A computational environment for building enclosure systems design | and control support via dynamic simulation-assisted optimization

Hamidreza Shirdel

ISBN 10: 6202323051 / ISBN 13: 9786202323055

Published by Südwestdeutscher Verlag für Hochschulschriften, 2018

About this Item

A computational environment for building enclosure systems design | and control support via dynamic simulation-assisted optimization | Hamidreza Shirdel | Taschenbuch | 144 S. | Englisch | 2018 | Südwestdeutscher Verlag für Hochschulschriften | EAN 9786202323055 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 115047792

Bibliographic Details

• Title: A computational environment for building enclosure systems design | and control support via dynamic simulation-assisted optimization
• Publisher: Südwestdeutscher Verlag für Hochschulschriften
• Publication Date: 2018
• Language: English
• ISBN 10: 6202323051
• ISBN 13: 9786202323055
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 10D millimeters 220 millimeters width by 150 millimeters height by 10 millimeters depth
• Weight: 233 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

In the last decades, a number of developments have made global optimization of large multi-dimensional design option spaces possible. Such developments include the increase in computing power, emergence of sophisticated optimization algorithms, and new techniques for the derivation of computationally highly efficient meta-models. Along with their promise, such developments also involve a number of potential drawbacks. For one thing, meta-models occasionally fail to capture the behaviour of "non-conventional" and complex designs. Another critical problem pertains to the potentially opaque nature of large-scale global optimization exercises, which make them less amenable to provision of intuitively graspable support in a naturally iterative design process. In this context, this research explores the potential of a novel approach toward iterative global optimization of locally optimized attribute clusters of building design solutions.