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

Energies ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1368 ◽  
Author(s):  
Lopes ◽  
Conceição ◽  
Silva ◽  
Fasquelle ◽  
Salgado ◽  
...  
Keyword(s):  
Solar Power ◽  
Weather Prediction ◽  
Electric Energy ◽  
Numerical Weather Prediction Model ◽  
Short Term ◽  
Operational Strategies ◽  
Central Receiver ◽  
Receiver System ◽  
Forecasting System ◽  
Solar Power Tower

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.

scholarly journals Solar Thermal Power: Appraisal of Solar Power Towers

2018 ◽  
Vol 225 ◽  
pp. 04003
Author(s):  
Hashem Shatnawi ◽  
Chin Wai Lim ◽  
Firas Basim Ismail
Keyword(s):  
Heat Transfer ◽  
Heat Flux ◽  
Solar Power ◽  
Thermal Power ◽  
Tube Material ◽  
Power Cycles ◽  
Solar Thermal Power ◽  
Central Receiver ◽  
Receiver System ◽  
Solar Power Tower

This study delves into several engineering procedures related to solar power tower plants. These installations come with central receiver system technologies and high-temperature power cycles. Besides a summary emphasizing on the fundamental components of a solar power tower, this paper also forwards a description of three receiver designs. Namely, these are the tubular receiver, the volumetric receiver and the direct absorber receiver. A variety of heat transfer mediums were assessed, while a comprehensive explanation was provided on the elements of external solar cylindrical receivers. This explanation covers tube material, molten salt, tube diameter and heat flux.

Simulation of Utility-Scale Central Receiver System Power Plants

2009 ◽  
Author(s):  
Michael J. Wagner ◽  
Sanford A. Klein ◽  
Douglas T. Reindl
Keyword(s):  
Power Plants ◽  
Solar Power ◽  
Unit Cost ◽  
Concentrating Solar Power ◽  
Central Receiver ◽  
Receiver System ◽  
Parabolic Dish ◽  
Tool Set ◽  
Solar Power Tower ◽  
Economic Analyses

The operation of solar energy systems is necessarily transient. Over the lifetime of a concentrating solar power plant, the system operates at design conditions only occasionally, with the bulk of operation occurring under part-load conditions depending on solar resource availability. Credible economic analyses of solar-electric systems requires versatile models capable of predicting system performance at both design and off-design conditions. This paper introduces new and adapted simulation tools for power tower systems including models for the heliostat field, central receiver, and the power cycle. The design process for solar power tower systems differs from that for other concentrating solar power (CSP) technologies such as the parabolic trough or parabolic dish systems that are nearly modular in their design. The design of an optimum power tower system requires a determination of the heliostat field layout and receiver geometry that results in the greatest long-term energy collection per unit cost. Research presented in this paper makes use of the DELSOL3 code (Kistler, 1986) which provides this capability. An interface program called PTGEN was developed to simplify the combined use of DELSOL3 and TRNSYS. The final product integrates the optimization tool with the detailed component models to provide a comprehensive modeling tool set for the power tower technology.

Multi-aiming strategy design for quadruple prism shaped central receiver in solar power tower system

2017 ◽  
Vol 4 (2) ◽  
pp. 223-230
Author(s):  
Wenjun Huang ◽  
Yingmei Qi ◽  
Fuxing Yi ◽  
Dewen Li ◽  
Hao Wang
Keyword(s):  
Solar Power ◽  
Central Receiver ◽  
Solar Power Tower ◽  
Strategy Design ◽  
Tower System

scholarly journals A Short-Term Ensemble Wind Speed Forecasting System for Wind Power Applications

2012 ◽  
Vol 51 (10) ◽  
pp. 1763-1774 ◽  
Author(s):  
Justin J. Traiteur ◽  
David J. Callicutt ◽  
Maxwell Smith ◽  
Somnath Baidya Roy
Keyword(s):  
Wind Speed ◽  
Wind Power ◽  
Statistical Models ◽  
Bayesian Model Averaging ◽  
Numerical Models ◽  
Weather Prediction ◽  
Environmental Stability ◽  
Short Term ◽  
Wind Speed Forecasting ◽  
Forecasting System

AbstractThis study develops an adaptive, blended forecasting system to provide accurate wind speed forecasts 1 h ahead of time for wind power applications. The system consists of an ensemble of 21 forecasts with different configurations of the Weather Research and Forecasting Single Column Model and persistence, autoregressive, and autoregressive moving-average models. The ensemble is calibrated against observations for a 6-month period (January–June 2006) at a potential wind-farm site in Illinois using the Bayesian model averaging technique. The forecasting system is evaluated against observations for the July 2006–December 2007 period at the same site. The calibrated ensemble forecasts significantly outperform the forecasts from the uncalibrated ensemble as well the time series models under all environmental stability conditions. This forecasting system is computationally more efficient than traditional numerical weather prediction models and can generate a calibrated forecast, including model runs and calibration, in approximately 1 min. Currently, hour-ahead wind speed forecasts are almost exclusively produced using statistical models. However, numerical models have several distinct advantages over statistical models including the potential to provide turbulence forecasts. Hence, there is an urgent need to explore the role of numerical models in short-term wind speed forecasting. This work is a step in that direction and is likely to trigger a debate within the wind speed forecasting community.

Design and Simulation of Small Heliostat Field at Universiti Teknologi PETRONAS Campus

2014 ◽  
Vol 699 ◽  
pp. 613-618
Author(s):  
Ahmed Gamil ◽  
Syed Ihtsham Ul Haq Gilani ◽  
Hussain Hamoud Al-Kayiem
Keyword(s):  
Solar Power ◽  
Power Input ◽  
The Sun ◽  
Design Specifications ◽  
Testing Facility ◽  
Receiver System ◽  
Simulation Results ◽  
Ground Distance ◽  
Solar Power Tower ◽  
Tower Height

Solar Power Tower systems have attracted the worldwide interest since the early 1980s and heliostat fields have been an area for development due to their high cost and important function. This paper presents a mathematical model to design a small heliostat field with 3 dual-axis heliostat units located in Universiti Teknologi PETRONAS, Malaysia. The model mainly relies on the sun position and tower and heliostat geometrical relations, namely, tower height and the ground distance of the concerned heliostats. The heliostat field layout is configured according to radial staggered pattern then varying the tower height and heliostat ground distance to calculate the facing and target angle of each heliostat. TRNSYS software was used to simulate the power output for the proposed heliostat field. The modeled heliostat field could deliver 10 kW for 12.4 m2reflective area for latitude 4.3̊ N. A solar power tower testing facility will be built according to the design specifications produced in this paper and TRNSYS simulation results are required to estimate the power input to the receiver system for sizing purpose in the future.

scholarly journals Solar Irradiance Nowcasting Case Studies near Sacramento

2017 ◽  
Vol 56 (1) ◽  
pp. 85-108 ◽  
Author(s):  
Jared A. Lee ◽  
Sue Ellen Haupt ◽  
Pedro A. Jiménez ◽  
Matthew A. Rogers ◽  
Steven D. Miller ◽  
...  
Keyword(s):  
Solar Irradiance ◽  
Weather Prediction ◽  
Numerical Weather Prediction Model ◽  
Cumulus Parameterization ◽  
Lead Times ◽  
Shallow Cumulus ◽  
Optimal Dynamic ◽  
Forecasting System ◽  
Component Models ◽  
Solar Power Forecasting

AbstractThe Sun4Cast solar power forecasting system, designed to predict solar irradiance and power generation at solar farms, is composed of several component models operating on both the nowcasting (0–6 h) and day-ahead forecast horizons. The different nowcasting models include a statistical forecasting model (StatCast), two satellite-based forecasting models [the Cooperative Institute for Research in the Atmosphere Nowcast (CIRACast) and the Multisensor Advection-Diffusion Nowcast (MADCast)], and a numerical weather prediction model (WRF-Solar). It is important to better understand and assess the strengths and weaknesses of these short-range models to facilitate further improvements. To that end, each of these models, including four WRF-Solar configurations, was evaluated for four case days in April 2014. For each model, the 15-min average predicted global horizontal irradiance (GHI) was compared with GHI observations from a network of seven pyranometers operated by the Sacramento Municipal Utility District (SMUD) in California. Each case day represents a canonical sky-cover regime for the SMUD region and thus represents different modeling challenges. The analysis found that each of the nowcasting models perform better or worse for particular lead times and weather situations. StatCast performs best in clear skies and for 0–1-h forecasts; CIRACast and MADCast perform reasonably well when cloud fields are not rapidly growing or dissipating; and WRF-Solar, when configured with a high-spatial-resolution aerosol climatology and a shallow cumulus parameterization, generally performs well in all situations. Further research is needed to develop an optimal dynamic blending technique that provides a single best forecast to energy utility operators.

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