INTEGRATED BUILDING SIMULATION TOOL - RIUSKA

Similar documents
Advanced Virtual Building Software in Finland - Tools in a Real Life Building Services Design Process

SOFTWARE TOOLS FROM BUILDINGS ENERGY SIMULATION

IFC-based Product Model Exchange

Revit MEP basics. Ir. Dr. Sam C. M. Hui Faculty of Science and Technology

INTEGRATION OF BUILDING DESIGN TOOLS IN DUTCH PRACTICE

Building Information Modeling

DR and EE Standards for SCE Buildings

Reality Capture. Customer Case

Simplicity is the new black: The BLK360 story

For Powerful MEP Design with Revit

Minding The Store, Autodesk Revit for Retail Users

ecoenergy Innovation Initiative Research and Development Component Public Report

Data Migration Plan (40) Fingrid Oyj

HVAC Energy Management System

Technology Primer. HOBO Data Nodes: Advanced Technology for Wireless Energy and Environmental Monitoring

ASHRAE. Shaping Tomorrow s Built Environment Today

Factsheet. Power Generation Service Energy efficiency in power generation and water

Product Libraries in Ifc format. Open access to product information throughout a buildings lifecycle

We protect IT DC-MONITORING. When more surveillance leads to added value. Member of the DATA CENTER GROUP

Survey and Audit Service Schedule. Airflow and Thermal Imaging Survey Service Schedule. Data Centre Solutions Expertly Engineered

Deft User Guide <Virtual Environment> 6.0

Energy Performance Contracting

DATA CENTRE & COLOCATION

ASHRAE s Energy Efficiency Technical Guidance

Design Collaborati on using IFCs

Intelligent Services for Building Information Modeling

Lars Vegsund, Norconsult, Norway Project name: Forde town hall

LET US TAKE CONTROL HIGH-PERFORMANCE BUILDING AUTOMATION INNOVATIVE CONTROL ENGINEERING

Data exchange from BIM to building-use simulation

Questions and Answers

The Bard BrightStat Room Controllers

Presentation title. Presenters name

ASHRAE. Shaping Tomorrows Built Environment Today. Erich Binder - Director At Large

HVAC&R Technical Requirements for The Commissioning Process. Charles E Dorgan, PE, PhD, CxAP Professor Emeritus University of Wisconsin - Madison

Data Migration Plan Updated (57) Fingrid Datahub Oy

Silicon Valley Power Data Center Program Rebate Application

Data Centers. Powerful Solutions That Put You in Control. Energy Management Solutions. Where your energy dollars are used. 1

SMARTair Proximity access control

Art and Science of Building NUS Data Centres

IFC IMPORT AND EXPORT using simplebim

Proceedings of the Eighth International Conference for Enhanced Building Operations, Berlin, Germany, October 20-22, 2008

ComfortWORKS A NEW GENERATION OF BUILDING CONTROL

Product Libraries in Ifc format. Open access to product information throughout a buildings lifecycle

BUILDING SPACE ANALYSIS FOR INTEGRATING DESIGN AND CONSTRUCTION

Samuel Tepp Engineering Seminar Topics

Remote Monitoring. for Building HVAC Systems. A unique combination of human expertise and technology helps ensure optimum operation.

Development Of A Fast Simulation-aided-design Method For Office Building In Early Design Stage Ziwei Li 1, Borong Lin 1,*, and Hongzhong Chen 1 1 Scho

DEVELOPMENT OF BASE EFFICIENCIES IN BUILDING ENVIRONMENT SIMULATION FOR BUILDING SIMULATION 2003 CONFERENCE

A multi interface software designed to share geometries within different simulation tools

Introduction. Abstract

Building Management Solutions. for Data Centers and Mission Critical Facilities

ONLINE SOFTWARE PLATFORM FOR DEDICATED PRODUCT RELATED SIMULATIONS

worldwide germany PC Control

Message exchange with. Finnish Customs

CFD Modelling in the Cement Industry

Development of Optimal Design System based on Building Information Modeling

Application of TileFlow to Improve Cooling in a Data Center

BIM + Design Technology HDR, Inc., all rights reserved.

BUILDING INTEGRATED PHOTOVOLTAICS IN A THERMAL BUILDING SIMULATION TOOL

Questions and Answers

IAI / IFC Concept of the IFC Standard and the relation to ISO & XML

Virtual Design and Simulation in two-stroke marine Engine Development. Cimac congress paper 173, Helsinki 2016, A. Brueckl, M. Sichler, U.

In Union There Is Strength: AutoCAD and Autodesk Revit in Concert

BROCHURE. A data center for all needs

Presentation of the Open Frontier Framework as a Platform for Space Engineering Tools. Holger Sdunnus (eta max space GmbH, Germany)

Are Intelligent Buildings Green Buildings? National Green Building Conference & Exposition Ottawa Congress Centre April 11, 2006

THE ADVANTAGE MISSION CRITICAL JOKAKE CONSTRUCTION. INSPIRE. BUILD. PARTNER. INSPIRE. BUILD. PARTNER.

VRML PROGRAMS FOR ROOM VENTILA non APPLICA nons

DATA CENTER AIR HANDLING COOLING SOLUTIONS

Energy Solutions for Buildings

84 kw, Tier 3, Direct Expansion, 937 ft 2

The 2016 Legislation.

Energy Engineering: Tools and Trends

space is used effectively. Outdoor space components such as fences and trees affect the solar radiation that the building receives. These components a

NUMERICAL CALCULATION OF MEAN RADIANT TEMPERATURE AND TEMPERATURE ASYMMETRY FOR COMPLEX ROOM GEOMETRY

Questions & Answers. Contents AUTODESK ARCHITECTURAL DESKTOP 2006

Concord Hospital Infrastructure Upgrades Increased Energy and Operating Efficiencies with a Tangible Reduction in Operating Costs

Economizer Fault Detection and Diagnostics (FDD) for Built-Up Air Handlers Draft Report

INTEGRATED BUILDING CONTROLS

VOLUNTARY ENERGY EFFICIENCY AGREEMENTS IN FINLAND

Nearly Zero-Energy Buildings: Best Practices from Intelligent Energy Europe

ANALYSIS OF PROCEDURES AND WORKFLOW FOR CONDUCTING ENERGY ANALYSIS USING AUTODESK REVIT, GBXML AND TRACE 700. Shariq Ali 1

Building Information Modeling

Proposed New Jersey Energy Resilience Bank ERB

A Knowledge-based Design Advisory System for Collaborative Design for MicroManufacturing

Building Energy Management....strategic planning for Banks

3D Modeling and Energy Analysis of a Residential Building using BIM Tools

Finnish ICT Strategies for the Construction and Real Estate Cluster

Energy Productivity. Dr Nick Regan GDF SUEZ ENERGY SERVICES - COFELY 04/2014

Engineering and Design Services Mechanical HVAC Plumbing Electrical Chemical/Process Structural Instrumentation

MacroFlo User Guide <Virtual Environment> 6.0

NOTICE WARNING CONCERNING COPYRIGHT RESTRICTIONS: The copyright law of the United States (title 17, U.S. Code) governs the making of photocopies or

Green Computing and Sustainability

Room Automation Solutions. Freeing up space in building automation.

Most as-built information is still manually collected. Today s Design Market

SystemsInsight QUICK REFERENCE GUIDE. Going further in critical communications

Beverly D. Grappone Hall Certified LEED Silver Home of NHTI s State-of-the Art Nursing Simulation Center

The Information Technology Revolution and its Impact on Facility Management

Evolution of D-Studio Middleware technology for BIM integration

The Project Charter. Date of Issue Author Description. Revision Number. Version 0.9 October 27 th, 2014 Moe Yousof Initial Draft

Transcription:

INTEGRATED BUILDING SIMULATION TOOL - Jokela M, Keinänen A, Lahtela H, Lassila K Insinööritoimisto Olof Granlund Oy BOX 59, 00701 Helsinki, Finland ABSTRACT A new integrated simulation system for the building services design and facilities management purposes is being developed by Insinööritoimisto Olof Granlund Oy. The system covers the thermal simulation needs of the whole building life cycle from the preliminary design to renovations. The main components of the simulation system are a simulation database, user interfaces, a result module, a building geometry modeller and a calculation engine. The building geometry modeller generates a 3-D surface model of the building. The calculation engine of the first version is DOE 2.1E. The simulation database is linked to other design databases and design programs so that redundant input data is avoided. BACKGROUND The -development project started in summer 1996. The project is funded by the Finnish Ministry of Trade and Industry and Insinööritoimisto Olof Granlund Oy. The project will last three years. The development work is done by the R&D department of Insinööritoimisto Olof Granlund Oy. Insinööritoimisto Olof Granlund Oy is an engineering firm with 170 employees and with main business areas in building services design, energy audits, computerised facilities management systems and consulting. INTRODUCTION The most important decisions concerning the building energy usage are done already in the very beginning of the building design process [2]. Appropriate building simulation tools are useful tools when making these decisions (e.g. building lay-out alternatives and different basic building services systems). The input data for the simulations are mainly assumptions (e.g. internal loads) and typical solutions (e.g. typical constructions). In these preliminary studies, the focus is mainly on the differences between different design alternatives. The calculations should be performed effectively and the results should be in a form that can be understood by a non-expert. When the building design process continues, thermal simulation tools are needed again when selecting and sizing the systems and equipment for the building. At this phase the input values are much more accurate than in the previous design phase, and the results of the calculations should be rather accurate as the equipment and systems selections are based on these values. The user should be able to tailor the layout of the results according the special needs of the project. In the end of the building design process, the designer calculates target values for the building energy consumption, and calculations are based on the actual building data. Results should be accurate as the real energy consumption values are compared to simulation results. During the building operational phase facilities management personnel should be able to analyse beforehand what effects operational changes (e.g. changes in the running hours of an AC-unit or in the internal loads due to new occupants) will have on the energy consumption and the indoor air thermal quality of the building. With help of an easy-to-use simulation tool it would be possible to analyse alternatives and to choose economical energy management strategies. A simulation tool that would fulfil all these tasks does not exist on the market. Tools designed for the first phases of the design are not accurate enough for actual design, and tools suitable for designers are not suitable for facilities management personnel. Thus Insinööritoimisto Olof Granlund Oy decided to start a project in which an in-house integrated simulation tool will be developed. The idea of is to use the same core simulation system throughout the building life cycle. Only the user interface of the system varies according to the level of the user's knowhow and needs. The simulation system will be linked to the design databases of Insinööritoimisto Olof Granlund Oy and thus the data input to the simulation program will be mainly automatic. The tool will become part of the company internal project management system. Another main idea in -project is to reuse existing simulation engines, as we call the actual program, which is performing the thermal balance equations of the building. In the first prototype of, DOE 2.1E was chosen to be the simulation engine. DOE was chosen because it is a widely accepted building thermal simulation program around the world and it includes most of the needed modules for engineering purposes.

SMOG GRANLUND SPACE MODELER BUILDING GEOMETRY MODELLER USER INTERFACES PRE DESIGN GRANLUND ENERGY SIMULATION FM INPUT BUILDER CONVERTER INPUT FILE WEATHER FILE SIMULATION DATABASE SIMULATION DATA PROJECT LIBRARY DATA DOE CALCULATION ENGINE CALCULATION ENGINE SIMULATION RESULTS RESULT MODULE OUTPUT BUILDER CONVERTER OUTPUT FILE PRE DESIGN FM Figure 1. system description SYSTEM DESCRIPTION The main components of the simulation system are a simulation database, user interfaces, a result module, a building geometry modeller and a calculation engine. The system structure is presented in figure 1. The database The core of the simulation system is the simulation database. The structure of the data management system is partly based on research projects as COMBINE [1] and Raket T-611 [2] and the development work done by Insinööritoimisto Olof Granlund Oy. Experiences gained in the COMBINE project were the starting point for the development work. was aimed to be in use in the design work not more than one year from the beginning of the programming work. This could only be achieved by a rather simple database implementation approach compared to COMBINE. The database structure only represents data to be used for one application area i.e. thermal simulations. The database also includes the results from the simulations. Thus the simulation results may be reviewed anytime together with the input values. Later, when the standardisation of the building data can be utilised, standard data formats for data transfer (as IFC or STEP) are planned to be implemented in the. The simulation database is linked to other design databases and design programs so that redundant data is avoided. The same data can be used by the HVACdesigner for the calculation of the cooling loads and the by the electrical designer for the dimensioning of the electricity distribution system. The data sharing can be extended to interdisciplinary design data exchange (e.g. the HVAC-designer will use occupancy data defined in the architect s design databases). Another example of data sharing via databases is a life cycle cost calculation tool that will use energy consumption values calculated by the simulation tool. The implemented database structure is presented in appendix 1. User interfaces will have different user interfaces for different purposes. The user interface includes default value generation routines. If some input data is missing, default values for the missing data is generated according to the rules based on statistical data, know-how and library values. At this moment the development is concentrating on the the user interface for the design phase. User interface for facilities management will be available during the spring of 1998. Figures 2a and 2b shows examples of the user interface for the design phase.

Figure 2a,b. An example of selecting a room and its structures in the interface for the design phase. The result module Simulation results can be viewed within the program and with a stand-alone result viewing application. Thus the designer can view and compare different simulations with a light and easy-to-use program. This also enables a team work method in which the experts do the simulations and designer only study the results of different simulations. geometrical model of the building. It makes the geometry input reliable, fast and easy. SMOG creates 3-D objects of walls, windows, doors and spaces and also creates connections between these objects. For example a wall object knows its neighbour objects, and a space object knows all its wall objects. The building geometry modeller The most novel part of the simulation system is a space modelling tool called SMOG (Space Modeller by Olof Granlund Oy). SMOG is an AutoCAD-based modelling tool which enables easy generation of the

Figure 3. An example of the SMOG interface SMOG allows users to : draw basic objects such as walls, windows and doors move and edit objects, the SMOG modeller maintains connections between objects and updates properties related to these objects (e.g. changes space areas when you move a wall) analyse areas quickly and efficiently calculate statical heat losses visualise the building The users can export the 3-D objects to be used in special visualisation programs. Figure 3 shows a view of the SMOG interface. Area calculation SMOG calculates user defined areas by an area calculation algorithm. Areas can be of arbitrary shape. The user can select the method how to calculate grossand net areas (e.g. are columns includes in the net area calculation). Database connectivity SMOG creates an external building geometry database that is used for the data transfer to different applications. One of these applications are. SMOG is equipped with a DLL-module (Dynamic Link Library) to make the implementation of data transfer easier. This module makes the tool open to any application needing a simple 3D building model. The calculation engine The calculation engine in the first version of is DOE 2.1E. DOE was chosen because it is widely known among Building Services designers around the world, and it is well optimised for building services engineering purposes in terms of calculation accuracy and calculation time. Also the support and development strategy for this selected calculation engine are reasonably good. The calculation engine is a standalone module that reads data from and sends data to the database through ASCII-files. This approach does not demand any changes to be made to the actual calculation engine. Thus the calculation engine can be changed by writing new converters for a new calculation engine. In the future versions of, DOE 2.2 will be used as the simulation engine. Other simulation engines will be implemented if needed. FUTURE WORK At the moment, is already used in design projects for room simulations and the development work is concentrating on more extensive calculation tasks such as building simulations and system simulations. The next phases will be the implementation of the facilities management simulation during 1998. Future ideas for the project are: integration of the building automation and facilities management simulation development of modules to be used in the commissioning phase implementation of energy generation calculations and energy storage calculations

CONCLUSIONS It is possible to use dynamic thermal simulations in every-day design. The data input for the simulations should be as easy as possible. This can be achieved by reusing data from other applications, by a wide use of library data and by using CAD tools for the building geometry input. By integrating the simulation applications into the company project management system, all documents produced becomes part of the company internal document handling system and thus provides links to the quality assurance system. REFERENCES [1] COMBINE-project, http://erg.urd.ie/combine.html [2] Jokela M, Keinänen A, Lassila K and Lappalainen V, Energy Calculation Programs And Data Management In The HVAC Life Cycle Process, Oct 1996 [3] RATAS-project, http://www.vtt.fi/cic/cic.html [4] ISO/STEP, http://erg.cstb.fr/ilc/ap228 [5] IFC, http://www.interoperability.com [6] DOE 2.1E Program documentation and manuals

Appendix 1. The Simulation Database Structure