EVALUATION AND PREDICTION OF SOLAR RADIATION TRANSMITTED BETWEEN THE HELIOSTAT AND THE RECEIVER OF A TOWER THERMOSOLAR PLANT USING ARTIFICIAL INTELLIGENCE TECHNIQUES (Q3152258): Difference between revisions
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(Created claim: summary (P836): THE PREDICTION OF DIRECT SOLAR IRRADIANCE (DNI) IS A SUBJECT OF RESEARCH OF INCREASING INTEREST IN FIELDS SUCH AS AGRICULTURE OR SOLAR POWER PRODUCTION. THE PRODUCTION OF ELECTRICITY FROM CENTRAL RECEIVER SOLAR POWER PLANTS (CRC), FOR WHICH THE DNI IS A CRITICAL ENTRY, IS EXPERIENCING RAPID GROWTH WORLDWIDE, ASSOCIATED WITH A RAPID INCREASE IN THE POWER GENERATED. THIS TECHNOLOGY WILL BE ONE OF THOSE THAT CONTRIBUTES MOST SIGNIFICANTLY TO THE FU...) |
(Changed label, description and/or aliases in en: translated_label) |
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EVALUATION AND PREDICTION OF SOLAR RADIATION TRANSMITTED BETWEEN THE HELIOSTAT AND THE RECEIVER OF A TOWER THERMOSOLAR PLANT USING ARTIFICIAL INTELLIGENCE TECHNIQUES | |||
Revision as of 15:26, 12 October 2021
Project Q3152258 in Spain
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | EVALUATION AND PREDICTION OF SOLAR RADIATION TRANSMITTED BETWEEN THE HELIOSTAT AND THE RECEIVER OF A TOWER THERMOSOLAR PLANT USING ARTIFICIAL INTELLIGENCE TECHNIQUES |
Project Q3152258 in Spain |
Statements
60,016.0 Euro
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75,020.0 Euro
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80.0 percent
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1 January 2015
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30 June 2018
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UNIVERSIDAD DE HUELVA
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37°13'39.97"N, 6°53'35.63"W
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21055
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LA PREDICCION DE LA IRRADIANCIA SOLAR DIRECTA (DNI) ES UN TEMA DE INVESTIGACION DE CRECIENTE INTERES EN CAMPOS COMO AGRICULTURA O LA PRODUCCION DE POTENCIA SOLAR. LA PRODUCCION DE ELECTRICIDAD A PARTIR DE CENTRALES SOLARES DE RECEPTOR CENTRAL (CRC), PARA LAS QUE LA DNI ES UNA ENTRADA CRITICA, EXPERIMENTA UN CRECIMIENTO VERTIGINOSO A NIVEL MUNDIAL, ASOCIADO A UN RAPIDO INCREMENTO DE LA POTENCIA GENERADA. ESTA TECNOLOGIA SERA UNA DE LAS QUE CONTRIBUYA DE FORMA MAS SIGNIFICATIVA AL FUTURO PUZLE DE ENERGIAS RENOVABLES. EL MAYOR RETO QUE PLANTEAN ESTAS GRANDES INSTALACIONES SOLARES ES SU INTEGRACION EN LAS REDES DE DISTRIBUCION DE ENERGIA. PARA ELLO, EL CONOCIMIENTO DE PREDICCIONES PRECISAS DE LOS NIVELES DE DNI EN EL RECEPTOR ES CRUCIAL, INFLUYENDO NO SOLO EN EL FUNCIONAMIENTO DE LA PLANTA, SINO EN EL PROPIO MERCADO DE PRECIOS. _x000D_ _x000D_ LA NUBOSIDAD ES LA PRINCIPAL FUENTE DE VARIABILIDAD DE LA DNI EN EL CAMPO DE HELIOSTATOS. EN CASO DE QUE LA RADIACION SOLAR NO SEA INTERCEPTADA POR LAS NUBES, LOS AEROSOLES SON EL CONSTITUYENTE ATMOSFERICO QUE MAYOR VARIABILIDAD INTRODUCE EN LA DNI. LAS CRC SUELEN ESTAR EN ZONAS ARIDAS O SEMIARIDAS, CON UN ELEVADO PORCENTAJE DE CIELOS DESPEJADOS Y MAYOR FRECUENCIA DE EPISODIOS DE ELEVADA TURBIEDAD. LA NECESIDAD DE SU PREDICCION RESULTA ASI VITAL. POR OTRA PARTE, LOS AEROSOLES DE LAS CAPAS MAS BAJAS DE LA ATMOSFERA PUEDEN REDUCIR HASTA UN 40% LA POTENCIA SOLAR QUE LLEGA AL RECEPTOR DE UNA CRC REFLEJADA POR LOS HELIOSTATOS. EL CONOCIMIENTO DE LA ATENUACION REAL ES UN CAMPO ACTUALMENTE DESCONOCIDO Y URGENTEMENTE DEMANDADO. LOS CODIGOS DE DISEÑO DE LAS CRC (COMO HLFCAL O SOLTRACE) NO PUEDEN ASI REPRODUCIR TALES EFECTOS. _x000D_ _x000D_ EL OBJETIVO DEL PROYECTO ES EVALUAR Y PREDECIR LA ATENUACION DE LA DNI EN SU CAMINO DESDE LOS HELIOSTATOS HASTA EL RECEPTOR DE UNA CRC. PARA ELLO SE PLANTEA ESTUDIAR UN DISPOSITIVO EXPERIMENTAL SUSCEPTIBLE DE SER UTILIZADO DE FORMA RUTINARIA EN LAS CRC, CAPAZ DE EVALUAR EL PORCENTAJE DE ATENUACION ,Y CAPAZ DE PROPORCIONAR INFORMACION UTIL PARA UNA PREDICCION FIABLE._x000D_ _x000D_ LA INSTRUMENTACION ELEGIDA CONSISTE EN UN VISIBILIMETRO Y UN FOTOMETRO DE RADIACION DIRECTA, AMBOS DE BAJO COSTE Y MANTENIMIENTO, PARA NO CONTRIBUIR CON UN ENCARECIMIENTO AL PRESUPUESTO DE LAS CRC. EL PRIMER DISPOSITIVO MIDE EL RANGO OPTICO METEOROLOGICO (MOR), QUE DA CUENTA DEL COEFICIENTE DE EXTINCION HORIZONTAL DE LA ATMOSFERA. EL FOTOMETRO PERMITE OBTENER EL ESPESOR OPTICO DEL AEROSOL EN COLUMNA VERTICAL. AMBAS MEDIDAS, COMPLEMENTADAS CON MEDIDAS RADIOMETRICAS EN BANDA ANCHA, MEDIDAS METEOROLOGICAS Y DE PROPIEDADES DE CONSTITUYENTES ATMOSFERICOS, SERVIRAN DE BASE PARA LA SIMULACION MEDIANTE CODIGOS DE TRANSFERENCIA RADIATIVA._x000D_ _x000D_ SE DESARROLLARA UN ALGORITMO DE ATENUACION ATMOSFERICA ENTRE EL HELIOSTATO Y EL RECEPTOR, QUE PUEDA SER INTEGRADO EN LOS CODIGOS DE DISEÑO DE LAS CRC PARA OPTIMIZAR LAS PERDIDAS ENERGETICAS EN EL SUBCONJUNTO CAPTADOR. DADO EL ACOPLAMIENTO NO-LINEAL DE LOS PROCESOS Y VARIABLES ATMOSFERICAS QUE ENTRAN EN JUEGO, PARA SU CONSECUCION SE HARA USO DE TECNICAS DE INTELIGENCIA ARTIFICIAL (IA), COMO LAS REDES NEURONALES ARTIFICIALES. LA IA, EN COMPLEMENTO CON LOS MODELOS NUMERICOS DE PREDICCION Y LA ASIMILACION DE DATOS, SE APLICARA TAMBIEN A LA PREDICCION DE LA ATENUACION. _x000D_ _x000D_ SEÑALAR QUE LOS RESULTADOS DEL PRESENTE PROYECTO SERAN UTILES TANTO PARA EL DISEÑO Y OPERACION DE LAS CRC EXISTENTES Y EN CONSTRUCCION, COMO PARA EL RESTO DE LA INSDUSTRIA DE CONCENTRACION SOLAR TERMOELECTRICA Y FOTOVOLTAICA. (Spanish)
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THE PREDICTION OF DIRECT SOLAR IRRADIANCE (DNI) IS A SUBJECT OF RESEARCH OF INCREASING INTEREST IN FIELDS SUCH AS AGRICULTURE OR SOLAR POWER PRODUCTION. THE PRODUCTION OF ELECTRICITY FROM CENTRAL RECEIVER SOLAR POWER PLANTS (CRC), FOR WHICH THE DNI IS A CRITICAL ENTRY, IS EXPERIENCING RAPID GROWTH WORLDWIDE, ASSOCIATED WITH A RAPID INCREASE IN THE POWER GENERATED. THIS TECHNOLOGY WILL BE ONE OF THOSE THAT CONTRIBUTES MOST SIGNIFICANTLY TO THE FUTURE PUZZLE OF RENEWABLE ENERGIES. THE BIGGEST CHALLENGE POSED BY THESE LARGE SOLAR INSTALLATIONS IS THEIR INTEGRATION INTO ENERGY DISTRIBUTION NETWORKS. TO THIS END, KNOWLEDGE OF PRECISE PREDICTIONS OF DNI LEVELS IN THE RECIPIENT IS CRUCIAL, INFLUENCING NOT ONLY THE OPERATION OF THE PLANT, BUT ALSO THE PRICE MARKET ITSELF. _x000D_ _x000D_ cloudiness is the primary source of DNI variability in the heliostat camp. IN CASE THE SOLAR RADIATION IS NOT INTERCEPTED BY CLOUDS, AEROSOLS ARE THE ATMOSPHERIC CONSTITUENT THAT INTRODUCES GREATER VARIABILITY IN THE ID. CRCS ARE USUALLY IN ARIDAS OR SEMI-ARID AREAS, WITH A HIGH PERCENTAGE OF CLEAR SKIES AND A HIGHER FREQUENCY OF EPISODES OF HIGH TURBIDITY. THE NEED FOR THEIR PREDICTION IS SO VITAL. ON THE OTHER HAND, AEROSOLS FROM THE LOWEST LAYERS OF THE ATMOSPHERE CAN REDUCE BY UP TO 40 % THE SOLAR POWER THAT REACHES THE RECEPTOR OF A CRC REFLECTED BY THE HELIOSTATS. THE KNOWLEDGE OF REAL ATTENUATION IS A FIELD CURRENTLY UNKNOWN AND URGENTLY DEMANDED. CRC DESIGN CODES (SUCH AS HLFCAL OR SOLTRACE) CANNOT REPRODUCE SUCH EFFECTS. _x000D_ _x000D_ the PROJECT OBJECTIVE IS EVALUATE AND PREDECTION OF DNI ATTENTION IN YOUR HIMODY OF THE HELIOstats HAS THE RECEPTOR OF A CRC. In order to be able to be used for the use of a durable FORM in CRC, it is possible to evaluate the storage of attenuation, and to provide usable information for a reliable prediction._x000D_ _x000D_ THE ELECTED INSTRUMENTATION CONSISTED IN A Visibilimeter AND A DIRECT RADIATION Photometer, COST AND MAINTENANCE BETWEEN, TO NOT counteract with an increase in the budget of CRCs. THE FIRST DEVICE MEASURES THE METEOROLOGICAL OPTIC RANGE (MOR), WHICH ACCOUNTS FOR THE HORIZONTAL EXTINCTION COEFFICIENT OF THE ATMOSPHERE. THE PHOTOMETER ALLOWS TO OBTAIN THE OPTICAL THICKNESS OF THE AEROSOL IN VERTICAL COLUMN. Both measures, supplemented by radiometric measures in ANCHA, meteorological measures and ATMOSFERIC CONSTITUENT PROPERTYS, shall be used as a basis for the MEDIANING CODITION of RADIATIVE TRANSFERENCE._x000D_ _x000D_ A ATMOSpheric ATMOSFER ATTENTION ALGORITM will be developed between heliostat and the receiver, who can be integrated into CRC’s design codes to promote energy losses in the capturing sub-conjunct. GIVEN THE NON-LINEAR COUPLING OF THE ATMOSPHERIC PROCESSES AND VARIABLES THAT COME INTO PLAY, ARTIFICIAL INTELLIGENCE (AI) TECHNIQUES, SUCH AS ARTIFICIAL NEURAL NETWORKS, WILL BE USED FOR THEIR CONSECUTION. AI, IN ADDITION TO NUMERIC MODELS OF PREDICTION AND ASSIMILATION OF DATA, WILL ALSO BE APPLIED TO THE PREDICTION OF ATTENUATION. _x000D_ _x000D_ point out that the results of the present project would be useful for the development and operation of existing CRCs and in construction, as for the outcome of the SOLAR TERMOELECTRICAL AND PHOTOVOLTAIC CONCENTRATION INSDUSTRY. (English)
12 October 2021
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Palos de la Frontera
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Identifiers
ENE2014-59454-C3-2-R
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