CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

id ddss2008-41
authors Zimmermann, Gerhard
year 2008
title Individual Comfort in Open-Plan OfficesA Case Study
source H.J.P. Timmermans, B. de Vries (eds.) 2008, Design & Decision Support Systems in Architecture and Urban Planning, ISBN 978-90-6814-173-3, University of Technology Eindhoven, published on CD
summary Although it was proven by many field studies of office environments that complete thermal user satisfaction can only be achieved by setting the indoor climate to individual user preferences, open-plan offices do not support this requirement. In addition, irregular occupancy of such offices leads to suboptimal energy usage. This paper will show how the design of such offices can be supported by tools that integrate individual thermal user preferences and schedules into performance simulations to test and evaluate different partitioning structures, HVAC equipment, and control strategies in regard to satisfaction and energy consumption. A case study is used as demonstrator.
keywords Computer Aided Architectural Design, Simulation of Users and the Built Environment, User Satisfaction
series DDSS
full text file.pdf (225,613 bytes)
references Content-type: text/plain
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100%; open Fanger, P.O. (1970) Find in CUMINCAD Thermal Comfort, Analysis and Applications in Environmental Engineering , McGraw-Hill Book Company, New York
100%; open Mohammadi (2007) Find in CUMINCAD Modeling User Control of Lighting and Shading Devices in Office Buildings: An Empirical Case Study , Proceedings Building Simulation 2007, Bejing, China, 772-778
100%; open Tabak, V. (2008) Find in CUMINCAD User Simulation of Space Utilization , PhD thesis, Department of Architecture, Building and Planning, Technical University of Eindhoven, the Netherlands
100%; open Zimmermann, G. (2007) Find in CUMINCAD Modeling and Simulation of Individual User Behavior for Building Performance Predictions , Proc. 2007 Summer Computer Simulation Conference, San Diego, USA

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