The Impact of Design Parameters on Energy Demand for Office Renovation

Chapter 6 showed that the office layout and desk location were the most influential design factors for the thermal and visual comfort of users, and layout and orientation were most influential for psychological comfort in office buildings. Office design parameters were analysed to optimise user sat...

Full description

Bibliographic Details
Main Author: Minyoung Kwon
Format: Article
Language:English
Published: Delft University of Technology 2020-01-01
Series:A+BE: Architecture and the Built Environment
Online Access:https://ojs-libaccp.tudelft.nl/index.php/abe/article/view/4453
id doaj-410bcef799084b8f803be692c8a94357
record_format Article
spelling doaj-410bcef799084b8f803be692c8a943572020-11-25T04:04:22ZengDelft University of TechnologyA+BE: Architecture and the Built Environment2212-32022214-72332020-01-01100110.7480/abe.2020.15.4453The Impact of Design Parameters on Energy Demand for Office RenovationMinyoung Kwon0TU Delft, Architecture and the Built Environment Chapter 6 showed that the office layout and desk location were the most influential design factors for the thermal and visual comfort of users, and layout and orientation were most influential for psychological comfort in office buildings. Office design parameters were analysed to optimise user satisfaction in relation to indoor environmental and organisational quality in office buildings by showing predictable models. However, the predicted satisfaction models had not been tested in terms of energy performance. Therefore, this chapter evaluates the energy performance of the predicted models by computational assessment.a Section 7.2 explains the energy simulation scheme, model typologies, and simulation parameters. Section 7.3 presents the comparison of energy simulation results based on three design factors such as office layout, orientation and WWR. The results present the differences of the energy demand according to the alternative office typologies and contribution of design factors. The annual energy demand of 24 models are compared on the basis of different model typologies, and present the most energy-efficient typologies in section 7.4. https://ojs-libaccp.tudelft.nl/index.php/abe/article/view/4453
collection DOAJ
language English
format Article
sources DOAJ
author Minyoung Kwon
spellingShingle Minyoung Kwon
The Impact of Design Parameters on Energy Demand for Office Renovation
A+BE: Architecture and the Built Environment
author_facet Minyoung Kwon
author_sort Minyoung Kwon
title The Impact of Design Parameters on Energy Demand for Office Renovation
title_short The Impact of Design Parameters on Energy Demand for Office Renovation
title_full The Impact of Design Parameters on Energy Demand for Office Renovation
title_fullStr The Impact of Design Parameters on Energy Demand for Office Renovation
title_full_unstemmed The Impact of Design Parameters on Energy Demand for Office Renovation
title_sort impact of design parameters on energy demand for office renovation
publisher Delft University of Technology
series A+BE: Architecture and the Built Environment
issn 2212-3202
2214-7233
publishDate 2020-01-01
description Chapter 6 showed that the office layout and desk location were the most influential design factors for the thermal and visual comfort of users, and layout and orientation were most influential for psychological comfort in office buildings. Office design parameters were analysed to optimise user satisfaction in relation to indoor environmental and organisational quality in office buildings by showing predictable models. However, the predicted satisfaction models had not been tested in terms of energy performance. Therefore, this chapter evaluates the energy performance of the predicted models by computational assessment.a Section 7.2 explains the energy simulation scheme, model typologies, and simulation parameters. Section 7.3 presents the comparison of energy simulation results based on three design factors such as office layout, orientation and WWR. The results present the differences of the energy demand according to the alternative office typologies and contribution of design factors. The annual energy demand of 24 models are compared on the basis of different model typologies, and present the most energy-efficient typologies in section 7.4.
url https://ojs-libaccp.tudelft.nl/index.php/abe/article/view/4453
work_keys_str_mv AT minyoungkwon theimpactofdesignparametersonenergydemandforofficerenovation
AT minyoungkwon impactofdesignparametersonenergydemandforofficerenovation
_version_ 1724436999210795008