Intelligent Services for Building Information Modeling · ISES—Intelligent Services for...

ISES—Intelligent Services for Energy-Efficient Design and Life Cycle Simulation

Energy in Buildings 2013, ASHRAE Hellenic Chapter & Technical Chamber of Greece Athens, November 9, 2013

Athens, 9.11.2013 C.A. Balaras, NOA

Intelligent Services for Building Information Modeling

www.energycon.org

http://ises.eu-project.info/

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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.


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


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


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

DESIGN CONSTRUCTION OPERATION / MONITORING

DEMOLITION COMMISSIONING RENOVATION /

REFURBISHMENT

SIMULATIONS BMS DATA MEASURED DATA SIMULATIONS


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


What’s coming up ?

DESIGN CONSTRUCTION OPERATION / MONITORING

DEMOLITION COMMISSIONING RENOVATION /

REFURBISHMENT

COMMON DATA

REPOSITORY

SIMULATIONS BMS DATA MEASURED DATA SIMULATIONS BMS DATA

Resume process …

Thermal Simulation Tools

CFD Analysis

Stochastic Data

•Materials

•Occupancy

•Weather-climate


Resource Libraries

Energy

Solver

Resource

Library

Templates Energy Solvers

Resource 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


Resource Libraries

Energy

Solver

Resource

Library 1

Resource

Library 2

Resource

Library N


Energy Solver is supported by different third party resource libraries (both commercial & public domain) Resource Library providers ensure conformation to the energy solver schema specification

:


Data Interoperability

Energy

Solver 1

Energy

Solver 2

Energy

Solver N

Resource

Library1

Resource

Library 2

Resource

Library 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)


ISES Services Framework

Services

Framework

Source Model Target Model

Neutral Model

Energy

Solver 1

Energy

Solver 2

Energy

Solver N

Resource

Library1

Resource

Library 2

Resource

Library N

+ Templates

: :

A Service Framework that enables including any resource

Weather data

Materials data

Building elements

Diversity profiles (schedules)

NANDRAD

THERAKLES

COND

RIUSKA

ROOMEX

CFD SOFISTIC


• 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)

ISES Service Framework

Template

Technical

Requirements

Regulatory

Requirements

http://hesmos.eu



Simulation

Model

Configuration

Stochastic

Processor

Template

Engine

Resource

Schema

Specification

Scripting

Element

Specification

Resource

Services

Template

Script

Resource

Catalogues

Template

Script

Simulation

Model A

Simulation

Model B

Simulation

Model C

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Simulation

Model

Configuration

Stochastic

Processor

Template

Engine

Resource

Schema

Specification

Scripting

Element

Specification

Resource

Services

Template

Script

Resource

Catalogues

Template

Script

Simulation

Model A

Simulation

Model B

Simulation

Model C

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)

Set of specific scripting elements used for data

retrieval, transformation & re-formatting, stochastic

calculation, conditional evaluation etc.

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

Provide a standardized interface to Resource

Libraries

Generate stochastic samples based on specific

scripting elements embedded in the templates

Process Template Scripts & Generate output

Template (script)

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Example Template

Expert knowledge

to create templates

Example – INPUT

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


Template Tags

Resource 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

Script tag reference documents the tags developed for ISES to facilitate

access to energy related resources & data models

Four main tag categories:


Weather & Climatic Data

Server Connection

mySQL Database

Filtering

Database connection details

require_once(‘config.php');

Connect to mySQL

$link = mysql_connect(DB_HOST, DB_USER, DB_PASSWORD);

Select Database

$db = mysql_select_db(DB_DATABASE);

Database Structure

energyco_climaticdata Tables

Location , Diffuse Radiation, Global Radiation, Temperature, Relative Humidity, Pressure, Wind Speed & Direction)

Recordsets

Id (Primary Key), Year, Julian Day (Jd), Data

Create Filtering

query $qry = «SELECT FROM

Temperature(H1, H2,...)";

$result =

@mysql_query(

$qry)

Post to Database

Climatic Data to be used by

the Cloud

Tool #2

Tool #1


Weather & Climatic Data

.

Connect to mySQL

Database

Run filtering

Queries

Create

Output

ATHENS

Dry bulb temperature

Relative humidity

Atmospheric

pressure

Wind direction

Wind speed

Global horizontal

solar radiation

Diffuse horizontal

radiation


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


Post-Processing of Results

POST-PROCESSING

Sensitivity Analysis

Uncertainty Analysis

Decisions


WIIFM ?


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


Costas Balaras, NOA

Thank you for your attention

http://ises.eu-project.info/

[email protected]

www.energycon.org

Energy in Buildings 2013, ASHRAE Hellenic Chapter & Technical Chamber of Greece Athens, November 9, 2013

mailto:[email protected]

http://www.energycon.org/

Intelligent Services for Building Information Modeling · ISES—Intelligent Services for...

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