THE INFLUENCE OF WORKING FLUID CHARECTERISTIC PARAMETERS ON TURBINE PERFORMANCE FOR THE SMALL SCALE ORC SYSTEM

Similar documents
Optimization of the blade trailing edge geometric parameters for a small scale ORC turbine

Journal of Mechatronics, Electrical Power, and Vehicular Technology

Heat-storage ORC System of Vehicle ICE Exhaust Heat Recovery with the Capacity of Reducing Heat Fluctuation

Introduction to Turbomachinery

Small Scale Axial Turbine Preliminary Design and Modelling

Journal of Physics: Conference Series. Related content PAPER OPEN ACCESS. To cite this article: M White et al 2017 J. Phys.: Conf. Ser.

Please welcome for any correction or misprint in the entire manuscript and your valuable suggestions kindly mail us

Design of Multistage Turbine

Lect-36. In this lecture... Tutorial on radial flow turbines. Prof. Bhaskar Roy, Prof. A M Pradeep, Department of Aerospace, IIT Bombay

THE METHOD OF THE WORKING FLUID SELECTION FOR ORGANIC RANKINE CYCLE (ORC) SYSTEM WITH VOLUMETRIC EXPANDER. * Corresponding Author ABSTRACT

Contents. 1 Introduction to Gas-Turbine Engines Overview of Turbomachinery Nomenclature...9

LOSS GENERATION IN RADIAL OUTFLOW STEAM TURBINE CASCADES

Simple, stable and reliable modeling of gas properties of organic working fluids in aerodynamic designs of turbomachinery for ORC and VCC

THERMAL ANALYSIS OF SECOND STAGE GAS TURBINE ROTOR BLADE

Helsinki University of Technology Laboratory of Applied Thermodynamics/CFD-Group. MEMO No CFD/TERMO DATE: November 21, 1997

COMPUTATIONAL METHOD

International Journal of Research in Advent Technology Available Online at:

Axial Flow and Radial Flow Gas Turbines

Turbine Blade Design of a Micro Gas Turbine

Aerodynamic Design and Performance Assessment of a Centripetal-Flow Fan

THE EXPERIENCE OF HIGH PRESSURE RATIO SINGLE STAGE HPT DESIGNING

Aerodynamic loading acting on the stator vane in the variable nozzle turbine flow

Lecture 35: Vapor power systems, Rankine cycle

Analysis of Temperature Distribution Using Conjugate Heat Transfer in a HPT Stage via CFD

Introduction to Chemical Engineering Thermodynamics. Chapter 7. KFUPM Housam Binous CHE 303

Improved Model for Meanline Analysis of Centrifugal Compressors with a Large Tip Clearance

A NEW METHOD FOR PREDICITING THE PERFORAMNCE MAP OF A SINGLE STAGE OF A CENTRIFUGAL COMPRESSOR

SECOND ENGINEER REG. III/2 APPLIED HEAT

An introduction to thermodynamics applied to Organic Rankine Cycles

Keywords - Gas Turbine, Exhaust Diffuser, Annular Diffuser, CFD, Numerical Simulations.

Design, Modelling, and Control of a Waste Heat Recovery Unit for Heavy-Duty Truck Engines

LARGE EDDY SIMULATION OF FLOW OVER NOZZLE GUIDE VANE OF A TRANSONIC HIGH PRESSURE TURBINE

Akshay Khadse, Lauren Blanchette, Mahmood Mohagheghi, Jayanta Kapat

Basic Thermodynamics Prof. S.K Som Department of Mechanical Engineering Indian Institute of Technology, Kharagpur

Lect 22. Radial Flow Turbines. Prof. Bhaskar Roy, Prof. A M Pradeep, Department of Aerospace, IIT Bombay

BME-A PREVIOUS YEAR QUESTIONS

CHAPTER 7 ENTROPY. Copyright Hany A. Al-Ansary and S. I. Abdel-Khalik (2014) 1

CHAPTER 4 OPTIMIZATION OF COEFFICIENT OF LIFT, DRAG AND POWER - AN ITERATIVE APPROACH

Lecture 44: Review Thermodynamics I

IMPLEMENTATION OF ONE-DIMENSIONAL CENTRIFUGAL COMPRESSOR DESIGN CODE

Fluid-dynamic design and characterization of a mini-orc turbine for laboratory experiments

Course: MECH-341 Thermodynamics II Semester: Fall 2006

GPPS NUMERICAL PREDICTION OF UNSTEADY ENDWALL FLOW AND HEAT TRANSFER WITH ONCOMING WAKE

NUMERICAL SIMULATION OF STATIC INFLOW DISTORTION ON AN AXIAL FLOW FAN

CDF CALCULATION OF RADIAL FAN STAGE WITH VARIABLE LENGTH OF SEMI BLADES SVOČ FST 2012

Contents. Preface... xvii

Fluid structure interaction dynamic analysis of a mixed-flow waterjet pump

R13. II B. Tech I Semester Regular Examinations, Jan THERMODYNAMICS (Com. to ME, AE, AME) PART- A

Prof. Dr.-Ing. F.-K. Benra. ISE batchelor course

CHAPTER 5 MASS AND ENERGY ANALYSIS OF CONTROL VOLUMES

A Numerical Estimate of Flexible Short-Tube Flow and Deformation with R-134a and R-410a

Pulsating Flow Analysis in a Small Turbocharger Turbine

City, University of London Institutional Repository

Analysis of flow characteristics of a cam rotor pump

Jet Aircraft Propulsion Prof. Bhaskar Roy Prof. A.M. Pradeep Department of Aerospace Engineering

Increase Productivity Using CFD Analysis

MECA-H-402: Turbomachinery course Axial compressors

International ejournals

Unit Workbook 2 - Level 5 ENG U64 Thermofluids 2018 UniCourse Ltd. All Rights Reserved. Sample

EFFECT OF FORCED ROTATING VANELESS DIFFUSERS ON CENTRIFUGAL COMPRESSOR STAGE PERFORMANCE

Numerical calculation for cavitation flow of inducer

GTINDIA CFD ANALYSIS TO UNDERSTAND THE FLOW BEHAVIOUR OF A SINGLE STAGE TRANSONIC AXIAL FLOW COMPRESSOR. 1 Copyright 2013 by ASME

ENERGY TRANSFER BETWEEN FLUID AND ROTOR. Dr. Ir. Harinaldi, M.Eng Mechanical Engineering Department Faculty of Engineering University of Indonesia

1D AND 3D TOOLS TO DESIGN SUPERCRITICAL CO 2 RADIAL COMPRESSORS: A COMPARISON

Numerical Analysis of Partial Admission in Axial Turbines. Narmin Baagherzadeh Hushmandi

COURSE NUMBER: ME 321 Fluid Mechanics I 3 credit hour. Basic Equations in fluid Dynamics

IX. COMPRESSIBLE FLOW. ρ = P

Lecture 38: Vapor-compression refrigeration systems

FLOW PATTERN STUDY OF A CENTRIFUGAL PUMP USING CFD METHODS CONCENTRATING ON VOLUTE TONGUE ROLE

Turbomachinery & Turbulence. Lecture 2: One dimensional thermodynamics.

FEDSM99 S-291 AXIAL ROTOR OSCILLATIONS IN CRYOGENIC FLUID MACHINERY

Radial Compressors. Damian Vogt Course MJ2429. Nomenclature

ME 354 THERMODYNAMICS 2 MIDTERM EXAMINATION. Instructor: R. Culham. Name: Student ID Number: Instructions

Prof. Dr.-Ing. F.-K. Benra. ISE Bachelor Course

ME 2322 Thermodynamics I PRE-LECTURE Lesson 23 Complete the items below Name:

Aerodynamics of Centrifugal Turbine Cascades

CHAPTER 7 NUMERICAL MODELLING OF A SPIRAL HEAT EXCHANGER USING CFD TECHNIQUE

Parallel Computations of Unsteady Three-Dimensional Flows in a High Pressure Turbine

Fuel Cell System Model: Auxiliary Components

NUMERICAL SIMULATION OF THE UNSTEADY AERODYNAMICS IN AN AXIAL COUNTER-ROTATING FAN STAGE

SPC 407 Sheet 5 - Solution Compressible Flow Rayleigh Flow

Basic Thermodynamics Prof. S K Som Department of Mechanical Engineering Indian Institute of Technology, Kharagpur. Lecture - 21 Vapors Power Cycle-II

Introduction to Fluid Machines and Compressible Flow Prof. S. K. Som Department of Mechanical Engineering Indian Institute of Technology, Kharagpur

GT NUMERICAL COMPUTATION OF THE JET IMPINGEMENT COOLING OF HIGH PRESSURE RATIO COMPRESSORS

Jet Aircraft Propulsion Prof. Bhaskar Roy Prof. A.M. Pradeep Department of Aerospace Engineering Indian Institute of Technology, Bombay

The exergy of asystemis the maximum useful work possible during a process that brings the system into equilibrium with aheat reservoir. (4.

Turbomachinery. Hasan Ozcan Assistant Professor. Mechanical Engineering Department Faculty of Engineering Karabuk University

Influence of Molecular Complexity on Nozzle Design for an Organic Vapor Wind Tunnel

Modeling and Validation of the SR-30 Turbojet Engine

UNIFIED ENGINEERING Fall 2003 Ian A. Waitz

Feasibility Study of Replacing Steam Ejector with Liquid Ring Vacuum Pump (LRVP) in 210 MW Plant of Vijayawada Thermal Power Station (V.T.P.

3. Write a detailed note on the following thrust vector control methods:

3 Energy Exchange in Turbomachines

Introduction. thermal match of the fluid with the source and sink streams (Angelino, Colonna, & Paliano, 1998).

THERMODYNAMICS, FLUID AND PLANT PROCESSES. The tutorials are drawn from other subjects so the solutions are identified by the appropriate tutorial.

1. Basic state values of matter

A PARAMETRIC DESIGN OF COMPACT EXHAUST MANIFOLD JUNCTION IN HEAVY DUTY DIESEL ENGINE USING COMPUTATIONAL FLUID DYNAMICS CODES

+ m B1 = 1. u A1. u B1. - m B1 = V A. /v A = , u B1 + V B. = 5.5 kg => = V tot. Table B.1.

University of Maiduguri Faculty of Engineering Seminar Series Volume 6, december Seminar Series Volume 6, 2015 Page 58

Transcription:

Proceedings of the ASME 203 Fluids Engineering Division Summer Meeting FEDSM203 July 7-, 203, Incline Village, Nevada, USA FEDSM203-6348 THE INFLUENCE OF WORKING FLUID CHARECTERISTIC PARAMETERS ON TURBINE PERFORMANCE FOR THE SMALL SCALE ORC SYSTEM Lei ZHANG, Weilin ZHUGE, Xinqian ZHENG, Yangjun ZHANG State Key Laboratory of Automotive Safety and Energy Tsinghua University, Beijing, 00084, China zlei@mails.tsinghua.edu.cn ABSTRACT The small scale Organic Rankine Cycle (ORC) using a turbine as expanders is considered as one of the most efficient ways to convert the waste heat energies of automobile engine into electrical energy, in the power range from several kw up to dozens of kw. In general, two important factors must be taken into account when designing the ORC turbine: the real gas effects of the organic fluid and the high expansion ratio presented in the machinery due to thermodynamic and efficiency factors. The characteristic parameters of R245fa have great difference compared with air. When designing an ORC turbine, the initial problem is the influence of the working fluid characteristic parameters on the turbine performance. Similarity analysis method is used to analyze this problem. When using the similarity theory to design two similar operating conditions, gas constant R and dynamic viscosity μ are easy to be taken into account as they have a dimension; specific heat ratio κ is hard to be taken into consideration. In this paper, a high expansion ratio ORC turbine is generated for a small scale ORC system working with the organic fluid R245fa, and the influence of κ on the turbine performance parameters analyzed. Firstly, the turbine geometry is designed in an iterative process using the commercial design tool Concepts-NREC Rital program, and the designed operating condition is determined. Secondly, the similarity criterion numbers are deduced with no consideration of the specific heat ratio κ, and the similar operating condition is calculated by the deduced similarity criterion numbers. The results achieved by the onedimensional design software Rital shows that the deviation of similarity criterion numbers is small, which indicates that the two operating conditions are similar. Then, to verify the conclusion above, the flow field simulation using one channel model is conducted based on the R245fa operating condition and air operating condition using the computational fluid dynamics (CFD) code NUMECA-FineTurbo. However, deviations of the similarity criterion numbers from the CFD results are more than twice to those from the one-dimensional results. The larger deviation may indicate that the influence of the specific heat ratio κ cannot be ignored. After that, the distributions of the total pressure, total temperature, the relative Ma number and entropy in the nozzle and rotor channel are compared. These results show that except the total temperature the distributions of the other three parameters are very similar. The similar distribution may indicate that the specific heat ratio κ has little influence on the efficiency and expansion ratio, but κ has greater influence on the temperature and output power. All of these conclusions are made according to the simulation results, the accuracy should be verified through the test results. NOMENCLATURE T c working fluid critical temperature K p c working fluid critical pressure kpa T temperature K p pressure kpa ɛ expansion ratio ƞ efficiency G m mass flow rate kg/s N rotational speed rpm n s specific speed ʋ speed ratio R gas constant J/(kg K) μ dynamic viscosity Pa s κ specific heat ratio ψ flow coefficient ϕ loading coefficient C absolute speed m/s U rotational speed m/s γ rotor radius ratio D geometry parameter m P output power kw C p specific heat at constant pressure J/(kg K) Subscripts total parameter turbine inlet parameter Corresponding author. E-mail: yjzhang@tsinghua.edu.cn Copyright 203 by ASME

2 turbine outlet parameter ts total-static θ tangential direction m normal direction 4 rotor inlet 6 rotor outlet INTRODUCTION In recent years the automobile industry has made great progress in improving the engine efficiency. Current produced gasoline engines are working with top efficiency of 30%-36%, while diesel engines already achieve about 40%-47% []. Nevertheless, today s engine efficiency is already reaching its technical limit and will not be sufficient to meet future fuel economy targets without additional measures. In the internalcombustion engine, more than half of the fuel energy is lost in the form of heat. For example, modern diesel engine can achieve a maximum efficiency of approximate 45%, and at least 55% of the energy from the fuel is released via exhaust gas and engine coolant. Hence, waste heat recovery (WHR) is considered as the most useful method to improve the engine efficiency. Several technologies can be used to recover energy from the waste heat of a combustion engine in order to generate electricity. In general, the technologies consist of turbomachines, thermo-chemical reaction, thermo-acoustic effect, thermo-electric effect, Sterling and Rankine cycles [2]. When comparing these technologies for automobile applications, two key factors should be kept under consideration. One is the utilization of the waste heat temperature range, the other is the efficiency improvement of the engine. Of all the technologies, the organic rankine cycle (ORC) can meet both of the demands above. The ORC can utilize the low temperature source such as the coolant heat in the automobile, and what s more, the engine efficiency improved by the utilization of the ORC can reach approximate 5% on average, with top improvements up to 8% in the gasoline engine []. Hence, the ORC is considered as the most appropriate way of all the methods in the current conditions. Figure shows typical components in a practical ORC system. In Fig., the pressurized working fluid is heated in the preheater, the evaporator, and the superheater to the superheated state from the subcooled liquid state by the waste heat, then the superheated vapor enters the turbine where it expands to the condensation pressure, during which mechanical work is transmitted to the application device through the shaft of the turbine; the exhaust vapor out of the turbine is cooled in the condenser and becomes the saturated or subcooled liquid, then the condensate is pressurized by a pump, which completes the thermodynamic cycle.[3] In automobile applications, since the temperatures of waste heat and coolant heat from internal-combustion engines are of low or moderate level, the best efficiency and maximum power output are usually obtained by using an organic fluid instead of water as the working fluid. This is because a properly-selected organic fluid can minimize the temperature difference between the waste heat and the working fluid. The higher the temperature of the working-fluid before the turbine, the higher the efficiency of the WHR system, and thus, the more useful work the WHR system can produce [3]. Fig. the components of the Rankine cycle system[3] Working fluids usually used for ORC applications may be classified into three types according to the slope of the saturated vapor line in the temperature-entropy (T-s) diagram: wet, dry and isentropic fluids. Corresponding ORC for these three types of working fluids are illustrated in Fig.2, where CP is the critical point, L and V indicate liquid and vapor phases. In general, inorganic fluids (such as water, ammonia, CO2, etc.) are wet fluids. Most organic fluids are either dry fluids or isentropic fluids, except for some small-molecule fluids such as methane and ethane. Benzene, R3 and R245fa are examples of dry fluids, which have a positive slope for the saturated vapor line if the state is not very close to CP. For this type of fluids, the expansion process ends in the superheated vapor (dry) region. R, R2 and R34a are examples of isentropic fluids, for which the saturated vapor line is almost vertical in the T-s diagram in most of the temperature range, and thus in an isentropic expansion process, the working fluid basically remains as the saturated vapor. Fig.2 Fluid types:(a)wet fluid;(b)dry fluid;(c)isentropic fluid. R245fa is commonly adopted as the ORC working fluid, considering the operation conditions of the cycle and its environmentally friendly characteristics [4-6]. When a turbine for ORC system is designed, two important facts must be considered: the real gas effects of the organic fluid and the high 2 Copyright 203 by ASME

expansion ratio presented in the machinery due to thermodynamic and efficiency factors [5-0]. When describing a working fluid, the essential parameters are the gas constant R, the dynamic viscosity μ and the specific heat ratio κ. The characteristic parameters of R245fa have great difference compared with air. When designing an ORC turbine, the initial problem is the influence of the working fluid characteristic parameters on the turbine performance. Similarity analysis method is used to analyze this problem. When using the similarity theory to design two similar operating conditions, gas constant R and dynamic viscosity μ are easy to be taken into account as they have a dimension; specific heat ratio κ is hard to be taken into consideration. In this paper, an ORC turbine is generated for a small scale ORC system working with the organic fluid R245fa, and the influence of κ on the turbine performance parameters is analyzed. Firstly, the turbine geometry is designed in an iterative process using the commercial design tool Concepts- NREC Rital program. Then, the similarity criterion numbers are deduced with no consideration of κ, and the similar operating condition is calculated by the deduced similarity criterion numbers. Finally, the flow field simulation was conducted based on the R245fa and air operating conditions and the performance parameters of the two operating conditions are compared to find out the influence of κ on these parameters. TURBINE DESIGN PROCEDURE The preliminary design of a turbine can be completed by the following several steps of parameters inputting and calculations: fluid properties selected operating conditions input design parameters defined nozzle and rotor preliminary geometry parameters calculation Firstly, the working fluid must be selected, which is quite a crucial step for the ORC turbine design due to the organic fluid special properties. In this case, organic fluid R245fa is selected as the working fluid in the turbine. Figure below shows its T-s diagram. The critical temperature T c is 427.6K, and the critical pressure P c is 3.65 MPa []. It is a typical dry fluid. Fig3. R245fa T-s diagram (the blue line is the liquid saturation line, the red line is the vapor saturation line) Secondly, the operation conditions of the turbine should be determined. In this step, the inlet total temperature and the rotational speed should be chosen. Three of the four following parameters also should be chosen: inlet total pressure, exit static pressure, mass flow rate and stage power. In this case, the boiling water is used as the heat source, so the inlet total temperature is limited to 364K, and the mass flow rate is given as 0.4kg. As the inlet total temperature T is assumed at 364K, and then the inlet total pressure p is estimated about 0.9MPa based on the R245fa thermodynamic property. In addition to this, the total-static expansion ratio is designed as 3.0. The main reason to set the value to 3.0 is to make sure that the flow is not supersonic because of the uncomfortable noise and low efficiency. Hence, the exit static pressure is determined as 0.3MPa. When deciding the rotational speed, two factors must be taken into consideration:.the rotational speed of the high speed generator can reach; 2.the specific speed of the operation condition should be in high efficiency region. These two factors restrict each other. If a high rotational speed is chosen to make sure the specific speed is in high efficiency region, this rotational speed may exceed in the speed limit of the generator. The rotational speed is set to 50000rpm to make a balance between the specific speed and the speed limit of the generator. The turbine specific speed is about 0.4 in this operation condition. In the end, the operation condition is determined as following: the inlet total temperature is 364K, the rotational speed is 50000rpm, the inlet total pressure is 0.9MPa, and the exit static pressure is 0.3MPa. Thirdly, the design parameters should be defined. Two methods: the method based on the flow and loading coefficient and the method based on the specific speed and speed ratio, are used for the preliminary design. The experiment parameters, such as the flow coefficient, the loading coefficient, the specific speed and speed ratio, used by the two method are recommended in a specific range based on large amount of turbine experiment performance data. In this case, the first method is used for the preliminary design. The flow coefficient ψ and loading coefficient ϕ can be expressed as: C U 4 6 () 4 C U 4 Where γ=r 6/r 4 is the rotor radius ratio, U 4 is the rotational speed in m/s, C θ4 and C θ6 are the tangential speed of rotor inlet and outlet absolute speed in m/s. C m 6 (2) U 4 Where C m6 is the rotor outlet normal speed in m/s. In this method, the recommended value of the flow coefficient is 0.2 to 0.3, and the value of the loading coefficient is 0.9 to.0. [2] The value of the flow coefficient is set to 0.25, and the value of the loading coefficient is set to 0.98. In the final step, before the nozzle and rotor preliminary geometry parameters are calculated, several preliminary geometry should be defined, including the nozzle vane number, 3 Copyright 203 by ASME

rotor blade number, radius ratio of nozzle inlet and nozzle exit, rotor exit deviation angle, etc. Finishing these settings, the volute, nozzle and rotor preliminary geometry parameters are calculated in an iterative process to meet the design goals. The picture of turbine geometry is shown below (see Figure4). And the detail information about the turbine geometry is shown in Table Fig.4 the ORC turbine geometry in 3D Table the geometry of the designed turbine Volute Throat radius 53 mm Throat area 32.73 mm 2 Nozzle Inlet radius 40 mm Exit radius 33 mm Blade height 2.2 mm Inlet blade angle 67 Exit blade angle 77 Number of blades 5 Rotor Inlet radius 32 mm Inlet blade angle 0 Exit tip radius 9 mm Exit hub radius 2.2 mm Exit blade angle -60 Number of blades The performance of the turbine working in this operation condition with R245fa is shown in Table2, which is calculated with Concepts-NREC design tool Rital. Table 2 the turbine performance in design point Performance parameter Mass flow rate 0.397kg/s Total-static efficiency 73.4% Output power 6.65kW U/C0 0.8 Specific speed 0.354 SIMILARITY ANALYSIS Deducing the similarity criterion In this application, we assume that the flow in the turbine is adiabatic, steady, viscous and compressible. Dimensional analysis method is used to deduce the similarity criterion. All the independent variable which can influence the turbine performance and the main performance parameters are listed below: Mechanical characteristic parameters: the geometry parameter D and the rotational speed n; Working fluid characteristic parameters: the gas constant R, dynamic viscosity μ and specific heat ratio κ; Flow condition parameters: inlet and outlet total pressure p and p 2, inlet and outlet total temperature T and T 2, the mass flow rate G m; Turbine performance parameters: isentropic efficiency ƞ and output power P; In all these twelve parameters, the geometry parameter D can be ignored as the turbine is the same in the two working fluid calculation conditions. In this case, there exits four basic dimensions: M, L, t, T. Hence, four of all the parameters should be chosen as basic parameters, and seven similarity numbers should be deduced. The four chosen basic parameters are gas constant R, dynamic viscosity μ, the inlet pressure p and temperature T. As the specific heat ratio κ and isentropic efficiency ƞ are dimensionless parameters, the similarity number needs to be deduced are only five. Then the calculated results of the five similarity numbers based on the dimensional analysis method are listed below: Solving dimensional equation about n: n (3) p Solving dimensional equation about p 2 : 2 p p 2 (4) Solving dimensional equation about T 2 : 3 T T 2 (5) Solving dimensional equation about G m : 4 G p m (6) 2 RT Solving dimensional equation about P : 5 Pp (7) 2 T R T R In these five similarity numbers, π andπ 4 consist of the parameters of single valued conditions, so they are the qualitative criteria. According to the similarity theory, if the 4 Copyright 203 by ASME

qualitative criteria are the same, the other criteria can also be the same. However, the influence of the specific heat ratio κ cannot be taken into consideration because it is dimensionless. In this case, the deviation between κ of air and that of R245fa is more than 5%. This deviation of κ may lead to a result that even the qualitative criteria are the same, the other criteria may be significantly different. A rough estimate about the influence will be done in the following. The rough estimate using the software Rital According to the deducing results above and the design operation condition using R245fa as working fluid in the former part, the similar operation condition using air as working fluid is calculated. In order to make the two operating conditions similar, the qualitative criteriaπ andπ 4 must be the same. In these two qualitative criteria, dynamic viscosity μ is setting as the inlet dynamic viscosity. Once the dynamic viscosity μ, the inlet total pressure p and temperature T are given, the rotational speed n and the mass flow rate G m can be achieved. For air, the deviations of its properties change little in large range of pressure and temperature, so an approximate value of μ can be given in advance. The other two parameters are independent. Hence, in theory infinite operating conditions can meet the demand. In this paper, the similar operating condition is determined in two following steps:.the inlet total temperature is set to the same as the R245fa operating condition; 2.then give different inlet total pressure, calculate the speed n based on the same π, and then input the p and n into the software Rital to achieve the mass flow rate G m, choose the operating condition of which π 4 is the same as the R245fa condition. The calculation results of the operating condition is shown in Table3, and the comparison of the six similarity numbers in the two operating conditions is given in Table4. Table 3 the operating condition using air as working fluid property parameter Inlet total pressure 3000kPa Inlet total temperature 364K Outlet static pressure 000kPa outlet static temperature 288K The rotational speed 00000rpm Mass flow rate 0.766kg/s Total-static efficiency 72.2% Output power 54.53kW U/C0 0.77 Specific speed 0.393 The results above shows that even if the deviation of the specific heat ratio κ is more than 5%, the two operating conditions can make a good similarity, especially in expansion ratio and isentropic efficiency. This result shows that κ has little influence on the similarity criteria in the similarity analysis. In the next part, the three-dimensional CFD simulation will be carried out to achieve more accurate results to verify the conclusion and make a deeper flow distribution analysis. Table 4 the comparison of the similarity numbers Similarity numbers R245fa Air Deviation π (given) 7.0e-8 7.0e-8 0 π 2 2.869 2.833.3% π 3.25.242 0.4% π 4 (given).65e+3.78e+3 7.9% π 5.23e+3.2e+3.6% Isentropic efficiency 73.4% 72.2%.6% NUMERICAL PROCEDURE The three-dimensional CFD simulation is carried out using the commercial CFD software FineTurbo. This software consists of the structured grid generation tools IGG and IGG/AutoGrid5, the three-dimensional Euler/Navier-Stokes solver EURANUS and the post processing tool CFView. One blade channel model One blade channel model is used in this flow field simulation case. The model consists of one nozzle vane channel and one rotor blade channel. The grid is generated in the tool IGG/AutoGrid5. In this tool, one parameter called the first cell width can be defined as the input parameter to generate the grids. This parameter is determined by the y + of the first cell close to the wall. In this case, the first wall y + is set to 0, and the calculation result of the first cell width is 0.003mm. Figure 5-7 show the blade-to-blade grid view and the blade-to-blade mesh topology configurations of the nozzle vane channel and rotor blade channel. Fig.5 one channel blade-to-blade grid view at midspan Fig. 6 the mesh topology configuration of nozzle channel 5 Copyright 203 by ASME

CFD RESULTS ANALYSIS Results convergence analysis Some calculated results are shown in Table7 and y + values near the wall are shown in Figure 8. Fig. 7 the mesh topology configuration of rotor channel Table 7 the convergence results of the two CFD case Variables R245fa model Air model Global residual 0e-5.996 0e-5.237 inlet mass flow 0.396 kg/s 0.7660 kg/s outlet mass flow 0.396 kg/s 0.7662 s The grid size and quality generated by the tool IGG/AutoGrid5 is shown below. (See Table 5) Table 5 the grid size and quality of nozzle and rotor channel type Grid Size Mini. Orthogonality Max Aspect ratio nozzle 38358 43.8 467 2.49 rotor 486920 3.6 967 2.58 Max Expansion ratio Calculation configuration Fluid models In these two cases, the working fluids are air and R245fa. Air already exists in the working medium library, and R245fa is added into library. When adding this working fluid, the fluid type is set to real gas. The R245fa gas constant is set to 62J/(kg K), and the specific heat C p, the heat conduction K, dynamic viscosity μ consist of a group of data based on the Tabgen tool, which is a working fluid database software of FineTurbo. Boundary conditions In this CFD case, as there is no volute in the computational model, the nozzle inlet flow direction is determined in the inlet condition. The inlet condition is set to the type of mass flow imposed based on the velocity direction. The outlet condition is set to the static pressure imposed. The numerical values of the boundary conditions and initial condition are given according to the rough results from the software Rital. The values will not be discussed in details. Other main calculations to conclude the mathematical model are: modelling of turbulence and treatment of rotor-stator matching plane. All of these option parameters are shown below in Table 6. Table6 other CFD calculation configurations Parameter type Mathematical model Turbulent Navier-Stokes Equation Modelling of turbulence Spalart-Allmaras model Rotor-stator plane Conservative coupling by pitchwise row (b) Air Fig. 8 y+ value near the wall Table7 shows that both of the CFD case reach a good convergence result. Both of the global residuals are below the 0e-5, and deviation between inlet and outlet mass flow can be ignored. From the Figure 8, the y + values near the wall indicate that the calculation results are reasonable. The fine estimate about the similarity numbers by CFD Firstly, Table8 shows the property parameters of the turbine operation in these two cases; Table 9 shows the comparison of the similarity number in these two cases. In this CFD simulation, the volute is not taken into consideration, so the property parameters have significant deviation with the results of the one-dimensional calculation. Of all the six similarity criterion numbers, the deviations of π 3 (related to T) and π 5 (related to P) are large; the deviations of π 2 (related to p) and the isentropic efficiency are small. From the CFD simulation, it may indicate that the property κ of the working fluid has much influence on the similarity criteria related to T and P, but little on the isentropic efficiency and 6 Copyright 203 by ASME

expansion ratio. Then the flow field distribution characteristic will be compared in detail below to see the turbine performance between air and R245fa. Table 8 the property parameters in these two cases Property parameter R245fa Air Inlet total pressure 000kPa 3680kPa Inlet total temperature 349K 34K Outlet total pressure 330kPa 40kPa outlet total temperature 333K 242K Mass flow rate 0.396 kg/s 0.766kg/s Output power 7.48kW 56.59kW Table 9 the similarity numbers in these two cases Similarity numbers R245fa Air Deviation π 6.28e-8 5.69e-8 9.4% π 2 3.03 3.23 6.6% π 3.05.30 23.8% π 4.87e+3 2.35e+3 25.5% π 5.63e+2.92e+2 7.8% Isentropic efficiency 8.0% 82.6% 2.0% The thermodynamic variables distribution on the flow field are shown below, Figure 9-2. (b) air Fig.0 total pressure distribution at midspan (b) air Fig.9 total temperature distribution at midspan (b) air Fig. relative Mach number distribution at midspan 7 Copyright 203 by ASME

influence on the pressure expansion ratio and isentropic efficiency results. Hence, the similarity numbers need to be revised according to the specific heat ratio κ. However, as the simulation model is only one channel model with no consideration of the volute, the conclusion achieved above need to be verified by the simulation model with the volute. And it is better to verify the conclusion by the experiment data. (b) air Fig.2 entropy distribution at midspan The figures above show the total temperature, total pressure, relative Ma number and the entropy distribution in the flow field. Figure 9 shows the total temperature distribution at the middle of the blade-to-blade view. In the rotor channel, the two cases have different temperature distribution. The main difference is that the temperature drops slower for R245fa condition. Figure 0 shows that the total pressure distribution are almost the same in the two models. In the two cases, the total-total expansion ratio changes little, about 6%. Figure shows the relative Mach number distribution. Two cases have nearly the same relative Mach number distribution from the nozzle channel to the rotor channel. Figure 2 shows the entropy distribution. The value of the entropy in the R245fa case is about one fifth of that in the air case in average. What s more, in the pressure side, there is a much larger low entropy region in the R245fa case than that in the air case. However, the efficiency of the R245fa case is lower than that of the air case. The main reason is that the total output of power in the R245fa case is only about one seventh of that in the air case. To summarize the results above, in terms of total pressure, relative Mach number and the entropy, the two case calculation results show that the distribution of these three parameters are almost the same. The total temperature distributions are different from the middle of the rotor channel to the outlet. In general, when the similarity numbers are used as the judgment to confirm whether two operating conditions are similar or not, the expansion ratio and isentropic efficiency are similar, but the similarity numbers related to temperature and output power are not. This results show that the specific heat ratio κ has much influence on the temperature and output power results, and little CONCLUSIONS In this paper, a high expansion ratio ORC turbine is designed for a small scale ORC system working with the organic fluid R245fa, and the influence of κ on the turbine performance parameters are analyzed. The flow field CFD simulation is conducted based on the R245fa operating condition and the similar air operating condition. The CFD simulation results comparison between the R245fa operating condition and the similar air operating condition illustrate that, in terms of expansion ratio and isentropic efficiency, the calculation result deviation of the similar air operating conditions is usually less than 0% compared with the original R245fa condition. However, if the temperature or output power is calculated by the similar air operating condition, the results may have a deviation more than 20%. The flow field deviation directly effects the accuracy of the turbine performance variables. The deviation of the variables such as temperature is much larger, but those of the total pressure, relative Ma number and entropy are smaller. The results above illustrate that the specific heat ratio κ has much influence on the temperature and output power results, and little influence on the pressure expansion ratio and isentropic efficiency results. Hence, the similarity numbers related to temperature and output power need to be revised according to the specific heat ratio κ. However, as the simulation model is only one channel model with no consideration of the volute, the conclusion achieved above need to be verified by the simulation model with the volute. And it is better to verify the conclusion by the experiment data. ACKNOWLEDGMENTS The authors would like to thank the National Basic Research Program of China (20CB707204) for the support. REFERENCES []. Boretti, A. A. (202). "Energy Recovery in Passenger Cars." Journal of Energy Resources Technology 34(2): 022203. [2]. J. Ringler, M. S., V. Guyotot and W. Hübner (2009). "Rankine Cycle for Waste Heat Recovery of IC Engines." SAE Int. J. Engines 2(): 67-76. [3]. Ho Teng, G. R. a. C. C. (2007). "Waste Heat Recovery of Heavy-Duty Diesel Engines by Organic Rankine Cycle Part II: Working Fluids for WHR-ORC." SAE international. [4]. Seok Hun Kang, D. H. C. (20). "DESIGN AND EXPERIMENTAL STUDY OF ORGANIC RANKINE CYCLE 8 Copyright 203 by ASME

(ORC) AND RADIAL TURBINE." Proceedings of ASME Turbo Expo 20. [5]. Luján, J. M., J. R. Serrano, et al. (202). "Model of the expansion process for R245fa in an Organic Rankine Cycle (ORC)." Applied Thermal Engineering 40: 248-257. [6]. Harinck, J., P. Colonna, et al. (200). "Influence of Thermodynamic Models in Two-Dimensional Flow Simulations of Turboexpanders." Journal of Turbomachinery 32(): 000. [7]. P. Colonna, S. R., J. Harinck and A. Guardone (2006). "Real-gas effects in ORC turbine flow simulations influence of thermodynamic models on flow fields and performance parameters." European Conference on Computational Fluid Dynamics. [8]. Colonna, P., J. Harinck, et al. (2008). "Real-Gas Effects in Organic Rankine Cycle Turbine Nozzles." Journal of Propulsion and Power 24(2): 282-294. [9]. Harinck, J., T. Turunen-Saaresti, et al. (200). "Computational Study of a High-Expansion Ratio Radial Organic Rankine Cycle Turbine Stator." Journal of Engineering for Gas Turbines and Power 32(5): 05450. [0]. Teemu Turunen-Saaresti, J. T., Jos van Buijtenen, Jaakko Larjola (2006). "EXPERIMENTAL AND NUMERICAL STUDY OF REAL-GAS FLOW IN A SUPERSONIC ORC TURBINE NOZZLE." Proceedings of GT2006. []. Eric W. Lemmon, R. S. (2006). "Short Fundamental Equations of State for 20 Industrial Fluids." J. Chem. Eng. Data 5: 785-850. [2]. Hany Moustapha, M. F. Z., Nicholas C. Baines, David Japikse (2003). Axial and Radial Turbines, Concepts NREC. 9 Copyright 203 by ASME