2022
DOI: 10.1016/j.esd.2022.10.016
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The effect of photovoltaic shading with ideal tilt angle on the energy cost optimization of a building model in European cities

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Cited by 20 publications
(3 citation statements)
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“…The study found that south-facing PV panels in the northern hemisphere could generate more electricity than eastor west-facing panels and that the difference in output increased as the latitude of the panels increased [21]. Kiviluoma et al [22] found that the angle at which PV panels are tilted can also affect their performance. The study found that tilting PV panels at an angle equal to their latitude maximized the amount of sunlight they could capture and convert into electricity and that this angle varied depending on the location of the panels.…”
Section: Figure 1 the Solar Irradiation Potential Of Turkey And Konyamentioning
confidence: 99%
“…The study found that south-facing PV panels in the northern hemisphere could generate more electricity than eastor west-facing panels and that the difference in output increased as the latitude of the panels increased [21]. Kiviluoma et al [22] found that the angle at which PV panels are tilted can also affect their performance. The study found that tilting PV panels at an angle equal to their latitude maximized the amount of sunlight they could capture and convert into electricity and that this angle varied depending on the location of the panels.…”
Section: Figure 1 the Solar Irradiation Potential Of Turkey And Konyamentioning
confidence: 99%
“…The energy optimization of buildings is also a fundamental aspect and this is a topic of continuous research. Baghoolizadeh et al [48] showed 17-34% electricity cost savings by choosing a suitable solar shading and highlighting the role of the tilt angle of PV shading for cities located further away from the equator (distance increases the angle). Rasool et al [49] explored the techno-reliability optimization framework to incorporate the impact of reliability constraints during the operation and planning phase of hybrid renewable energy system, while Reinert et al [50] discuss a method to optimize and assess a sector-coupled, national energy system using dynamic Life Cycle Assessment (LCA).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Tunisia's arid climate, characterized by high humidity [5] and persistent dust [6], exacerbates the need for regular solar panel maintenance. However, existing solar panel cleaning robots are primarily designed for lower tilt angles [7] and milder climates, rendering them ineffective in Tunisia's demanding environment. To address this challenge, we have developed an innovative solution: The Solar Panel Cleaning Robot based on a Rail System, seamlessly integrated with Internet of Thing (IoT) technology through the use of the Raspberry Pi board.…”
Section: Introductionmentioning
confidence: 99%