Infrastructure Engineering - Research Publications

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End date: 2022 × Type: Dataset × Author: Aye, Lu × Start date: 2021 ×

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    Dataset on effects of learning curve models on onshore wind and solar PV cost developments in the USA (Version 2)
    Castrejon Campos, O ; Aye, L ; Hui, KP ( 2022-02-21)
    This dataset includes input data to estimate learning-by-deploying (LbD) and learning-by-researching (LbR) rates for onshore wind and solar PV in the United States of America (USA). Using different learning curve approaches the simulated technological-based cost developments are also presented. Coefficient of determination (R squared) and Root Mean Square Error (RMSE) were applied for quantification of the agreement between simulated and observed technological-based costs.
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    Dataset on effects of learning curve models on onshore wind and solar PV cost developments in the USA
    Castrejon Campos, O ; Aye, L ; Hui, K ( 2021-11-03)
    This dataset includes input data to estimate learning-by-deploying (LbD) and learning-by-researching (LbR) rates for onshore wind and solar PV in the United States of America (USA). Using different learning curve approaches the simulated technological-based cost developments are also presented. Coefficient of determination (R squared) and Root Mean Square Error (RMSE) were applied for quantification of the agreement between simulated and observed technological-based costs.
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    Dataset on validation of double U-tube borehole and seasonal solar thermal energy storage system TRNSYS models
    Shah, SK ; Aye, L ; Rismanchi, B ( 2021-08-09)
    This dataset includes data from the validation of double U-tube borehole and seasonal solar thermal energy storage system TRNSYS models. The simulated transient temperatures at various points of the systems were compared with the measured ones. To quantify the agreement between each simulated and measured temperature of interest, mean bias error (MBE), root mean square error (RMSE) and correlation coefficient (CC) were applied.
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    Dataset on effects of learning curve models on clean energy technology cost developments
    Castrejón Campos, O ; Aye, L ; Hui, KF ( 2021-01-21)
    This dataset includes input data to estimate learning-by-doing (LbD) and learning-by-researching (LbR) rates for onshore wind and solar PV in the United States. Using different learning curve approaches the simulated technology cost developments are also presented. Coefficient of determination (R square) and Root Mean Square Error (RMSE) were applied for quantification of the agreement between simulated and observed technology costs.