A Procedure for the Producibility Curve Identification of a Dish-Stirling Plant, Starting from Experimental Data

Giuseppina Ciulla, Giovanni Cipriani, Vincenzo Di Dio, Bongiorno, Chiaruzzi, Larson

Risultato della ricerca: Conference contribution

Abstract

This article presents a procedure for the producibility curve identification of a dish-Stirling plant, starting from experimental data. The producibility data was measured, recorded, analysed, filtered and monthly aggregated. Moreover, the incidence of the ambient temperature and of the mirrors cleaning on producibility data is highlighted and a procedure to normalize the measured data in temperature and cleaning level was developed. To provide a validation of the developed procedure the producibility curves at 25 °C have been obtained and compared with the one issued by the manufacturer. The two curves are in good agreement, presenting a maximum deviation of the 7 %.
Lingua originaleEnglish
Titolo della pubblicazione ospite19th IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019
Numero di pagine6
Stato di pubblicazionePublished - 2019

Fingerprint

Cleaning
Experimental Data
Curve
Normalize
Temperature
Incidence
Mirror
Deviation

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering
  • Environmental Engineering
  • Control and Optimization

Cita questo

Ciulla, G., Cipriani, G., Di Dio, V., Bongiorno, Chiaruzzi, & Larson (2019). A Procedure for the Producibility Curve Identification of a Dish-Stirling Plant, Starting from Experimental Data. In 19th IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019

A Procedure for the Producibility Curve Identification of a Dish-Stirling Plant, Starting from Experimental Data. / Ciulla, Giuseppina; Cipriani, Giovanni; Di Dio, Vincenzo; Bongiorno; Chiaruzzi; Larson.

19th IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019. 2019.

Risultato della ricerca: Conference contribution

Ciulla, G, Cipriani, G, Di Dio, V, Bongiorno, Chiaruzzi & Larson 2019, A Procedure for the Producibility Curve Identification of a Dish-Stirling Plant, Starting from Experimental Data. in 19th IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019.
Ciulla G, Cipriani G, Di Dio V, Bongiorno, Chiaruzzi, Larson. A Procedure for the Producibility Curve Identification of a Dish-Stirling Plant, Starting from Experimental Data. In 19th IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019. 2019
Ciulla, Giuseppina ; Cipriani, Giovanni ; Di Dio, Vincenzo ; Bongiorno ; Chiaruzzi ; Larson. / A Procedure for the Producibility Curve Identification of a Dish-Stirling Plant, Starting from Experimental Data. 19th IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019. 2019.
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abstract = "This article presents a procedure for the producibility curve identification of a dish-Stirling plant, starting from experimental data. The producibility data was measured, recorded, analysed, filtered and monthly aggregated. Moreover, the incidence of the ambient temperature and of the mirrors cleaning on producibility data is highlighted and a procedure to normalize the measured data in temperature and cleaning level was developed. To provide a validation of the developed procedure the producibility curves at 25 °C have been obtained and compared with the one issued by the manufacturer. The two curves are in good agreement, presenting a maximum deviation of the 7 {\%}.",
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AU - Chiaruzzi, null

AU - Larson, null

PY - 2019

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N2 - This article presents a procedure for the producibility curve identification of a dish-Stirling plant, starting from experimental data. The producibility data was measured, recorded, analysed, filtered and monthly aggregated. Moreover, the incidence of the ambient temperature and of the mirrors cleaning on producibility data is highlighted and a procedure to normalize the measured data in temperature and cleaning level was developed. To provide a validation of the developed procedure the producibility curves at 25 °C have been obtained and compared with the one issued by the manufacturer. The two curves are in good agreement, presenting a maximum deviation of the 7 %.

AB - This article presents a procedure for the producibility curve identification of a dish-Stirling plant, starting from experimental data. The producibility data was measured, recorded, analysed, filtered and monthly aggregated. Moreover, the incidence of the ambient temperature and of the mirrors cleaning on producibility data is highlighted and a procedure to normalize the measured data in temperature and cleaning level was developed. To provide a validation of the developed procedure the producibility curves at 25 °C have been obtained and compared with the one issued by the manufacturer. The two curves are in good agreement, presenting a maximum deviation of the 7 %.

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M3 - Conference contribution

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BT - 19th IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019

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