Progresses in DNI measurements in Southern Portugal

Cavaco, Afonso; Silva, Hugo; Canhoto, Paulo; Osório, Tiago; Collares-Pereira, Manuel

doi:10.1063/1.5067189

Cited by 5 publications

(3 citation statements)

References 6 publications

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“…Measurements of DNI were used from a ground-based station located in Évora city (38.567686 • N, 7.911722 • W), from the Institute of Earth Sciences (ICT-Instituto de Ciências da Terra) in Southern Portugal, a semi-arid region [16] with a high frequency of clear sky day occurrences and annual energy maximums around 2100 kWh/m 2 [17].…”

Section: Measurementsmentioning

confidence: 99%

Short-Term Forecasts of DNI from an Integrated Forecasting System (ECMWF) for Optimized Operational Strategies of a Central Receiver System

et al. 2019

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Short-term forecasts of direct normal irradiance (DNI) from the Integrated Forecasting System (IFS) and the global numerical weather prediction model of the European Centre for Medium-Range Weather Forecasts (ECMWF) were used in the simulation of a solar power tower, through the System Advisor Model (SAM). Recent results demonstrated that DNI forecasts have been enhanced, having the potential to be a suitable tool for plant operators that allows achieving higher energy efficiency in the management of concentrating solar power (CSP) plants, particularly during periods of direct solar radiation intermittency. The main objective of this work was to assert the predictive value of the IFS forecasts, regarding operation outputs from a simulated central receiver system. Considering a 365-day period, the present results showed an hourly correlation of ≈0.78 between the electric energy injected into the grid based on forecasted and measured data, while a higher correlation was found for the daily values (≈0.89). Operational strategies based on the forecasted results were proposed for plant operators regarding the three different weather scenarios. Although there were still deviations due to the cloud and aerosol representation, the IFS forecasts showed a high potential to be used for supporting informed energy dispatch decisions in the operation of central receiver units.

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Section: Measurementsmentioning

confidence: 99%

Short-Term Forecasts of DNI from an Integrated Forecasting System (ECMWF) for Optimized Operational Strategies of a Central Receiver System

et al. 2019

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“…Continuous measured data gathered from one of twelve radiometric stations of an existing national network in Portugal [13] is used. The network, designed and installed for DNI resource mapping, will also contribute for the operationalization of solar power plants, as part of the DNI-A project (reference ALT20-03-0145-FEDER-000011).…”

Section: Datamentioning

confidence: 99%

“…The climate of this region is of the Mediterranean type (Csa, based on the Köppen classification) with maximum temperatures that generally fluctuate from 31˚C to 35˚C during the summer months, and occasionally reaching values above 40˚C [14]. The region is characterized in general by a clean atmosphere and has exceptional conditions for harvesting of solar energy, since it has one of the highest solar resource potentials in Europe, with a DNI annual availability over 2100 kWh/m 2 /year [13]. DNI measurements were performed using a CHP1 pyrheliometer from Kipp & Zonen, being attached to a SOLYS2 Sun-Tracker.…”

Section: Datamentioning

confidence: 99%

Predictive value of short-term forecasts of DNI for solar energy systems operation

Lopes

Conceição

Silva

et al. 2019

SOLARPACES 2018: International Conference on Concentrating Solar Power and Chemical Energy Systems

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Solar power forecasting plays a critical role in power-system management, scheduling, and dispatch operations. Accurate forecasts of direct normal irradiance (DNI) are essential for an optimized operation strategy of concentrating solar thermal (CST) systems, particularly during partly cloudy days, due to solar intermittency. In this work, short-term forecasts from the radiative scheme McRad (Cycle 41R2) included in the Integrated Forecasting System (IFS), the global numerical weather prediction model of the European Centre for Medium-Range Weather Forecasts (ECMWF), together with in-situ ground-based measurements, are used in a simulated linear focus parabolic-trough power system through the System Advisor Model (SAM). Results are part of a preliminary analysis concerning the value of DNI predictions from the IFS for operation improvement of a CST system with similar configurations as the Andasol 3 CST power plant. For a 365-day period, the present results show high correlations between predictions of energy to grid based on measurements and IFS forecasts mainly for daily values (≈0.94), while lower correlations are obtained for hourly values (≈0.88), due to cloud representation of the IFS during overcast periods, leading to small deviations with respect to those from measurements. Moreover, to measure the forecasting skill of the IFS, daily and hourly skill scores based on local measurements and a persistence model are obtained (≈0.66 and ≈0.51, respectively), demonstrating that the IFS has a good overall performance. These aspects show the value that forecasted DNI has in the operation management of CST power systems, and, consequently, in the electricity market.

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Short-term forecasts of GHI and DNI for solar energy systems operation: assessment of the ECMWF integrated forecasting system in southern Portugal

et al. 2018

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Progresses in DNI measurements in Southern Portugal

Cited by 5 publications

References 6 publications

Short-Term Forecasts of DNI from an Integrated Forecasting System (ECMWF) for Optimized Operational Strategies of a Central Receiver System

Short-Term Forecasts of DNI from an Integrated Forecasting System (ECMWF) for Optimized Operational Strategies of a Central Receiver System

Predictive value of short-term forecasts of DNI for solar energy systems operation

Short-term forecasts of GHI and DNI for solar energy systems operation: assessment of the ECMWF integrated forecasting system in southern Portugal

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