Solar Resource Variability

Perez, Richard; Lauret, Philippe; Pérez, Marc; David, Mathieu; Hoff, Thomas; Kivalov, Sergey

doi:10.1007/978-3-319-76876-2_7

Cited by 11 publications

(4 citation statements)

References 51 publications

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“…It maybe seen from these studies that much more capacity can be installed without harmful consequences for the grid if the fleet is considered in aggregate. Previous authors [4–14] have verified that increasing spatial dispersion and number of sites reduces variability in incident irradiation and PV generation. Yet the same number of sites covering the same geographical area may form different patterns, e.g.…”

Section: Current Knowledge Of Influence Of Pv System Distributionmentioning

confidence: 97%

Comparison of solar radiation and PV generation variability: system dispersion in the UK

Palmer

Koubli

Cole

et al. 2017

IET Renewable Power Generation

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This study investigates how the number and geographical distribution of solar installations may reduce aggregate irradiance variability and therefore lessen the overall impact of photovoltaic (PV) on grid distribution. The current distribution of UK solar farms is analysed. It is found that variability is linked to site clustering. Other factors may include distance and direction between sites, proximity to coast, local topography and weather patterns (i.e. wind, cloud etc.). These factors do not operate in isolation but form a complex and unpredictable system. The UK solar farm fleet currently comprises a range of system sizes which, when viewed en masse, reduces temporal variation in PV generation. The predominant southwest-northeast direction of solar farm groups is also beneficial in reducing output variability within grid supply point areas.

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Section: Current Knowledge Of Influence Of Pv System Distributionmentioning

confidence: 97%

Comparison of solar radiation and PV generation variability: system dispersion in the UK

Palmer

Koubli

Cole

et al. 2017

IET Renewable Power Generation

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show abstract

“…The integration of Photovoltaic (PV) in energy systems, especially in an off-grid context, needs to take into account the variability of this energy source [1], [2]. Using a battery energy storage system (BESS) is a common choice to address this issue [3], which has been largely evaluating its benefit in Hybrid Energy Systems (HES) in the literature.…”

Section: Introductionmentioning

confidence: 99%

A performance comparison between the isolated hybrid energy system with and without battery energy storage system

Zhuang,

e Silva,

Verbois

et al. 2023

IET Conf. Proc.

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This work explores the performance difference between the approach with and without Battery Energy Storage System (BESS) for an off-grid Hybrid Energy System (HES). For the storage-less case, the solar forecast is used to mitigate the system variability. The evaluation is achieved through a highly configurable Python-based simulation platform and a costbased evaluation approach, where the simulation results are considered as the system performance indicator. In this work, two forecast methods and 6 different BESS sizes from 0 to 50MWh are tested. The results show that the use of BESS can enhance the system stability, increase the PV energy share in the final energy consumption, and reduce the final system cost, especially in a situation with uncertainty. In cases with a high PV penetration rate, a larger BESS provides greater advantages, however, the overall performance-to-cost ratio of an oversized BESS is lower compared to a properly sized BESS. For a high-value offgrid system, BESS proves to be a useful and efficient option. Alternatively, a reasonably accurate forecast is also a viable cost-effective choice.

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“…One of the RES most readily available as an alternative to fossil fuels is solar energy, which can be harvested by transforming solar radiation into electricity via the photovoltaic (PV) effect, or as thermal energy either for heating purposes or indirectly to electricity through concentrated solar power (CSP) [2,5,6]. However, as with other fluctuating RES, solar energy has a dependence on external conditions for its production, since solar radiation will vary by location, time, and other factors such as cloud coverage [7].…”

Section: Introductionmentioning

confidence: 99%

Performance Assessment of Using Various Solar Radiation Data in Modelling Large-Scale Solar Thermal Systems Integrated in District Heating Networks

et al. 2021

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Solar Resource Variability

Cited by 11 publications

References 51 publications

Comparison of solar radiation and PV generation variability: system dispersion in the UK

Comparison of solar radiation and PV generation variability: system dispersion in the UK

A performance comparison between the isolated hybrid energy system with and without battery energy storage system

Performance Assessment of Using Various Solar Radiation Data in Modelling Large-Scale Solar Thermal Systems Integrated in District Heating Networks

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