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Building Simulation '89, Vancouver, Canada   June 23-24

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Session Title

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ARCHITECT/

ENGINEER APPLICAT10NS

 

 

 

 

1

8.1

General

BEPAC – Building Environmental Performance Analysis Club

UK

Stephen J.Irving

BEPAC

2

7.3

General

Promising (& not so Promising) Developments in Energy Analysis Software

UK

Dwight A. Beranek   Linda K.Lawrie

U.S. Army Corps of Engineers

3

3.3

Interface

Modelling of Thermal Systems from Technical Sketches to Equations

Belgium

Jean Lebrun

Universite de Liege

4

7.1

Interface

Calpas4 - Four Years Later

USA

Charles S.Barnaby

BSG Software

5

7.3

Real Buildings

Building Simulation Reconciliation Using Empirical Data

Canada

Manuel Carabott

Engineering Interface Limited

6

6.3

Real Buildings

Simulation & Optimization in the Real Time Control of Building Environmental Systems

USA

Z.Cumarli  0.Sezgen

CCB/Cumali Associates

7

3.4

Real Buildings

A Building & Plant Real Time Simulation System

China

Q.S. Yan  Yi Jiang  Y.X. Zhu

Dep.of Thermal Engineering, Tsinghua University

8

7.2

Lighting

The Interaction of Building Lighting & HVAC Systems

USA

Jay P.Conniff    Robert A

Ross & Baruzzini, Inc.

9

5.1

Lighting

Simulation in Lighting Cost Analysis

USA

Clay Belcher

University of Kansas

10

3.6

Lighting

Impact of Interior Lighting Power Reductions on Commercial Building Energy Use

USA

Timothy R. Steele

Bonneville Power Administration

11

1.2

Lighting

The Simulation of Building Lighting Systems

UK

J.A.Clarke M.Grant, ABACUS, University of Strathclyde

ESRU(Energy Simulation Research Unit University of Strathclyde)

12

5.1

Daylight-Windows

Luminance in Computer-Aided Lighting Design

USA

Gregory J. Ward   Francis M. Rubinstein   Anat Grynberg

Lighting Systems Research Group,Lawrence Berkeley Laboratory

13

1.2

Daylight-Windows

Daylighting in a Hot-Arid Area

USA

Jong-Jin Kim

School of Architecture ,Arizona State University

14

3.1

Daylight-Windows

Window Energy Performance Comparison Program for Non-Residential Buildings

USA

Ross McCluney

Florida Solar Energy Center

15

3.6

Daylight-Windows

Verification of Energy Savings in Residential Housing

Germany

Rolf Diemer

University of Stuttgart

16

8.5

Daylight-Windows

RESEM: An Evaluation Tool for Energy Retrofits in Institutional Buildings

USA

William L. Carroll   Bruce E. Birdsall   Robert J. Hitchcock   Ronald C. Kammerud

Applied Science Division , Lawrence Berkeley Laboratory

17

7.1

Daylight-Windows

Development of a Methodology to Evaluate the Energy & Comfort Performance ofFenestration

USA

R. Sullivan   S. Selkowitz

Applied Science Division , Lawrence Berkeley Laboratory

 

 

MODEL AND CODE DEVELOPMENT

 

 

 

 

18

1.1

Ground Transfer

Multiple Input Transfer Function Model of Ground Heat Transfer

USA

JoAnn Amber   Curtis O. Pedersen

U.S. Army CERL

19

3.1

Ground Transfer

Three Dimensional Modelling of Slab-on-Grade Heat Transfer

USA

William P. Bahnfleth   Curtis O. Pedersen

U.S. Army CERL

20

7.1

Next Generation

Object-Oriented Programming, Equation-Based Submodels, and System Reduction in SPANK

USA

Edward F. Sowell   W. Fred Buhl  Jean-Michel Nataf

Dep.of Computer Science, California State University

21

7.3

Next Generation

A Neutral Format for Building Simulation Models

USA

Per Sahlin   Edward F. Sowell

Swedish Institute of Applied Mathematics

22

1.1

Next Generation

Considerations for Advanced Building Thermal Simulation Programs

USA

George N. Walton

National Institute for Standards and Technology

23

7.3

Modelling Technology

Building Performance Simulation in a Commercial Software Environment

USA

Robert C.Sonderegger

Sr. VP,Research & Development Morgan Systems Corp.

24

3.3

Modelling Technology

Techniques for Simultaneous Simulation of Buildings & Mechanical Systems in Heat Techniques for Simultaneous Simulation of Buildings & Mechanical Systems in Heat  Balance Based Energy Analysis Programs

USA

Michael J. Witte  Curtis O. Pedersen  Jeffrey Spitler

Dep.of Mechanical and Industrial Engineering University of Illinois

25

7.1

Modelling Technology

Concepts Supporting Reuse of Models

Sweden

Sven Erik Mattsson

Dep.of Automatic Control Lund lnstitute of Technology

26

8.4

Modelling Technology

Building Energy Simulations for Design, Evaluation, Commissioning, Control &Diagnostics

USA

Kris Subbarao  J.D.Burch   C.E.Hancock

Solar Energy Research Institute

27

7.1

Modelling Technology

Model-Based Computer Aided Modelling:A Approach for Building Energy Simulation Improvement

France

Anne-Marie Dubois

CSTB(Center Scientifique et Technique du Batiment)

28

8.3

Modelling Technology

Product Models of Buildings and Their Relevance to Building Simulation

Finland

Bo-Christer Bjork

Technical Research Centre of Finland

29

3.3

Modelling Technology

Building & HVAC Simulation: The Need for Well-Suited Models

France

Louis Laret

CSTB

30

8.4

Validation

Computer Simulation/End-Use Metering or "Can We Count on Energy Savings Estimates in Designing Demand-Side Programs? "

USA

Dick Jamieson  StephenB. Harding

Bonneville Power Adminstration

31

8.4

Validation

How Good Are Single Zone – Monthly Based - Correlation Methods for Building Energy and Comfort Performance Assessment

Belgium

Rik Van de Perre   A.Massart

Vrije Universiteit Brussel

32

7.4

Validation

Evaluation Procedures for Building Thermal Simulation Programs

UK

David P.Bloomfield

Systems Performance Prediction Section, Building Research Establishment

33

3.6

International Energy Agency

Evaluation of Energy Use of Buildinngs, Systems, & Plants

Germany

Wolfram Stephan

University of Stuttgart

34

2.5

International Energy Agency

A Summaly of Building Energy Design & Analysis Tool Evaluation Results from IEA Task 8

USA

Michael J. Holtz   David N. Wortman

Architectural Energy Corporation

35

8.6

International Energy Agency

Advances in Building Simulation

Canada

Dan Seth

Research Development and Demonstration,Technology Public Works Canada

36

8.6

International Energy Agency

Discussion Paper on IEA Annex XXI - Calculation of Energy and Environmental   Performance of Buildings

Canada

Dan Seth

Research Development and Demonstration,Technology Public Works Canada

 

 

SOFTWARE USERS

 

 

 

 

37

4.3

IAQ Modelling

Indoor Air Quality Simulation: IAQPC

USA

M.Kathleen Owen  P.A. Lawless   D.S. Ensor

Research Triangle Institute and L.E .Sparks

38

1.4

IAQ Modelling

The COMIS Infiltration Model

USA

Helmut Feustel   Francis Allard   Victor B. Dorer   Mario Grosso   Magnus Herrlin   Liu Mingsheng   J.C. Phaff   Yasuo Utsumi    Hiroshi Yoshino

Applied Science Division Lawrence Berkeley Laboratory

39

7.3

IAQ Modelling

Predictions of Thermal Comfort & Pollutant Distributions for a   Thermostatically-Controlled, Air-Conditioned, Partitioned Room:   Numerical Results and Enhanced Graphical Presentation

USA

Mark White   L.Loren Eyler

Pacific Northwest Laboratory

40

8.7

IAQ Modelling

Perturbations in AtmospheriC Density Caused by High Rise Buildings and Their   Effect on Atmospheric Observations - A Case Study

USA

Richard E. Kirts   Calvin A. Kodres

U.S. Naval Civil Engineering   Laboratory

41

1.4

IAQ Modelling

The Cost of Increased Ventilation Air

Canada

Earnest S. McCutcheon   Marino Vardabasso

RTM Engineering Ltd.

42

1.4

IAQ Modelling

A New Model to Compute Air Distribution

France

Roger Pelletret   Hala Khodr

CSTB

43

3.1

Approaches

A Primer on the Use of Coefficients in Building Simulation Analysis

USA

Jeffrey D. Spitler   Daniel E. Fisher   David C. Zietlow

Dep.of Mechanical and Industriail Engineering University of Illinois

44

7.3

Approaches

Building Energy Simulation: Delivering the Power to the Profession

UK

Joe A. Clarke   J. Rutherford

ESRU, University of Strathclyde

45

7.3

Approaches

The Use of the Combine Program with DOE2.C1C

USA

Michael Hatten

Brown & Caldwell Consulting

46

6.6

Controls

Rule-Based Diagnostic Method for HVAC Fault Detection

USA

Stanley T.Liu   George E.Kelly

Center for Building Technology  National Institute of Standards and Technology

47

6.6

Controls

Simulation of Local Loop Controls

UK

Philip Haves   A.L. Dexter

University of Oxford

48

7.1

Moisture Modelling

Modelling Heat, Moisture and Contaminant Transport in Buildings: Toward a New    Generation of Software

USA

Alp Kerestecioglu   Muthusamy Swami   Philip Fairey   Lixing Gu   Subrato Chandra

Florida Solar Energy Center

49

8.6

Moisture Modelling

Condensation Targeter: The Integration of a Thermal and Moisture Model

UK

Tadj Oreszczyn  David Boyd   Paul Cooper

Research Associate  Polytechnic of Central London

50

3.1

Moisture Modelling

The Analysis of Enthalpy Control Strategies & Its Application in Hot & Humid Climates

Taiwan

K.H.Yang   R.L.H.Hwang  Y.P.Ker

Institute of Mechanical Engineering  National Sun Yat-Sen University

51

3.1

HVAC Modelling

Thermal Energy Storage System Sizing

USA

Dominique Dumortier   Ron Kammerud   Bruce Birdsall  Brandt Andersson  Joe Eto  William L. Carroll   Fred Winkelmann

Lawrence Berkeley Laboratory

52

3.3

HVAC Modelling

Development of a Component Program Libraly for Building Energy Simulation -   A Japanese Experience

Japan

Hisaya lshino   Masanori Shukuya  Kimiko Kohri

Dep.of Architecture Engineering, Tokyo Metropolitan University

53

8.6

HVAC Modelling

Commercial Building HVAC Technology Screening Tools

USA

Ingrid Rohmund

Regional Economic Research

54

2.1

HVAC Modelling

Accurate Boiler Models for Large Scale Simulation

France

Louis Laret

CSTB

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