Does vaporative Cooling Make Sense in Arid Climates? xplores the trade-off between water use and energy savings, using three different water alternatives by employing energy and cost analyses of small-scale evaporative cooling technologies. 45 4 WI (L/KWh savings) COP(-) 35 3 25 2 15 WI ( DTWB= 6.2) WI ( DTWB= 5) WI (DTWB= 13.8) WI (DTWB= 21.8) 1 5 15 2 25 3 35 4 45 5 Outdoor Dry-bulb Temperature ( C) COP Dry WI SL (DTWB 22.2) WI SL (DTWB 11.1) WI SL (DTWB 8.3) WI SL (DTWB 5.6) WI SL (DTWB 2.8) WI xperimental Data Point COP Dry xperimental Data Point Water nergy Index (WI) xperimental data collected from retrofitted 4-ton York RTU air cooled condensing unit with flow rate of.13 cubic meter per second per kw cooling used to calculate WI. WI includes: volume of water for evaporation and an additional 15% maintenance water: WI=W L / L 1.15 L W L [ ] = (W kwh Sat. W in ) Q c Cooling Water Consumption ρ air ρ water hr 36 s L kwh lectricity saving = 1 1 kwh Cooling COPBase COPPre cool Normalized lectricity Savings
Does vaporative Cooling Make Sense in Arid Climates? nergy Base Analysis Desalination produces 8-28 liters of potable water for 1 kwh consumed vaporative cooling consumes 9-4 liters of water per 1 kwh saved quivalent to getting back 2-3 kwh for investing 1 kwh (electricity multiplier) Desalinization can operate at night and evaporative cooling reduces peak demand during the day conomic Assessment Desalination rate $1.65 per 1 liters produced lectricity costs of $.8-$.37 per kwh $1 in desalination water yields $1.2-$25 in electricity cost savings, depending upon the technology employed and the local cost of electricity Demand Response with vaporative Pre-Coolers vaporative pre-coolers provide the largest impact at peak demand times Water use efficiency is highest at peak times Planning project to test evaporative pre-cooler response time
Multi-Tenant Light Commercial Modeling The MTLC prototype building was modeled with 18 variable parameters The parametric analyses consisted of approximately 5, simulations Parameter Baseline Best RTU fficiency COP = 2.9 COP = 6 vaporative Pre-Cooler No Yes HVAC conomizer No Yes Cool Roof No Yes Windows Skylights Lighting Daylight Harvesting Control System SHGC =.38 U-Factor = 4.88 None Linear fluorescent T8 lighting LPD (retail) = 1.14 W/sf None SHGC =.25 U-Factor = 3.236 SHGC =.8 U-Factor = 3.24 LD LPD =.87 W/sf Continuous dimming Modeled building Monthly nergy Use (kwh) 3 25 2 15 1 5 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec lectricity Savings [kwh] 9 8 7 6 5 4 3 2 1 lectricity Savings from Duct Sealing COP 2.9 COP 4.1 COP 5 COP 6 Total lec Total lec. Baseline Heating Gas Total Heating Baseline Avg Ceiling Ins. No Ceiling Ins. The parameters that were common among the top 1 performing configurations saves 27% electricity annually over the baseline configuration.
A New Termination Control Method for a Clothes Drying Process in a Clothes Dryer Clothes Dryer Testing Diagram OUTDOOR AIR HATING COIL DO estimates that energy savings Pressure Relief NVIRONMNTAL CHAMBR COOLING COIL between 4 62% are possible with improved dryer controls XHAUST T cab T out,air T out Fan DRYR DRUM T cab T room RH DRUM Achieving 2% savings in natural gas dryers with 1% market penetration would save 6 million therms annually in California T cab T in WCC testing has shown that typical INLT AIR BURNR V gas natural gas dryers run with inlet temperatures above 3 F and a significant amount of the air bypasses the burner WCC Laboratory Findings Control Scheme Proof of Concept 35 3 18 25 15 Temperature ( F) 2 15 1 Temperature ( F) 12 9 6 5 3 1 2 3 Time (min) 4 5 6 Time (min) 13 Inlet Air ( F) Outlet Air ( F) Mixed Inlet Air ( F) Inlet air temperature Outlet air temperature Clothes surface temperature Researchers at Hong Kong Polytechnic University (Ah Bing Ng, Shiming Deng, 28) have demonstrated control scheme proof of concept in a laboratory setup
Performance valuation of a Thermal Storage Solution Using ice to store thermal potential WCC tested a thermal storage solution in our environmental control chamber, and used the results to suggest design improvements and build a predictive performance model. The predictive model was used to estimate performance for a next generation thermal storage solution Successful completion of the tests is an example of the breadth of WCC s expertise in energy efficient technologies T, DB T CONDNSR P,T TXV IC BOX T IC T IC COMPRSSOR RH Q, cond T DB HX2 RCIVR RCIVR T WATR P,T T IC T IC T WATR Water Pump LGND P = Pressure, Refrigerant Refrigerant Pump HX1 T = Temperature, Refrigerant Q = Flow RH = Relative Humidity = Power Sight Glass Sight Glass T DP = Dewpoint Temperature T DB = Dry Bulb Temperature P,T P,T T IC = Ice Temperature T WATR = Water Temperature = Sensor T DP T DB VAPORATOR Q evap T DB T DP Laboratory testing diagram
Performance valuation of a Thermal Storage Solution Using ice to store thermal potential Predicted Annual R R 16 14 12 1 8 6 4 2 CZ 11 CZ 12 CZ 13 CZ 14 3-ton Ice Storage System SR 16 Split System SR 13 Split System Predicted Annual Daytime kwh Use kwh 25 2 15 1 5 CZ 11 CZ 12 CZ 13 CZ 14 3-ton Ice Storage System SR 16 Split System SR 13 Split System
High Performance Waste Heat Recuperators for Heat Recovery Cycles Motivation and Challenges Waste heat recovery in ships can lead to enhanced efficiency and longer times between refueling. There has been recent interest in sco2 cycles for power generation and waste heat recovery. Challenge is in designing a reliable recuperator, Cyclic operation Corrosion Low pressure drop designs needed Problem Statement Design a low pressure drop recuperator for sco2 waste heat recovery cycle while running in system pressure as high as 2 bar (3 psi) for a large naval ship. Benefit to US Navy Novel recuperator designs for high pressure sco2 waste heat recovery cycle using Additive Manufacturing: High effectiveness recuperator Compact Low pressure drop on exhaust side No weld/braze joints in AM- potentially more reliable Heating Compressor SCO 2 Turbine Cooling
High Performance Waste Heat Recuperators for Heat Recovery Cycles Low temperature exhaust gases to atmosphere Hot exhaust gases from Generator Variation of recuperator length and pressure drop of exhaust gases with sco2 exit temperature based on the model developed for designing the recuperator