrical grid (EG) by getting in contact with the energy generation devices (2) that are placed in conformity with the investment region (Z), controlling whether the value of electrical energy generated by the energy generation devices (2) meets the need in the existing electrical grid (EG) or not; to calculate the rate of change of the energy prices in the investment region (Z) based on the time period information; and to predict how much renewable energy has the electrical grid (EG) saved upon the amount of generated energy is transferred to the electrical grid (EG).
  • an investment region (Z) which is connected to an existing electrical grid (EG) is determined.
  • the database (3) included in the system (1) stores characteristics of the investment region (Z) such as weather condition, geographical status, seasonal sunshine duration.
  • the database (3) stores weather condition information of the investment region (Z) over the external servers (ES).
  • data of the energy generation devices (2) are stored in the database (3) such as wind turbine, solar panel, wave turbine that have the capability of generating energy different from each other.
  • the server (4) detects how much renewable energy source the investment region (Z) needs by analysing the data of the investment region (Z) by means of machine learning algorithms.
  • the server (4) calculates which type of energy generation device (2) should be placed in which point of the said investment region (Z) based on geographical characteristics of the investment region (Z).
  • the server (4) calculates the energy price in the investment region (Z), by getting in contact with the energy generation devices (2) that are placed in the investment region (Z). Time series are used for calculating the energy prices.
  • the inventive system (1) it is enabled to calculate the amount of energy to be generated in the said investment region (Z) by combining and analysing various values of energy generation sources with data about geographical conditions of the investment region (Z) where energy generation sources will be positioned, to predict how much does the electrical grid (EG) save by means of renewable energy upon the amount of generated energy is transferred to the electrical grid (EG) in the said investment region (Z).

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  • Human Resources & Organizations (AREA)
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  • Game Theory and Decision Science (AREA)
  • Operations Research (AREA)
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  • Primary Health Care (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
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Abstract

The present invention relates to a system (1) for determining at which location a renewable energy source should be placed before detection of areas related to renewable energy sources.

Description

A SYSTEM FOR DETERMINING POINTS OF RENEWABLE ENERGY
GENERATION
Technical Field
The present invention relates to a system for determining at which location a renewable energy source should be placed before detection of areas related to renewable energy sources.
Background of the Invention
Today, various studies and regulations are carried out in order that renewable energy sources which do not damage the nature are used through reduction of activities of fossil-based energy generation which damage the nature by countries. Gases occurring in the event of use of fossil-based fuels in energy generation increase the Earth's average temperature by causing a greenhouse effect in atmosphere. Power plants which utilize renewable energy such as wind, solar in order to reduce the environmental damage caused by fossil-based fuels, are installed in areas. Solar panels enhance productivity of electrical energy which is obtained from the sun, by being increasingly improved. Geographical structure of the region where areas consisting of solar panels will be positioned in the related country affects productivity of the electrical energy obtained from the sun, substantially. Besides, geographical characteristics of the region where wind turbines will be positioned also affect the intensity of energy to be generated. In the state of the art, there are solutions which enable to predict effects of wind, solar, wave energies on current systems. However, there is no solution which enables to predict how much power generation will be realized in the related region by detecting how to make an installation for solar, wind energy on the related region upon predicting the energy to be generated following the installation in the state of the art.
Due to the abovementioned reasons, there is need for a system which enables to calculate the amount of energy to be generated in the said region by combining and analysing various values of energy generation sources with data about geographical conditions of the region where energy generation sources will be positioned, to predict how much does the grid save by means of renewable energy upon the amount of generated energy is transferred to the grid in the said region, and to determine points of renewable energy generation.
The Chinese patent document no. CN110909810, an application in the state of the art, discloses a renewable energy prediction method based on data mining and variational models. In the said renewable energy prediction method, it is enabled to divide data into groups based on similar historical power generation data and various constraints by using a clustering algorithm. Sub-models are created in order to ensure that an optimal solution is generated by processing historical data. The created models enable to predict the amount of future renewable power generation by using learning algorithms.
Summary of the Invention
An objective of the present invention is to realize a system which enables to calculate the amount of energy to be generated in the said region by combining and analysing various values of energy generation sources with data about geographical conditions of the region where energy generation sources will be positioned, to predict how much does the grid save by means of renewable energy upon the amount of generated energy is transferred to the grid in the said region, and to determine points of renewable energy generation. Detailed Description of the Invention
“A System for Determining Points of Renewable Energy Generation” realized to fulfil the objective of the present invention is shown in the figure attached, in which:
Figure l is a schematic view of the inventive system for determining points of renewable energy generation.
The components illustrated in the figure are individually numbered, where the numbers refer to the following:
1. System
2. Energy generation device
3. Database 4. Server
EG. Electrical grid Z. Investment region ES. External server
The inventive system (1) for determining points of renewable energy generation which enables to detect in which position a renewable energy source should be placed before detection of renewable energy sources and related areas comprises: at least one energy generation device (2) which generates electrical energy as environmentally friendly by using renewable sources; at least one database (3) which is configured to store geographical characteristics, weather condition characteristics of the areas that are covered by the electrical grid (EG) communicating with the external server (ES); and at least one server (4) which establishes connection with the database (3), the energy generation devices (2) and the electricity generation units in the investment region (Z); calculates which type of energy generation devices (2) should be installed according to the geographical characteristics of the investment region (Z) before the energy generation devices (2) are placed in the investment region (Z); and predicts at which intensity (power) electrical energy will be generated in the energy generation devices (2) in the said investment region (Z) before the energy generation devices (2) are installed on the investment region (Z).
The energy generation device (2) included in the inventive system (1) is a device such as wind turbine, solar panel, wave turbine which generates electrical energy in a clean way without leaving any hazardous waste in the environment, by using renewable energy sources in the form of wind, solar, wave.
The database (3) included in the inventive system (1) is configured to store seasonal weather condition information, geographic information, seasonal sunshine duration information of the investment region (Z) by getting in contact with the external server (ES). The database (3) is configured to store the amount of electrical energy generated by the existing electrical grid (EG) in the investment region (Z). The database (3) is configured to store energy generation information of the energy generation devices (2) in the form of wind turbines, solar panels, wave turbines that are planned to be used in the investment region (Z) and have capability of generating various electrical energy.
The server (4) included in the inventive system (1) is configured to detect how much renewable energy source does the said investment region (Z) need by analysing the data of the investment region (Z) such as weather condition information, geographic information, seasonal sunshine duration information included in the database (3), with the data of electrical energy generated by the existing electrical grid (EG) of the said investment region (Z) by means of machine learning algorithms. The server (4) is configured to detect which type of energy generation devices (2) such as wind turbine, wave turbine, solar panel does the investment region (Z) need in accordance with its characteristics in the form of geographical characteristics, weather condition, seasonal sunshine duration upon detecting how much renewable energy source the investment region (Z) need and to calculate how many energy generation devices (2) will be positioned in which points of the investment region (Z). The server (4) is configured to detect how much renewable energy amount will be in the energy market and in which time period the energy generated by the energy generation devices (2) will be loaded to the existing electrical grid (EG) by getting in contact with the energy generation devices (2) that are placed in conformity with the investment region (Z), controlling whether the value of electrical energy generated by the energy generation devices (2) meets the need in the existing electrical grid (EG) or not; to calculate the rate of change of the energy prices in the investment region (Z) based on the time period information; and to predict how much renewable energy has the electrical grid (EG) saved upon the amount of generated energy is transferred to the electrical grid (EG).
In the inventive system (1), an investment region (Z) which is connected to an existing electrical grid (EG) is determined. The database (3) included in the system (1) stores characteristics of the investment region (Z) such as weather condition, geographical status, seasonal sunshine duration. The database (3) stores weather condition information of the investment region (Z) over the external servers (ES). In the system (1), data of the energy generation devices (2) are stored in the database (3) such as wind turbine, solar panel, wave turbine that have the capability of generating energy different from each other. The server (4) detects how much renewable energy source the investment region (Z) needs by analysing the data of the investment region (Z) by means of machine learning algorithms. The server (4) calculates which type of energy generation device (2) should be placed in which point of the said investment region (Z) based on geographical characteristics of the investment region (Z). The server (4) calculates the energy price in the investment region (Z), by getting in contact with the energy generation devices (2) that are placed in the investment region (Z). Time series are used for calculating the energy prices.
With the inventive system (1), it is enabled to calculate the amount of energy to be generated in the said investment region (Z) by combining and analysing various values of energy generation sources with data about geographical conditions of the investment region (Z) where energy generation sources will be positioned, to predict how much does the electrical grid (EG) save by means of renewable energy upon the amount of generated energy is transferred to the electrical grid (EG) in the said investment region (Z).
Within these basic concepts; it is possible to develop various embodiments of the inventive (1) for determining points of renewable energy generation; the invention cannot be limited to examples disclosed herein and it is essentially according to claims.

Claims

1. A system (1) for determining points of renewable energy generation which enables to detect in which position a renewable energy source should be placed before detection of renewable energy sources and related areas; comprising: at least one energy generation device (2) which generates electrical energy as environmentally friendly by using renewable sources; at least one database (3) which is configured to store geographical characteristics, weather condition characteristics of the areas that are covered by the electrical grid (EG) communicating with the external server (ES); and characterized by at least one server (4) which establishes connection with the database (3), the energy generation devices (2) and the electricity generation units in the investment region (Z); calculates which type of energy generation devices (2) should be installed according to the geographical characteristics of the investment region (Z) before the energy generation devices (2) are placed in the investment region (Z); and predicts at which intensity (power) electrical energy will be generated in the energy generation devices (2) in the said investment region (Z) before the energy generation devices (2) are installed on the investment region (Z).
2. A system (1) for determining points of renewable energy generation according to Claim 1; characterized by the energy generation devices (2) which is a device such as wind turbine, solar panel, wave turbine that generates electrical energy in a clean way without leaving any hazardous waste in the environment, by using renewable energy sources in the form of wind, solar, wave.
3. A system (1) for determining points of renewable energy generation according to Claim 1 or 2; characterized by the database (3) which is configured to store seasonal weather condition information, geographic information, seasonal sunshine duration information of the investment region (Z) by getting in contact with the external server (ES).
4. A system (1) for determining points of renewable energy generation according to any of the preceding claims; characterized by the database (3) which is configured to store the amount of electrical energy generated by the existing electrical grid (EG) in the investment region (Z).
5. A system (1) for determining points of renewable energy generation according to any of the preceding claims; characterized by the database (3) which is configured to store energy generation information of the energy generation devices (2) in the form of wind turbines, solar panels, wave turbines that are planned to be used in the investment region (Z) and have capability of generating various electrical energy.
6. A system (1) for determining points of renewable energy generation according to any of the preceding claims; characterized by the server (4) which is configured to detect how much renewable energy source does the said investment region (Z) need by analysing the data of the investment region (Z) such as weather condition information, geographic information, seasonal sunshine duration information included in the database (3), with the data of electrical energy generated by the existing electrical grid (EG) of the said investment region (Z) by means of machine learning algorithms.
7. A system (1) for determining points of renewable energy generation according to any of the preceding claims; characterized by the server (4) which is configured to detect which type of energy generation devices (2) such as wind turbine, wave turbine, solar panel does the investment region (Z) need in accordance with its characteristics in the form of geographical characteristics, weather condition, seasonal sunshine duration upon detecting how much renewable energy source the investment region (Z) need and to calculate how many energy generation devices (2) will be positioned in which points of the investment region (Z).
8. A system (1) for determining points of renewable energy generation according to any of the preceding claims; characterized by the server (4) which is configured to is configured to detect how much renewable energy amount will be in the energy market and in which time period the energy generated by the energy generation devices (2) will be loaded to the existing electrical grid (EG) by getting in contact with the energy generation devices (2) that are placed in conformity with the investment region (Z), controlling whether the value of electrical energy generated by the energy generation devices (2) meets the need in the existing electrical grid (EG) or not; to calculate the rate of change of the energy prices in the investment region (Z) based on the time period information; and to predict how much renewable energy has the electrical grid (EG) saved upon the amount of generated energy is transferred to the electrical grid (EG).
PCT/TR2021/051282 2020-11-24 2021-11-24 A system for determining points of renewable energy generation WO2022115086A1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
TR2020/18942 2020-11-24
TR2020/18942A TR202018942A2 (en) 2020-11-24 2020-11-24 A SYSTEM THAT ENABLES THE DETERMINATION OF RENEWABLE ENERGY GENERATION POINTS

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2013083138A1 (en) * 2011-12-08 2013-06-13 Vestas Wind Systems A/S A decision support system (dss) for maintenance of a plurality of renewable energy generators in a renewable power plant
WO2013123446A1 (en) * 2012-02-16 2013-08-22 Lazaris Spyros A system and a method for generation. and transmission of electrical energy from renewable resources.
US20140371935A1 (en) * 2011-11-28 2014-12-18 Expanergy, Llc System and methods to assess, manage and control distributed renewable energy resources on a grid or microgrid and achieve a 100% renewable energy grid or microgrid from clean, carbon free, and water conserving distributed renewable energy technologies and resources
US20150186904A1 (en) * 2013-12-27 2015-07-02 International Business Machines Corporation System And Method For Managing And Forecasting Power From Renewable Energy Sources

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140371935A1 (en) * 2011-11-28 2014-12-18 Expanergy, Llc System and methods to assess, manage and control distributed renewable energy resources on a grid or microgrid and achieve a 100% renewable energy grid or microgrid from clean, carbon free, and water conserving distributed renewable energy technologies and resources
WO2013083138A1 (en) * 2011-12-08 2013-06-13 Vestas Wind Systems A/S A decision support system (dss) for maintenance of a plurality of renewable energy generators in a renewable power plant
WO2013123446A1 (en) * 2012-02-16 2013-08-22 Lazaris Spyros A system and a method for generation. and transmission of electrical energy from renewable resources.
US20150186904A1 (en) * 2013-12-27 2015-07-02 International Business Machines Corporation System And Method For Managing And Forecasting Power From Renewable Energy Sources

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