Abstract
In this chapter, the Taguchi method combined with response surface methodology is introduced to energetically optimize various design parameters of the flat plate solar collector. The design parameters of a flat plate collector are the key factors affecting its performance. The effect of the ambient temperature, solar radiation, and wind speed is also included in the design array to achieve a robust configuration. The Taguchi method results showed that the number of collector flow tubes and the back insulation thickness are the most significant factors in the performance characteristics. Since the Taguchi method optimizes only the performance responses individually. Therefore, the data are then preprocessed by the response model approach based on the I-optimal computer design using the coordinate exchange algorithm. The results showed the ability of the proposed method for optimizing the performance of various components of the solar water heating system in particular and renewable energy systems in general.
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Abbreviations
- ANOVA:
-
The analysis of variance
- DOE:
-
Design of experiment
- OA:
-
Orthogonal array
- S/N :
-
The signal-to-noise ratio
- SQP:
-
Sequential quadratic programming
- POE:
-
Propagation of error
- PRESS:
-
The predicted residual error of sum square
- RSM:
-
Response surface methodology
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Abokersh, M.H., Elimam, A.A., El-Morsi, M. (2018). Energetic Optimization of the Flat Plate Solar Collector. In: Nižetić, S., Papadopoulos, A. (eds) The Role of Exergy in Energy and the Environment. Green Energy and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-89845-2_39
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DOI: https://doi.org/10.1007/978-3-319-89845-2_39
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