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#4 Building Simulation'95, Madison, Wisconsin, USA August 14-16, 1995

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Session Title

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1

1.1

Moisture in Buildings

The Effect of Water Vapour Transfer on Natural Convection in Building Cavities

Australia

D.J.Close,H.

Suehrcke,A.Masatto

Dep. of Mechanical Engineering James Cook Univ.

2

1.1

Moisture in Buildings

Simulation of Moisture Transport to Assess Durability Aspects of Composite Walls

Netherlands

E.H.Tumbuan,

G.L.M.Augenbroe

TU Delft,Faculty of Civil Engineering

3

1.1

Moisture in Buildings

Simultaneous Modelling of Heat and Moisture Transfer and Air-Conditioning System In Buildings

Hong Kong

F.W.H.YikCC.P.UnderwoodC

W.K.Chow

Dep. of Building Services Engineering,The Hong Kong Polytechnic Univ.

4

1.1

Moisture in Buildings

Manufactured Housing Walls that Provide Satisfactory Moisture Performance in all Climates

USA

D.M.BurchCA.TenWolde

National Institute of Standards and Technology

5

3.3

HVAC Modeling

How to Overcome the HVAC Simulation Obstacles

Germany

M.Madjidi,M.Bauer

University of Stuttgart

6

2.1

HVAC Modeling

Modelling of Gas-Fired Boiler Systems for Building/HVAC Plant Simulation

UK

V.I.HanbyCG.Li

Dep. of Civil and Building Engineering Liughborough University of Technology

7

3.3

HVAC Modeling

Generalization in Plant Component Modelling

Hong Kong

T.T.Chow

Division of Technology City University of Hong Kong

8

3.4

HVAC Modeling

Detailed Modelling and Simulation of a VAV Air-Conditioning System

UK

P.Haves

Dep. of Civil & Building Engineering Loughborough University of Technology

9

1.1

Simulation@

Methodology

Description Induced by Modelisation Methods in the Case of Building Themal Simulation

France

H.BoyerCF.GardeCA.LauretCJ.Brau

Universite de la Reunion,Faculte des Sciences Laboratoire de Genie Industriel

10

7.1

Simulation@

Methodology

Building Simulation in a Mathematical Programming Environment

Canada

A.K.Athienitis

Centre for Building Studies Concordia Univ.

11

7.1

Simulation@

Methodology

A Self-Emerging Dynamic Simulation Model on a Microchip

UK

L.Jankovic

InteSys Ltd University of Central England

12

7.4

Simulation@Methodology

A Statistical Methodology for Model Validation in the ALLAN.TM Simulation Environment

France

M.IzquierdoCG.LefebvreCE.PalomoCF.BoudaudCA.Jeandel

GISE(Group Informatique et Systemes Energetiques)-EMP/ENPC(Ecole Nationale des Ponts et Chaussees)

13

1.4

Airflow in Buildings

Numerical Modelling of Air Flows in Buildings and Design of a Data Base of Experiments

Cethil

P.DepeckerCJ.VirgoneCG.Rusaouen

Universite Claude Bernard

14

1.4

Airflow in Buildings

A Wind Pressure Distribution Calculation Program for Multizone Airflow Models

Italy

M.Grosso, D.MarinoCE.Parisi

Environmental Science and Technology Department Polytecnic University of Turin

15

1.5

Airflow in Buildings

Implications of Room Air Motion on Control of Themal Comfort in Rooms with Natural@@Convection Heat Sources

USA

B.KraftheferCD.J.ShahCK.Shultz

Honeywell Technology Center

16

1.5

Airflow in Buildings

Air Flow Pattern and Temperature Field Simulation in a Large Glazed Space

France

M.LfeuvreCD.Groleau, C.Marenne

Laboratorie CERMA-URA CNRS 1581-Ecole d'Architecture de Nantes

17

8.4

HVAC/Control

An Integrated Approach for Energy Saving and Control Optimisation of Centralized Air-Conditioning System

Hong Kong

S.WangCJ.Burnett

Dep. of Building Services Engineering The Hong Kong Polytechnic Univ.

18

3.4

HVAC/Control

Gymnasium Fresh Air Preheating

France

A.TrombeCL.Serres

Laboratoire d'Etudes Thermiques et Mecaniques Department Genie-Civil INSA - Complexe Scientifique de Rangueil

19

6.3

HVAC/Control

Intelligent Computer Control of Air Conditioning Systems Based on Genetic Algorithm@@and Classiffer System

Hong Kong

H.N.Lam

Dep. of Mechanical Engineering University of Hong Kong

20

3.3

HVAC/Control

Night Ventilation for Cooling PurposesCPart‡T-Reference Building and Simulation Model

Sweden

J.X.RenCJ.-O.Dalenback

Building Services Engineering,Chalmers University of Technology

21

1.5

Simulation@

Methodology

The Implementation of a Computational Fluid Dynamics Algorithm within the ESP-r@@System

UK

J.A.ClarkeCW.M.DempsterCC.Negrao

ESRU,Energy Systems Division,Faculty of Engineering,University of Strathclyde

22

7.1

Simulation@

Methodology  

SimuIation and Reasoning:Intelligent Building Themal Problem Detection

USA

A.M.Malkawi

The University of Michigan College of Architecture and Urban Planning

23

8.6

Simulation@

Methodology  

A Dynamic Hypermedia Interface Model for Energy Design in Buildings

USA

K.A.Al-SallalCL.O.Degelman

Dep. of Architecture,Texas A&M University College Station

24

3.3

Simulation@

Methodology

HVAC Component Model Libraries for Equation-Based SoIvers

USA

E.F.SowellCM.A.Moshier

Dep. of Computer Science California State Univ.

25

1.4

Airflow in Rooms

A Model of a Displacement Ventilation System Suitable for System Simulation

UK

S.L.ReesCP.Haves

Dep. of Building & Civil Engineering Loughborough University of Technology

26

4.3

Airflow in Rooms

Computer Simulation of the Impact of CO2-Based Ventilation Control

Canada

R.ZmeureanuCF.Haghighat

Centre for Building Studies Concordia Univ.

27

4.3

Airflow in Rooms

Multizone Modeling of Three Residential Indoor Air Quality Control Options

USA

S.J.EmmerichCA.K.Persily

National Institute of Standards and Technology

28

1.1

Airflow in Rooms

Convective Heat Transfer in Rooms

UK

A.HattonCH.B.Awbi

Dep. of Construction Management & Engineering University of Reading

29

2.5

Storage

Evaluation of Passive Cooling Strategies for Israel

Israel

S.Hassid

Environmental & Water Resources engineering Department Technion-Israel Institute of Technology

30

3.1

Storage

The Influence of Climate on the Heat Transfer from Earth-Sheltered Buildings

USA

T.Forowicz

Lawrence Berkeley National Laboratory Energy and Environment Division University of California at Berkeley

31

2.3

Storage

A Simulation Model Applied to Climatization Plant Performance Analysis in Presence of Thermal Storage

Italy

L.Schibuola

Istituto di Fisica Tecnica - Universita di Padova

32

2.3

Storage

Simulation of Radiation Induced Melting and Solidification in the Bulk of a Translucent@Building Façade

Switzerland

H.Manz,P.W.Egolf

Swiss Federal Laboratories for Materials Testing and Research(EMPA)

33

7.1

Building@Performance

On System Simulation for Building Perfomance Evaluation

UK

J.Hensen

Energy Systems Research Unit University of Strathclyde

34

7.4

Building@Performance

A Confirmation Technique for Thermal Perfomance Simulation Models

Australia

T.J.Williamson

Dep. of Architecture University of Adelaide

35

2.5

Building@Performance

Zero-Energy Houses in The Netherlands

Netherlands

W.Gilijamse

Interfaculty Dep. of Environmental Science University of Amsterdam

36

8.2

Building@Performance

Decision Support Tools for Building Code Energy Efficiency Compliance

New Zealand

M.DonnCN.IsaacsCJ.LeeCP.Bannister

CBPR,Victoria University

37

4.2

Daylighting

A Simulation Approach to Detemine a Visual Comfort Index including Daylight For Adequate Building Performance Evaluation

Germany

F.Sick

Fraunhofer Institute Solar Energy Systems

38

1.2

Daylighting

Simulation of Sky Luminance Distribution for Daylighting Studies

Netherlands

K.Davies, M.van der Voorden

Faculuty of Architecture Delft Unixersity of Technoogy

39

5.1

Daylighting

Advancing Lighting and Daylighting Simulation:The Transition from Analysis to Design Aid TooIs

USA

R.J.Hitchcock

Energy and Environment Division Building Technologies Program Lawrence Berkeley Laboratory University of California

40

7.4

Error Analysis and 

Fault Detection

An Error Analysis Method Applied to a Building Simulation Software:An Example of@Application and Its Results

France

L.TabaryCN.Ramdani

Eledtricite de France -  Les Renardieres

41

4.1

Error Analysis and 

Fault Detection

Uncertainty Analysis in Building Themal Modelling

Netherlands

M.S.de Wit

TUDelft,Dep. of Civil Engineering

42

6.6

Error Analysis and 

Fault Detection

Fault Identification in Air Handling Units Using Physical Models and Neural Networks

France

R.DumitruCD.Marchio

Ruxandra Dumitru and Dominique Marchio Ecole des Mines de Paris

43

6.6

Error Analysis and 

Fault Detection

Generic Modelling of HVAC Plant fbr Fault Diagnosis

UK

A.L.Dexter,M.Benouarets

Dep. of Engineering Science University of Oxford

44

8.1

Training in@ Simulation@Metbods

Recent Experiences and Developments in the Training of Simulationists

UK

J.HandCJ.Hensen

Energy Systems Research Unit,University of Strathclyde

45

8.1

Training in@ Simulation@Metbods

Computer-Aided Training of Bioclimatic Architectural Design-Experience with Teachware for Building Performance Prediction

Germany

M.G.Tuschinski

Institute of Building Economy,Architecture and Urban Planning University of Stuttgart

46

8.1

Training in@ Simulation@Metbods

Teaching Building Simulation with the Help of General Purpose Dynamical Modeling Software

Switzerland

H.U.FuchsCM.Simon

Dep. of Physics,Technikum Winterthur

47

7.2

Training in@ Simulation@Metbods

A Simplified Coupled Model for Thermal Behavior and Air Flows Simulation in Urban Spaces

France

F.Pignolet-TardanCP.DepeckerCJ.C.Gatina

Laboratoire de Genie Industriel, Universite de la Reunion

48

8.4

Illumination

LightPADTM 2.0-A Portable Audit and DesigniPADjTool for Evaluating Retrofit Lighting Options

USA

K.F.JohnsonCG.K.HartCT.McDougall

Electric Power Research Institute

49

1.2

Illumination

The ApplicationCValidation and further Development of RADIANCE:Some UK Activities

UK

J.Mardaljevic,K.J.Lomas

ECADAP Centre, Institute of Energy and Sustainable Development De Montfort University

50

1.2

Illumination

A Generative Simulation Tool for Architectural Lighting

USA

A.MahdaviCL.Berberidou-Kallivoka

Center for Building Performance and Diagnostics Dep. of Architecture Carnegie Mellon Univ.

51

8.5

Simulation@Methods

Automatic Generation of Complex Simulation Tools-Models of Buildings with Solar@Heating Systems

Denmark

K.WittchenCS.Ostergaard JensenCK.Engelund Thomsen

Danish Building Research Institute

52

3.3

Simulation@Methods

Design of PowerDOECa WindowsTM|Based Visually Oriented Analysis Tool

USA

J.J.HirschCF.C.WinkelmannCW.F.BuhlCK.L.EllingtonCJ.S.McMenamin,‡T.RohmundCS.A.CriswellCA.BhimaniCB.SpurlockCD.J.BorsteinCK.F.Johnson

Hirsch & Associates

53

3.3

Simulation@Methods

Incorporating a Modular System Simulation Program into a Large Energy Analysis@Program:the Linking of IBLAST and HVACSIM{

USA

R.R.MetcalfCR.D.TaylorCC.O.PedersenCR.J.LiesenCD.E.Fisher

University of Illinois at Urbana-Champaign

54

8.5

Simulation@Methods

A Neural Network Modeling Approach Applied to Energy Conservation Retrofits

USA

D.A.CohenCM.Krarti

Architectural Enery Corporation

55

3.3

Integration of Simulation 

and Design Tools

An Interactive Energy Design and Simulation Tool for Building Designers

USA

V.I.SoebartoCL.O.Degelman

Dep. of Architecture Texas A&M University College Satation

56

7.2

Integration of Simulation 

and Design Tools

Integration of Building Energy Simulation and HVAC Design Tools in the COMBINE@@Project

Ireland

M.MellotteCJ.FlynnCP.F.Monaghan

Thermal Engineering Research Unit(CATERU) Manufacturing Research Centre University College Galway

57

7.2

Integration of Simulation 

and Design Tools

The development of an Intelligent, Integrated Building Design System Within the European COMBINE Project

UK

J.A.ClarkeCJ.W.Hamd, D.F. Mac Randal

ESRU,Energy Systems Division,Faculty of Engineering,University of Strathclyde

58

7.2

Integration of Simulation 

and Design Tools

Integrating Simulation Tools into the Design Process

UK

D.Mac Randal

Rutherford Appleton Laboratory

59

7.1

Calibration of Simulation Models

Using Data Visualization Tools for the Calibration of Hourly DoE-2.1 Simulations

USA

J.A.McCray,P.L.BaileyCJ.L.ParkerCR.Gillman

RLW Analytics Inc.

60

8.5

Calibration of Simulation Models

Development of a Database of Building Envelope Simulations for Evaluating Building Envelope Retrofits

USA

D.B.Crawley

U.S. Dep. of Energy

61

7.4

Calibration of Simulation Models

An Improved Procedure for Developing Calibrated Hourly Simulation Models

USA

T.Bou-Saada,J.S.Haberl

Energy Systems Laboratory Texas A&M University System College Station

62

7.4

Calibration of Simulation Models

Comparison of Cost and Energy Savings in an Existing Large Building as Predicted by Three Simulation Programs

Canada

R.Zmeureanu,L.PasqualettoCF.Bilas

Centre for Building Studies ,Concordia University

63

8.1

Applications

Transfering Computer Based Energy Analysis Tools to Practice:The Whys and Whats@of Simplification

Finland

‡T.Aho

Technical Research Centre of Finland (VTT) VTT Building Technology

64

8.1

Applications

Transfering Simulation Techniques to End-Users-Application to TRNSYS

France

R.PelletretC

S.SoubraC

W.Keilholz

@

65

7.3

Applications

Opportunistic Software Development

Canada

R.C.Sonderegger

SRC Systems,Inc.

66

8.6

Applications

Building Simulation in Application

Germany

M.Schuler

TRANSSOLAR Energietedhnik GmbH

67

7.1

Advanced@Simulation@

Methods

Synchronous Generation of Homologous Representations in an ActiveCMulti-Aspect@Design Environment

USA

A.Mahdavi,P.Mathew

Center for Building Performance and Diagnostics,Dep. of Atchitecture,Carnegie Mellon University

68

7.1

Advanced@Simulation@

Methods

A Translator from NMF to SPARK

France

J.M.Nataf

GISE-EMP/ENPC

69

7.1

Advanced@Simulation@

Methods

Future Trends of the Neutral Model FomatiNMFj

Sweden

P.Sahlin,A.BringCK.Kolsaker

Dep.of Building Services Engineering, Royal Institute of Technology

70

7.1

Advanced@Simulation@

Methods

Generating Reduced Modal Models of Buildings for ALLAN.TM simulation

France

G.LefebvreCJ.-M.NatafCA.OulefkiC

A.JeandelCE.GivoisCP.BriandC0.Noel

Groupe Informatique et Systemes Energetiques

71

1.1

Heat@Transrer

Analytical and Numerical Analysis of Dynamic Insulation

Sweden

P.Wallenten

Dep.of Building Science,Lund Institute of Technology

72

1.1

Heat@Transrer

Themal Bridge Assessments

UK

P.Strachan  A.Nakhi  C.Sanders

Energy Systems Research Unit, University of Strathclyde

73

1.1

Heat@Transrer

Modelling and Dimensioning a Hot Water Floor Heating System

France

D.CaccavelliCB.BedouaniCJ.Baude

Centre Scientifique et Technique de Batiment Service Genie Energetique et Climatique

74

1.1

Heat@Transrer

Parameter Identification to Analyse Heat Insulation Measurements

Germany

O.GutschkerCH.RogaƒÀCA.Donath

Technical University Cottbus, Dep.of Applied Physics

75

7.4

Calibration@of@

Simulation@Programs

Empirical Validation of Three Thermal Simulation Programs Using Data from a@Passive Solar Building

UK

H.EppelCK.J.Lomas

ECADAP Centre,Institute of Energy and Sustainable Development, De Montfort University

76

7.4

Calibration@of@

Simulation@Programs

New Techniques for Validating Building Energy Simulation Progrms

UK

D.BloomfieldCY.CandauCP.DalicieuxCS.DelilleCS.HammondCK.J.LomasCC.MartinCF.ParandCJ.PatronisCN.Ramdani

The Building Research Establishment

77

7.4

Calibration@of@

Simulation@Programs

With What Confidence can an Architect use a CFD Codes Package as a Building@Environmental Design ToolHCase Study of the Search for an Indonesian Roof@Chimney

New Zealand

M.DonnCP.Satwiko

CBPR,Victoria Univ.

78

7.1

Calibration@of@

Simulation@Programs

Stochastic Simulations Against Deteministic Ones:Advantages and Drawbacks

France

E.PalomoCG.Lefebvre

GISE(Group Informatique et Systemes Energetiques)-EMP/ENPC(Ecole Nationale des Ponts et Chaussees)

79

8.6

Integration of Design 

and Simulation Methods

Some Experiments on Implementing Collaborative Building Design Environments

UK

Y,Z.ChenCD.RobinsonC‡T.Frame, T.W.Maver

Building Performance Researdh Unit Anglia Polytechnic Univ.

80

7.2

Integration of Design 

and Simulation Methods

Building Energy and System Simulation Programs:Model Development,Environment@And Integration

Switzerland

G,ZweifelCV.DorerCM.KoschenzCA.Weber

EMPA Section 175 Building Equipment

81

3.3

Integration of Design 

and Simulation Methods

Mappings for Integrating Design Tools

New Zealand

R.AmorCJ.Hosking

Dep. of Comuputer Science University of Auckland

82

3.1

Integration of Design 

and Simulation Methods

Modeling Office Buildings with DOE-2

‚t‚r‚`

T.Steele

Bonneville Power Administration

83

3.1

Software@

Demonstrations

The Heat Balance Loads Calculator:A Windows-Based Program for Calculating@Heating and Cooling Loads for Buildings

USA

M.M.Pflaum,C.O.PedersenCL.Lawrie

University of Illinois,USACERL-Urbana-Champaign

84

3.1

Software@

Demonstrations

Software for Window Solar Gain Analysis

USA

R.McCluney

Florida Solar Energy Center

85

7.1

Software@

Demonstrations

ISLECR A Self-Emerging Dynamic Simulation Model

UK

L.Jankovic

InteSys Ltd University of Central England

86

3.3

Software@

Demonstrations

PowerDOE:A WindowsTM-Based Visually Oriented Analysis Tool

USA

J.J.HirschCF.C.WinkelmannCW.F.Buhl, K.L.EllingtonCJ.S.McMenanimC‡T.RohmundCS.A.CriswellCA.BhimaniCB.Spurlock, D.J.BorsteinCK.F.Johnson

Hirsch & Associates

87

1.4

Software@

Demonstrations

CONTAM94-A Multizone Airflow and Contaminant Dispersal Model with a Graphic@User Interface

USA

G.N.Walton

National Institute of Standards and Technology

88

3.3

Software@

Demonstrations

DOE Building TooIs Demonstrations

USA

D.B.Crawley

U.S.Dep. of Energy

89

8.4

Software@

Demonstrations

Market ManagerTM for Windows-MMWIN

USA

R.C.Sonderegger

SRC Systems,Inc.

90

7.2

Software@

Demonstrations

IDA-An Environment for Building and Energy Systems Simulation

Sweden

A.BringCL.ErikssonCH.HemanssonCM.LindgrenCP.Sahlin

Bris Data AB

91

7.2

Software@

Demonstrations

Software Description for ENER-WIN:A Visual Interface Model for Hourly Energy@Simulation in Buildings

USA

L.O.DegelmanC

V.I.Soebarto

Dep.of Architecture Texas A&M Univ.

92

8.4

Software@

Demonstrations

Loanstar Public Domain Software for Data Analysis and Data Viewing

USA

J,HaberlC@D.ClaridgeCR.SparksCK.Kissock

Energy Systems Laboratory Texas Engineering Experiment Station Texas A&M Univ. College Station

93

7.2

Software@

Demonstrations

BASECALCTM:New Software for Modelling Basement and Slab-on-Grade Heat@@Losses

Canada

‡T.Beausoleil-MorrisonCG.MitalasCC.McLarnon

CANMET,Natural Resources Canada

94

7.2

Software@

Demonstrations

Demonstration of TRNSYS Use in Building Simulations

USA

N.J.BlairCJ.W.MitchellCW.A.Beckman

Solar Energy Laboratory University of Wisconsin

95

7.4

Software@

Demonstrations

Visualize-ITTM Model Calibration Tool Kit

USA

J.McCrayCP.BaileyC

J.L.Parker

RLW Analytics,Inc.

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