P08451: Feasibility of Thermoelectric Waste Heat Recovery From Large Scale Systems Sam Haas Project Manager Mark Livelli Thermal Analysis Jacob LaManna System Level Chinedu Chikwem Structural Systems David Ortiz Electrical Systems Brittany Ray Feasibility Analysis
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P08451: Feasibility of Thermoelectric Waste Heat Recovery From Large Scale Systems
Sam Haas Project ManagerMark Livelli Thermal AnalysisJacob LaManna System LevelChinedu Chikwem Structural SystemsDavid Ortiz Electrical SystemsBrittany Ray Feasibility Analysis
Project Statement
• To understand how thermoelectrics can be used in power generation and how they operate in a large scale system.
• To gain insight into the technical and economic viability of using thermoelectrics for waste heat recovery in industrial settings.
Introduction to Thermo-Electrics
Solid state devices
Two modes of operation1) Current � temperature gradient2) Power Generation � temperature gradient to electrical
energy
Historically materials in TE modules are off the shelf and have been around since the 1960’s. Advancement in nano-scaled materials in the last 5 years has brought attention to power generation applications.
High Level Needs
• Develop a system model that can relate P07441 Auto Exhaust Test Bed and the Dresser Rand VECTRA Gas Turbine.
• Use the model to design, build and test a small scale prototype unit.
• Refine the model using the prototype.
• Use theoretical data to conduct feasibility study for Dresser Rand Vectra Gas Turbine
Summary of Past Design Reviews
• Concept / System Level Review– Rescope of project focus to include a more modular prototype– Redefine specification reference values
• Detailed Design Review– Need for mitigation of thermal expansion risk on modules
– Need for detailed drawing of electrical control interface– Uncertainty in feasibility analysis
Overall Project Flow
Model Development
Model Verification
Prototype Development
Prototype Testing
Feasibility Study
Model Refinement
Key:
-1st stage
-2nd stage
Thermal Resistive Network for Model
Convection Resistance
Fin-to-Duct Contact Resistance
Duct Conduction Resistance
Contact Resistance
Insulation Resistance
Thermoelectric Resistance
Contact Resistance
Cold Side Overall Resistance
Duct Cross-Sectional Thermal Model
Thermo Electric Module Thermo Electric Module
Thermo Electric Module Thermo Electric Module
Heat Flow From Exhaust (qh) Heat Flow From Exhaust (qh)
Heat Flow From Exhaust (qh) Heat Flow From Exhaust (qh)
Thermo Electric Cold Side Temperature (T1)
Thermo Electric Hot Side Temperature (T2)
Heat Flow Into Coolant (qc)
Heat Flow Into Coolant (qc)Heat Flow Into Coolant (qc)
Heat Flow Into Coolant (qc)
TE Cross-Sectional Thermal Model
Thermo Electric Cold Side Temperature (T1)Thermo Electric Hot Side Temperature (T2)
• Required input parameters– Duct and fin geometry– Exhaust and cooling parameters
– Thermo electric properties
• Preliminary calculations– Geometrical
– Thermal
– Resistance
• Numerical simulation
Plotted Results
Current Automotive Test Stand
Prototype Thermoelectric
Heat Exchanger
Key: • Heat Exchanger Integration Points
Prototype Design
Duct Heat Exchanger
•Designed to be a versatile test stand that can relatively quickly and easily be changed from one configuration to another.
•Heat Sinks can be changed or removed completely by removing the end tanks and separating the two halves of the duct
•Different numbers and types of TEGs may be used in different series and parallel configurations
Overall Assembly
Other Design Considerations
•SS Cooling Cold Plates Available in 8 and 12 inch Lengths, but the 12 inch allows testing of more modules in series while remainingwithin budget
•To ensure that the pressure on the modules does not increase to a point of failure due to thermal expansion Belleville disc springs will be used with the bolts
•PTFE gaskets will be used to seal all flange faces
•Insulation will be used on duct around modules
Model Verification
• Multiple Prototype Configurations– Interchangeable fins on hot-side of duct– Interchangeable TEG modules
• Data Collection– Parameter Sensors– Electrical Sensors– Digital Data Acquisition and Processing
Prototype Verification
• Mechanical Robustness– Stress analysis of materials– Thermal analysis of materials
• Analysis of Operation with Respect to Specifications– Thermal sensors– Pressure sensors– Flow sensors– Power calculations
Connection Diagram
Electrical Test Platform Schematic
• Power Calculated for 5 separate zones
• Voltage measurement in LABVIEW
• High Power Rheostats used to match load at Steady State
Feasibility Study
• Economic
– Predictions of future technology
– Linking it to the mathematical model and validating assumptions with testing of prototype
– The prototype will hopefully validate cost assumptions as it relates to TE modules
• Actual Vs. Predicted– Power Generation– System Efficiency– Needed Delta T to produce enough power to benefit existing system
Current Cost Evaluation
• Assumptions include:– 10000 TE modules– That there will be no maintenance cost for the thermoelectric modules.– The current conversion efficiency is 5%.– There will be no operating cost for the thermoelectric unit– Rated Capacity is 75%– TEG intercepts 50% of waste heat
Approaches
• Using Simulink– Power Output vs. Temperature Conditions
• Looks at the required Delta T to determine maximum energy output
– System Power vs. Efficiency Tradeoff• Understand behavior of trade off for large scale model• Shows what compromise in power might change device
efficiency/energy output– Power Output at different cost per Watt
• Vary $/W ($1/w, $2/w,$3/w)• Power output vs. Number of TE’s
Other considerations
• Examine how pressure drop causes reduction in turbine power– Dresser Rand is able to provide power vs. pressure drop
relationship curves for the VECTRA• Ideas for Thermoelectric System
– Device that measures and records exhaust gas temperature versus time
– Dresser Rand indicated they could use this information as input to low cycle fatigue analyses
• Determine how much power is needed to produce this device and use number as target number of KW to produce
Budget
Issues / Risks
Verification from experimental dataIsothermal surface assumptions in the model
Obtaining proper input data from sponsor for VECTRA turbine
Scaling issues for the analytical model
Use Belleville springs to minimize stresses on modules caused by thermal expansion
Thermal expansion effect on thermoelectric modules
Contacting other group ahead of time to minimize conflict
Combined use of facilities with other groups
Aggressive schedule, pushing for early completion of fabrication
Completing high level project needs
Place order before break or as soon as possible
Delivery of long lead items
MitigationIssue
SDII Schedule• 3/10/08 (week 1-2)
– Finalize all designs and drawings (early week 1)– Begin fabrication of prototype (with received parts)– Begin development of detailed test procedure– Begin creation of feasibility model (with unverified data)
• 3/24/08 (week 3-5)– Finish fabrication of prototype (by end of week 4)– Finalize test procedure– Begin test setup / creation of data acquisition program– Continue feasibility model
• 4/14/08 (week 6-8)– Testing of prototype / verification of model– Use newly acquired data in feasibility model to correlate VECTRA scaling
• 5/5/08 (week 9)– Finalize verification of model, feasibility study