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Innovation you can build on
TM
ENERGY TECHNOLOGIES
Driving Product Development Through Modelling
New and Historic Data in JMP
Stuart Little
2021-EU-30MP-780
2
ENERGY TECHNOLOGIES
CONTENTS
Potential uses for dielectric fluids in hybrid and electric vehicles
1
2
3
4
5
Introduction
Dielectric fluids
What are they, and what we are trying to achieve?
Investigating historic data in JMP
Investigating the relationship between the physical properties of dielectric fluids
Structure-Performance modelling of Dielectric fluids
Building performance models and validation through future synthetic work
Conclusions and future work
3
ENERGY TECHNOLOGIES
WHO WE ARE
We are the name behind the high performance ingredients and technologies in some of
the biggest, most successful brands in the world: developing, making and supplying
specialty chemicals that are relied on by industries and consumers everywhere.
Our Business Model
Engage Create Sell
We work in close
partnership with
customers and develop
emerging technologies
around the world
We design innovative
ingredients that
enhance everyday
products
We manufacture to
consistently high
standards across the
world
We generate revenue
by selling our
ingredients directly to
customers
Make
4
ENERGY TECHNOLOGIES
MARKETS WE SERVE
Personal Care
Personal Care
Life Sciences
Health Care Crop Care
Industrial Chemicals
Industrial
Chemicals
Performance Technologies
Coatings and
Polymers
Geo
Technologies
Home Care
Energy
Technologies
Polymer
Additives
5
ENERGY TECHNOLOGIES
PROBLEM DEFINITION
• How do we improve the efficiency of electrical cooling systems?
• Primary driver for this project is the electrification of transport
• Primary focus on battery technology and automotive fluids
• What are the current cooling methods?
• How can these be improved?
• Can build understanding of cooling fluids through data exploration and modelling?
6
ENERGY TECHNOLOGIES
CURRENT COOLING METHODS
What? Why? How? Alternatives
Batteries
To prevent
degradation
Air cooling
Cold plate
cooling
7
ENERGY TECHNOLOGIES
CURRENT COOLING METHODS
What? Why? How? Alternatives
Batteries
To prevent
degradation
Air cooling
Cold plate
cooling
Power
electronics
To prevent
overheating
Heatsinks
8
ENERGY TECHNOLOGIES
CURRENT COOLING METHODS
What? Why? How? Alternatives
Batteries
To prevent
degradation
Air cooling
Cold plate
cooling
Power
electronics
To prevent
overheating
Heatsinks
Electric
motors
To minimise
current
resistance
Cooling jackets
9
ENERGY TECHNOLOGIES
CURRENT COOLING METHODS
What? Why? How? Alternatives
Batteries
Prevent
degradation
Air cooling
Cold plate
cooling
Direct immersion
cooling
Power
electronics
Prevent
overheating
Heatsinks
Direct immersion
cooling
Electric
motors
Minimise
current
resistance
Cooling jackets
Spray cooling
Drip cooling
10
ENERGY TECHNOLOGIES
EFFICIENT LIQUID COOLING OF ELECTRICAL EQUIPMENT
Dielectric Fluids
• Must be non-electrically
conductive
• Should have high thermal
conductivity for cooling
• Should be low viscosity to aid
pumping efficiency
11
ENERGY TECHNOLOGIES
DIELECTRIC FLUID PROPERTIES
• The ability of a fluid to transfer heat is based on the equation below
𝑄 = 𝑘𝐴 𝑇2 − 𝑇1
• For efficient heat transfer a high heat transfer coefficient is required
Q Heat transfer (W)
k Heat transfer coefficient (W m-2 K-1)
A Area (m2)
T2, T1 Temperature of object surface and cooling liquid, respectively
12
ENERGY TECHNOLOGIES
DIELECTRIC FLUID PROPERTIES
• The heat transfer coefficient is defined in the equation below
𝑘 =
𝜌𝜆𝐶𝑝
𝜈
ρ Density (kg m-3)
λ Thermal conductivity (W m-1 K-1)
Cp Specific heat capacity (kJ kg-1 K-1)
ν Kinematic viscosity (mm2 s-1)
13
ENERGY TECHNOLOGIES
DIELECTRIC FLUID PROPERTIES
• In order to optimise this coefficient we want
• High  density
• High  thermal conductivity
• High  specific heat capacity
• Low  viscosity
k =
𝜌𝜆𝐶𝑝
𝜈
14
ENERGY TECHNOLOGIES
DIELECTRIC FLUID PROPERTIES
• We wanted to understand relationship between
structure and performance
• Large scale study to measure physical
properties of esters
• Modelling work carried out the relate physical
properties to structure
15
ENERGY TECHNOLOGIES
JMP
16
ENERGY TECHNOLOGIES
DIELECTRIC FLUIDS
• Structure performance model created
through linear regression in JMP
• Model used to direct the synthesis of new
materials
• Acceptable correlation seen between
model and new molecules
17
ENERGY TECHNOLOGIES
0
0.02
0.04
0.06
0.08
0.1
0.12
0.14
0.16
0.18
Thermal
Conductivity
at
80
°C
(W/mK)
PAO 2
PAO 4
Yubase 4 Esters
New molecules
NEW MOLECULES
• Directed synthesis of molecules with higher
thermal conductivity
• Targeted improvement in thermal conductivity
is possible
• Model aims to balance thermal conductivity
with other factors
• Must not negatively impact other properties
• Further development ongoing to refine model
and widen scope
18
ENERGY TECHNOLOGIES
CONCLUSIONS
• Data obtained from applications testing has been used to successfully model
product performance
• Model demonstrates the structure performance relationship of esters
• Model was used to predict materials with high thermal conductivity
• Predictions from the model verified through synthesis of new materials
• Demonstrated the possibility of tailoring the properties of dielectric fluids
• Success of this work has built momentum for the use of data and JMP to drive NPD
HQ Cowick Hall, Snaith, Goole,
East Yorkshire, DN14 9AA, UK
+44 (0) 1405 860551
@CrodaPlc
Thank you! Any questions?

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2021-EU-30MP-780 - Driving Product Development.pdf

  • 1. Innovation you can build on TM ENERGY TECHNOLOGIES Driving Product Development Through Modelling New and Historic Data in JMP Stuart Little 2021-EU-30MP-780
  • 2. 2 ENERGY TECHNOLOGIES CONTENTS Potential uses for dielectric fluids in hybrid and electric vehicles 1 2 3 4 5 Introduction Dielectric fluids What are they, and what we are trying to achieve? Investigating historic data in JMP Investigating the relationship between the physical properties of dielectric fluids Structure-Performance modelling of Dielectric fluids Building performance models and validation through future synthetic work Conclusions and future work
  • 3. 3 ENERGY TECHNOLOGIES WHO WE ARE We are the name behind the high performance ingredients and technologies in some of the biggest, most successful brands in the world: developing, making and supplying specialty chemicals that are relied on by industries and consumers everywhere. Our Business Model Engage Create Sell We work in close partnership with customers and develop emerging technologies around the world We design innovative ingredients that enhance everyday products We manufacture to consistently high standards across the world We generate revenue by selling our ingredients directly to customers Make
  • 4. 4 ENERGY TECHNOLOGIES MARKETS WE SERVE Personal Care Personal Care Life Sciences Health Care Crop Care Industrial Chemicals Industrial Chemicals Performance Technologies Coatings and Polymers Geo Technologies Home Care Energy Technologies Polymer Additives
  • 5. 5 ENERGY TECHNOLOGIES PROBLEM DEFINITION • How do we improve the efficiency of electrical cooling systems? • Primary driver for this project is the electrification of transport • Primary focus on battery technology and automotive fluids • What are the current cooling methods? • How can these be improved? • Can build understanding of cooling fluids through data exploration and modelling?
  • 6. 6 ENERGY TECHNOLOGIES CURRENT COOLING METHODS What? Why? How? Alternatives Batteries To prevent degradation Air cooling Cold plate cooling
  • 7. 7 ENERGY TECHNOLOGIES CURRENT COOLING METHODS What? Why? How? Alternatives Batteries To prevent degradation Air cooling Cold plate cooling Power electronics To prevent overheating Heatsinks
  • 8. 8 ENERGY TECHNOLOGIES CURRENT COOLING METHODS What? Why? How? Alternatives Batteries To prevent degradation Air cooling Cold plate cooling Power electronics To prevent overheating Heatsinks Electric motors To minimise current resistance Cooling jackets
  • 9. 9 ENERGY TECHNOLOGIES CURRENT COOLING METHODS What? Why? How? Alternatives Batteries Prevent degradation Air cooling Cold plate cooling Direct immersion cooling Power electronics Prevent overheating Heatsinks Direct immersion cooling Electric motors Minimise current resistance Cooling jackets Spray cooling Drip cooling
  • 10. 10 ENERGY TECHNOLOGIES EFFICIENT LIQUID COOLING OF ELECTRICAL EQUIPMENT Dielectric Fluids • Must be non-electrically conductive • Should have high thermal conductivity for cooling • Should be low viscosity to aid pumping efficiency
  • 11. 11 ENERGY TECHNOLOGIES DIELECTRIC FLUID PROPERTIES • The ability of a fluid to transfer heat is based on the equation below 𝑄 = 𝑘𝐴 𝑇2 − 𝑇1 • For efficient heat transfer a high heat transfer coefficient is required Q Heat transfer (W) k Heat transfer coefficient (W m-2 K-1) A Area (m2) T2, T1 Temperature of object surface and cooling liquid, respectively
  • 12. 12 ENERGY TECHNOLOGIES DIELECTRIC FLUID PROPERTIES • The heat transfer coefficient is defined in the equation below 𝑘 = 𝜌𝜆𝐶𝑝 𝜈 ρ Density (kg m-3) λ Thermal conductivity (W m-1 K-1) Cp Specific heat capacity (kJ kg-1 K-1) ν Kinematic viscosity (mm2 s-1)
  • 13. 13 ENERGY TECHNOLOGIES DIELECTRIC FLUID PROPERTIES • In order to optimise this coefficient we want • High  density • High  thermal conductivity • High  specific heat capacity • Low  viscosity k = 𝜌𝜆𝐶𝑝 𝜈
  • 14. 14 ENERGY TECHNOLOGIES DIELECTRIC FLUID PROPERTIES • We wanted to understand relationship between structure and performance • Large scale study to measure physical properties of esters • Modelling work carried out the relate physical properties to structure
  • 16. 16 ENERGY TECHNOLOGIES DIELECTRIC FLUIDS • Structure performance model created through linear regression in JMP • Model used to direct the synthesis of new materials • Acceptable correlation seen between model and new molecules
  • 17. 17 ENERGY TECHNOLOGIES 0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 Thermal Conductivity at 80 °C (W/mK) PAO 2 PAO 4 Yubase 4 Esters New molecules NEW MOLECULES • Directed synthesis of molecules with higher thermal conductivity • Targeted improvement in thermal conductivity is possible • Model aims to balance thermal conductivity with other factors • Must not negatively impact other properties • Further development ongoing to refine model and widen scope
  • 18. 18 ENERGY TECHNOLOGIES CONCLUSIONS • Data obtained from applications testing has been used to successfully model product performance • Model demonstrates the structure performance relationship of esters • Model was used to predict materials with high thermal conductivity • Predictions from the model verified through synthesis of new materials • Demonstrated the possibility of tailoring the properties of dielectric fluids • Success of this work has built momentum for the use of data and JMP to drive NPD
  • 19. HQ Cowick Hall, Snaith, Goole, East Yorkshire, DN14 9AA, UK +44 (0) 1405 860551 @CrodaPlc Thank you! Any questions?