scholarly journals A Workflow for Parameter Calibration and and Model Validation in SST: Interim Report.

2014 ◽  
Author(s):  
Philippe Pierre Pebay ◽  
Jeremiah J Wilke ◽  
Khachik Sargsyan
Keyword(s):  
Model Validation ◽  
Interim Report ◽  
Parameter Calibration

scholarly journals Land Potential Assessment of Napier Grass Plantation for Power Generation in Thailand Using SWAT Model. Model Validation and Parameter Calibration

Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1326
Author(s):  
Kotchakarn Nantasaksiri ◽  
Patcharawat Charoen-Amornkitt ◽  
Takashi Machimura
Keyword(s):  
Power Generation ◽  
Model Validation ◽  
Growth Parameters ◽  
Swat Model ◽  
Energy Resource ◽  
Crop Growth ◽  
Napier Grass ◽  
Sensitivity Index ◽  
Parameter Calibration ◽  
The Impact

In Thailand, Napier grass is expected to play an important role as an energy resource for future power generation. To accomplish this goal, numerous areas are required for Napier grass plantations. Before introducing crops, the land potential of the country and the impact of crops on the environment should be assessed. The soil and water assessment tool (SWAT) model is very useful in investigating crop impacts and land potential. Unfortunately, the crop growth parameters of Napier grass are yet to be identified and, thus, conducting effective analysis has not been possible. Accordingly, in this study, parameter calibration and SWAT model validation of Napier grass production in Thailand was carried out using datasets from eight sites with 93 samples. Parameter sensitivity analysis was performed prior to parameter calibration, the results of which suggest that the radiation use efficiency and potential harvested index are both highly sensitive. The crop growth parameters were calibrated in order of their sensitivity index ranking, and the final values were obtained by reducing the root mean square error from 10.77 to 1.38 t·ha−1. The validation provides satisfactory results with coefficient of determination of 0.951 and a mean error of 0.321 t·ha−1. Using the developed model and calibrated parameters, local Napier grass dry matter yield can be evaluated accurately. The results reveal that, if only abandoned area in Thailand is used, then Napier grass can provide roughly 33,600–44,900 GWh of annual electricity, and power plant carbon dioxide (CO2) emissions can be reduced by approximately 21.2–28.3 Mt-CO2. The spatial distribution of estimated yield obtained in this work can be further utilized for land suitability analysis to help identify locations for Napier grass plantations, anaerobic digesters, and biogas power plants.

scholarly journals Preliminary results from the EPRI Plume Model Validation Project: plains site. Interim report

1981 ◽  
Author(s):  
N. E. Bowne ◽  
R. J. Londergan ◽  
D. H. Minott ◽  
D. R. Murray
Keyword(s):  
Model Validation ◽  
Interim Report ◽  
Preliminary Results ◽  
Plume Model

Remarks on Parameter Calibration and Model Validation Based on Sensitivity

2016 ◽  
Author(s):  
Na Qiu ◽  
Nam Ho Kim ◽  
Yunkai Gao
Keyword(s):  
Model Validation ◽  
Cantilever Beam ◽  
Prediction Models ◽  
Calibration Method ◽  
Beam Model ◽  
Parameter Calibration ◽  
Numerical Examples ◽  
Discrepancy Function ◽  
Calibration Methods ◽  
Methods Numerical

In this paper, different approaches to parameter calibration and model validation were compared to understand the accuracy and robustness, especially when only a small number of data are available. Conventional one-point calibration, two-point calibration, sensitivity-based calibration, discrepancy-based calibration methods are compared when the number of data is less than three. An analytical example as well as a cantilever beam model are used to demonstrate the performance and accuracy of different methods. Numerical examples indicate that the conventional calibration method that does not account for the discrepancy function may lead to biased parameter and prediction models. It also can be seen that accurate parameter can be identified only when the form of discrepancy function is accurate.

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