| Title |
Comparative Performance Testing of Solar Panels for Smart City Micro-grids |
| ID_Doc |
38859 |
| Authors |
Rosyid, OA |
| Title |
Comparative Performance Testing of Solar Panels for Smart City Micro-grids |
| Year |
2017 |
| Published |
|
| DOI |
|
| Abstract |
Urban areas host more than 50% of the world's populations, are responsible for 75% of energy consumption in the world, and they emit almost 80% of global carbon dioxide. Smart grids are being developed to tackle these challenges through integration of renewable and green energy as well as energy efficiency. They are moving toward a concept of networked micro-grids. Micro-grids enable the integration of distributed renewable energy such as rooftop photovoltaic (PV) system within smart city communities. To operate reliably and efficiently of the rooftop, a comparative performance testing of solar panels is important because the energy yield delivered by different types of solar panel is a key consideration in the selection of appropriate technologies for the rooftop. Power output of solar panels is not only affected by its nominal power rating, but also affected by mounting system and weather parameters such as irradiation and temperature. The comparative performance testing is an energy yield measurements of different solar panel technologies performed at outdoor conditions. This paper presents the testing result and analysis of three different solar panels during a medium term outdoor exposure at the tropical climate of Indonesia. This work shows that the Mono-Si solar panel was the best in energy yields performance ratio, as well as efficiency during the whole year compared with micromorph and poly-Si. Meanwhile the micromorph showed the lowest panel efficiency, but the more power production compared with poly-Si. Meanwhile, efficiency and performance ratio of the solar panels show a decreasing trend with the increase of solar panels temperature. |
| Author Keywords |
efficiency; energy yield; micro-grid; performance ratio; solar panel; smart community; testing |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000425237700014 |
| WoS Category |
Automation & Control Systems; Computer Science, Artificial Intelligence; Engineering, Electrical & Electronic |
| Research Area |
Automation & Control Systems; Computer Science; Engineering |
| PDF |
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