Detailed analysis of the solar power collected in a beam-down central receiver system

Solar Energy ◽  
2012 ◽  
Vol 86 (2) ◽  
pp. 734-745 ◽  
Author(s):  
Erminia Leonardi
Keyword(s):  
Detailed Analysis ◽  
Solar Power ◽  
Central Receiver ◽  
Receiver System

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.

Prospects for Use of Solar Thermal Energy in High-Temperature Process Heat Applications

2016 ◽  
Vol 819 ◽  
pp. 16-20
Author(s):  
Hany Al-Ansary
Keyword(s):  
Thermal Energy ◽  
Solar Power ◽  
Solar Thermal ◽  
Solar Thermal Energy ◽  
Concentrating Solar Power ◽  
Levelized Cost ◽  
Central Receiver ◽  
Cost Of Energy ◽  
Receiver System ◽  
Process Heat

Concentrating solar power is a family of solar energy technologies that have been used for decades to produce power. These technologies have a unique advantage, which is the ability to store thermal energy for prolonged periods of time such that stable and dispatchable energy can be provided to the electricity grid. However, concentrating solar power has been recently losing market share to photovoltaic technology due to the former’s significantly higher initial cost. There are many efforts worldwide to develop innovative solutions that reduce the cost and/or increase efficiency of concentrating solar power systems. However, concentrating solar thermal energy already has great promising area of application that is still largely unexplored, and that is high-temperature industrial process heat. This study attempts to make the case for using concentrating solar thermal energy in process heat applications by examining the economic feasibility (represented by the levelized cost of energy) for three scenarios of deployment, where the temperature levels are 400°C, 550°C, and 700°C, respectively. The first scenario uses parabolic trough collectors, while the second uses a central receiver system, both with 12 hours of molten salt storage. The third scenario uses a central receiver system that employs the innovative falling particle receiver concept to push the operating limit to 700°C, and silica sand is used to store thermal energy for 12 hours. The location chosen for this analysis is Alice Springs, Australia, due to its high direct normal irradiance and the presence of mining industries in its vicinity. The analysis shows that all three scenarios have a lower levelized cost of energy when compared to natural gas. To further confirm these findings, the analysis needs to be extended to other locations to account for different solar resources and different economic constraints.

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.

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 A Design Study of an Off-axis Paraboloid Shaping Method for Central Receiver System Heliostats

2015 ◽  
Vol 69 ◽  
pp. 158-167 ◽  
Author(s):  
L. Meng ◽  
Z. You ◽  
S. Dubowsky ◽  
B. Li ◽  
F. Xing
Keyword(s):  
Design Study ◽  
Central Receiver ◽  
Receiver System

scholarly journals Weather data errors analysis in solar power stations generation forecasting

2018 ◽  
Vol 51 ◽  
pp. 02002 ◽  
Author(s):  
Stanislav Eroshenko ◽  
Alexandra Khalyasmaa
Keyword(s):  
Detailed Analysis ◽  
Solar Power ◽  
Weather Data ◽  
Forecasting Model ◽  
Short Term ◽  
Data Errors ◽  
Power Stations ◽  
Software Product ◽  
Short Term Forecasting ◽  
Errors Analysis

The paper presents a short-term forecasting model for solar power stations (SPS) generation developed by the authors. This model is based on weather data and built into the existing software product as a separate short-term forecasting module for the SPS generation. The main problems associated with forecasting the SPS generation on cloudy days were revealed in the framework of authors' research, which is due not to the error of the developed model but to the use of the same learning sample for both solar and cloudy days. This paper contains analysis of the main problems related to the learning sampling, samples pattern, quality and representativeness for forecasting the SPS generation on cloudy days. Besides, the paper includes a calculation example performed for the existing SPS and a detailed analysis of the forecast generation on cloudy days based on the actual weather provider data.

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