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Variable Capacity Heat Pump RTF Sub-Committee August 28 , 2013. Mira Vowles, P.E., CEM Emerging Technology Project Manager BPA Energy Efficiency. Meeting Topics. VC HP Overview ( M ira) VRF System ECAM Analysis (Eva) Load Based Testing (Ron) ASHRAE HQ VRF System (Ali)
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Variable Capacity Heat Pump RTF Sub-CommitteeAugust 28, 2013 Mira Vowles, P.E., CEM Emerging Technology Project Manager BPA Energy Efficiency
Meeting Topics • VC HP Overview (Mira) • VRF System ECAM Analysis (Eva) • Load Based Testing (Ron) • ASHRAE HQ VRF System (Ali) • Plus if time allows: • Other VRF research projects (all) • Suggestions for future meetings (all)
Variable Capacity Heat Pumps (VC HP = VRF + DHP) + Variable Refrigerant FlowHeat Pump System Ductless Heat Pumps
Variable Refrigerant Flow (VRF) Systems • VRF systems, either heat-pump or heat-recovery models, provide heating and air-conditioning, with: • Inverter driven outdoor-unit compressors and condenser fans, providing improved part-load and low-ambient performance, • Multiple indoor-units with multi-speed fans, electronic expansion valves and integrated thermostats, • 3. Refrigerant piping network for heat transfer, • Integrated control system, and • Ventilation provided by VRF system, natural ventilation or a dedicated outside air system (DOAS).
VC HP Sub-Committee • Sub-Committee of the Regional Technical Forum (RTF) • 2. Purpose: develop and recommend VC HP measures with • high consensus methodology to estimate and verify electrical savings • specification for cost effective installations that ensures persistent savings • 3. Minutes and presentations are posted at: http://www.nwcouncil.org/energy/rtf/subcommittees/vchp/Default.htm
Sacramento Drill Tower Data BEFORE AFTER
BPA ECAM Analysis • Energy Charting and Metrics tool • FREE Excel Add In • available at: http://www.pnl.gov/buildingretuning/ecam.stm • IPMVP-Option C regression modeling of • Monthly energy data • Average monthly temperature (primary variable) • Pre & post models of kWh/day vs. average monthly temperature • ECAM model statistical validation metrics • CV(RMSE) or Standard Error % >20% • Fractional Savings Uncertainty <50% • Residuals • R2 > 75% • Net Determination Bias <0.005%
VRF System ECAM Analysis • Eva Urbatsch, BPA
Sacramento Drill Tower Raw Data (VRF system installed in June of 2008) NAG kWh = natural gas therms, converted to kWh
Forensic Data Analysis These points occurred July-Oct 08 (immediately post-install) and May-June 09
Sacramento Drill Tower Energy Use for a “normal” year Baseline: 374,405 kWh Post: 157,511 kWh Savings: 216,894 kWh
Conclusions • There is a VRF system startup learning curve! • Natural gas savings ~94% of baseline • Electricity savings ~20% of baseline • Total savings ~58% of total energy use
Load Based Testing • Ron Domitrovic, EPRI
ASHRAE HQ VRF System • Ali Beglar, Daikin
Next Meeting: 9/25/13 at 10 am • Potential topics: • Other VRF research projects (all) • Suggestions for future meetings (all)