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SEEM Tool Overview

SEEM Tool Overview. Regional Technical Forum Member Orientation January 22, 2013. What is SEEM?. Hourly energy simulation model Calculates annual building heating and cooling energy use Developed specifically for single family residential buildings

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SEEM Tool Overview

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  1. SEEM Tool Overview Regional Technical Forum Member Orientation January 22, 2013

  2. What is SEEM? Hourly energy simulation model • Calculates annual building heating and cooling energy use • Developed specifically for single family residential buildings • Single zone model (treats the conditioned space as one big room) • Also appropriate for small-scale multi-family construction including townhouses and 3-5 story flats

  3. Where did SEEM come from? • Ecotope • Authors • Larry Palmiter started developing it in 2003; • Ben Larson took over in 2008; • Michael Logsdon in 2011. • Funded by • NEEA and the Council, initially • Further enhancements by USDOE, BPA, NEEA, and RTF

  4. Why the RTF uses SEEM • Allows direct simulation of heating and cooling measures • Insulation and heat loss rate • Building HVAC equipment • Heat pump • A/C • Ducting sealing • Delivery efficiency • Parameterize measures for comparison in conservation supply curves • Direct calibration to empirical field data and lab testing

  5. SEEM’s Differentiating Features • Empirically derived heat pump performance maps • Multiple control strategy possibilities • Full duct model include losses to and regain from buffer spaces • Ground contact heat transfer based on ISO standard handles many types of construction and insulation • Full ventilation model that deals with air balance within zones, stack effect, and mechanical ventilation • Input and output via CSV file allows for large parametric studies and flexible analysis

  6. Inputs (in general) • Weather • Thermostat Settings • Internal Gains • Heating System Characteristics • Duct Leakage and Insulation Levels • Building Component Areas and R/u-values • Foundation Characteristics • House Leakage Rate

  7. How SEEM Runs are Analyzed • In general, for each measure • Each prototype has its own set of pre-determined “fully weatherized” SEEM inputs • Very few (one or two) SEEM inputs are changed to create a pre- and post- run • Savings are calculated for all iterations of prototypes, climate zones, and sometimes heating system types, and weighted appropriately. Depending on the number of measures, the number of SEEM runs can get huge (especially with heat pumps) • Standard Prototypes • Single Family • 1344 ft2 on crawlspace; 2200 ft2 on crawlspace; 2688 ft2 on basement • Manufactured Homes… • Multifamily… • Climate Zones • Portland, Seattle, Spokane, Boise, Kalispell

  8. SEEM Calibration • Goal: Calibrate model using input assumptions that match real-world billing data. (Guidelines Requirement) • Calibration: Where disagreement between SEEM and Real-World, turn ONLY the “knobs” that apply. • Example: Single Family Weatherization SEEM Runs Calibration • Billing Data from 3 studies. • Result: Adjusting SEEM inputs for the heating temperature setpoints to the following resulted in a reasonable match: • Heat Pumps and Gas FAF: • 70 degrees daytime; 64 degree night setback • Justification: Allows modeling of a night time setback for heat pumps (strip heaters), also takes into account similar economics of running Gas FAF and heat pumps • Electric FAF and Zonal Electric: • 66 degrees day and night • Justification: Zonal electric: takes into account zoning (lower average house temperature); Electric FAF: factors in occupant’s ability to turn on/off heating system • Example: GSHP SEEM Runs Calibration • Billing/metered data from 1 study (Missoula) • Result: A reasonable match was achieved without making adjustments to the SEEM model.

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