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Russian Apartment Building Thermal Response Models for Retrofit Selection and Verification. Peter Armstrong Pacific Northwest National Laboratory 2000 ACEEE Summer Study on Energy Efficiency in Buildings August 20-25, 2000 Pacific Grove, CA. Enterprise Housing Divestiture Project Cities.
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Russian Apartment Building Thermal Response Models for Retrofit Selection and Verification Peter Armstrong Pacific Northwest National Laboratory 2000 ACEEE Summer Study on Energy Efficiency in Buildings August 20-25, 2000 Pacific Grove, CA
Essential Program Elements • Understand how (former) Soviet buildingsare operated and determine as-found performance. • Establish audit & metered data collection protocols to estimate and measure thermal performance by building. • Select life-cycle cost-optimal packages of heating retrofits (requires appropriate thermal analysis). • Establish effective, multi-tiered acceptance test protocols, verification & ongoing program evaluation.
space/service water heat source Construction Height Total Total Total Floor both 2 Type (stories) Buildings Apartments Area (m ) gas SWH by gas both DH 89,100 2 family 343 783 193 1,319 1,980 4,138,000 Wood 2 to 4 0 1,945 2,193 4,138 82,760 3,864,000 Brick 2 to 4 75 831 2,958 3,864 77,280 4,6 05,000 Brick 5 0 549 986 1,535 92,100 8,178,000 Panel 5 276 2,450 2,726 163,560 0 1,111,500 Brick 6 to 8 0 0 247 247 22,230 Panel 6 to 8 0 0 0 0 0 0 4,816,000 Brick 9 0 0 688 688 96,320 0 11,886,000 Panel 9 0 1,698 1,698 237,720 1,495,000 Brick 10 to 13 0 0 260 260 29,900 540,500 Panel 1 0 to 13 0 0 94 94 10,810 224,000 Brick 14 & over 0 0 28 28 4,480 336,000 Panel 14 & over 0 0 42 42 6,720 Subtotal 5 & over 0 825 6,493 7,318 663,840 33,192,000 Total All 418 4,384 11,837 16,639 825,860 41,283,100 Over half the 6-city stock is 5- and 9-story panel buildings
U-value of existing walls • Uncertainty about panel composition and thermal properties • Uncertainty about local standards conformance • LCC of wall insulation retrofits are highly sensitive to existing wall conditions • Input to RusFEDS retrofit evaluation program: wall U-value by building type and location
U-value Measurement • Panel wall thickness: 35cm = 14inch • Brick wall thickness: 65cm = 30inch • Huge wall mass requires long time (1-2 weeks) to perform ASTM test • Logistics of field testing in multiple cities requires shorter (~3-day) test period
U-value Analysis • Huge wall mass plus short test duration created potentially large measurement errors • ASTM (steady-state) model could not account for “storage effect” • Simple Regression using conduction transfer function (CTF) model was sensitive to noise and bias errors in time-series (TX, TZ, flux) data • Developed and applied constrained CTF model to derive final U values • See Appendix A
× Median Standard Handbook Density k k = t U eff - 2 - 1 - 3 - 1 - 1 - 1 - 1 (Wm K ) Error N Material (kg m ) (Wm K ) (Wm K ) Orenburg Panel 2.76 0.97 0.79 21 Concrete 1920 0.9 - 1.3 Petrozavodsk Gable 1.31 0.46 0.96 12 LDA concrete 1200 0.42 - 0.53 Petrozavodsk Panel 2.66 0.93 0.76 7 Concrete 1920 0.9 - 1.3 Ryazan Panel 3.81 1.33 1.14 12 Concrete 2080 1.0 - 1.9 Zhukovskij Panel 1.95 0.68 0.46 32 LDA concrete 1440 0.58 - 0.74 Orenburg Brick 4.27 2.78 0.48 4 Brick & mortar 2080 - 2160 1.2 - 1.5 Petrozavodsk Brick 4.74 3.08 1.12 4 Brick & mortar 2080 - 2160 1.2 - 1.5 Ryazan Brick 4.85 3.15 1.03 15 Brick & mortar 2080 - 2160 1.2 - 1.5 Orenburg Floor 3.24 See text 3.64 9 20 - cm air gap See text Ryazan Floor 19.62 2.94 1.82 2 Concrete 2400 1.4 - 2.9 Orenburg Attic 22.64 3.40 6.06 4 Concrete 2400 1 .4 - 2.9 Ryazan Attic 18.75 2.81 NA 1 Concrete 2400 1.4 - 2.9 Materials corresponding to measured conductivities
Whole Building Thermal Performance • Two identical 5-story, 60-unit buildings in Ryazan: Zubkova 22/1 and 24/3 • Measured hourly heating water, hot and cold service water (referenced to sewer T) • Hourly gas and electric use and weather • Control of heat supply to 22/1 and 24/3 is very different
Heat Input & Average Temperature in Zubkova 24/3
Deviation of Simulated from Measured Heat Input
Thermal Parameters Derived from Model Coefficients: Metabolic Heat Rate, Solar Gain Coefficient, Wind-Infiltration Coefficient, and UA
Bathroom Vent Riser Temperature Compared to Average Building Temperature