4th Engine ORC Consortium WorkshopNovember 15 - 17, Detroit, Michigan
Experimental Investigation of Waste Heat Recovery Using an
ORC for Heavy Duty TrucksM. Hombscha, K. Shariatmadara,
D. Maesb, P. Garsouxc
a Dana Belgium NV, b Flanders Make VZW,c Bosal Emissions Control Systems NV
4th EORCC Workshop, Detroit 2017
Experimental ORC - WHR for Heavy Duty TrucksDesign methodology and system optimization tool – Flanders Make
ORC design challenges
Working fluids• Water • Ethanol
• Butane • Refrigerant
4th EORCC Workshop, Detroit 2017
Fuel
En
ergy
BrakePower
Friction / Misc. Losses
HeatTransfer
ExhaustEnergy
42%
8%
24%
26%
10
0%
Engine Cooling
Charge Air Cooling
80-100°C
20-60°C
EGR Cooling
Tailpipe
200-750°C
200-600°C
Was
teH
eat
Qu
alit
y Lo
w
Was
teH
eat
Qu
alit
y H
igh
2 Evaporator
( heat source)
4 Condenser
( heat sink)
1 Pum p 3 Expander
Engine heat sources
Experimental ORC - WHR for Heavy Duty TrucksDesign methodology and system optimization tool
Use case specification
Heat sources (averaged)
• Exhaust 0.204 kg/s, 354 °C
• EGR 0.081 kg/s, 520 °C
Heat sink (averaged)
• Cooling water 1.5 kg/s, 60°C
Topological variations
• Six evaporator configurations
• Recuperator not useful
• EGR replacement(cost saving from
existing cooler)
4th EORCC Workshop, Detroit 2017
Exhaust onlyEGR only
Exhaust first
EGR first
ParallelEGR split
403 days* . 225 days*. .
Optimization• Changes components size and thermal cycle
• Constrained nonlinear programming
• Exhaustive search over fluids and topologies
Maximize expander power Minimize cost / net power
Experimental ORC - WHR for Heavy Duty TrucksDesign methodology and system optimization tool
4th EORCC Workshop, Detroit 2017*assuming 11 hour driving per day
Dynamic model in Amesim
Experimental ORC - WHR for Heavy Duty TrucksDesign methodology and system optimization tool
4th EORCC Workshop, Detroit 2017
2 Evaporator
( heat source)
4 Condenser
( heat sink)
1 Pum p 3 Expander2 Evaporator
( heat source)
4 Condenser
( heat sink)
1 Pum p 3 Expander
2 Evaporator
( heat source)
4 Condenser
( heat sink)
1 Pum p 3 Expander
2 Evaporator
( heat source)
4 Condenser
( heat sink)
1 Pum p 3 Expander
Experimental ORC - WHR for Heavy Duty TrucksDesign methodology and system optimization tool
4th EORCC Workshop, Detroit 2017
2 Evaporator
( heat source)
4 Condenser
( heat sink)
1 Pum p 3 Expander
Control Design
Experimental ORC - WHR for Heavy Duty TrucksDesign methodology and system optimization tool
4th EORCC Workshop, Detroit 2017
Control Design- Control of evaporator pressure
PI + feedforward + decoupling Model based control
simplest to implement better constraint handling32
31
30
29
28
500 1000 1500 2000 2500
Time in seconds
27
26
25
32
31
30
29
28
500 1000 1500 2500
Time in seconds
27
26
2520002000
Experimental ORC - WHR for Heavy Duty TrucksHeat exchanger development – Bosal
Non-dimensional evaporator sizing• NTU method (Number of Tranfer Units)
• Non dimensional numbers, 𝑁𝑇𝑈 = 𝑓 𝑟𝑐𝑝, 𝐶𝑟 , 𝑆𝑡, 𝐽𝑎−1,
Δ𝑇𝑠ℎ∞
−Δ𝑇𝑠𝑐, …
– Heat capacity ratio 𝑟𝑐𝑝, heat cap. rate ratio 𝐶𝑟, Stanton number 𝑆𝑡
– Inverse Jacob number 𝐽𝑎−1 (phase change)
– Ratio of superheating to subcoolingΔ𝑇𝑠ℎ
∞
−Δ𝑇𝑠𝑐
• No working fluid “hard coded” in calculations
4th EORCC Workshop, Detroit 2017
Experimental ORC - WHR for Heavy Duty TrucksHeat exchanger development – Bosal
Evaporator size optimization for HD trucks• Target: minimum pay-back for total WHR system• Inputs
– Tool developed by Flanders Make– Bosal evaporator model– Bosal cost model– European operating conditions
• Assumptions– Exhaust & EGR evaporators– Working fluid: Alcohol based– Volumetric expander– ...
Evaporator size minimizing €/W
4th EORCC Workshop, Detroit 2017
Experimental ORC - WHR for Heavy Duty TrucksHeat exchanger development – Bosal
Stability of evaporation process• Slope of -2 (-20dB/decade), indicating higher frequency massflow
oscillations do not affect the outlet temperature significantly
4th EORCC Workshop, Detroit 2017
Time [s]
Tem
per
atu
re
Raw signal, Temperature oscillation
Frequency [Hz]
Air Massflow oscillation dmair
Po
wer
Frequency [Hz]
Water Massflow oscillation dmair
Po
wer
Frequency [Hz]
Transfer function
Am
plif
icat
ion
Experimental ORC - WHR for Heavy Duty TrucksHeat exchanger development – Bosal
Heat exchanger performance• More than 50 sensors (T, p,ṁ)
• Heat transfer validation in 2-phase flow
4th EORCC Workshop, Detroit 2017
Set of operating points Sequenced perturbations
Experimental ORC - WHR for Heavy Duty TrucksFlow validation – Voxdale
CFD validation• Pipe bundle replaced with porous blocks
• Heat exchange inside blocks
• Nonlinear pressure drop in X and Y direction
• Wall temperature given as boundary condition
Results• Flow uniformity
• Bypass duct optimization
www.voxdale.be [email protected]
4th EORCC Workshop, Detroit 2017
BypassHEX core
Experimental ORC - WHR for Heavy Duty TrucksHeat exchanger development – Bosal
Hardware built: Evaporator• Modular design, different working fluids possible
• High Pressure operation (60 bar)
• Proven in-field operation
• To be integrated in Euro VI muffler
• Add-on with bypass
4th EORCC Workshop, Detroit 2017
Gas
Fluid
Evaporator
Bypass
Euro VI truck muffler WHR add-on
Experimental ORC - WHR for Heavy Duty TrucksTest bench and experimental results
4th EORCC Workshop, Detroit 2017
Coolant tank
Experimental ORC - WHR for Heavy Duty TrucksTest bench and experimental results
Prototypes:
Bosal evaporators Exoès expanderTube & shell heat exchanger double-acting swashplate
piston expander
4th EORCC Workshop, Detroit 2017
Experimental ORC - WHR for Heavy Duty TrucksTest bench and experimental results
Experimental results
4th EORCC Workshop, Detroit 2017
0 10 20 30 40 50 60
32
132
232
332
432
532
632
732
0
50
100
150
200
250
300
350
400
-36 164 364 564 764 964 1,164 1,364
Power P transferred to the cycle fluid [kW]
Tem
per
atu
re T
[°F
]
Tem
per
atu
re T
[°C
]
Cycle fluid enthalpy h [kJ/kg]
Experiment
2 Evaporator
( heat source)
4 Condenser
( heat sink)
1 Pum p 3 Expander
1
2
3
4
Experimental ORC - WHR for Heavy Duty TrucksTest bench and experimental results
Thermal efficiency Net fuel savings
4th EORCC Workshop, Detroit 2017
0
2
4
6
8
10
12
0%
2%
4%
6%
8%
10%
12%
0 50 100 150
Raw
ou
tpu
t p
ow
er [
kW]
Raw
th
erm
al e
ffic
ien
cy
Waste heat exploited [kW]
Engine back pressure,Pump consumption
Maximum Power tested(Conservative assumption)
0%
1%
2%
3%
4%
5%
0 50 100 150 200 250 300
Fuel
sav
ings
Equivalent shaft power [kW]
Includes:- Engine back pressure loss- Pump consumption
ConservativeMaximum Power assumption
Experimental ORC - WHR for Heavy Duty TrucksTest bench and experimental results
Sankey diagram for highway cruise
4th EORCC Workshop, Detroit 2017
Fuel:100%
Brakepower:45%
Coolant:29%
EGR: 12%
Exhaust12%
Turbine17%
WHR:17%
2%WHR gain,
11% from WHR input4% from brake power
Brakepower+ WHR:47%
Charge air 5%
Coolant:44% Ambient:
53%
6%
1%
Exhaustmanifold:29%
2%
6%
11%15%
3%
Experimental ORC - WHR for Heavy Duty TrucksTest bench and experimental results
Drive cycle analysis: GEM model• 340 kW (455 hp) model year 2018 engine, 6x4 configuration
• Applied fuel usage weighting to time spent in given power
• Weighted average ofthree drive cycles:– Urban
– 55 mph with slopes
– 65 mph with slopes
4th EORCC Workshop, Detroit 2017
Experimental ORC - WHR for Heavy Duty TrucksTest bench and experimental results
Drive cycle analysis: average fuel savings
4th EORCC Workshop, Detroit 2017
Mean fuel savings 3.5%
Experimental ORC - WHR for Heavy Duty TrucksTest bench and experimental results
Yearly savings, US sleeper cab
190,200𝑘𝑚
𝑦𝑒𝑎𝑟118,200
𝑚𝑖𝑙𝑒𝑠
𝑦𝑒𝑎𝑟, first three years, sleeper cab*
∗ 33.3𝑙
100𝑘𝑚7.06 𝑚𝑝𝑔, Model Year 2018 GEM simulation
∗ 1.04$
𝑙3.94
$
𝑔𝑎𝑙EIA 2025 retail +10.5% local tax
∗ 3.5% WHR system fuel econemy improvement
-$ 105 € 100 maintenance
= $ 𝟐𝟐𝟎𝟎 Yearly savings
Payback time ca. 2 years
4th EORCC Workshop, Detroit 2017
Today2.65 $/gal+28¢ local tax= 2.93 $/gal
20253,56 $/gal + 10.5% local tax= 3.94 $/gal
Experimental ORC - WHR for Heavy Duty TrucksConclusions
• Design methodology tool developed for ORC WHR– Pre-design tool for selection and size of components
– Optimizing total cost of ownership
– Steady-state design with dynamic evaluation
– Introduction of possible control strategies
• Hardware– ORC Test bench running on Diesel exhaust
– Exhaust heat exchanger prototypes from Bosal, sized using TCO analysis
– Expander prototype from Exoès, tailored for HD truck market
• Test results– Amesim model calibrated using static and dynamic tests
– Peak thermal efficiency of 11%, net drivecycle fuel saving 3.5%
– Payback time of 2 years for a WHR system
4th EORCC Workshop, Detroit 2017
Experimental ORC - WHR for Heavy Duty TrucksQuestions
4th EORCC Workshop, Detroit 2017
Maximilian Hombsch [email protected]
Keivan Shariatmadar [email protected]
Davy Maes [email protected]
Stephan Schlimpert [email protected]
Stefan Pas [email protected]
Filip Dörge [email protected]