Image from Google Jackets

Tracker accuracy: field experience, analysis, and correlation with meteorological conditions

Tipo de material: TextoTextoSeries ; 2009 34th IEEE Photovoltaic Specialists Conference (PVSC), 2009Trabajos contenidos:
  • Stafford, B
  • Davis, M
  • Chambers, J
  • Martínez, M
  • Sanchez, D
Tema(s): Recursos en línea: Resumen: racker performance is a significant factor in the energy production of PV systems, especially concentrating photo-voltaic (CPV)systems. The nonlinear relationship between CPV optic pointing accuracy and energy production means that simple metrics such as mean pointing accuracy are not sufficient for predicting performance of these systems. Additionally, trackers are currently a significant component of system cost. Understanding the real causes of tracking errors in the field (as well as which types of errors have a less significant impact on energy production)is an important step towards the development of lower-cost tracking systems. In this paper we present a collection of real-world data, including tracking error and corresponding meteorological data, gathered over a period of months from commercial solar trackers installed at Instituto de Sistemas Fotovoltaicos de Concentracion S.A. (ISFOC)in Puertollano, Spain. We present several relevant mathematical tools for analyzing this data, and draw conclusions about the implications of tracking errors for system energy production.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Collection Call number Status Date due Barcode
Documentos solicitados Documentos solicitados CICY Documento préstamo interbibliotecario Ref1 B-17079 (Browse shelf(Opens below)) Available

racker performance is a significant factor in the energy production of PV systems, especially concentrating photo-voltaic (CPV)systems. The nonlinear relationship between CPV optic pointing accuracy and energy production means that simple metrics such as mean pointing accuracy are not sufficient for predicting performance of these systems. Additionally, trackers are currently a significant component of system cost. Understanding the real causes of tracking errors in the field (as well as which types of errors have a less significant impact on energy production)is an important step towards the development of lower-cost tracking systems. In this paper we present a collection of real-world data, including tracking error and corresponding meteorological data, gathered over a period of months from commercial solar trackers installed at Instituto de Sistemas Fotovoltaicos de Concentracion S.A. (ISFOC)in Puertollano, Spain. We present several relevant mathematical tools for analyzing this data, and draw conclusions about the implications of tracking errors for system energy production.

There are no comments on this title.

to post a comment.