scholarly journals OVERVIEW OF POLICIES FOR THE GENERATION FROM RENEWABLE ENERGY FOCUSED IN CENTRAL TOWER CONCENTRATING SOLAR POWER

2020 ◽  
Vol 10 (4) ◽  
pp. 545-552
Author(s):  
Jhon A. Pabón León ◽  
José O. García Mendoza ◽  
Sofia Orjuela Abril
2021 ◽  
Vol 13 (12) ◽  
pp. 6681
Author(s):  
Simian Pang ◽  
Zixuan Zheng ◽  
Fan Luo ◽  
Xianyong Xiao ◽  
Lanlan Xu

Forecasting of large-scale renewable energy clusters composed of wind power generation, photovoltaic and concentrating solar power (CSP) generation encounters complex uncertainties due to spatial scale dispersion and time scale random fluctuation. In response to this, a short-term forecasting method is proposed to improve the hybrid forecasting accuracy of multiple generation types in the same region. It is formed through training the long short-term memory (LSTM) network using spatial panel data. Historical power data and meteorological data for CSP plant, wind farm and photovoltaic (PV) plant are included in the dataset. Based on the data set, the correlation between these three types of power generation is proved by Pearson coefficient, and the feasibility of improving the forecasting ability through the hybrid renewable energy clusters is analyzed. Moreover, cases study indicates that the uncertainty of renewable energy cluster power tends to weaken due to partial controllability of CSP generation. Compared with the traditional prediction method, the hybrid prediction method has better prediction accuracy in the real case of renewable energy cluster in Northwest China.


2020 ◽  
Vol 143 (1) ◽  
Author(s):  
Prashant Sharan ◽  
Kevin Kitz ◽  
Daniel Wendt ◽  
Joshua McTigue ◽  
Guangdong Zhu

Abstract We propose a hybrid renewable energy system—a geothermal energy storage system (GeoTES) with solar—to provide low-cost dispatchable power at various timescales from daily, to weekly, to seasonally. GeoTES with solar uses a concentrating solar power collector field to produce hot water that is injected into a sedimentary basin to create a synthetic geothermal resource. The stored geothermal heat can then be dispatched when required by the electrical grid. GeoTES is particularly valuable for a grid with a high penetration of non-flexible renewable technologies such as photovoltaic and wind power. In this work, a sophisticated hybrid model is developed to assess the technical and economic potential of GeoTES by combining IPSEpro, which is a power-cycle simulation tool, and SAM, an economic analysis tool by National Renewable Energy Laboratory (NREL). The analysis shows with proper initial charging period that the heat loss in storage is almost negligible and is a suitable technology for long-term energy storage. Various power-cycle options are evaluated, and the most suitable power cycle is selected for further study. Annual calculations of the GeoTES system indicate that a levelized cost of storage (LCOS) of 12.4 ¢/kWhe can be achieved for seasonal storage of 4000 h; this value is much lower than the existing long-term storage. The LCOS of GeoTES is insensitive to the storage duration above 8 h, unlike battery and molten-salt thermal storage systems. This result demonstrates that GeoTES can be a competitive seasonal storage technology in the future electricity market. The levelized cost of electricity of the GeoTES system is also carefully analyzed and can vary between 10.0 and 16.4 ¢/kWhe, depending on solar-collector prices.


2018 ◽  
Vol 33 (6) ◽  
pp. 6630-6641 ◽  
Author(s):  
Ershun Du ◽  
Ning Zhang ◽  
Bri-Mathias Hodge ◽  
Qin Wang ◽  
Chongqing Kang ◽  
...  

2018 ◽  
Vol 222 ◽  
pp. 649-661 ◽  
Author(s):  
Ershun Du ◽  
Ning Zhang ◽  
Bri-Mathias Hodge ◽  
Chongqing Kang ◽  
Benjamin Kroposki ◽  
...  

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