A novel numerical simulation model for the PVT water system in the GCC region

Salameh, Tareq; Tawalbeh, Muhammad; Juaidi, Adel; Abdallah, Ramez; Issa, Salah; Alami, Abdul Hai

doi:10.1109/aset48392.2020.9118264

Cited by 15 publications

(2 citation statements)

References 24 publications

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“…(3) Solar PV technologies represent a safe, pollution-free, and environmentally friendly source of energy [5]. Several factors affect the PV performance other than the orientation and tilting of solar PV such as wind speed, ambient temperature, relative humidity, and dust deposition [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

A Comparative Assessment for the Potential Energy Production from PV Installation on Residential Buildings

et al. 2020

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This paper targets the future energy sustainability and aims to estimate the potential energy production from installing photovoltaic (PV) systems on the rooftop of apartment’s residential buildings, which represent the largest building sector. Analysis of the residential building typologies was carried out to select the most used residential building types in terms of building roof area, number of floors, and the number of apartments on each floor. A computer simulation tool has been used to calculate the electricity production for each building type, for three different tilt angles to estimate the electricity production. Tilt angle, spacing between the arrays, the building shape, shading from PV arrays, and other roof elements were analyzed for optimum and maximum electricity production. The electricity production for each household has been compared to typical household electricity consumption and its future consumption in 2030. The results show that installing PV systems on residential buildings can speed the transition to renewable energy and energy sustainability. The electricity production for building types with 2–4 residential units can surplus their estimated future consumption. Building types with 4–8 residential units can produce their electricity consumption in 2030. Building types of 12–24 residential units can produce more than half of their 2030 future consumption.

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Section: Introductionmentioning

confidence: 99%

A Comparative Assessment for the Potential Energy Production from PV Installation on Residential Buildings

et al. 2020

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“…Because of rapid technological progress and reduce costs, solar PV will have an essential role in reaching the sustainable development goals (SDGs) by 2030 [4], increase the share of renewable energy in the universal electricity sector, in addition to the provision of electricity for remote areas [5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

A Multi-Level World Comprehensive Neural Network Model for Maximum Annual Solar Irradiation on a Flat Surface

et al. 2020

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With the growing demand for clean and economically feasible renewable energy, solar photovoltaic (PV) system usage has increased. Among many factors, the tilt and azimuth angles are of great importance and influence in determining the photovoltaic panel’s efficiency to generate electricity. Although much research was conducted related to solar PV panels’ performance, this work critically determined the tilt and azimuth angles for PV panels in all countries worldwide. The optimum tilt and azimuth angles are estimated worldwide by the photovoltaic geographic information system (PVGIS). Also, annual and average daily solar irradiation incident on the tilted and oriented plate optimally (AR1 and DR1) are calculated. Besides, annual and average daily solar irradiation incident on plate tilt optimally and oriented because of the south in the northern hemisphere and because of the north in the southern hemisphere (AR2 and DR2) are estimated. PVGIS is also used to calculate the annual and average daily solar irradiation incident on the horizontal plate (AR3 and DR3). The data collected from PVGIS are used to develop an efficient and accurate artificial neural network model based on feed-forward neural network approach. This model is an essential subpart that can be used in an embedded system or an online system for further PV system analysis and optimization. The developed neural model reflected very high accuracy in predicting the PV panels’ optimal tilt and azimuth angles worldwide. The benefit of tilting is generally increased by increasing the latitude. As the latitude increases, the tilt factor (F) increases because of the increase in the optimum tilt angle by increasing the latitude. The optimal orientation is due to the north in the southern hemisphere and due to the south in the northern hemisphere for most cities worldwide. In sum, it can be concluded that the optimum tilt angle is equal to or greater than the latitude until the latitude 30°. The optimum tilt angle becomes less than the latitude, and the difference is increased until it reaches more than 20°. Hence in this study the aim is to develop a simple neural network model which can accurately predict the annual radiation and optimum tilt and azimuth angle in any region of the world and can be easily implemented in a low-cost microcontroller.

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Estimation of solar irradiation and optimum tilt angles for south-facing surfaces in the United Arab Emirates: a case study using PVGIS and PVWatts

Abdallah

Juaidi

Salameh

et al. 2022

Recent Advances in Renewable Energy Technologies

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A novel numerical simulation model for the PVT water system in the GCC region

Cited by 15 publications

References 24 publications

A Comparative Assessment for the Potential Energy Production from PV Installation on Residential Buildings

A Comparative Assessment for the Potential Energy Production from PV Installation on Residential Buildings

A Multi-Level World Comprehensive Neural Network Model for Maximum Annual Solar Irradiation on a Flat Surface

Estimation of solar irradiation and optimum tilt angles for south-facing surfaces in the United Arab Emirates: a case study using PVGIS and PVWatts

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