BRE: Energy Management of Buildings & Renewable Energy Systems using BIM

Transcription

1 BRE: Energy Management of Buildings & Renewable Energy Systems using BIM Nick Tune Director BRE, BuildingSMART UK & International Part of the BRE Trust

2 Energy Performance Gaps: The Need for a user in the loop intelligent Solution The Challenge

3 The Building in its Environment Model of the Interaction of the Building with the Environment and Users Climate Geology Context Urban Context Internal Processes e.g. Occupancy Dynamic (Real-time) Self-organizing (Self-updating)

4 Role of Digital Technologies Space Usage Monitoring Lighting Monitoring White goods usage monitoring (temperature, humidity, etc.) Environmental data Sensors (temperature, humidity, etc.) Smart, added-value Building Components Windows / Doors Sensors (opening / closing operations) Smart Metering Building Ontology Smart Energy Reporting Interface

5 Approach to realise energy savings We adopt a semantic approach to energy optimisation Enhanced version of BIM is augmented with energy saving rules Real time account of the buildings performance is interpreted via the BIM to suggest energy optimisation strategies BIM is no longer static model conveying info it becomes a dynamic knowledge base that informs FM to make energy optimisation decisions 5

6 Two complementary approaches to energy saving Real World Sensors Energy Model Historical Data Scenario Definition Mining Database Predictive Rules Sensitivity Analysis Simulation -based Rules Dynamic Ontology Historical Data approach: More accurate representation of a building through its metered data Restricted by monitored data Lack of understanding of the building energy phenomena Real Time Control and Actuation Simulation approach: Holistic coverage of the building energy equation Acute understanding of governing variables and parameters Energy baseline data

7 RT Controller Semiautomatic Process Rules Fuzzy RT Reasoning Module Rule / Inference Engine over SWRL Rules Jess SWRL Rule Engine Bridge New Facts and (DL Safe) Rules KnoholEM -Architecture OWL Knowledge Base + SWRL Rules (Rule Base) Optimization results benchmarking Demo Objects Energy Model Current Rules Data Mining Engine Knowledge Specific KB (building) Rule calibration Process Variable Oriented Energy Simulation Data Sets Querying for EE energy anomalies and new instances (building behavior) (SPARQL) Aligned Data Learning from data (ANN) Mapper SPARQL Endpoint Engine SPARQL Queries (over HTTP/ SOAP) RDF Triple/Quad Store Mining Database GUI Action Suggestions Energy simulation generated datasets from identified sensitive variables 7 possible range values BMS Control Interface Fuseki Results (RDF/XML, N-Triples) Controller retrieves RT Data (last updates) RDBMS Controls New set-points to BMS Metering Historical Data updated with frequency: 5, 10 or 15 minutes BMS Building Readings from sensors and set-points

8 Occupant Interface Activity Modeller 8

9 FM Interface Monitoring and Control 9

10 Buildings being trialled Forum Extra Care unit Holland University The Hague, Holland Blue Net office, Seville Ideas office, Seville Media TIC office Barcelona 10

11 Use of ICT to improve the generation and usage of renewable energy across a smart grid

12 Little White Alice, Cornwall Taken learning from previous projects to deliver a solution to small estates of buildings Energy Minimisation and Renewable Energy Optimisation 12

13 BRE & Cardiff Estate Energy Optimisation Control Diagram Interface Information

14 BRE & Cardiff Estate Energy Optimisation Control Diagram Interface Information

15 BRE & Cardiff Estate Energy Optimisation Control Diagram Interface Information Three Key Outputs Priority Graph, Power & Min Time Energy Demand/Supply predicted = Minimum Run Time = Priority/Time Graph = Must Run System Priority +2.3 KwH 15 minutes This tells master logic how much energy to expect based on user input/weather/past performance of that system. Renewables add power, systems draw power Should Run Could Run Run if Necessary Must Not Run 0 mins 6 hours Time

16 BRE & Cardiff Estate Energy Optimisation Control Diagram Interface Information Three Key Outputs Priority Graph, Power & Min Time Energy Demand/Supply predicted = Minimum Run Time = Priority/Time Graph = Must Run Should Run Could Run Run if Necessary System Priority +2.3 KwH 15 minutes Must Not Run 0 mins 6 hours Time This tells master logic the minimum time it must run after activation (effectively how long it will be a must run priority if the master logic tells it to start)

17 BRE & Cardiff Estate Energy Optimisation Control Diagram Interface Information Three Key Outputs Priority Graph, Power & Min Time Energy Demand/Supply predicted = Minimum Run Time = Priority/Time Graph = Must Run System Priority +2.3 KwH 15 minutes This tells master logic the priority over time 0 for Must Not Run, 1 for Must Run, with steps in between Should Run Could Run Run if Necessary Must Not Run 0 mins 6 hours Time

18 BRE & Cardiff Estate Energy Optimisation Control Diagram Interface Information

19 BRE & Cardiff Estate Energy Optimisation Control Diagram Produces predictions for Energy Supply & Demand over Time 2.0 kw 1.5 kw 1.0 kw 0.5 kw Energy Levels First Master Logic maps Must Run energy load over time 0 kw 0 mins Time

20 BRE & Cardiff Estate Energy Optimisation Control Diagram Produces predictions for Energy Supply & Demand over Time Then it maps Should Run energy load over time on top Energy Levels 2.0 kw 1.5 kw 1.0 kw 0.5 kw 0 kw 0 mins Time

21 BRE & Cardiff Estate Energy Optimisation Control Diagram Produces predictions for Energy Supply & Demand over Time Then lower priorities over that Energy Levels 2.0 kw 1.5 kw 1.0 kw 0.5 kw 0 kw 0 mins Time

22 BRE & Cardiff Estate Energy Optimisation Control Diagram Produces predictions for Energy Supply & Demand over Time Then predicted energy generation is mapped on top of that Energy Levels 2.0 kw 1.5 kw 1.0 kw 0.5 kw 0 kw 0 mins Time

23 BRE & Cardiff Estate Energy Optimisation Control Diagram Produces predictions for Energy Supply & Demand over Time In essence, the Master then triggers devices under the curve or ANY Must Run commands Energy Levels 2.0 kw 1.5 kw 1.0 kw 0.5 kw 0 kw 0 mins Time

24 Thank you for listening