Abstract
Solar-powered homes can be an optimal solution for the lack of continuous power sources problem in initial low-income communities. However, the challenge of Photovoltaic (PV) uncertainty can make it difficult to coordinate this vital solar energy in real-time. This paper proposes a new, low-cost solution for assessing the uncertainty of photovoltaic power generation in smart home energy management systems. The proposed index, inspired by the well-known clearness index, is an adaptive deterministic indicator that only requires free Geographic Information System (GIS) models and PV power measurement, without the need for expensive high-tech controllers or expert engineers/programmers. The proposed index successfully predicts the daily PV energy with errors of less than 3% for more than 93% of studied days, according to the 2020 measured solar radiation of the studied case in an African developing location, i.e. Cairo. Egypt.
Article Highlights
The existing methods of PV uncertainty assessment are discussed.
A new fast and simple adaptive clearness index is proposed for a real time smart home energy management system.
The proposed index is evaluated for a typical case study in Egypt.
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Details
1 Helwan University, Electrical Power and Machines Department, Faculty of Engineering at, Cairo, Egypt (GRID:grid.412093.d) (ISNI:0000 0000 9853 2750)
2 Helwan University, Electrical Power and Machines Department, Faculty of Engineering at, Cairo, Egypt (GRID:grid.412093.d) (ISNI:0000 0000 9853 2750); Heliopolis University, Energy Engineering, Faculty of Engineering at, Cairo, Egypt (GRID:grid.449009.0) (ISNI:0000 0004 0459 9305)