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CHAPTER 5: Mean-line Modelling and Optimization of Organic RIT and Integration with Cycle Analysis Programme Where kvolute is the volute total pressure loss coefficient with the value of 0.1 as suggested in (Baines 2003). The volute area and mean radius distribution was obtained using (Aungier 2006): 𝐴(𝜃) = 𝑆𝑃(𝜃𝑟 (𝜃)𝑏 cot 𝛼 ) Equation 5-28 𝑚𝑒𝑎𝑛 2 2 𝑆𝑃 = 𝜌2 Equation 5-29 𝜌1 Where rmean is the mean passage radius at various polar angles (θ) and it is equal to r1 at the volute inlet (θ =0) corresponding to A1. For other stations the same iterative technique was used to specify A(θ) and rmean(θ) at various θ. Sizing parameter (SP) expresses the ratio of the actual volute area to the value satisfying the ideal conservation of angular momentum (Aungier 2006). 5.4.5. Performance estimation with losses The same loss models described in section 3.5.4 were employed for performance prediction of the organic RIT using Equation 3-34 with the only difference that the term ∑ 𝛥h𝑙𝑜𝑠𝑠𝑒𝑠 also includes the loss associated with the volute (Equation 5-27). 5.5. Integration of ORC model with organic RIT model The approach presented in the literature relies on achieving a feasible turbine design that is able to deliver the specified efficiency as well as satisfying the application requirements for various working fluids and for wide range of operating conditions. However, such method does not consider feasibility of turbine design or any other factors that influence that nor the performance or suitability of the turbine for a given application. This is a rather simplistic approach as it may lead to non-optimal or inaccurate results such as leading to operating conditions that require unrealistic turbine design or even designs that do not fit the application constraints. Also, such approach could lead to the choice of optimum working fluid that is not optimum if turbine efficiency was calculated 169 | P a g ePDF Image | SMALL-SCALE RADIAL INFLOW TURBINE FOR WHR ORC
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