Ben Larson 10 May 2010 [email protected] 4056 9 th Avenue NE, Seattle, WA 98105 (206) 322-3753 Fax:...
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Transcript of Ben Larson 10 May 2010 [email protected] 4056 9 th Avenue NE, Seattle, WA 98105 (206) 322-3753 Fax:...
Ben Larson10 May 2010
[email protected] 9th Avenue NE, Seattle, WA 98105(206) 322-3753 Fax: (206) 325-7270
Overview What is SEEM? What can you do with it? What are we going to do today?
History and BackgroundRunning SEEMOutputs Inputs with examplesQuestions
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Simple Energy Enthalpy Model Calculates annual building heating and cooling energy
use Developed specifically for single family residential
buildings Single zone model
Also appropriate for small-scale multi-family construction including townhouses and 3-5 story flats
Differentiating features: Empirically derived heat pump performance maps
▪ Multiple control strategy possibilities Full duct model include losses to a regain from buffer spaces Ground contact heat transfer based on ISO standard handles
many types of construction and insulation Input and output via CSV file allows for large parametric studies
and flexible analysis 3
Pairwise Comparisons Compare proposed building against base case for
compliance purposes Single Building Studies (1 to 50 runs)
Examine multiple measures for best energy savings opportunities and cost effectiveness
Medium Scale Studies (50 to 1,000 runs) Writing TCOs for NW Energy Star program Regional window retrofit measure
Large Scale Studies (5,000 to 500,000 to 1M+) Power Council 6th Power Plan Residential Sector Generate and analyze runs programmatically
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Provide enough information to start modeling a generalized building population Suitable for comparing codes and
standards or determining savings values for a conservation program
Interpret SEEM output In-depth explanation of developing
simulation inputs
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Developed by Larry Palmiter Originally designed to model duct losses
implementing ASHRAE Std 152 and to model heat pump performance
Builds on previous work including SUNCODE SUNDAY WATTSUN Thermal calculations based on nodal
network Designed to be simple yet accurate and
powerful6
Taking 66 inputs, SEEM calculates the building heating and cooling loads, including humidity effects, at hourly intervals to determine annual energy use.
SEEM accounts for: Weather conditions using TMY data (1500 unique sites
available)▪ Including solar gains and humidity
Internal heat and moisture gains Heat and moisture loss to buffer spaces through
conduction and duct leakage Heat loss to the exterior Heat Pump COP
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SEEM accurately models both air temperature and mean radiant temperature
SEEM offers state of the art modeling of heat pumps and air-conditioners including thermostat setup penalty and heat pump controls Empirically derived performance maps for HP and A/C
include Multiple equipment control strategy possibilities
Complete psychrometrics implementation includes Water balance on all zones: attic, crawl, and conditioned
space User input for internal water gains Calculation of latent cooling load
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SEEM accounts for duct losses and their impact on all zones/buffer spaces
SEEM calculates ground heat transfer to estimate the overall 3-dimensional U-value. Slab-on-grade
▪ Full under slab insulation (interior insulation also modeled)▪ Perimeter insulation with user determined depth
Crawl spaces, Unheated and Heated basements▪ Allows different wall types for above and below grade
components Multi-level buildings are modeled with
independent input of conditioned floor area, volume, footprint area, ceiling area, and external (i.e. cantilevered or over garage) floor area
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Under the hood Uses input.csv file & output.csv file
On top - Excel spreadsheet integration Contains input and output within one workbook Easy to edit parameters Flexible for analysis Fully customizable
▪ User can create additional calculations for DHW, lighting, etc
▪ Easy to integrate with graphs or other tables
aa_copy_me_seem92.xls Example: ex1-nwcities.xls
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UATotal (Btu/hr F) calculated UA Total UA from house to outside and ground including air infiltration.
HDD65 (°D)° Heating Degree Days Base 65 Heating degree days base 65 for input climate
CDD65 (°D) Cooling Degree Days Base 65 Cooling degree days base 65 for input climate
Pressure (atm) Site pressure in std atmospheres Can be used to correct for altitude effects on mass flow
RoomHeatkWh (kWh) Annual house heating load Heat which must be delivered to house (conditioned zone)
EquipHeatkWh (kWh) Annual heating equipment output Heat supplied by equipment into the duct system. The number includes the effects of duct losses and fan heat. Includes all auxheat.
InHeatkWh (kWh) Annual heating equipment input Site energy required to produce equipheat. Includes the effects of equip. eff., duct losses, and fan energy. Includes all auxheat.
AuxHeatkWh (kWh) Annual electric strip heat Used for heat pumps when compressor not meeting load
FanHeatkWh (kWh) amount of energy used by the fan This heat is included in equipheat. The fanheat is equal to the fan input power.
FanHeathrs (hr) total fan run time in heating mode Equals the equipment runtime in heating mode.
RoomCoolkWh (kWh) annual house cooling load Cool which must be delivered to house (conditioned zone)
EquipCoolkWh (kWh) annual cooling equipment output Cool supplied by equipment into duct system. Includes the effects of duct losses and fan heat.
InCoolkWh (kWh) annual cooling equipment input Site energy required to produce equipcool. Includes effects of equip. eff., duct losses, and fan energy.
QLatentkWh (kWh) annual latent load in cooling mode Amount of input energy used in cooling mode to meet latent load
LatentPct % percent of cooling due to latent load
AuxCoolkWh (1 or 0) auxiliary cooling #hrs cooling set point not met 11
Determine energy differences between buildings Need a base case Need one (or multiple) proposed case
Prototype building Building dimensions generally stay the same –
measures such as insulation, duct leakage, equipment change between runs
Example: ex2-windows.xls 2200ft2 Prototype - current average U.S. house size Split level house w/ some second floor space above
garage Double Triple pane window comparison
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Run: label, weather, hourly output Occupancy: thermostat (temperature, time, &
setback), internal heat and moisture gains Equipment: type, size, control strategy Duct: location, leakage, insulation Envelope: areas, volumes, insulation, windows
(including orientation, shading, SHGC) Foundation: type, area, perimeter, insulation Infiltration: ACH for house, attic, and crawl
Definitions in seem92_csv_inout.xls
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Run Label – Descriptive name of particular simulation. Can be used to identify which measures are used in that run.
Weather Name – name of weather file. Ex: IDBoise3 or WASpokane3 uses the TMY3 weather data for those cities.
Hourly Out – flag to produce hourly output for hottest and coldest day in a “.SEEM” file for each run (useful for testing and verification)
OutputMonth and Output Day – user settable output day to be included in .SEEM file
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Theathi – occupied T set point Theatlo – unoccupied/setback set point Hrheathi – hour to start occ. mode Hrheatlo – hour to start unocc. mode Tcoollo, Tcoolhi, hrcoolhi, hrcoollo – similar to above but
for cooling Setback – 1 or 0 to use setback or not
▪ For electric forced air furnace and electric zonal resistance use 66F heating set point w/ no setback (RTF decision, November 2009)http://www.nwcouncil.org/energy/rtf/meetings/2009/11/Default.htm
Typical Thermostat Setup ValuesTheathi Theatlo hrheathi hrheatlo Setback
(F) (F) (hr) (hr) (1 or 0)70 64 6 22 1
Tcoollo Tcoolhi hrcoolhi hrcoollo (F) (F) (hr) (hr) 74 78 9 17
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#1 input to get right in modeling Qgains – internal heat gains (Btu/hr). Sources include:
▪ Lighting – can be a simple calc using LPD and assuming ~2 hrs per day annual use
▪ Appliances – depends on appliances in use▪ People – numbers in ASHRAE Fundamentals▪ Plug loads – largest unknown
Wgains – internal water gains (lbs/hr). Sources include:▪ People, pets, showers, cooking, aquariums, etc.
Effects indoor RH and latent cooling load Suggest 0 or 0.5 lbs/hr 16
Example: ex3-gains.xlsPrototype: 2200 ft2
Envelope: NWBOP1Equipment: Gas Furnace AFUE 90Explore impact of lighting levels on
gains and energy use in Spokane Lighting levels: All incandescent, 50%
CFLs, 75% CFLs, 90% CFLs
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Equiptype – furnace, heat pump, or furnace and A/C combination Internally, SEEM assumes an electric furnace
with COP of 1. To model a gas furnace with AFUE 80, divide inheatkwh output by 0.8.
Common values:▪ Current Codes: 7.7/13▪ EnergyStar: 8.5/13
To get a value not listed in the table, interpolated between independent runs
Furnace A/C Combinations:▪ FYKC, FHPA, FHCA, FYSA
Example: ex4-equip.xls
Heat Pump OptionsLabel HSPF SEERYKC 7.2 10
HPA3 8 13HCA3 7.9 13YSA 9 14.5
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Tons – size of heat pump or air conditioner Typical range: 2-4 tons
▪ If sized too small, more electric resistance auxiliary heat is used and cooling load may not be met.▪ hrsetptmissed output
▪ If sized to large, a part load cycling penalty is incurred Furnsize – elec furnace size in kW.
Input not critical as SEEM will by default provide “missing” heat at COP of 1.
CFMmult – air handler flow multiplier Used model low or high flow and to correct for air
mass flow at altitude (see documentation) Suggest leaving at 1.
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HPcntrl – heat pump control strategy Tcntrl – temperature associated with strategy NW Regional Control Strategies:
Base Case and PTCSHeat Pump Baseline Control Strategy Matrix
Weight HPcntrl Tcntrl Description
0.4 0 30ARI standard control, if you aren't meeting setpoint within
3degF, turn on auxiliary electric
0.15 1 30Compressor lockout if outside temp is below temp (Tcntrl),
turn on electric only.
0.05 2 40Auxiliary heat lockout, compressor runs at reduced capacity
(Tout<Tcntrl)0.15 3 30 strip heat on with compressor if Tout<Tcntrl (30 deg)0.25 3 50 strip heat on with compressor if Tout<Tcntrl (50 deg)
Heat Pump PTCS Control Strategy MatrixWeight HPcntl Tcntrl Description
0.1 0 30ARI standard control, if you aren't meeting setpoint within
3degF, turn on auxiliary electric
0.9 2 40Auxiliary heat lockout, compressor runs at reduced capacity
(Tout<Tcntrl)20
Perfect – (1 or 0) no duct leakage or conduction losses
SDloc, RDloc – supply and return duct location: Attic, Crawl, In, Out
SDarea, RDarea – supply and return duct surface area in buffer spaces
SDRval, RDRval – true R-value of duct insulation. Round duct / flex duct nominal R-value is not true R-value:
Actual R-values of Round Duct R nominal 4.2 6 8 11
Nominal Duct Diameter (in)
Actual Duct Area (ft2 per
ft length)R actual
4 1.05 3.13 4.08 4.97 6.096 1.57 3.41 4.53 5.62 7.038 2.09 3.57 4.8 6.04 7.66
10 2.62 3.67 4.99 6.33 8.12 21
SDLF, RDLF – Supply and Return Duct Leakage Fraction (0-100%).
Typically model supplies in the crawl space and returns in the attic
Manufactured homes typically modeled with no return leaks
Houses with basements typically have reduced duct leakage
Example: ex5-ductlosses.xls
Typical Duct Leakage Values Supply ReturnNW Existing 15% 10%NW New Construction 12% 10%NW EnergyStar (sealed) 6% 3%
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Units: Perimeter, Area, Volume in ft, ft2, ft3
Insulation inputs – overall air-to-air R-value (inverse of the U-value). ▪ Values for walls can often be looked up in code or spec
tables.▪ Super Good Cents Heat Loss Reference Manual▪ ASHRAE Fundamentals Handbook▪ IECC Code Tables
▪ Values for ceilings and floors aren’t as straight forward because SEEM directly calculates buffer space effects
▪ Values can be found in the “docs\” folder of the distribution
SEEM_insulation_lookup_tables.xls23
Afloorcond – house conditioned floor area Volume – house volume Afloorext – floor area over
unconditioned space Rfloorext
Aextwall – gross exterior wall area Rextwall
Aceiling – ceiling area exposed to attic. Sum of Afootprint and Afloorext Rceiling
ABSroof – roof solar absorptivity. Depends on color and cleanness. Suggest 0.85.
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AwinN, AwinE, AwinS, AwinW – window area for each cardinal direction
Uwindow – NFRC U-value for window Example: ex6-windows_5climate.xls
SHGC – NFRC solar heat gain coefficient value Shading – (o to 1) fractional value to account for
shading: External: trees, landscaping, adjacent buildings Internal: and curtains, blinds, furnishings 0.5 – 0.65 is reasonable. Suggest 0.54.
Adoor – total door area Rdoor
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Foundtype – crawl space, slab, unheated basement, heated basement
Afootprint – area of house at grade
Pfloor – perimeter of house at grade
Rfloor – wood floor insulation value between house and crawl space
Rslabins – R-value of insulation underlying entire slab (if slab fully insulated)
Rcarpet – R-value of interior floor finishes
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Edgetype – perimeter slab insulation Horizontal Vertical None
EdgeDepth – depth of edge insulation Typically: 2 ft, 4ft
Redgeins – R-value of edge insulation
SoilCond – site soil conductivity Typically 0.7-0.8 Btu / ftFhr but can
very greatly depending on site Suggest 0.75
Vertical Edge Insulation:
Horizontal Edge Insulation:
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Crawl space or basement wall characteristics HeightAG RwallAG HeightBG RwallBG
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ACHHouse – infiltration in natural air changes per hour Includes natural and fan forced ventilation ERVs can be modeled but adjustments need to be made to
infiltration rate based on equipment efficiency Approximate blower door test conversion:
▪ 7ACH@50Pa / 20 ~ 0.35 ACH natural
ACHAttic – 4.5, typical for vented attic ACHCrawl – 4.5, typical for vented crawl
House ACH ValuesTypical existing stock 0.45
Typical new construction 0.35Energy Star NWBOP1 0.35
WA Code 2010 Proposal 0.3Energy Star NWBOP2 0.2
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Screen output Scrolls by quickly and provides some error
feedback if problems encountered CSV file
Contains all of the runs Definitions in seem92_csv_inout.xls
“.SEEM” File Text file with hourly data for heating and cooling
design day and user selected day. One file per run. Definitions in seem92_hourly_file_description.doc
Hourly data dump Text file containing a years worth of hourly data
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