ASHRAE

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ST-16-014 (RP-1633) — Data and Interfaces for Advanced Building Operations and Maintenance
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ST-16-015 — Improving Variable-Speed Pumping Control to Maximize Savings
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ST-16-016 — Simulated Energy-Efficient Voltage-Frequency Ratios of Variable-Frequency Drives on Induction Motors
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ST-16-017 — Performance Analysis of a Ground-Source Heat Pump System Using Mine Water as Heat Sink and Source
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ST-16-018 — A Simulation-Based Study on Different Control Strategies for Variable-Speed Pumps in Distributed Ground-Source Heat Pump Systems
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ST-16-019 (RP-1561) — Mesoscale Climate Modeling Procedure Development and Performance Evaluation
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ST-16-020 — Modeling and Testing Multiple Precooling Strategies in Three Residential Building Types in the Phoenix Climate
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ST-16-022 — Melting of PCM with Nanoparticles in a Triplex-Tube Thermal Energy Storage System
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ST-16-023 — Modeling Airflow through a Perforated Duct
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ST-16-024 — Low Evaporator Airflow Detection Using Fan Power for Rooftop Units
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ST-16-025 — Characterizing the Performance of Fixed-Airflow Series Fan-Powered Terminal Units Using a Mass and Energy Balance Approach
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ST-16-026 — Using a Mass and Energy Balance Approach to Model the Performance of Parallel Fan-Powered Terminal Units with Fixed-Airflow Fans
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ST-16-027 — Technical Assessment of Ground-Source, Air-Source, and Hybrid Heat Pumps for Single-Family Buildings in Cold Climates
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ST-16-C001 — Modeling and Analysis of Bubble Pump Parameters for Vapor Absorption Refrigeration Systems
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ST-16-C002 — Experimental Investigation on the Surface Tension of LiBr/H2O Solutions with Additives at Low Pressure
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ST-16-C003 — Experimental Study on Ventilation Requirements of Exhaust Hoods for Multiple Cooking Appliances
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ST-16-C004 — Analysis of Contaminant Flow Path and Laboratory Ventilation Effectiveness
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ST-16-C005 — A Hybrid Turbulence Model Coupling Strategy for CFD Simulation of a Data Center Model
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ST-16-C007 — Development and Testing of Building Energy Model Using Non-Linear Auto Regression Neural Networks
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ST-16-C008 — Gaussian Process Baseline Regression Models in Industrial Facilities
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ST-16-014 (RP-1633) — Data and Interfaces for Advanced Building Operations and Maintenance

ST-16-015 — Improving Variable-Speed Pumping Control to Maximize Savings

ST-16-016 — Simulated Energy-Efficient Voltage-Frequency Ratios of Variable-Frequency Drives on Induction Motors

ST-16-017 — Performance Analysis of a Ground-Source Heat Pump System Using Mine Water as Heat Sink and Source

ST-16-018 — A Simulation-Based Study on Different Control Strategies for Variable-Speed Pumps in Distributed Ground-Source Heat Pump Systems

ST-16-019 (RP-1561) — Mesoscale Climate Modeling Procedure Development and Performance Evaluation

ST-16-020 — Modeling and Testing Multiple Precooling Strategies in Three Residential Building Types in the Phoenix Climate

ST-16-022 — Melting of PCM with Nanoparticles in a Triplex-Tube Thermal Energy Storage System

ST-16-023 — Modeling Airflow through a Perforated Duct

ST-16-024 — Low Evaporator Airflow Detection Using Fan Power for Rooftop Units

ST-16-025 — Characterizing the Performance of Fixed-Airflow Series Fan-Powered Terminal Units Using a Mass and Energy Balance Approach

ST-16-026 — Using a Mass and Energy Balance Approach to Model the Performance of Parallel Fan-Powered Terminal Units with Fixed-Airflow Fans

ST-16-027 — Technical Assessment of Ground-Source, Air-Source, and Hybrid Heat Pumps for Single-Family Buildings in Cold Climates

ST-16-C001 — Modeling and Analysis of Bubble Pump Parameters for Vapor Absorption Refrigeration Systems

ST-16-C002 — Experimental Investigation on the Surface Tension of LiBr/H2O Solutions with Additives at Low Pressure

ST-16-C003 — Experimental Study on Ventilation Requirements of Exhaust Hoods for Multiple Cooking Appliances

ST-16-C004 — Analysis of Contaminant Flow Path and Laboratory Ventilation Effectiveness

ST-16-C005 — A Hybrid Turbulence Model Coupling Strategy for CFD Simulation of a Data Center Model

ST-16-C007 — Development and Testing of Building Energy Model Using Non-Linear Auto Regression Neural Networks

ST-16-C008 — Gaussian Process Baseline Regression Models in Industrial Facilities