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Making real-time operational control of buildings a reality with 3D simulation


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IES Project Manager, Catherine Conaghan, presented on the EINSTEIN & Energy in Time projects at the All Energy Conference 2016.

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Making real-time operational control of buildings a reality with 3D simulation

  1. 1. Making real-time operational control of buildings a reality with 3D simulation Catherine Conaghan Project Manager, Integrated Environmental Solutions Ltd. All-Energy 2016 - Sustainable and Smart Cities Conference, May 4-5, Glasgow
  2. 2. Company Background • Founded 1994 with HQ in Glasgow; • Offices worldwide; • Focused on delivering sustainable solutions from building to city- scale; • Main software: – IES-VE (Building simulation) – IES-ERGON (Building operations)
  4. 4. Building Operations Programme Projects focused on creating a set of tools which will significantly improve building operational efficiency and management by incorporating real-time data and advanced simulation feedback. • Energy in Time (FP7, 2013-2017) Simulation based control for Energy Efficiency operation and maintenance – IES’s role is the development of highly calibrated simulation-based building models, which can used in near-real time for automated control optimisation and decision making • EINSTEIN (FP7, 2014-2017) Simulation Enhanced Integrated Systems for Model-based Intelligent Control(s) – In conjunction with Trinity College Dublin, IES’s role is in the development of automated prediction, optimization and fault detection algorithms for integration with the IES software for building performance optimization
  5. 5. Building Operations Programme These projects are developing a set of integrated prototype tools to achieve advanced Real-Time Operational Control of Buildings using 3D Simulation at the core. Virtual Auditing App Web-based BMS Data Acquisition Automated Fault Detection Real-time Building Prediction & Optimisation Real-time Calibrated Operational Model 3D Simulation Model Building 2 3 1 4 5 6
  6. 6. 1. Virtual Audit App  Android application for comprehensive building auditing  Drives user to prioritise data required for building model/auditing  Novel tagging and photo-tagging functionality  Schedules, equipment database  All data collected and aggregated in a single report  Compatible with IES <VE> data requirements
  7. 7. 2. IES <VE> 3D Simulation Model  Full 3-D Energetic and Thermodynamic dynamic simulation models  Energy in Time demo sites and models: 1. Faro - Airport (Portugal) 2. ICPE - Office Building (Romania) 3. Levi – Hotel (Finland) 4. Sanomatalo – Commercial and Office Building (Finland)
  8. 8. 3. Web-Based BMS Data Acquisition  IES SCAN Web Tool (Ergon)  Collects live data from the building BMS  Web-based interface for visualistion, error- checking, interpolation etc.  Provides accurate building profiles to replace standard profiles in simulation models (calibration)
  9. 9. 4. Continuous Calibration of Energetic Models Automation of the calibration process is required to: 1. Speed up the process and reduce the manual intervention required 2. Improve the results of the calibrated model when compared with the actual building performance (model performance evaluation – M&V) 3. Allow for continuous calibration of the model as the building changes through-out its life-cycle for use in MPC  Building energy models may be used in all phases from design to commissioning and operation. For operational use, there is a need to address any discrepancies between design performance and actual performance;  Building Model Calibration is the process of improving the accuracy of simulation models to reflect the as-built status and actual operating conditions;
  10. 10. 5. Automated Fault Detection Knowledge / Rule-based: uses expert user experience Data-driven: uses historical building data, Statistical Methods, Empirical Data, Machine Learning Model-based; uses a calibrated detailed system model
  11. 11. 6. Real-Time Control - Prediction / Optimisation  Prediction algorithms are required in order to determine future trends over short control time-frames based on historic data;  Control Scenarios: Prediction profiles, in conjunction with detailed calibrated simulation models are used to derive building performance predictions for a range of control scenarios;  Optimisation algorithms are used to determine the best course of action for a given set of objectives (e.g. Minimise cost / CO2) and constraints (ensure all zones within comfort threshold)
  12. 12. Benefits of Approach  The tools will allow for real-time comparison of the actual building performance against very highly calibrated virtual building models (beyond what is currently capable through today’s best practice standards i.e. IPMVP).  Greater accuracy than currently possible when identifying faults and real-time inefficiencies, and predicting effectiveness/ROI for retrofit and energy conservation improvement measures.  Building Design considered in optimized operation  Allows for intelligent prediction of what controls settings will to keep the building operating at maximum efficiency/minimum cost based on future weather and usage predictions.  Calibrated Models can be used for accurate Retro-Fit and Energy Conversation Measure assessment
  13. 13. Future Work  Prototypes of all elements have been developed and tested at least in a simulation environment.  Remaining work for 2016/2017 will focus on integration and demonstration in real buildings in locations across the EU.
  14. 14. Thank you! Catherine Conaghan Project Manager, Integrated Environmental Solutions Ltd. Email: Web: All-Energy 2016 - Sustainable and Smart Cities Conference, May 4-5, Glasgow