{"id":13618,"date":"2026-02-17T13:30:37","date_gmt":"2026-02-17T10:30:37","guid":{"rendered":"https:\/\/laughing-ganguly.85-215-48-175.plesk.page\/?p=13618"},"modified":"2026-02-17T15:40:37","modified_gmt":"2026-02-17T12:40:37","slug":"gunes-panellerinde-sifir-hata-hedefi-inelso-energynin-zerodefect4pv-projesi","status":"publish","type":"post","link":"https:\/\/laughing-ganguly.85-215-48-175.plesk.page\/en\/gunes-panellerinde-sifir-hata-hedefi-inelso-energynin-zerodefect4pv-projesi\/","title":{"rendered":"Zero Defect Target in Solar Panels: Inelso Energy's ZERODEFECT4PV Project"},"content":{"rendered":"
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G\u00fcne\u015f enerjisi sistemlerinin k\u00fcresel kurulu g\u00fcc\u00fc 2023 y\u0131l\u0131 itibar\u0131yla 1,6 terawatt’a ula\u015fm\u0131\u015f durumda. Bu b\u00fcy\u00fcme beraberinde kritik bir soruyu g\u00fcndeme ta\u015f\u0131yor: Milyonlarca fotovoltaik panel nas\u0131l daha ak\u0131ll\u0131, daha g\u00fcvenilir ve daha verimli izlenebilir? \u0130\u015fte bu soruya yan\u0131t arayan ZERODEFECT4PV projesi, \u0130nelso Energy’nin uluslararas\u0131
bilim d\u00fcnyas\u0131yla bulu\u015ftu\u011fu en \u00f6nemli AR-GE i\u015fbirliklerinden biri.<\/p>\t\t\n\t<\/div>\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\t\t\t\t\t\t\tZERODEFECT4PV Projesi Nedir?\t\t\t\t\t\t\t\t\t<\/h3>\n\t\t\t\t\t<\/div>\n\t<\/div>\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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ZERODEFECT4PV, Almanya Federal Ekonomi ve \u0130klim Koruma Bakanl\u0131\u011f\u0131 (BMWK) taraf\u0131ndan ERA-NET SES ENERDIGIT program\u0131 kapsam\u0131nda desteklenen uluslararas\u0131 bir AR-GE projesidir. T\u00fcrkiye’den T\u00dcB\u0130TAK deste\u011fiyle y\u00fcr\u00fct\u00fclen projeye \u0130nelso Energy, Almanya’dan Fraunhofer IFF ve Romanya’dan BEIA Consult International ortak olarak kat\u0131lmaktad\u0131r.<\/p>

Projenin temel amac\u0131:<\/h3>

Fotovoltaik g\u00fcne\u015f panellerinde yapay zeka algoritmalar\u0131n\u0131 kullanarak hata tespiti ve kestirimci bak\u0131m sistemleri geli\u015ftirmek.<\/p>\t\t\n\t<\/div>\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\t\t\t\t\t\t\tG\u00fcne\u015f Panellerinde Hangi Hatalar Olu\u015fuyor?\t\t\t\t\t\t\t\t\t<\/h3>\n\t\t\t\t\t<\/div>\n\t<\/div>\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Ara\u015ft\u0131rmalar, fotovoltaik sistemlerdeki en s\u0131k kar\u015f\u0131la\u015f\u0131lan hata t\u00fcrlerinin panel performans\u0131n\u0131 ciddi \u00f6l\u00e7\u00fcde d\u00fc\u015f\u00fcrebildi\u011fini g\u00f6stermektedir:<\/strong><\/p>

– H\u00fccre \u00e7atlaklar\u0131: %0,9 ile %60 aras\u0131nda g\u00fc\u00e7 kayb\u0131
– Potansiyel kaynakl\u0131 bozunma (PID): %25-60 g\u00fc\u00e7 kayb\u0131
– Toz kirlili\u011fi: %4,4-20 g\u00fc\u00e7 kayb\u0131
– S\u0131cak nokta (hotspot): %0,83-15,47 g\u00fc\u00e7 kayb\u0131
– Korozyon: %3-27 g\u00fc\u00e7 kayb\u0131<\/p>

Bu kay\u0131plar\u0131n erkenden tespit edilmesi, santral \u00f6mr\u00fcn\u00fc uzatmak ve \u00fcretim kay\u0131plar\u0131n\u0131 minimize etmek a\u00e7\u0131s\u0131ndan kritik \u00f6nem ta\u015f\u0131yor.<\/p>\t\t\n\t<\/div>\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\t\t\t\t\t\t\t\u0130nelso Energy’nin Projede Rol\u00fc\t\t\t\t\t\t\t\t\t<\/h3>\n\t\t\t\t\t<\/div>\n\t<\/div>\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\u0130nelso Energy, ZERODEFECT4PV kapsam\u0131nda T\u00fcrkiye pilot sahas\u0131n\u0131 y\u00f6netmektedir. Toros Da\u011flar\u0131’nda yer alan operasyonel bir g\u00fcne\u015f tarlas\u0131nda kurulan bu pilot, projenin erken donan\u0131m do\u011frulama a\u015famas\u0131 i\u00e7in kritik bir merkez konumundad\u0131r.<\/p>

\u0130nelso ekibi taraf\u0131ndan geli\u015ftirilen Veri Toplama Birimleri (DCU’lar), fotovoltaik panellerin arka y\u00fczeyine monte edilerek mod\u00fcl baz\u0131nda:<\/p>

– Gerilim (Voltaj) \u00f6l\u00e7\u00fcm\u00fc
– Ak\u0131m \u00f6l\u00e7\u00fcm\u00fc
– S\u0131cakl\u0131k takibi<\/p>

verilerini ger\u00e7ek zamanl\u0131 olarak toplamaktad\u0131r. Bu veriler, Fraunhofer IFF’in Entegre Operasyon Merkezi’nde (IOC) yapay zeka modelleri ile i\u015flenerek hata tespiti ve \u00fcretim tahminleri i\u00e7in kullan\u0131lmaktad\u0131r.<\/p>\t\t\n\t<\/div>\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\t\t\t\t\t\t\tKullan\u0131lan Yapay Zeka Y\u00f6ntemleri\t\t\t\t\t\t\t\t\t<\/h3>\n\t\t\t\t\t<\/div>\n\t<\/div>\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Projede d\u00f6rt temel makine \u00f6\u011frenmesi algoritmas\u0131 \u00f6n plana \u00e7\u0131kmaktad\u0131r:<\/strong><\/p>

  1. Random Forest (RF):<\/strong> %99,4 do\u011fruluk oran\u0131yla hata tespitinde \u00fcst\u00fcn performans sergiliyor. K\u0131smi g\u00f6lgeleme, h\u00fccre k\u0131r\u0131lmas\u0131, s\u0131cak nokta ve k\u0131sa devre gibi geni\u015f bir hata yelpazesini tespit edebiliyor.<\/li>
  2. Yapay Sinir A\u011flar\u0131 (ANN):<\/strong> Sim\u00fclasyon ve ger\u00e7ek d\u00fcnya testlerinde %100 do\u011fruluk oran\u0131na ula\u015fan ANN, karma\u015f\u0131k do\u011frusal olmayan ili\u015fkileri modellemede \u00f6ne \u00e7\u0131k\u0131yor.<\/li>
  3. Destek Vekt\u00f6r Makinesi (SVM):<\/strong> Y\u00fcksek boyutlu verilerin s\u0131n\u0131fland\u0131r\u0131lmas\u0131nda etkin bir y\u00f6ntem.<\/li>
  4. K-En Yak\u0131n Kom\u015fu (kNN):<\/strong> K\u0131sa devre, a\u00e7\u0131k devre ve k\u0131smi g\u00f6lgeleme hatalar\u0131n\u0131 tespit eden basit ama etkili bir algoritma.<\/li><\/ol>\t\t\n\t<\/div>\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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    \n\t\t\t\t\t\t\t\t\t\t\t \u00dc\u00e7 \u00dclke, \u00dc\u00e7 Pilot Saha\t\t\t\t\t\t\t\t\t<\/h3>\n\t\t\t\t\t<\/div>\n\t<\/div>\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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    Proje kapsam\u0131nda \u00fc\u00e7 farkl\u0131 \u00fclkede pilot sahalar kurulmu\u015ftur:<\/strong><\/p>

    \ud83c\uddf9\ud83c\uddf7 T\u00fcrkiye – \u0130nelso Energy Pilot Sahas\u0131<\/strong> Toros Da\u011flar\u0131’ndaki ger\u00e7ek bir GES’te polikristallin paneller
    \u00fczerinde donan\u0131m do\u011frulamas\u0131 ger\u00e7ekle\u015ftirilmektedir.<\/p>

    \ud83c\uddf7\ud83c\uddf4 Romanya – BEIA Consult Pilot Sahas\u0131<\/strong> SolarEdge invert\u00f6rlerle izlenen 6 kWp’lik \u00e7at\u0131 sistemi, AI
    modellerinin test edilmesinde kullan\u0131lmaktad\u0131r.<\/p>

    \ud83c\udde9\ud83c\uddea Almanya – Fraunhofer IFF Pilot Sahas\u0131<\/strong> “Elbfabrik” kompleksindeki 10 kWp ve 30 kWp olmak \u00fczere
    iki \u00e7at\u0131 sistemi, projenin ana donan\u0131m ve yaz\u0131l\u0131m testlerini y\u00fcr\u00fctmektedir.<\/p>\t\t\n\t<\/div>\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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    \u00a0<\/p>

    ZERODEFECT4PV projesi, g\u00fcne\u015f enerjisi sekt\u00f6r\u00fcn\u00fcn en kritik sorunlar\u0131ndan biri olan hata tespiti ve kestirimci bak\u0131m alan\u0131nda \u00f6nemli ad\u0131mlar atmaktad\u0131r. \u0130nelso Energy’nin bu uluslararas\u0131 konsorsiyumdaki rol\u00fc, \u015firketin AR-GE odakl\u0131 teknoloji vizyonunun ve k\u00fcresel enerji ara\u015ft\u0131rmac\u0131lar\u0131yla kurdu\u011fu g\u00fc\u00e7l\u00fc i\u015f birliklerinin
    somut bir yans\u0131mas\u0131d\u0131r.<\/p>

    G\u00fcne\u015f enerjisi sistemlerinin daha ak\u0131ll\u0131, daha g\u00fcvenilir ve daha verimli olmas\u0131 i\u00e7in \u00e7al\u0131\u015fmaya devam ediyoruz.<\/p>\t\t\n\t<\/div>\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t <\/div>\r\n <\/div>\r\n \t\t\t<\/div>\n\t\t<\/section>\n\t\t

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    \n\t\t\t\t\t\t\t\t\t\t\tSolarMetrica platformumuz ve SCADA \u00e7\u00f6z\u00fcmlerimiz hakk\u0131nda \ndaha fazla bilgi almak i\u00e7in bizimle ileti\u015fime ge\u00e7in.\t\t\t\t\t\t\t\t\t<\/p>\n\t\t\t\t\t<\/div>\n\t<\/div>\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\r\n\t\t

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    \r\n Email<\/span>\r\n \r\n info@inelsoenergy.com <\/a>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n<\/div>\r\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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    \r\n Telephone <\/span>\r\n \r\n 0539 350 99 55 <\/a>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n<\/div>\r\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\r\n\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

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