Equipment Efficiency Analysis

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Presentation transcript:

Equipment Efficiency Analysis Chelmsford, UK

Green BIM & Sustainable Design Validation & Prediction UK Chelmsford Office Validation Study Currently using equipment installed in 2006 Performance Comparison with 2011 Equipment City Multi R2 system vs a fancoil system with heat recovery

Green BIM & Sustainable Design Existing Building Purpose built office 5 City Multi R2 Outdoor units and 25 indoor units 2 Lossnay heat recovery units providing fresh air Monitored consumption data for an annual period

System Layout Ground Floor Systems: Olive and Yellow Mitsubishi Lossnay Fresh Air Heat Recovery Unit

System Layout First Floor Systems: Magenta, Blue, Green Mitsubishi Lossnay Fresh Air Heat Recovery Unit

Building Simulation Inputs Weather Data (London) Calendar of occupation Internal Conditions Infiltration Occupancy Gain Equipment Gain Fresh Air Requirement Construction details

HVAC Simulation Inputs Air Side Schematic Plant Side Schematic

Manufacturer Data Import Dedicated import function brings manufacturer data into Tas Tas matches sized systems components to manufacturer-specific equipment Exchanges system component data with manufacturer-level detail for accurate simulation

Building Simulation Results Hourly Building Demand 3D Results Visualisation First Floor – Hourly Sensible Load Results First Floor - Sensible Load - Day 50, Hour 12

Mitsubishi Lossnay Heat Recovery: Usage Hours

HVAC System Consumption Comparison: 2006 Equipment Simulated Consumption (installed equipment) Measured Consumption

Summary & Conclusion Summary: Conclusion: The 2011 equipment shows a 34.6% improvement on simulation of the installed 2006 equipment. Annual Consumption (kWh) Annual Cost (£) Improvement (%) Installed Equipment: Measured (2006) 46,821 3,277 - Installed Equipment: Simulated (2006) 42,494 2,982 Replacement Equipment: Simulated (2011) 27,810 1,947 34.6% Conclusion: Detailed simulation of building and plant leads to simulation consumption figures indicative of those seen in the real world application. ‘Good enough’ qualitative agreement between the predicted & measured data to make sound future predictions

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