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Kyle Gluesenkamp; [email protected] Oak Ridge National Laboratory Heat Pump Clothes Dryer 2017 Building Technologies Office Peer Review
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Heat Pump Clothes Dryer - energy.govof a residential heat pump clothes dryer with energy factor > 6 lb/kWh. Dozens of models are available in Europe, but very few in ... Drum heat

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  • Kyle Gluesenkamp; [email protected] Oak Ridge National Laboratory

    Heat Pump Clothes Dryer 2017 Building Technologies Office Peer Review

  • 2

    Project Summary

    Timeline: Start date: Oct 1, 2012 Planned end date: Sept 30, 2017 Key Milestones 1. Experimental validation to demonstrate utility

    of model as design tool. Met: Jan 31, 2017 2. Document next generation design. Upcoming:

    Apr 30, 2017

    Budget: Total Project $ to Date: β€’ DOE: $3770k

    Total Project $: β€’ DOE: $3770k

    Key Partners:

    Project Outcome: Evaluate the technical and commercial viability of a residential heat pump clothes dryer, configured for US market, that enables reduced energy consumption meeting 2020 MYPP target of EF greater than 6.

    GE Appliances (CRADA)

  • 3

    Purpose and Objectives Problem Statement: Evaluate the technical and commercial viability of a residential heat pump clothes dryer with energy factor > 6 lb/kWh. Dozens of models are available in Europe, but very few in the US. Research is needed to configure a HPCD to meet U.S. consumer desire for drying large loads with fast dry times and low price premium. Target Market and Audience: Residential clothes drying. Unit shipments of 8M units/year, at $300-1500 retail price (weighted towards $600-1000 range). Market size (2017) 622 TBtu/yr. Impact of Project: Introducing a high energy factor HPCD with high energy factor, fast dry time, and modest price premium is needed to finally create a substantial market for heat pump dryers in the U.S.

  • 4

    Objective

    β€’ Advance drying state-of-the-art at unprecedentedly low cost

    2

    3

    4

    5

    6

    7

    8

    0 20 40 60 80 100

    CEF

    [lb

    clot

    h/kW

    h]

    Dry time [minutes] (DOE 8.45 lb load)

    Existing HP products (LG, WP, Asko) ER

    Existing electric resistance products

    $1200-1600 retail State of art

    HPCD

    Project goal

    Fast, E-STAR

    Measured 2nd generation ORNL/GEA prototype

    Combined energy factor: π‘ͺπ‘ͺπ‘ͺπ‘ͺπ‘ͺπ‘ͺ = 𝒄𝒄𝒄𝒄𝒄𝒄𝒄𝒄𝒄𝒄 π’Žπ’Žπ’Žπ’Žπ’Žπ’Žπ’Žπ’Ž 𝒅𝒅𝒅𝒅𝒅𝒅𝒅𝒅𝒅𝒅𝒅𝒅𝒄𝒄𝒅𝒅𝒄𝒄𝒄𝒄𝒅𝒅𝒅𝒅𝒄𝒄𝒅𝒅𝒄𝒄𝒆𝒆 π’„π’„π’„π’„π’„π’„π’Žπ’Žπ’„π’„π’Žπ’Žπ’…π’…π’…π’…

  • 5

    Approach Tactic: New, more rigorous approach to modeling and validation to minimize component sizes and costs while maintaining favorable dry time and efficiency. Key Issues: Dry time, price premium, and efficiency. A successful product in the US market would need to address all three of these issues: β€’ Efficiency needed to differentiate product in the market β€’ Dry time needs to be acceptable to consumers β€’ Price premium needs to be typical for premium laundry products Distinctive Characteristics: Faster dry time, lower projected cost, and higher CEF compared with existing HPCDs on the US market.

  • 6

    Heat Pump Clothes Dryer Cycle

    β€’ β€œClosed” cycle – ductless, no hole through wall β€’ Recover condenser waste heat to evaporate water in clothes β€’ Use evaporator to condense and remove moisture

  • 7

    β€’ Despite apparent simplicity in a process diagram, HPCD is a complex and highly-coupled system.

    β€’ It is only loosely coupled to any fixed state points.

    β€’ Approach: fresh modeling framework and validation by prototyping

    HPCD Modeling: a Highly Coupled System

    Thermodynamic cycle

    (heat pump)

    Psychrometric cycle

    Pneumatic system (blower,

    leakages) coupled

    Drum heat and mass exchanger

    Leakage-related transfers:

    Latent heat

    Sensible heat

    Convective and radiative heat

    transfer

    Dryer System Surroundings

  • 8

    Notes: β€’ Dry time and compressor

    discharge temperature - important design targets.

    β€’ Clothing moisture content mass ratio (lbwater/lbcloth) starts at 57.5%, ends at 4%.

    Start drying

    Water removal

    Heating Capacity

    Heating

    Sink Source

    Psychrometric process

    End drying

    Air temperature

    HPCD Modeling: a Transient Drying Process H

    umid

    ity ra

    tio

  • 9

    Progress and Accomplishments Accomplishments: β€’ Accurate hardware-based design model developed in ORNL’s HPDM

    platform – New drum effectiveness approach advances the science of dryer

    analysis β€’ 2 generations of prototypes fabricated and evaluated β€’ Cost reductions achieved via model-guided design process Market Impact: β€’ Over 50% reduction in incremental manufacturing cost achieved β€’ Assessment of commercialization potential under consideration Awards/Recognition: None Lessons Learned: Key parts of modeling effort can be simplified; other key parts cannot. Some simplified models are being disseminated in publications.

  • 10

    Progress and Accomplishments: Timeline

    FY12-13 FY14 FY15 FY16 FY17 today

    Gen 2a Prototype Gen 1 Prototype

    Sealing improvements

    Develop drum effectiveness

    model

    Characterize various drums for their effectiveness as function of key variables

    Gen 2 Prototype design

    Gen 2 Prototype fabrication

    Incorporate leakage into modeling

    framework

    Experimental activities

    Modeling activities

    Other activities

    Initial evaluation

    Gen 1 Delivered to

    ORNL

    Gen 1 Prototype fabrication

    Charge optimization; evaluation

    EXV changed

    Charge optimization

    Gen 2b design

    Gen 2b fab. and evaluation

    Gen 2b

    FY12-13 Combined washer/

    dryer research

    Establish CRADA

    Establish dryer modeling capability

  • 11

    Accomplishments: Validated Design Model

    β€’ Model predictions accurate compared with 12-test experimental test matrix:

    Test # Deviation: CEF [-]

    Deviation: dry time [min]

    Deviation: compressor discharge [Β°F]

    1 -4.0% -0.1 7.8 2 -2.5% -0.7 2.7 3 -3.9% 1.1 19.4 4 -5.2% 2.1 17.7 5 9.2% -4.5 1.5 6 10.0% -5.3 0.4 7 6.9% -1.6 13.6 8 2.5% -1.8 21.3 9 1.1% -1.1 7.2

    10 3.6% -4.5 5.9 11 -0.9% -0.4 20.5 12 0.3% 0.7 15.3

    Average 1.4% -1.3 11.1 Stdev 4.9% 2.2 7.4 Max dev 10.0% 5.3 21.3

  • 12

    Progress and Accomplishments

    System incremental manufacturing cost lowered by more than 2x, compared with conventional heat pump dryers. Enabled by:

    – Rigorous modeling and validation framework

    – Consideration of system-level effects of component selections

    – New method of drum heat and mass transfer effectiveness modeling

    – Pursuing cost-effective design changes suggested by model

    Gen 2a prototype under evaluation at ORNL

  • 13

    πœ”πœ”π‘œπ‘œπ‘œπ‘œπ‘œπ‘œ ,𝑖𝑖 = πœ”πœ”π‘ π‘ ,𝑖𝑖 βˆ’ (πœ”πœ”π‘ π‘ ,𝑖𝑖 βˆ’ πœ”πœ”π‘–π‘–π‘–π‘– ,𝑖𝑖) Γ— (1.0βˆ’ 𝐸𝐸𝑀𝑀)

    π‘‡π‘‡π‘œπ‘œπ‘œπ‘œπ‘œπ‘œ ,𝑖𝑖 = 𝑇𝑇𝑠𝑠,𝑖𝑖 βˆ’ (𝑇𝑇𝑠𝑠,𝑖𝑖 βˆ’ 𝑇𝑇𝑖𝑖𝑖𝑖 ,𝑖𝑖) Γ— (1.0 βˆ’ 𝐸𝐸𝐻𝐻)

    𝑄𝑄𝑖𝑖 = π‘šπ‘šπ‘Žπ‘Žπ‘–π‘–π‘Žπ‘Ž ,π‘π‘π‘–π‘–π‘Žπ‘Žπ‘π‘ Γ— (π»π»π‘œπ‘œπ‘œπ‘œπ‘œπ‘œ ,π‘–π‘–βˆ’π»π»π‘–π‘–π‘–π‘– ,𝑖𝑖)

    π‘Šπ‘Šπ‘Žπ‘Žπ‘œπ‘œπ‘Šπ‘Šπ‘Žπ‘Žπ‘Šπ‘Šπ‘Šπ‘Šπ‘œπ‘œπ‘Šπ‘Šπ‘–π‘– = π‘šπ‘šπ‘Žπ‘Žπ‘–π‘–π‘Žπ‘Ž ,π‘π‘π‘–π‘–π‘Žπ‘Žπ‘π‘ Γ— (πœ”πœ”π‘œπ‘œπ‘œπ‘œπ‘œπ‘œ ,𝑖𝑖 βˆ’ πœ”πœ”π‘–π‘–π‘–π‘– ,𝑖𝑖)

    β€’ Definition newly applied to dryer application

    β€’ Effectiveness has strong dependence on RMC

    β€’ Advanced the science of clothes dryer analysis: first publication of empirical drum effectiveness-based HPCD modeling and design

    Mathematical Model:

    y = -72.775x4 + 110.89x3 - 60.94x2 + 14.394x - 0.308

    RΒ² = 0.9904

    0.4

    0.5

    0.6

    0.7

    0.8

    0.9

    1

    0.00% 20.00% 40.00% 60.00%

    Heat

    &M

    ass

    Tran

    sfer

    Effe

    ctiv

    enes

    s

    RMC

    Effectiveness Reducedfrom Lab Data

    Poly. (EffectivenessReduced from LabData)

    Model VCS in the transient process

    Empirical Drum Heat & Mass Transfer Effectiveness

    Remaining moisture content (RMC)

    http://www.ornl.gov/%7Ewlj/hpdm/MarkVII.shtml

  • 14

    Developed New Leakage Characterization Technique

    β€’ Seal everything not to be measured β€’ Pressurize drum with calibrated blower to determine flow

    coefficient (Cv) of segment under test. Repeat for all segments. β€’ Measure pressures in situ during normal operation β€’ Combine Cv and Ξ”P measurements to calculate leakage flows

    Dryer air segment

    Leak

    age

    flow

    rate

    Gau

    ge p

    ress

    ure

    π‘½π‘½π’„π’„π’„π’„π’„π’„π’Žπ’Žπ’…π’… 𝒇𝒇𝒄𝒄𝒄𝒄𝒇𝒇 = π‘ͺπ‘ͺπ‘ͺπ‘ͺ βˆ†π‘·π‘·

  • 15

    Refrigerant state points Power consumption

    Air side: evaporator inlet RH

    Model Accurately Predicts Performance; State Points

    40

    50

    60

    70

    80

    0 0.2 0.4 0.6

    Pres

    sure

    [psi

    a]

    RMC

    Suction Pressure

    Psuc_Measure

    Psuc_Model

    Measured

    Predicted

    100105110115120125130135140145

    0 0.2 0.4 0.6Te

    mpe

    ratu

    re [F

    ]RMC

    Condenser out Temperature [F]

    TevapOut_Measure

    TevapOut_Model

    Measured

    Predicted

    500

    550

    600

    650

    700

    750

    800

    850

    0 0.2 0.4 0.6

    Com

    pres

    sor P

    ower

    [W]

    RMC

    CompPower_Measured

    CompPower_Model

    Measured

    Predicted

    0

    0.2

    0.4

    0.6

    0.8

    1

    1.2

    0 0.1 0.2 0.3 0.4 0.5 0.6

    RH

    RMC

    measure

    ModelMeasured Predicted

    β€’ Predicted energy factor within 10% β€’ Predicted drying cycle time within 5 minutes β€’ Predicted max discharge temperature within 20Β°F

  • 16

    Project Integration: Commercialization prospects under consideration by industry partner Partners, Subcontractors, and Collaborators: Undergraduate interns: Dakota Goodman, University of Louisville; Amar Mohabir, University of Florida Communications: β€’ Shen, B., Gluesenkamp, K., Bansal, P., Beers, D. (2016). β€œHeat pump

    clothes dryer model development”. 16th Refrigeration and Air Conditioning Conference, Purdue University, West Lafayette, IN, 7/2016.

    β€’ Gluesenkamp, K.R., Goodman, D., Shen, B., Patel, V. β€œAn Efficient Correlation for Heat and Mass Transfer Effectiveness in Tumble-type Clothes Dryer Drums” (manuscript in preparation)

    β€’ Pradeep Bansal, Amar Mohabir, William Miller (2016). β€œA novel method to determine air leakage in heat pump clothes dryers”. Energy 96:1-7.

    Project Integration and Collaboration

  • 17

    β€’ Finalize Gen 2b design refinements – final generation of prototype incorporating lessons learned

    β€’ Finalize experimental evaluation

    β€’ Commercialization determination

    Next Steps and Future Plans

  • 18

    REFERENCE SLIDES

  • 19

    Project Budget: 3770k Variances: None Cost to Date: 3613k Additional Funding: None

    Budget History

    FY 2012 – FY 2016 (past)

    FY 2017 (current)

    FY 2018 (planned)

    DOE Cost-share DOE Cost-share DOE Cost-share 3392k * 378k * 0 0

    Project Budget

    * In-kind contribution from CRADA partner – exact total is confidential information

  • 20

    Project Plan and Schedule

    Project ScheduleProject Start: Oct 1, 2012Projected End: Sept 30, 2017

    Task

    Q1

    (Oct

    -Dec

    )

    Q2

    (Jan-

    Mar

    )

    Q3

    (Apr

    -Jun)

    Q4

    (Jul-S

    ep)

    Q1

    (Oct

    -Dec

    )

    Q2

    (Jan-

    Mar

    )

    Q3

    (Apr

    -Jun)

    Q4

    (Jul-S

    ep)

    Q1

    (Oct

    -Dec

    )

    Q2

    (Jan-

    Mar

    )

    Q3

    (Apr

    -Jun)

    Q4

    (Jul-S

    ep)

    Past WorkDevelop air leakage modelFabricated 2nd generation prototypeCEF evaluationGO/NO-GO: Design goals metGO/NO-GO: Model validated Current/Future WorkNext generation designEvaluate CEF

    Completed WorkActive Task (in progress work)Milestone/Deliverable (Originally Planned) Milestone/Deliverable (Actual)

    FY2015 FY2016 FY2017Go/No-Go Milestone

    Sheet1

    Project Schedule

    Project Start: Oct 1, 2012Completed Work

    Projected End: Sept 30, 2017Active Task (in progress work)

    Milestone/Deliverable (Originally Planned)

    Milestone/Deliverable (Actual)

    Go/No-Go Milestone

    FY2015FY2016FY2017

    TaskQ1 (Oct-Dec)Q2 (Jan-Mar)Q3 (Apr-Jun)Q4 (Jul-Sep)Q1 (Oct-Dec)Q2 (Jan-Mar)Q3 (Apr-Jun)Q4 (Jul-Sep)Q1 (Oct-Dec)Q2 (Jan-Mar)Q3 (Apr-Jun)Q4 (Jul-Sep)

    Past Work

    Develop air leakage model

    Fabricated 2nd generation prototype

    CEF evaluation

    GO/NO-GO: Design goals met

    GO/NO-GO: Model validated

    Current/Future Work

    Next generation design

    Evaluate CEF

    Insert more Milestones as needed

    Slide Number 1Project SummaryPurpose and ObjectivesObjectiveApproachSlide Number 6HPCD Modeling: a Highly Coupled SystemSlide Number 8Progress and AccomplishmentsProgress and Accomplishments: TimelineAccomplishments: Validated Design ModelProgress and AccomplishmentsEmpirical Drum Heat & Mass Transfer Effectiveness Slide Number 14Model Accurately Predicts Performance; State PointsProject Integration and CollaborationNext Steps and Future PlansSlide Number 18Project BudgetProject Plan and Schedule