Showing 61 - 80 results of 165 for search 'Tom Betts' Refine Results
  1. 61
    Irradiance modelling for individual cells of shaded solar photovoltaic arrays
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  2. 62
    PV module degradation mechanisms under different environmental stress factors
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  3. 63
    Review of uncertainty sources in indoor PV calibration of c-SI, and thin film single junction and multi junction cells and modules
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  4. 64
    Uncertainty considerations of indoor PV module calibration based on Monte Carlo simulations
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  5. 65
    Long term degradation of photovoltaic devices under real outdoor operating conditions
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  6. 66
    Investigating the degradation of front and rear sides of c-Si PV cells exposed to acetic acid
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  7. 67
    Accessing the performance of individual cells of fully encapsulated PV modules using a commercial digital light processing projector
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  8. 68
    Evaluation of uncertainty sources and propagation from irradiance sensors to PV energy production
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  9. 69
    Effect of I-V translations of irradiance-temperature on the energy yield prediction of PV module and spectral changes over irradiance and temperature
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  10. 70
    Effect of module degradation on inverter sizing
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  11. 71
    Performance of an amorphous silicon mini module in the initial, light-induced degraded and annealed states
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  12. 72
    Long-term performance of amorphous photovoltaic modules
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  13. 73
    Indoor measurement of GTE-matrix for energy rating
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  14. 74
    Towards a higher power, all LED solar simulator closely matching realistic solar spectra
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  15. 75
    Outlier identification in outdoor measurement data: effects of different strategies on the performance descriptors of photovoltaic modules
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  16. 76
    Spectral influences on estimations of useful irradiance for different PV technologies
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  17. 77
    Spectral irradiance measurements for photovoltaic systems in maritime climates
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  18. 78
    Validation of spectral response polychromatic method measurement of full size photovoltaic modules using outdoor measured data
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  19. 79
    Assessment of potential for photovoltaic roof installations by extraction of roof tilt from LiDAR data and aggregation to census geography
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  20. 80
    A fast and effective approach to modelling solar energy potential in complex environments
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