Intelligent Services for Building Information Modeling

Transcription

1 Intelligent Services for Building Information Modeling Athens, C.A. Balaras, NOA Energy in Buildings 2013, ASHRAE Hellenic Chapter & Technical Chamber of Greece Athens, November 9,

2 What is BIM? Building Information Modeling Generation of management of a digital representation of physical & functional characteristics of a building. The resulting model becomes a shared knowledge resource for information about a facility forming a reliable basis for decision-making over its life-cycle (from conceptual stages, through design, construction, operational life before its eventual demolition) (National BIM Standard Initiative ) CAD software commonly assign three main features to BIMs: o ability to manage, store, share & exchange data (files or database); o object oriented building model controlled by parametric rules (change to any part of the design automatically reflects to all other parts); o ability to link data model to various types of analysis tools throughout building lifecycle.

3 What is BIM? We can carry information downstream all the way through to the operation and maintenance phases of the building's life-cycle Brian Skripac, BIM Technology Manager for DesignGroup, Columbus, Ohio

4 Who can benefit? Different benefits to the members of Building design & construction teams can optimize their work Move beyond 3D visualizations, Adding project time planning (4D) to visualize the entire construction sequence, Incorporating specific material quantities & costs (5D) to easily monitor construction budget Commissioning Capture relevant information-data in the BIM model Building operators Integrate all data directly in owner s facility management software that can be readily accessible Facility managers Incorporate monitoring or other building performance data All can share data & a wide range of information (e.g. building design, construction, operation, maintenance) that is all combined in one BIM model

5 Where do we stand? ASSESS ARCHITECTURAL DESIGN CONFIRM ADEQUACY OF BUILDING S THERMAL INSULATION CONFIRM ADEQUACY OF E/M DESIGN INSTALLATIONS & AUTOMATIONS CONFIRM BUILDING S ENERGY PERFORMANCE SIMULATIONS MEASURED DATA BMS DATA SIMULATIONS DESIGN CONSTRUCTION COMMISSIONING OPERATION / MONITORING RENOVATION / REFURBISHMENT DEMOLITION

6 Building Energy Simulation Simulation Modeling BIM/IFC does not include all the necessary information needed to perform detailed Energy Analyses using Building Energy Simulation software (e.g. Zone/space occupancy, Equipment for normal operation (non HVAC), operational schedules - lighting, shading) The information needed is available from many different sources & in many different formats Energy Solvers use their own proprietary schemas for simulation modeling & configuration (no compatibility - even on semantic level) Simulation Models require detailed & comprehensive data (building model, systems, building usage, expected occupancy behavior) Simulation Models require extensive end-user effort to correctly configure Energy Solver vendors provide various resource libraries to Support information availability Make simulation modeling Easier to the end-user More transparent to the end-user

7 What s coming up? COMMON DATA REPOSITORY SIMULATIONS MEASURED DATA BMS DATA SIMULATIONS BMS DATA DESIGN CONSTRUCTION COMMISSIONING OPERATION / MONITORING RENOVATION / REFURBISHMENT DEMOLITION Resume process Thermal Simulation Tools CFD Analysis Stochastic Data Materials Occupancy Weather-climate

8 Libraries Templates Energy Solvers Library Energy Solver Libraries tools Enable sharing of common, frequently used information objects Provide representative information objects that have been validated in projects Enable modularized information object design that reduce complexity in simulation modeling - Simulation Models are otherwise complex and extensive Ensure greater consistency in simulation model development & configuration Increase end-user productivity in simulation modeling & configuration by minimizing necessary end-user input

9 Libraries Templates Energy Solvers Library 1 Energy Solver Library 2 : Library N Energy Solver is supported by different third party resource libraries (both commercial & public domain) Library providers ensure conformation to the energy solver schema specification

10 Data Interoperability Templates Energy Solvers Library1 Energy Solver 1 Library 2 : Library N Energy Solver 2 : Energy Solver N Current Situation No common delivery technology (file based (text, xml), web pages) No common exchange strategy (what-data, how-format / technology, when-life cycle stages) No common programming interfaces No shared semantics No shared schema specifications (schema or class level)

11 ISES Services Framework A Service Framework that enables including any resource Weather data Materials data Building elements Diversity profiles (schedules) Library1 Library 2 Library N Services Framework + Templates Neutral Model Energy Solver 1 Energy Solver 2 : : Energy Solver N NANDRAD THERAKLES COND RIUSKA ROOMEX CFD SOFISTIC Source Model Target Model

12 ISES Service Framework Services Framework Common schema for exchange of information objects Adaptor driven framework for resource interfacing Templates Template defaults selected to conform to Standards & Regulation Technical requirements Dynamic, configurable & reusable between projects Organized in a hierarchical topology (level of detail) Based on industry standard semantics (e.g. IFC, gbxml) Technical Requirements Regulatory Requirements Template

13 Software Components ISES Service Framework Catalogues Scripting Element Specification Services Template Script Schema Specification Template Engine Template Script Stochastic Processor Simulation Model A Simulation Model Configuration Simulation Model B Simulation Model C

14 Software Components ISES Service Framework Distributed data sources (e.g. climate, schedules, materials data) using different data schemas-formats, hosted by different technologies (DBs, Web Services, file systems - cloud, ftp, local) Catalogues Services Scripting Element Specification Template Script Template Engine Set of specific scripting elements used for data retrieval, transformation & re-formatting, stochastic calculation, conditional evaluation etc. Schema Specification Template Script An XML schema that specifies resource output, e.g. Building elements, materials, schedules-profiles & weather data A set of XML elements that together deliver data in a specified format, given a specific context Stochastic Processor Simulation Model A Provide a standardized interface to Libraries Generate stochastic samples based on specific scripting elements embedded in the templates Process Template Scripts & Generate output Template (script) Simulation Model Configuration Simulation Model B Simulation Model C

15 Example Template Example INPUT Expert knowledge to create templates ISES D4.2 Prototype of the intelligent search, access and interoperability services to the energy-related ICT Jelly is an open & customizable JAVA & XML based scripting & processing engine; the tool turns XML into executable code

16 Template Tags Script tag reference documents the tags developed for ISES to facilitate access to energy related resources & data models Four main tag categories: tags - Enable the access & retrieval of resource data These resources can be provided by data bases, web services & diverse type of file systems. Typical resources: climate databases & weather data files, building product databases, diversity schedules etc. General tags - Support inclusion of variable functionalities in resource tags Usually, re-useable components that can be used when building custom tags. Processing tags - Allow execution of arbitrary code They provide support for processing of resource output and other type of data processing that is not provided by the resource tags themselves. For example, data re-formatting, data transformation, data validation and stochastic sampling. Sampling tags - Implement probabilistic & mathematical algorithms to produce random data samples

17 Weather & Climatic Data Post to Database $result _query( $qry) Create Filtering query $qry = «SELECT FROM Temperature( H1, H2,...)"; Filtering Tool #2 Climatic Data to be used by the Cloud Tool #1 mysql Database Database Structure energyco_climaticdata Server Connection Tables Location, Diffuse Radiation, Global Radiation, Temperature, Relative Humidity, Pressure, Wind Speed & Direction) Recordsets Id (Primary Key), Year, Julian Day (Jd), Data Database connection details Connect to mysql require_once( config.php '); $link = mysql_connect(db_host, DB_USER, DB_PASSWORD); Select Database $db = mysql_select_db(db_dat ABASE);

18 Weather & Climatic Data. ATHENS Dry bulb temperature Relative humidity Atmospheric pressure Wind direction Wind speed Global horizontal solar radiation Diffuse horizontal radiation Connect to mysql Database Run filtering Queries Create Output

19 Simulations & Parametric Analysis in the Cloud A real need in the construction industry Updated data is accessible anywhere High end computational power Storage capacity Data accessibility

20 Post-Processing of Results POST-PROCESSING Sensitivity Analysis Uncertainty Analysis Decisions

21 WIIFM?

22 Virtual Laboratory Domain modeling & input to Virtual Lab Automatically combine different models Cloud computing provides the necessary computational power Evaluation of multiple simulations, Prioritize results

23 Thank you for your attention Costas Balaras, NOA Energy in Buildings 2013, ASHRAE Hellenic Chapter & Technical Chamber of Greece Athens, November 9, 2013