DETERMINATION OF OPTIMUM SYSTEM CAPACITY IN PHOTOVOLTAIC SYSTEM INTEGRATED ELECTRIC VEHICLE CHARGING SYSTEMS

Hakan Akça; Ramazan Ayaz

Makale detayları

DETERMINATION OF OPTIMUM SYSTEM CAPACITY IN PHOTOVOLTAIC SYSTEM INTEGRATED ELECTRIC VEHICLE CHARGING SYSTEMS

Yazarlar:

Hakan Akça | Ramazan Ayaz

Yayıncı:

Süleyman Demirel University

Ana Başlıklar:

Fotovoltaik Güç Sistemleri

Dergi:

Mühendislik Bilimleri ve Tasarım Dergisi Vol.12 Issue 3, pp.476-487

Belge Tipi:

Makale

Yayın Tarihi:

9/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001327988

pISSN:

1308-6693

Anahtar kelimeler:

Özet:

 In this study, a new approach is proposed for determining the optimum photovoltaic PV capacity in a grid-connected electric vehicle charging station with integrated PV system. The power generated by the PV panel in real environment is compared with the results obtained with the help of MATLAB PV model and PV simulator and the results are found to be compatible with each other. It is aimed to optimize the PV system capacity required for charging an electric vehicle battery with a capacity of 16,8 kWh in this study. For this purpose, PV system optimum tilt and azimuth angles are determined, and PV sizing is performed. The objective function is determined as providing the total energy of the electric vehicle battery for one year with the total energy produced by the PV system for one year. Under these conditions, the results obtained with the help of the MATLAB model show that a PV capacity of 3,35 kWp can supply the energy needs of a vehicle throughout the year. This study presents an effective method for determining the optimum capacity of PV systems for electric vehicle charging systems.

 In this study, a new approach is proposed for determining the optimum photovoltaic PV capacity in a grid-connected electric vehicle charging station with integrated PV system. The power generated by the PV panel in real environment is compared with the results obtained with the help of MATLAB PV model and PV simulator and the results are found to be compatible with each other. It is aimed to optimize the PV system capacity required for charging an electric vehicle battery with a capacity of 16,8 kWh in this study. For this purpose, PV system optimum tilt and azimuth angles are determined, and PV sizing is performed. The objective function is determined as providing the total energy of the electric vehicle battery for one year with the total energy produced by the PV system for one year. Under these conditions, the results obtained with the help of the MATLAB model show that a PV capacity of 3,35 kWp can supply the energy needs of a vehicle throughout the year. This study presents an effective method for determining the optimum capacity of PV systems for electric vehicle charging systems.

 In this study, a new approach is proposed for determining the optimum photovoltaic PV capacity in a grid-connected electric vehicle charging station with integrated PV system. The power generated by the PV panel in real environment is compared with the results obtained with the help of MATLAB PV model and PV simulator and the results are found to be compatible with each other. It is aimed to optimize the PV system capacity required for charging an electric vehicle battery with a capacity of 16,8 kWh in this study. For this purpose, PV system optimum tilt and azimuth angles are determined, and PV sizing is performed. The objective function is determined as providing the total energy of the electric vehicle battery for one year with the total energy produced by the PV system for one year. Under these conditions, the results obtained with the help of the MATLAB model show that a PV capacity of 3,35 kWp can supply the energy needs of a vehicle throughout the year. This study presents an effective method for determining the optimum capacity of PV systems for electric vehicle charging systems.

 Bu çalışmada, fotovoltaik FV sistem entegreli ve şebekeye bağlı bir elektrikli araç şarj istasyonunda optimum FV kapasitesinin belirlenmesi için yeni bir yaklaşım ortaya konulmuştur. Gerçek ortamda FV panelin ürettiği güç değerleri, MATLAB FV modeli ve FV simülatör yardımıyla elde edilen sonuçlar ile karşılaştırılmıştır ve sonuçların birbiri ile uyumlu olduğu görülmüştür. Çalışmada 16,8 kWh kapasiteli bir elektrik araç bataryasının şarj edilmesi için gereken FV sistem kapasitesinin optimizasyonu amaçlanmıştır. Bunun için FV sistem optimum eğim ve azimut açıları belirlendikten sonra FV boyutlandırması yapılmıştır. Elektrikli araç bataryasının bir yıllık toplam enerjisinin FV sistemin bir yıllık toplam ürettiği enerji ile karşılanması amaç fonksiyonu olarak belirlenmiştir. Bu şartlar altında MATLAB modeli yardımıyla elde edilen sonuçlar 3,35 kWplik FV kapasitesinin bir aracın yıl boyunca ihtiyaç duyduğu enerjiyi karşılayabileceğini ortaya koymuştur. Bu çalışma, FV sistemlerin elektrikli araç şarj sistemleri için optimum kapasitenin belirlenmesinde etkili bir yöntem sunmaktadır.

Makale detayları

DETERMINATION OF OPTIMUM SYSTEM CAPACITY IN PHOTOVOLTAIC SYSTEM INTEGRATED ELECTRIC VEHICLE CHARGING SYSTEMS

Yazarlar:

Hakan Akça | Ramazan Ayaz

Yayıncı:

Süleyman Demirel University

Ana Başlıklar:

Fotovoltaik Güç Sistemleri

Dergi:

Mühendislik Bilimleri ve Tasarım Dergisi Vol.12 Issue 3, pp.476-487

Belge Tipi:

Makale

Yayın Tarihi:

9/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001327988

pISSN:

1308-6693

Photovoltaic System

Electrical Vehicle

Battery Capacity

Optimum Capacity

Charging StationFotovoltaik Sistem

Elektrikli Araç

Batarya Kapasitesi

Optimum Kapasite

Şarj İstasyonu.

Sayı

Makale detayları

Yazarlar: Hakan Akça | Ramazan Ayaz

Yayıncı: Süleyman Demirel University

Ana Başlıklar: Fotovoltaik Güç Sistemleri

Dergi: Mühendislik Bilimleri ve Tasarım Dergisi Vol.12 Issue 3, pp.476-487

Belge Tipi: Makale

Yayın Tarihi: 9/2024

Belge Dili: Türkçe

Document ID (Org No.): 2001327988

pISSN: 1308-6693

Sayı

Yazarlar:

Hakan Akça | Ramazan Ayaz

Yayıncı:

Süleyman Demirel University

Ana Başlıklar:

Fotovoltaik Güç Sistemleri

Dergi:

Mühendislik Bilimleri ve Tasarım Dergisi Vol.12 Issue 3, pp.476-487

Belge Tipi:

Makale

Yayın Tarihi:

9/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001327988

pISSN:

1308-6693