TR202018942A2 - A SYSTEM THAT ENABLES THE DETERMINATION OF RENEWABLE ENERGY GENERATION POINTS - Google Patents

A SYSTEM THAT ENABLES THE DETERMINATION OF RENEWABLE ENERGY GENERATION POINTS Download PDF

Info

Publication number
TR202018942A2
TR202018942A2 TR2020/18942A TR202018942A TR202018942A2 TR 202018942 A2 TR202018942 A2 TR 202018942A2 TR 2020/18942 A TR2020/18942 A TR 2020/18942A TR 202018942 A TR202018942 A TR 202018942A TR 202018942 A2 TR202018942 A2 TR 202018942A2
Authority
TR
Turkey
Prior art keywords
energy
investment
renewable energy
determination
points
Prior art date
Application number
TR2020/18942A
Other languages
Turkish (tr)
Inventor
Deri̇ci̇ Oğuzhan
Original Assignee
Turkcell Technology Research And Development Co
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 Turkcell Technology Research And Development Co filed Critical Turkcell Technology Research And Development Co
Priority to TR2020/18942A priority Critical patent/TR202018942A2/en
Publication of TR202018942A2 publication Critical patent/TR202018942A2/en
Priority to PCT/TR2021/051282 priority patent/WO2022115086A1/en

Links

Classifications

    • 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—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas 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

Abstract

Bu buluş yenilenebilir enerji kaynakları ile ilgili sahaların tespit edilmesinden önce hangi konuma yenilenebilir enerji kaynağının yerleştirilmesi gerektiğinin tespit edilmesini sağlayan (1) bir sistem ile ilgilidir.The present invention relates to a system (1) that enables the determination of where the renewable energy source should be placed before determining the areas related to renewable energy resources.

Description

TARIFNAME YENILENEBILIR ENERJI ÜRETIM NOKTALARININ BELIRLENMESINI SAGLAYAN BIR SISTEM Teknik Alan B u bulus yenilenebilir enerji kaynaklari ile ilgili sahalarin tespit edilmesinden önce hangi konuma yenilenebilir enerji kaynaginin yerlestirilmesi gerektiginin tespit edilmesini saglayan bir Sistem ile ilgilidir. Önceki Teknik Günümüzde dogaya zarar veren fosil kaynakli enerji üretimi faaliyetleri ülkeler tarafindan azaltilarak dogaya zarar vermeyen yenilenebilir enerji kaynaklarinin kullanilmasi için çesitli çalismalar, düzenlemeler yapilmaktadir. Fosil kaynakli yakitlar enerji üretiminde kullanildigi zaman ortaya çikan gazlar atmosferde sera etkisi yaparak Dünyanin ortalama sicakligini yükseltmektedir. Fosil kaynakli yakitlarin çevreye verdigi zararin azaltilmasi için rüzgar, günes biçimindeki yenilenebilir enerji kullanan enerji santralleri sahalara kurulmaktadir. Günes panelleri gittikçe gelistirilerek günesten elde edilen elektrik enerjisinin verimi artmaktadir. Günes panellerinden olusan sahalarin ilgili ülkede konumlandirilacagi bölgenin cografi yapisi günesten elde edilen elektrik enerjisinin verimliligini büyük oranda etkilemektedir. Bununla birlikte rüzgar türbinlerinin konumlandirilacagi bölgenin cografi özellikleri de rüzgar türbinlerinin üretecegi enerjinin büyüklügünü etkilemektedir. Mevcut teknikte rüzgar, günes, dalga enerjilerinin mevcut sistemler üzerindeki etkisinin öngörülmesini saglayan çözümlere rastlanilmaktadir. Fakat mevcut teknikte kurulum sonrasi üretilecek enerjinin tahmin edilerek ilgili bölge üzerinde günes, rüzgar enerjisi için nasil kurulum yapilinasi gerektiginin tespit edilerek ilgili bölgede ne kadar enerji üretimi gerçeklestirileceginin tahmin edilmesini saglayan bir çözüme rastlanilmamaktadir. DESCRIPTION OF RENEWABLE ENERGY GENERATION POINTS A SYSTEM THAT DETERMINES Technical Area This invention was prior to the identification of areas related to renewable energy sources. determining in which location the renewable energy source should be placed It relates to a System that ensures that Prior Art Today, fossil-based energy production activities that harm nature of renewable energy sources that do not harm nature by being reduced by Various studies and arrangements are made for its use. fossil origin When fuels are used in energy production, the gases released are greenhouse gases in the atmosphere. effect, raising the average temperature of the world. fossil origin In order to reduce the damage of fuels to the environment, wind, solar Power plants using renewable energy are being built on the fields. Sun The efficiency of the electrical energy obtained from the sun has been improved by improving the panels. increasing. The fields consisting of solar panels will be located in the relevant country. The geographical structure of the region greatly affects the efficiency of the electrical energy obtained from the sun. rate affects. However, wind turbines will be located The geographical features of the region also determine the size of the energy to be produced by the wind turbines. affects. Existing systems of wind, solar, wave energies in the current technique There are solutions that allow the prediction of the effect on But In the current technique, the relevant region is estimated by estimating the energy to be produced after the installation. Determining how to install solar and wind energy on the Estimation of how much energy will be produced in the relevant region no solution has been found.

Yukarida bahsedilen nedenden dolayi enerji üretim kaynaklarina ait çesitli degerlerin enerji üretim kaynaklarinin konumlandirilacagi bölgenin cografi kosullarina ait veriler ile birlestirilerek analiz edilmesiyle söz konusu bölgede üretilecek enerji miktarinin hesaplanmasini, üretilen enerji miktarinin söz konusu bölgedeki sebekeye aktarilmasi ile sebekenin yenilenebilir enerji ile ne kadar tasarruf ettiginin tahmin edilmesini saglayan, yenilenebilir enerji üretim noktalarinin belirlenmesini saglayan bir sisteme ihtiyaç duyulmaktadir. For the above-mentioned reason, various energy generation sources Geography of the region where the energy production resources of the values will be located in the region in question by combining it with the data of the conditions the calculation of the amount of energy to be produced, the amount of energy produced by transferring it to the grid in the region, how much can the grid be with renewable energy? Renewable energy generation, which provides estimates of savings A system is needed to determine the points.

Teknigin bilinen durumunda yer alan CN 1 10909810 sayili Çin patent dokümaninda veri madenciligi ve degisken modellere bagli olarak yenilenebilir enerji tahmin yönteminden bahsedilmektedir. Söz konusu yenilenebilir tahmin yönteminde veriler kümeleme algoritmasi kullanilarak benzer tarihsel güç üretim verileri ve çesitli kisitlara bagli olarak verilerin gruplara ayrilmasi saglanmaktadir. Tarihsel veriler islenerek optimal çözümün olusturulmasini saglamak üzere alt modeller olusturulmaktadir. Olusturulan modeller egitim algoritmalari kullanilarak gelecekteki yenilenebilir güç üretim miktarinin tahmin edilmesine olanak saglamaktadir. In the Chinese patent document numbered CN 1 10909810, which is in the state of the art Renewable energy forecasting based on data mining and variable models method is mentioned. In this renewable estimation method, similar historical power generation data using data clustering algorithm and It is ensured that the data is divided into groups depending on various constraints. Historical sub-models to ensure that the optimal solution is created by processing the data is created. The created models are used by training algorithms. Allows forecasting of future renewable power generation it provides.

Bulusun Kisa Açiklamasi Bu bulusun amaci enerji üretim kaynaklarina ait çesitli degerlerin enerji üretim kaynaklarinin konumlandirilacagi bölgenin cografi kosullarina ait veriler ile birlestirilerek analiz edilmesiyle söz konusu bölgede üretilecek enerji miktarinin hesaplanmasini, üretilen enerji miktarinin söz konusu bölgedeki sebekeye aktarilmasi ile sebekenin yenilenebilir enerji ile ne kadar tasarruf ettiginin tahmin edilmesini saglayan, yenilenebilir enerji üretim noktalarinin belirlenmesini saglayan bir sistem gerçeklestirmektir. Brief Description of the Invention The aim of this invention is to determine the energy production of various values of energy production resources. with the data of the geographical conditions of the region where the resources will be located. by combining and analyzing the amount of energy to be produced in the region in question. calculation, the amount of energy produced to the grid in the region in question. It is estimated how much the network saves with renewable energy by transferring determination of renewable energy production points to implement a system that provides

Bulusun Ayrintili Açiklamasi Bu bulusun amacina ulasmak için gerçeklestirilen “Yenilenebilir Enerji Üretim Noktalarinin Belirlenmesini Saglayan Bir Sistem” sekille gösterilmis olup, bu sekil; Sekil-l Bulus konusu yenilenebilir enerji üretim noktalarinin belirlenmesini saglayan bir sistemin sematik görünüsüdür. Detailed Description of the Invention “Renewable Energy Generation” carried out to achieve the purpose of this invention. A System That Provides the Determination of the Points” is shown in the figure, which is; Figure-1 determines the renewable energy production points that are the subject of the invention. It is the schematic view of a system that provides

Sekilde yer alan parçalar tek tek numaralandirilmis olup, bu numaralarin karsiliklari asagida verilmistir. 1 Sistem 2 Enerji üretim Cihazi 3. Veritabani 4. Sunucu EG. Elektrik sebekesi Z. Yatirim bölgesi ES. Dis sunucu Yenilenebilir enerji kaynaklari ile ilgili sahalarin tespit edilmesinden önce hangi konuma yenilenebilir enerji kaynaginin yerlestirilmesi gerektiginin tespit edilmesini saglayan, bulus konusu yenilenebilir enerji üretim noktalarinin belirlenmesini saglayan bir sistem (1); - yenilenebilir kaynaklari kullanarak çevreye zararsiz biçimde elektrik enerjisi üreten en az bir enerji üretim Cihazi (2), -dis sunucu (ES) ile iletisim kuran elektrik sebekesinin (EG) kapsadigi alanlarin cografi özelliklerini, hava durumu özelliklerini üzerinde depolamak üzere yapilandirilan en az bir veritabani (3) ve - veritabani (3), enerji üretim cihazlari (2) ve yatirim bölgesindeki (Z) elektrik üretim birimleriyle baglanti kuran, yatirim bölgesine (Z) enerji üretim cihazlarinin (2) yerlestirilmesinden önce yatirim bölgesinin (Z) cografi özeliklerine göre hangi tipteki enerji üretim cihazlarinin (2) kurulmasi gerektigini hesaplayan, enerji üretim cihazlarinin (2) yatirim bölgesi (Z) üzerine kurulmasindan önce söz konusu yatirim bölgesinde (Z) enerji üretiin cihazlarinda (2) ne kadar güçte elektrik enerjisi üretilecegini tahminleyen en az bir sunucu (4) içermektedir. The parts in the figure are numbered one by one and the corresponding numbers are given below. 1 System 2 Energy Generation Devices 3. Database 4. Server EG. electrical network Z. Investment zone SPOUSE. Dis server Before determining the fields related to renewable energy sources, which determination of the necessity of placing a renewable energy source in the location of renewable energy production points, which are the subject of the invention, a system (1) for identifying it; - environmentally friendly electrical energy using renewable resources at least one power generation Device (2), - the areas covered by the electricity network (EG) communicating with the external server (ES) to store geographic features, weather features on it at least one database (3) configured and - database (3), power generation devices (2) and electricity in the investment zone (Z) of energy generation devices to the investment zone (Z), connecting with the generation units (2) according to the geographical characteristics of the investment region (Z) before its placement, which calculating that type of power generation devices (2) should be installed, the investment in question before installing the equipment (2) on the investment zone (Z). How much electrical energy is available in the energy generating devices (2) in the region (Z)? contains at least one server (4) that predicts that it will be generated.

Bulus konusu sistemde (1) yer alan enerji üretim cihazi (2) rüzgar, günes, dalga tipindeki yenilenebilir enerji kaynaklarini kullanarak, çevreye zararli atik birakmadan temiz biçimde elektrik enerjisi üreten rüzgar türbini, günes paneli, dalga türbini seklindeki cihazlardir. The energy generation device (2) in the system (1), which is the subject of the invention, is wind, solar, wave by using renewable energy sources, harmful to the environment wind turbines, solar panels, which produce clean electricity without leaving They are devices in the form of wave turbines.

Bulus konusu sistemde (1) yer alan veritabani (3) dis sunucu (ES) ile baglanti kurarak yatirim bölgesinin (Z) mevsimlik hava durum bilgisini, cografi bilgisini, mevsimlik günes alma süresi bilgilerini üzerinde depolamak üzere yapilandirilmaktadir. Veritabani (3) yatirim bölgesindeki (Z) mevcut elektrik sebekesinin (EG) ürettigi elektrik enerjisi miktarini üzerinde depolamak üzere yapilandirilmaktadir. Veritabani (3) yatirim bölgesinde (Z) kullanilmasi planlanan ve çesitli elektrik enerjisi üretme kabiliyetine sahip olan rüzgar türbinleri, günes panelleri, dalga türbinleri tipindeki enerji üretim cihazlarinin (2) enerji üretim bilgilerini üzerinde depolamak üzere yapilandirilmaktadir. Connection with the database (3) external server (ES) in the system (1) which is the subject of the invention by establishing the seasonal weather information of the investment region (Z), geographical information, to store seasonal sunshine duration information on is being configured. Database (3) available electricity in investment zone (Z) to store the amount of electrical energy produced by the mains (EG) is being configured. The database (3) is planned to be used in the investment zone (Z). and wind turbines, which have the ability to produce various electrical energy, panels, wave turbine type power generation devices (2) It is configured to store information on it.

Bulus konusu sistemde (1) yer alan sunucu (4) veritabaninda (3) yer alan yatirim bölgesinin (Z) hava durum bilgisi, cografi bilgisi, mevsimlik günes alma bilgisi biçimindeki verilerini söz konusu yatirim bölgesinin (Z) mevcut elektrik sebekesiyle (EG) ürettigi elektrik enerjisi verisiyle makine ögrenme algoritmalariyla analiz ederek söz konusu yatirim bölgesinin (Z) ne kadarlik yenilenebilir enerji kaynagina ihtiyaç duydugunu tespit etmek üzere yapilandirilmaktadir. Sunucu (4) yatirim bölgesinin (Z) ne kadarlik yenilenebilir enerji kaynagina ihtiyaç duydugunu tespit ettikten sonra yatirim bölgesinin (Z) cografi özellikleri, hava durumu, mevsimlik günes alma süresi biçimindeki özelliklerine uygun rüzgar türbini, dalga türbini, günes paneli tipindeki hangi enerji üretim cihazina (2) ihtiyaç duydugunu tespit etmek, yatirim bölgesi (Z) içindeki hangi noktalara ne kadar sayida enerji üretim cihazinin (2) konumlandirilacagini hesaplamak üzere yapilandirilmaktadir. Sunucu (4) yatirim bölgesine (Z) uygun biçimde yerlestirilen enerji üretim cihazlariyla (2) baglanti kurarak, enerji üretim cihazlarinin (2) ürettigi elektrik enerjisi degerinin mevcut elektrik sebekesindeki (EG) ihtiyaci karsilayip karsilamadigini kontrol ederek, enerji piyasasindaki yenilenebilir enerji miktarinin ne kadar olacagini, enerji üretim cihazlarinin (2) ürettigi enerjinin hangi zaman dilimi araliginda elektrik sebekesine (EG) yüklenecegini tespit etmek, zaman dilimi araligi bilgisine göre yatirim bölgesindeki (Z) enerji fiyatlarinin degisim oranini hesaplayarak; üretilen enerji miktarinin söz konusu yatirim bölgesindeki (Z) elektrik sebekesine (EG) aktarilmasi ile elektrik sebekesinin (EG) yenilenebilir enerji ile ne kadar tasarruf ettigini tahminlemek üzere yapilandirilmaktadir. The investment in the server (4) database (3) in the system (1) which is the subject of the invention (Z) weather information, geographical information, seasonal sunshine information data in the form of current electricity of the investment region (Z) in question. machine learning with the electrical energy data produced by the EG how much of the investment zone (Z) in question is analyzed with algorithms to determine the need for renewable energy source is being configured. How much of the server (4) investment zone (Z) is renewable (Z) of the investment region after determining that it needs energy source geographic features, weather, seasonal sunshine duration Which energy type is suitable for wind turbine, wave turbine, solar panel type? to determine that it needs the production device (2), within the investment zone (Z) how many energy generation devices (2) to be positioned at which points configured to calculate. Server (4) is suitable for investment zone (Z) by connecting with the energy generation devices (2) placed in such a way that the electrical energy value produced by the devices (2) in the current electricity network. (EG) checks whether it meets the need, how much will be the amount of renewable energy, energy production devices (2) In what time period does the energy produced by the electricity grid (EG) to determine that it will be loaded, according to the time zone interval information, in the investment zone (Z) by calculating the rate of change of energy prices; the amount of energy produced electricity by transferring it to the electricity grid (EG) in the investment area (Z). estimating how much the grid (EG) saves with renewable energy is configured to.

Bulus konusu sistemde (1) mevcut elektrik sebekesine (EG) bagli yatirim bölgesi (Z) belirlenmektedir. Sistemde (1) yer alan veritabani (3) yatirim bölgesinin (Z) hava durumu, cografi durum, mevsimlik günes alma süresi biçimindeki özelliklerini depolamaktadir. Veritabani (3) dis sunucular (ES) üzerinden yatirim bölgesinin (Z) hava durum bilgilerini üzerinde depolamaktadir. Sistemde (1) birbirinden farkli enerji üretme kabiliyetine sahip olan rüzgar türbini, dalga türbini ve günes paneli tipindeki enerji üretim cihazlarina (2) ait veriler veritabaninda (3) depolanmaktadir. Investment area connected to the existing electricity grid (EG) in the inventive system (1) (Z) is determined. The database (3) in the system (1) is the (Z) of the investment region. weather conditions, geographical conditions, seasonal sunshine duration. stores. Database (3) of investment zone (Z) over external servers (ES) It stores weather information on it. Different from each other in the system (1) wind turbine, wave turbine and solar panel with the ability to produce energy The data of type energy generation devices (2) are stored in the database (3).

Sunucu (4) veritabanindaki (3) yatirim bölgesine (Z) ait verileri makine ögrenmesi algoritmalariyla analiz ederek, yatirim bölgesinin (Z) ne kadar yenilenebilir enerji kaynagina ihtiyaci oldugunu tespit etmektedir. Sunucu (4) veritabanindaki (3) yatirim bölgesinin (Z) cografi özelliklerine göre hangi tipteki enerji üretim cihazinin (2) söz konusu yatirim bölgesinin (Z) hangi noktasina yerlestirilmesi gerektigini hesaplamaktadir. Sunucu (4) yatirim bölgesine (Z) yerlestirilen enerji üretim cihazlariyla (2) baglanti kurarak, yatiriin bölgesindeki (Z) enerji fiyatini hesaplamaktadir. Enerji fiyatinin hesaplanmasi sirasinda zaman serileri kullanilmistir. Machine learning data of the investment region (Z) in the server (4) database (3) how much renewable energy the investment zone (Z) determines that it needs a resource. Server (4) in database (3) Which type of energy production according to the geographical characteristics of the investment region (Z) At which point of the investment zone (Z) should the device (2) be placed? calculates what is needed. The energy placed in the server (4) investment zone (Z) by connecting the generation devices (2), you can determine the energy price in the region (Z) of the investment. calculates. Time series during the calculation of the energy price used.

Bulus konusu sistem (1) ile enerji üretim kaynaklarina ait çesitli degerlerin enerji üretim kaynaklarinin konumlandirilaeagi yatirim (Z) bölgesi nin cografi kosullarina ait veriler ile birlestirilerek analiz edilmesiyle söz konusu yatirim bölgesinde (Z) üretilecek enerji miktarinin hesaplanmasi, üretilen enerji miktarinin söz konusu yatirim bölgesindeki (Z) elektrik sebekesine (EG) aktarilmasi ile elektrik sebekesinin (EG) yenilenebilir enerji ile ne kadar tasarruf ettiginin tahmin edilmesi saglanmaktadir. With the system (1), which is the subject of the invention, various values belonging to energy production resources The geographical conditions of the investment (Z) region where the production resources can be located. (Z) in the investment region in question by combining it with the data of Calculation of the amount of energy to be produced, the amount of energy produced electricity by transferring it to the electricity grid (EG) in the investment zone (Z). estimating how much the grid (EG) saves with renewable energy is provided.

Bulus konusu yenilenebilir enerji üretim noktalarinin belirlenmesini saglayan bir sistemin (1) çok çesitli uygulamalarinin gelistirilmesi mümkün olup, bulus burada açiklanan örneklerle sinirlandirilamaz, esas olarak isteinlerde belirtildigi gibidir The subject of the invention is a system that enables the determination of renewable energy production points. It is possible to develop a wide variety of implementations of the system (1), the invention being herein cannot be limited to the examples described, mainly as stated in the requests

Claims (8)

ISTEMLERREQUESTS 1. Yenilenebilir enerji kaynaklari ile ilgili sahalarin tespit edilmesinden önce hangi konumda yenilenebilir enerji kaynaginin yerlestirilinesi gerektiginin tespit edilmesini saglayan; - yenilenebilir kaynaklari kullanarak çevreye zararsiz biçimde elektrik enerjisi üreten en az bir enerji üretim cihazi (2), -dis sunucu (ES) ile iletisim kuran elektrik sebekesinin (EG) kapsadigi alanlarin cografi özelliklerini, hava durumu özelliklerini üzerinde depolamak üzere yapilandirilan en az bir veritabani (3) içeren ve - veritabani (3), enerji üretim Cihazlari (2) ve yatirim bölgesindeki (Z) elektrik üretim birimleriyle baglanti kuran, yatiriin bölgesine (Z) enerji üretim cihazlarinin (2) yerlestirilmesinden önce yatirim bölgesinin (Z) cografi özeliklerine göre hangi tipteki enerji üretim cihazlarinin (2) kurulmasi gerektigini hesaplayan, enerji üretim cihazlarinin (2) yatirim bölgesi (Z) üzerine kurulmasindan önce söz konusu yatirim bölgesinde (Z) enerji üretim eihazlarinda (2) ne kadar güçte elektrik enerjisi üretilecegini tahminleyen en az bir sunucu (4} ile karakterize edilen yenilenebilir enerji üretim noktalarinin belirlenmesini saglayan bir sistem (1 i.1. Before determining the areas related to renewable energy resources, it ensures that the location where the renewable energy resource should be located is determined; - at least one power generation device (2) that generates electrical energy harmlessly to the environment using renewable resources, - at least one database configured to store the geographic and weather characteristics of the areas covered by the electricity grid (EG) communicating with the external server (ES) According to the geographical characteristics of the investment zone (Z) before the placement of the energy generation devices (2) in the investment zone (Z), which contains - and - database (3), power generation devices (2) and connecting with the electricity generation units in the investment zone (Z) At least one server calculating which type of power generation devices (2) should be installed, estimating how much electrical energy will be produced in the power generation devices (2) in the said investment region (Z) before the power generation devices (2) are installed on the investment region (Z). A system that enables the determination of renewable energy generation points characterized by (4} (1 i. 2. Rüzgar, günes, dalga tipindeki yenilenebilir enerji kaynaklarini kullanarak, çevreye zararli atik birakmadan temiz biçimde elektrik enerjisi üreten rüzgar türbini, günes paneli, dalga türbini seklindeki cihaz olan enerji üretim Cihazi (2) ile karakterize edilen Istem 1”deki gibi yenilenebilir enerji üretim noktalarinin belirlenmesini saglayan bir sistem (1).2. Renewable energy generation as in Claim 1, characterized by a wind turbine, solar panel, wave turbine shaped device that produces electrical energy in a clean manner without leaving harmful waste to the environment by using renewable energy sources in the type of wind, sun, wave. a system (1) that allows the determination of points. 3. Dis sunucu (ES) ile baglanti kurarak yatirim bölgesinin (Z) mevsimlik hava durum bilgisini, cografi durum bilgisini, mevsimlik günes alma süresi bilgilerini üzerinde depolamak üzere yapilandirilan veritabani (3) ile karakterize edilen Istem 1 veya 2”deki gibi yenilenebilir enerji üretim noktalarinin belirlenmesini saglayan bir sistem (1 i.3. Renewable energy generation as in Claim 1 or 2, characterized by a database (3) configured to store seasonal weather information, geographic situation information, seasonal sunshine duration information of the investment region (Z) by connecting with the external server (ES). A system that enables the determination of points (1 i. 4. Yatirim bölgesindeki (Z) mevcut elektrik sebekesinin (EG) ürettigi elektrik enerjisi miktarini üzerinde depolamak üzere yapilandirilan veritabani (3) ile karakterize edilen yukaridaki istemlerden herhangi birindeki gibi yenilenebilir enerji üretim noktalarinin belirlenmesini saglayan bir sistem (1 l.4. A system that enables the determination of renewable energy generation points as in any one of the above claims, characterized by a database (3) configured to store the amount of electrical energy produced by the current electricity grid (EG) in the investment zone (Z). 5, Yatirim bölgesinde (Z) kullanilmasi planlanan ve çesitli elektrik enerjisi üretme kabiliyetine sahip olan rüzgar türbinleri, günes panelleri, dalga türbinleri tipindeki enerji üretim cihazlarinin (2) enerji üretim bilgilerini üzerinde depolamak üzere yapilandirilan veritabani (3) ile karakterize edilen yukaridaki istemlerden herhangi birindeki gibi yenilenebilir enerji üretim noktalarinin belirlenmesini saglayan bir sistem (1).5, in any one of the above claims, characterized by the database (3) configured to store the energy production information of wind turbines, solar panels, wave turbines type energy generation devices (2) planned to be used in the investment region (Z) and capable of producing various electrical energy. A system that enables the determination of renewable energy production points such as (1). 6. Veritabaninda (3) yer alan yatirim bölgesinin (Z) hava durum bilgisi, cografi durum bilgisi, mevsimlik günes alma bilgisi biçimindeki verilerini söz konusu yatirim bölgesinin (Z) mevcut elektrik sebekesiyle (EG) ürettigi elektrik enerjisi verisiyle makine ögrenme algoritmalariyla analiz ederek söz konusu yatirim bölgesinin (Z) ne kadarlik yenilenebilir enerji kaynagina ihtiyaç duydugunu tespit etmek üzere yapilandirilan sunucu (4) ile karakterize edilen yukaridaki istemlerden herhangi birindeki gibi yenilenebilir enerji üretim noktalarinin belirlenmesini saglayan bir sistem (1).6. By analyzing the data of the investment region (Z) in the database (3) in the form of weather information, geographical situation information, seasonal sunshine information with the electrical energy data produced by the current electricity network (EG) of the investment region (Z) with machine learning algorithms, we can talk about it. A system (1) that enables the determination of renewable energy production points as in any of the above claims, characterized by the server (4) configured to determine how much renewable energy resource the said investment region (Z) needs. 7. Yatirim bölgesinin (Z) ne kadarlik yenilenebilir enerji kaynagina ihtiyaç duydugunu tespit ettikten sonra yatirim bölgesinin (Z) cografi durum, hava durumu, mevsimlik günes alma süresi biçimindeki özelliklerine uygun rüzgar türbini, dalga türbini, günes paneli tipindeki hangi enerji üretim cihazina (2) ihtiyaç duydugunu tespit etmek, yatirim bölgesi (Z) içindeki hangi noktalara ne kadar sayida enerji üretim cihazinin (2) konumlandirilacagini hesaplamak üzere yapilandirilan sunucu (4] ile karakterize edilen yukaridaki istemlerden herhangi birindeki gibi yenilenebilir enerji üretim noktalarinin belirlenmesini saglayan bir sistem (1).7. After determining how much renewable energy source the investment region (Z) needs, which energy generation device such as wind turbine, wave turbine, solar panel (2 A system (1) that enables the determination of renewable energy generation points as in any of the above claims, characterized by a server (4] configured to determine the need for ) and to calculate how many energy generation devices (2) will be located at which points in the investment zone (Z) . 8. Yatirim bölgesine (Z) uygun biçimde yerlestirilen enerji üretim cihazlariyla (2) baglanti kurarak, enerji üretim cihazlarinin (2) ürettigi elektrik enerjisi degerinin mevcut elektrik sebekesindeki (EG) ihtiyaci karsilayip karsilamadigini kontrol ederek, enerji piyasasindaki yenilenebilir enerji miktarinin ne kadar olacagini, enerji üretim cihazlarinin (2) ürettigi enerjinin hangi zaman dilimi araliginda elektrik sebekesine (EG) yüklenecegini tespit etmek, zaman dilimi araligi bilgisine göre yat1rim bölgesindeki (Z) enerji Iiyatlarimn degisim oranini hesaplayarak; üretilen enerji miktarinin söz konusu yatirim bölgesindeki (Z) elektrik sebekesine (EG) aktarilmasi ile elektrik sebekesinin (EG) yenilenebilir enerji ile ne kadar tasarruf ettigini tahminlemek üzere yapilandirilan sunucu (4) ile karakterize edilen yukaridaki istemlerden herhangi birindeki gibi yenilenebilir enerji üretiin noktalarinin belirlenmesini saglayan bir sistem (1).8. How much of the renewable energy in the energy market will be, by connecting with the energy generation devices (2) placed in accordance with the investment zone (Z) and checking whether the electrical energy value produced by the energy generation devices (2) meets the need in the current electricity network (EG), to determine in which time period the energy produced by the energy generation devices (2) will be loaded onto the electricity network (EG), by calculating the rate of change of energy prices in the investment region (Z) according to the time zone interval information; Characterized by the server (4), which is configured to estimate how much energy the electricity network (EG) saves with renewable energy by transferring the amount of energy produced to the electricity grid (EG) in the said investment region (Z), it enables the determination of renewable energy generation points as in any of the above claims. a system (1).
TR2020/18942A 2020-11-24 2020-11-24 A SYSTEM THAT ENABLES THE DETERMINATION OF RENEWABLE ENERGY GENERATION POINTS TR202018942A2 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
TR2020/18942A TR202018942A2 (en) 2020-11-24 2020-11-24 A SYSTEM THAT ENABLES THE DETERMINATION OF RENEWABLE ENERGY GENERATION POINTS
PCT/TR2021/051282 WO2022115086A1 (en) 2020-11-24 2021-11-24 A system for determining points of renewable energy generation

Applications Claiming Priority (1)

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

Publications (1)

Publication Number Publication Date
TR202018942A2 true TR202018942A2 (en) 2020-12-21

Family

ID=75573269

Family Applications (1)

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

Country Status (2)

Country Link
TR (1) TR202018942A2 (en)
WO (1) WO2022115086A1 (en)

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2013081978A1 (en) * 2011-11-28 2013-06-06 Expanergy, Llc Energy search engine methods and systems
US20140316838A1 (en) * 2011-12-08 2014-10-23 Vestas Wind Systems A/S 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

Also Published As

Publication number Publication date
WO2022115086A1 (en) 2022-06-02

Similar Documents

Publication Publication Date Title
CN107093007A (en) It is a kind of to consider the distribution network reliability evaluation method that light storage continues load capacity
Koussa et al. A feasibility and cost benefit prospection of grid connected hybrid power system (wind–photovoltaic)–Case study: An Algerian coastal site
Yang et al. Short-term PV generation system direct power prediction model on wavelet neural network and weather type clustering
KR102488667B1 (en) System of predicting photovoltaic power generation using machine learning
Acuzar et al. Effects of weather and climate on renewable energy resources in a distributed generation system simulated in Visayas, Philippines
CN107229817B (en) Photovoltaic power station dust shielding loss analysis method
CN105896599A (en) Fan output multi-index evaluation method considering fan characteristics
Kravets et al. Development of an integrated method for placement of solar and wind energy objects in the lower volga
KR20230076695A (en) Solar power generation forcasting device and method reflecting solar periodic time variable
Satria et al. Sensitivity of solar panel energy conversion at sunrise and sunset on three weather fluctuations in equatorial climate.
Javaid et al. Sustainable urban energy solutions: Forecasting energy production for hybrid solar-wind systems
Moria Techno-economic optimization of solar/wind turbine system for remote mosque in Saudi Arabia highway: Case study
Shezan et al. Techno-economic and feasibility analysis of a micro-grid wind-DG-battery hybrid energy system for remote and decentralized areas
TR202018942A2 (en) A SYSTEM THAT ENABLES THE DETERMINATION OF RENEWABLE ENERGY GENERATION POINTS
Alanazi et al. Wind energy assessment using Weibull distribution with different numerical estimation methods: a case study
Elena et al. Multi-agent system for smart grids with produced energy from photovoltaic energy sources
Al-Masri et al. Optimization and layout of a wind farm connected to a power distribution system
Odungat et al. Estimation of system efficiency and utilisation factor of a mirror integrated solar PV system
Ay et al. Affecting Factors of Efficiency in Photovoltaic Energy Systems and Productivity-Enhancing Suggestions
Ibrahim et al. Impact of Extreme Temperature on Solar Power Plant in Malaysia
CN109636041B (en) Unit maintenance simulation method and system suitable for large-scale complex power grid
Karki et al. Impact of renewable energy unit availability on power system adequacy
Xu et al. A research on wind farm micro-sitting optimization in complex terrain
Srisuriyajan et al. The model of solar power plant efficiency improvement: A case study in Lampang, Thailand
Rehman et al. Study of a standalone wind and solar PV power systems