On the Estimation of Daily Beam Radiation on Tilted Surfaces

Yang, Yuqin; Liu, Guihua; Tang, Runsheng

doi:10.1016/j.egypro.2012.01.245

Cited by 13 publications

(7 citation statements)

References 5 publications

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“…The solar PV system is modelled as a fixed system tilted at an angle equal to the latitude and oriented towards due north [39,40]. The net radiation on the tilted panels and the power output are calculated using the methods outlined by Yang, Li [41] and HOMER Energy [42]. The selected technical specifications based on the SunPower E20-435-COM panel [43] and costs associated with the PV system are shown in Table 5.…”

Section: Pvmentioning

confidence: 99%

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Search for optimum renewable mix for Australian off-grid power generation

Balaji

Gurgenci

2019

Energy

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Section: Pvmentioning

confidence: 99%

“…The net incident radiation on the tilted surface is calculated based on the method outlined by [41].…”

Section: Appendix Amentioning

confidence: 99%

Search for optimum renewable mix for Australian off-grid power generation

Balaji

Gurgenci

2019

Energy

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“…With the importance of this research topic, the relationship between the inclined solar irradiance and horizontal solar irradiance has been investigated for many years in regions across the world, including Saudi Arabia [5], Spain [6,7], Singapore [8], Reunion Island [9], Pakistan [10], and Belgium [11]. Various empirical models have been developed to estimate inclined solar irradiance [12][13][14][15]. Among these methods, the correlation for estimating daily beam radiation on a tilted surface proposed by Liu and Jordan [12] has been used widely.…”

Section: Introductionmentioning

confidence: 99%

“…Among these methods, the correlation for estimating daily beam radiation on a tilted surface proposed by Liu and Jordan [12] has been used widely. However, Yang et al [13] suggests that the Liu and Jordan method is only suitable to estimate solar irradiance on a tilted surface with an azimuth angle less than 15 degrees. The estimation error increases as the tilt angles and azimuth angles increase.…”

Section: Introductionmentioning

confidence: 99%

Estimating Solar Irradiance on Tilted Surface with Arbitrary Orientations and Tilt Angles

Cheng

Hsu

et al. 2019

Energies

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Photovoltaics modules are usually installed with a tilt angle to improve performance and to avoid water or dust accumulation. However, measured irradiance data on inclined surfaces are rarely available, since installing pyranometers with various tilt angles induces high costs. Estimating inclined irradiance of arbitrary orientations and tilt angles is important because the installation orientations and tilt angles might be different at different sites. The goal of this work is to propose a unified transfer model to obtain inclined solar irradiance of arbitrary tilt angles and orientations. Artificial neural networks (ANN) were utilized to construct the transfer model to estimate the differences between the horizontal irradiance and the inclined irradiance. Compared to ANNs that estimate the inclined irradiance directly, the experimental results have shown that the proposed ANNs with differential outputs can substantially improve the estimation accuracy. Moreover, the trained model can successfully estimate inclined irradiance with tilt angles and orientations not included in the training data.

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“…For this analysis, a due north orientation, and tilt angle equal to the latitude are assumed. The methods used to calculate the net incident radiation on a titled PV panel are extensively documented by other authors and the equations outlined by Yang et al (2012) are used in the Python program. In order to calculate the power output the method used in HOMER is followed (HOMER Energy, 2018), which involves the following relation:…”

Section: Power Cyclementioning

confidence: 99%

UQ eSpace

Balaji¹

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The electrification of remote locations that lack grid-connectivity is a global challenge. In Australia, off-grid electricity accounts for 6% of total generation. At present these needs are met through the use of fossil fuels, resulting in a high electricity cost, and environmental consequences. With the present drive towards reducing greenhouse gas emissions and increasing the use of renewable energies, there is an opportunity to transition from the use of fossil fuels in remote locations to the use of renewables. In this regard, the hybridisation of renewable technologies with diesel generators has been shown to improve reliability and increase penetration. This project aims to explore the use of a hybrid renewable energy system consisting of solar photovoltaic (PV) with battery storage, concentrating solar thermal (CST) with thermal storage and diesel generators for off-grid power generation. The analysis considers two major consumer groups, viz. mining sites and communities, at three locations-Newman, Port Augusta and Halls Creek. In particular, the solar thermal system explored utilises a supercritical carbon dioxide power cycle, due to the suitability of this technology at scales appropriate for off-grid use. This is necessitated due to the fact that existing CST plants typically utilise a steam Rankine cycle, which suffers reduced efficiencies at small scales. Based on the existing literature, the proposed technologies have been found to present excellent suitability to this application. A key area of interest with regards to the CST plant is the turbine inlet temperature, due to higher temperatures presenting a higher power cycle efficiency, which offers a route to reduce energy costs. However, these higher temperatures increase the power cycle and receiver costs, due to the requirement of higher performance materials. Increases in receiver losses are also seen at higher temperatures. Similarly, the CST plant also presents increasing field losses with increasing size. In this analysis, three turbine inlet temperatures (namely 650°C, 800°C and 1000°C) are explored. A Python program was developed, encapsulating the thermodynamics and operating characteristics of each technology, to simulate the performance of the hybrid system over the course of one year, based on weather data and a synthetic load profile. This simulation was then used along with an optimisation function to identify the optimal mix of technologies in the hybrid system based on the minimum levelised cost of energy (LCOE). Using this program, results were generated for community and mining consumer groups at the three locations, and it was found that in both cases the optimal mix consists of CST as the primary source of baseload power, with 12-15 hours of thermal storage. While PV and diesel generators were both shown to be necessary, they represent a smaller fraction of the total energy production and serve as supplementary sources of power. Notably, none of the optima included battery storage, highlighting the high costs of this technology ...

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On the Estimation of Daily Beam Radiation on Tilted Surfaces

Cited by 13 publications

References 5 publications

Search for optimum renewable mix for Australian off-grid power generation

Search for optimum renewable mix for Australian off-grid power generation

Estimating Solar Irradiance on Tilted Surface with Arbitrary Orientations and Tilt Angles

UQ eSpace

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