PVsyst Software for Better Energy Efficiency of a Grid-Connected Photovoltaic Power Station
Author(s) -
S.V. Mitrofanov,
Дамир Куандыкович Байкасенов
Publication year - 2021
Publication title -
bulletin of the south ural state university series power engineering
Language(s) - English
Resource type - Journals
eISSN - 2409-1057
pISSN - 1990-8512
DOI - 10.14529/power210209
Subject(s) - photovoltaic system , tilt (camera) , bittorrent tracker , solar tracker , grid , maximum power principle , solar energy , software , maximum power point tracking , environmental science , solar micro inverter , computer science , power (physics) , simulation , electrical engineering , engineering , physics , geodesy , geology , mechanical engineering , artificial intelligence , quantum mechanics , inverter , eye tracking , programming language
The paper presents a classification of solar tracking systems used in photovoltaic power stations (PVS) and their operating principles. A simulation model of a grid-connected 5-kW PVS has been developed in PVsyst, to which end the researchers selected PVS equipment and optimized the PV cell tilt angles. The paper further analyzes a grid-connected PVS in Orenburg Oblast in PVsyst under the following configurations: static PV cells, not tilted vs seasonally varied tilts; single-axis solar trackers with vertical and horizontal axes of rotation vs a dual-axis solar tracker. The analysis is based on solar insolation data for 2019 obtained from the research team’s HP-2000 weather station. Dual-axis solar tracker and single-axis vertical trackers are shown to have the best year-round generation, providing an increase of 13.2% and 11.5%, respectively, against the static PV cells (no change in tilt).
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom