Modelling of Indoor Lighting Energy Harvesting System for IoT

Network communications has seen to be evolving with the rise of Internet of Things (IoT). Low powered IoT devices consume less power and can be powered up using an energy harvesting system instead of using batteries. Due to the wide availability of indoor lighting in offices, hospitals and any in...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Ragunathan, Ranjeeta
التنسيق: Final Year Project
اللغة:English
منشور في: Universiti Teknologi PETRONAS 2018
الموضوعات:
الوصول للمادة أونلاين:http://utpedia.utp.edu.my/22627/1/Final%20Dissertation_RanjeetaRagunathan20112.pdf
http://utpedia.utp.edu.my/22627/
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المؤسسة: Universiti Teknologi Petronas
اللغة: English
الوصف
الملخص:Network communications has seen to be evolving with the rise of Internet of Things (IoT). Low powered IoT devices consume less power and can be powered up using an energy harvesting system instead of using batteries. Due to the wide availability of indoor lighting in offices, hospitals and any indoor environment of a building, energy can be harvested through these sources. A photovoltaic panel that converts light energy into electrical energy is used to harvest the power from these indoor lighting. Thus, it is important to have an accurate model of photovoltaic panel that can predict and estimate its performance at all operating condition. This is important because most manufacturers provide datasheet values only at open circuit point, short circuit point and maximum power point. This project discusses a methodology for modelling an accurate Single Mechanism Five Parameter (1M5P) model for indoor light energy harvesting.