Zobrazeno 1 - 10
of 625
pro vyhledávání: '"direct normal irradiance"'
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 10, Iss , Pp 100853- (2024)
The escalating energy demand and the adverse environmental impacts of fossil-fuel use necessitate a shift towards cleaner and renewable alternatives. Concentrated Solar Power (CSP) technology emerges as a promising solution, offering a carbon-free al
Externí odkaz:
https://doaj.org/article/eb865a2aae584ee08314ea4e374dd244
Publikováno v:
International Journal of Sustainable Energy, Vol 43, Iss 1 (2024)
A long-term regional solar energy assessment improves decision-making processes for the selection of the best solar energy technology and helps understand how to define focused policies and investments. This study presents long-term solar resource mo
Externí odkaz:
https://doaj.org/article/b1180f2db79e4a8d81b0b63c878ccad2
Publikováno v:
Heliyon, Vol 10, Iss 20, Pp e39247- (2024)
This article proposes a method to improve the efficiency of solar power plants by estimating and forecasting the spatial distribution of direct normal irradiance (DNI) using a sensor network and anemometer data. For this purpose, the proposed approac
Externí odkaz:
https://doaj.org/article/535f7686b12849e4a882209db20c0f7b
Autor:
Johannes Christoph Sattler, Siddharth Dutta, Spiros Alexopoulos, Adnan Kawam, Cristiano Teixeira Boura, Ulf Herrmann, Ioannis Kioutsioukis
Publikováno v:
SolarPACES Conference Proceedings, Vol 2 (2024)
In the research project Smart Solar System (S3), the Solar-Institut Jülich (SIJ) developed forecast tools to predict the direct normal irradiance (DNI) in hourly resolution for the current day. The aim of the daily DNI forecast is to use it as input
Externí odkaz:
https://doaj.org/article/15cb9165127c4a90b47014d225413b27
Publikováno v:
Solar, Vol 4, Iss 2, Pp 269-306 (2024)
This research develops and validates new decomposition models for hourly direct Normal Irradiance (DNI) estimations for Southern African data. Localised models were developed using data collected from the Southern African Universities Radiometric Net
Externí odkaz:
https://doaj.org/article/be48b42efa1b44718c1a95ef07884516
Autor:
Soufyane Naaim, Badr Ouhammou, Mohammed Aggour, Brahim Daouchi, El Mahdi El Mers, Miriam Mihi
Publikováno v:
Energies, Vol 17, Iss 15, p 3685 (2024)
This study investigates the technical and economic feasibility of a 20 MW parabolic trough solar thermal power plant (PTSTPP) located in Kenitra, Morocco, characterized by an annual average direct normal irradiance (DNI) exceeding 5.3 kWh/m2/day. Uti
Externí odkaz:
https://doaj.org/article/2368c30f711b48dd8f3d2c944e9f7270
Publikováno v:
SolarPACES Conference Proceedings, Vol 1 (2024)
The present paper exhibits a hybrid model for intrahour forecasting of direct normal irradiance (DNI). It combines a knowledge-based model, which is used for clear-sky DNI forecasting from DNI measurements, with a machine-learning-based model, that e
Externí odkaz:
https://doaj.org/article/c768a842fdb44069b0e51988e5a5c0e5
Autor:
Johannes Christoph Sattler, Vikrama Atti, Spiros Alexopoulos, Cristiano Teixeira Boura, Ulf Herrmann, Siddharth Dutta, Ioannis Kioutsioukis
Publikováno v:
SolarPACES Conference Proceedings, Vol 1 (2024)
This work presents a basic forecast tool for predicting direct normal irradiance (DNI) in hourly resolution, which the Solar-Institut Jülich (SIJ) is developing within a research project. The DNI forecast data shall be used for a parabolic trough co
Externí odkaz:
https://doaj.org/article/22bc1961431c47d48f49c895f2123efb
Autor:
Youssef Karout, Axel Curcio, Julien Eynard, Stéphane Thil, Sylvain Rodat, Stéphane Abanades, Valéry Vuillerme, Stéphane Grieu
Publikováno v:
Clean Technologies, Vol 5, Iss 1, Pp 329-351 (2023)
The present paper deals with both the modeling and the dynamic control of a solar hybrid thermochemical reactor designed to produce syngas through the high-temperature steam gasification of biomass. First, a model of the reactor based on the thermody
Externí odkaz:
https://doaj.org/article/c9e96d16366c4140a8abe07fbc284f73