Simulation analysis of power management techniques for a solar-powered embedded device

Heo, JiYoung; Park, Moonju

doi:10.1109/icpre.2017.8390653

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…Long-term research has led to the maturity of this type of energy harvesting with different fields of application [2]: from power production and heating [3] to outer space energy supply [4]. Due to growing enthusiasm for the Internet of Things and Industry 4.0 revolution [5], a new application domain has been opened in recent years to supply embedded devices and cyber-physical systems [6]. The addition of a small PV module to supply an ultra-low power device has shown promising results [7].…”

Section: Introductionmentioning

confidence: 99%

Data-Sets for Indoor Photovoltaic Behavior in Low Lighting Conditions

Masoudinejad

2020

Data

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Analysis of voltage–current behavior of photovoltaic modules is a critical part of their modeling. Parameter identification of these models demands data from them, measured in realistic environments. In spite of advancement in modeling methodologies under solar lighting, few analyses have been focused on indoor photovoltaics. Lack of accurate and reproducible data as a major challenge in this field is addressed here. A high accuracy measurement setup for evaluation and analysis of indoor photovoltaic modules is explained. By use of this system, different modules are measured under diverse environmental conditions. These measurements are structured in data-sets that can be used for either analysis of physical environment effects and modeling or development of specific parameter identification methods in low light intensity conditions.

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