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Model-based virtual sensors for room heat metering and energy ...

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have also an increased complexity that renders it harder to analyse the building’s per<strong>for</strong>mance.Analysing a building’ <strong>energy</strong> consumption down to <strong>room</strong> level requires a high amount ofmeasurement equipment, such as <strong>sensors</strong> <strong>and</strong> meters in each single <strong>room</strong>. There<strong>for</strong>e, detailed buildingper<strong>for</strong>mance analysis is often hampered by high monitoring cost, <strong>and</strong> practitioners often requestalternative cost-efficient methods (Jagemar, L. <strong>and</strong> Olsson, D., 2007).This paper develops an estimation algorithm in Section 3 to analyse building’s <strong>energy</strong>consumption down to <strong>room</strong> level. The algorithm is adjustable in its in<strong>for</strong>mation intake to differentsensing <strong>and</strong> <strong>metering</strong> equipment available in a building, providing a flexible usage with roughestimations using few <strong>sensors</strong> to detailed computations using a high density sensing deployment. Thealgorithm can be used <strong>for</strong> offline data analysis <strong>and</strong> <strong>for</strong> online monitoring as a so-called <strong>virtual</strong> sensor(a model-<strong>based</strong> sensor) to estimate the <strong>heat</strong> flows in <strong>room</strong>s. Section 4 uses the algorithm’s output <strong>and</strong>compares it to the reached user com<strong>for</strong>t level to evaluate actions improving the building’s <strong>energy</strong>consumption. Both approaches provide a broad set of per<strong>for</strong>mance metrics to support buildingper<strong>for</strong>mance analysis, monitoring, <strong>and</strong> optimisation (Augenbroe, G. <strong>and</strong> Park, C.-S., 2005).The approach is validated using the ERI building as an existing low-<strong>energy</strong> building with a hybridHVAC system that is introduced in the next section.2 The Environmental Research Institute buildingThe Environmental Research Institute (ERI) is a 4500 m² low-<strong>energy</strong> building, located in the maincampus of University College Cork. The building is used as “Living Laboratory” by the In<strong>for</strong>maticsResearch Unit in Sustainable Engineering (IRUSE) <strong>and</strong> the Irish strategic research cluster ITOBO(ITOBO, 2007) to serve as a full-scale test bed <strong>for</strong> Intelligent Buildings demonstrating buildingper<strong>for</strong>mance concepts (Keane, M., 2005).CoolingCircuits P-12SolarThermalArrayHotWaterGas-firedBoilerHeat PumpUnderfloorHeatingPumpP-7MMeter HPMeter FH MUnderfloorHeatingManifoldsWater from culverttoriverFigure 1. High Level Schematic of the Mechanical System <strong>for</strong> the ERIThe building is equipped with a wireless sensor network of about 100 devices <strong>and</strong> a wiredBuilding Management System (BMS) system consisting of about 180 <strong>sensors</strong> <strong>and</strong> meters that monitorindoor <strong>and</strong> outdoor conditions. The ERI covers various HVAC requirements <strong>for</strong> laboratories, clean<strong>room</strong>s, cold stores, offices, open offices, <strong>and</strong> seminar <strong>room</strong>s used by multiple research groups frombiologist, chemist, engineers, <strong>and</strong> computer scientists.The building is <strong>heat</strong>ed by an under-floor <strong>heat</strong>ing system that is primarily supplied by a geothermal<strong>heat</strong> pump that taps into a water supply fed from a culvert running adjacent to a nearby river. Thewater is pre<strong>heat</strong>ed by <strong>heat</strong> recovered from the cold stores <strong>and</strong> <strong>heat</strong> generated by the solar thermalarray. The under-floor <strong>heat</strong>ing operates at a maximum temperature of 40ºC. A condensing gas boiler

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