Solar energy capacity assessment and performance evaluation of a standalone PV system using PVSYST

Shrivastava, Anurag; Sharma, Rajneesh; Saxena, Mohit; Shanmugasundaram, V.; Rinawa, Moti Lal; Ankit, Ankit

doi:10.1016/j.matpr.2021.07.258

Cited by 51 publications

(26 citation statements)

References 24 publications

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“…The most common manifestations of COVID-19 patients on lung CT are ground-glass opacity (GGO) and consolidation (CL). When the disease worsens, the number of GGO and consolidation increases, and they are mainly distributed at the edge of the lung; as the disease improves, the lesions are gradually absorbed to form fibrotic stripes [14] , [15] , [16] , [17] , [18] , [19] . Most patients will also show imaging features such as thickened interlobular septum and thickened bronchial blood vessels [20] .…”

Section: Covid-19 Imaging Manifestationsmentioning

confidence: 99%

Deep learning based model for classification of COVID −19 images for healthcare research progress

Kumar¹,

Redd

Joseph³

et al. 2022

Materials Today: Proceedings

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Section: Covid-19 Imaging Manifestationsmentioning

confidence: 99%

Deep learning based model for classification of COVID −19 images for healthcare research progress

Kumar¹,

Redd

Joseph³

et al. 2022

Materials Today: Proceedings

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“…Empirical study has shown RH on PV system's performance that a rise in relative humidity reduced current (Atsu et al 2021;Bansal et al 2021;Shrivastava et al 2021) Here, PV OUTspecific is the specific photovoltaic power output (kWh/kWp); GTI is the global tilted irradiance; G i is the sum of direct, diffuse, and ground-reflected irradiance incidents upon an inclined surface parallel to the plane of the modules in the PV array, H i is the in-plane irradiation kWh/m 2 , E out is the energy output from PV system (AC) (kWh); P o is the array power rating, AC (kW)…”

Section: Influence Of Rh and Wsmentioning

confidence: 99%

Assessment and performance analysis of roof-mounted crystalline stand-alone photovoltaic (SAPV) system at selected sites in South Africa

Ebhota

Tabakov

2022

Bull Natl Res Cent

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Background Technology is deployed to take the advantage of the ultimate energy from the sun (solar energy) to be used as heat or clean electricity. This energy is classified as “sustainable energy” or “renewable energy” because it requires a short period to naturally replenish the used energy. The application of solar energy involves the conversion of the natural energy resource into a usable form, either as heat or as electricity. The device consists of solar cells made from semiconductor materials, such as silicon, cadmium telluride, gallium arsenide, and so on. Solar potential is both location- and climate-dependent; it is characterised by low energy intensity and intermittency, which limit its application; an improvement in photovoltaic (PV) system performance will facilitate more deployment of the clean electricity system. Therefore, this study provides PV potential and system information required for reliable and optimised solar PV systems at chosen locations. This work uses a 5-stage solar PV system assessment and system performance evaluation utilising Solargis Prospect software. The PV potential and system performance of nine selected site locations in South Africa was conducted using this method. The nine PV site locations are Bloemfontein (Free State), Germiston (Gauteng), Mahikeng (North-West), Mbombela (Mpumalanga), Musgrave (Kwazulu-Natal), Musina (Limpopo), Port Nolloth (Northern Cape), Port Elizabeth (Eastern Cape), and Worcester (Western Cape). Result The results of the study were categorised into PV meteorological and system performance parameters as follows. Photovoltaic meteorological parameters—the site in Mahikeng has the highest global horizontal irradiance (GHI), 2156 kWh/m2, and a corresponding specific PV power output (1819.3 kWh/kWp), closely followed by Bloemfontein (2111.5 kWh/m2, 1819.4 kWh/kWp) and Port Nolloth (2003.2 kWh/m2, 1820.5 kWh/kWp). The lowest GHI (1645.1 kWh/m2) and specific PV power output (1436.6 kWh/kWp) were recorded in Musgrave. Photovoltaic system performance parameters—the range of performance ratio (PR) between 75.8 and 77.7% was reported across the nine sites. This ratio met the acceptable benchmark of PR. The highest specific PV power output loss, 118.8 kWh/kWp, was obtained at sites in Bloemfontein, Mahikeng, and Port Nolloth, while the lowest, 93.8 kWh/kWp, was in Musgrave. Conclusions The results of the solar PV potential assessment and the evaluation of PV systems performance in the chosen sites across the nine provinces of South Africa show huge PV potential and energy yield. From the results, it was observed that the range of the yearly average of: (1) GHI among the sites is 1645.1–2156 kWh/m2; (2) direct normal irradiation among the sites is 1785.3–2559.3 kWh/m2; (3) diffuse horizontal irradiation among the sites is 512.5–686kWh/m2; (4) global tilted irradiation among the sites is 1849.2–2397.1 kWh/m2; (5) the temperature (TEMP) among the sites is 16–23 °C; (6) specific PV power output (PVOUT specific) among the sites is 1436.6–1820.5 kWh/kWp; (7) total PV power output (PVOUT total) among the sites is 14.366–2397.1 MWh; and (8) the performance ratio among the sites is 75.8–77.7%. Based on the solar resource and performance results of the PV system obtained, the deployment of monocrystalline solar PV technology in all the considered sites across South Africa is technically viable.

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“…Pada Gambar 2 ditunjukan diagram alir pengoperasian PVSyst, dimulai dari membuka perangkat lunak, membuat database menggunakan data dari PVGIS [8], lalu membuat project design, memilih sistem yang digunakan, hingga menginputkan datasheet dari komponen utama berupa panel surya, baterai, solar charge controller, dan inverter.…”

Section: Gambar 2 Diagram Alir Perancangan Sistemunclassified

“…Penggunaan panel minimum disesuaikan dengan kebutuhan penyimpanan sistem dengan mempertimbangkan kondisi penyinaran yang paling rendah yaitu pada bulan Desember dan Januari. Berdasarkan data peyinaran, nilai penyinaran terendah terdapat pada bulan desember yaitu 3,08 kWh/m2 [8]. Untuk menghitung kebutuhan daya panel surya, digunakan acuan nilai penyinaran terendah untuk memastikan sistem dapat beroperasi walaupun tingkat penyinaran sedang rendah, digunakan formula sebagai berikut [10] = 683,5 Wp Sehingga minimum spesifikasi panel yang dibutuhkan dalam perancangan ini adalah 683,5 Wp.…”

Section: Panel Suryaunclassified

Studi Perancangan Pembangkit Listrik Tenaga Surya Pada Umkm Coffee Shop Di Kota Semarang Ditinjau Dari Analisis Kelayakan Teknis Menggunakan Software Pvsyst

2021

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Penyediaan tenaga listrik semakin bergeser menuju sumber energi bersih dan hijau. Kebijakan mengenai pentingnya penggunaan energi hijau pun mulai digalakkan. Dari banyaknya jenis energi terbarukan, salah satu yang paling banyak digunakan dan dapat diaplikasikan pada skala kecil seperti rumah tangga adalah PLTS. Lokasi geografis merupakan salah satu keunggulan yang dimiliki oleh Indonesia karena berada di garis khatulistiwa. Rata-rata radiasi matahari termasuk kategori relatif tinggi sepanjang tahun yaitu sebesar 4,80 kWp/m2/hari. Fleksibilitas PLTS yang dapat digunakan hingga skala kecil ini diharapkan mampu dimanfaatkan untuk mensuplai kebutuhan listrik untuk kebutuhan usaha UMKM. Tujuan dari penelitian ini yaitu merancang dan menganalisis potensi PLTS sistem offgrid dengan menempatkan PLTS pada atap Caravan/Foodtruck dengan studi kasus UMKM “Angka Coffee”. PLTS ini menggunakan sistem offgrid dan membutuhkan spesifikasi minimum kapasitas baterai 158Ah, Panel surya 683,5 Wp, inverter 805 Watt, dan Solar charge controller 28,5A. Metode penelitian yang digunakan adalah simulasi menggunakan PVSyst 7.1 dan membandingkan 4 jenis variasi sistem yang terdiri dari 2 merk panel surya dan 2 merk baterai. Didapatkan hasil variasi 4 memiliki nilai produksi energi listrik paling tinggi 694 kWh dengan PR ratio 0,572 dan tingkat pemenuhan energi listrik (solfrac) sebesar 0,99.

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Solar energy capacity assessment and performance evaluation of a standalone PV system using PVSYST

Cited by 51 publications

References 24 publications

Deep learning based model for classification of COVID −19 images for healthcare research progress

Deep learning based model for classification of COVID −19 images for healthcare research progress

Assessment and performance analysis of roof-mounted crystalline stand-alone photovoltaic (SAPV) system at selected sites in South Africa

Studi Perancangan Pembangkit Listrik Tenaga Surya Pada Umkm Coffee Shop Di Kota Semarang Ditinjau Dari Analisis Kelayakan Teknis Menggunakan Software Pvsyst

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