Settings for the energy simulation model.
<div><p>Well-designed building envelope components are essential in addressing global warming. Fenestration and shading system (F&SS) not only promote energy conservation and emission reduction but also enhance occupant satisfaction by improving indoor environments. However, existing...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | , |
| Published: |
2025
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1852019218759811072 |
|---|---|
| author | Zhenling Wu (20710067) |
| author2 | Yimin Xu (3545969) Zhuoyao Wang (18624820) |
| author2_role | author author |
| author_facet | Zhenling Wu (20710067) Yimin Xu (3545969) Zhuoyao Wang (18624820) |
| author_role | author |
| dc.creator.none.fl_str_mv | Zhenling Wu (20710067) Yimin Xu (3545969) Zhuoyao Wang (18624820) |
| dc.date.none.fl_str_mv | 2025-06-18T17:38:16Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0325290.t002 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Settings_for_the_energy_simulation_model_/29358592 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Space Science Biological Sciences not elsewhere classified xlink "> well shapley additive explanations provide practical guidance office buildings located offering new insights improving indoor environments factor closely tied building &# 8217 addressing global warming udi ), highlighting eui ), 23 promote energy conservation energy use intensity balancing energy efficiency balance energy consumption shading device dimensions useful daylight illuminance thermal comfort percentage study employs multi view quality considerations neglecting view quality thermal comfort view quality tcp ), shading system wall ratio substantial potential research refines recommended values proposed framework optimizing variables optimization goals objective optimization mental health humid climates emission reduction design parameters |
| dc.title.none.fl_str_mv | Settings for the energy simulation model. |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <div><p>Well-designed building envelope components are essential in addressing global warming. Fenestration and shading system (F&SS) not only promote energy conservation and emission reduction but also enhance occupant satisfaction by improving indoor environments. However, existing research often prioritizes energy use, daylight, and thermal comfort while neglecting view quality, a factor closely tied to mental health and productivity. This study employs multi-objective optimization (MOO) to balance energy consumption, view quality, daylight, and thermal comfort in office buildings located in hot-humid climates. By optimizing variables such as window-to-wall ratio (WWR) and shading device dimensions, the research integrates random forest models with SHapley Additive exPlanations (SHAP) analysis to quantify the influence of design parameters on optimization goals. Results indicate maximum improvements of 25.62% in energy use intensity (EUI), 23.18% in thermal comfort percentage (TCP), and 37.96% in useful daylight illuminance (UDI), highlighting the substantial potential of the proposed framework. This research refines the MOO framework for F&SS design, offering new insights into view quality considerations. Recommended values, such as a WWR of 0.6, provide practical guidance for architects in balancing energy efficiency and occupant comfort.</p></div> |
| eu_rights_str_mv | openAccess |
| id | Manara_d5ffeb5f4edf49e2a2df89ddbf03112a |
| identifier_str_mv | 10.1371/journal.pone.0325290.t002 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/29358592 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Settings for the energy simulation model.Zhenling Wu (20710067)Yimin Xu (3545969)Zhuoyao Wang (18624820)Space ScienceBiological Sciences not elsewhere classifiedxlink "> wellshapley additive explanationsprovide practical guidanceoffice buildings locatedoffering new insightsimproving indoor environmentsfactor closely tiedbuilding &# 8217addressing global warmingudi ), highlightingeui ), 23promote energy conservationenergy use intensitybalancing energy efficiencybalance energy consumptionshading device dimensionsuseful daylight illuminancethermal comfort percentagestudy employs multiview quality considerationsneglecting view qualitythermal comfortview qualitytcp ),shading systemwall ratiosubstantial potentialresearch refinesrecommended valuesproposed frameworkoptimizing variablesoptimization goalsobjective optimizationmental healthhumid climatesemission reductiondesign parameters<div><p>Well-designed building envelope components are essential in addressing global warming. Fenestration and shading system (F&SS) not only promote energy conservation and emission reduction but also enhance occupant satisfaction by improving indoor environments. However, existing research often prioritizes energy use, daylight, and thermal comfort while neglecting view quality, a factor closely tied to mental health and productivity. This study employs multi-objective optimization (MOO) to balance energy consumption, view quality, daylight, and thermal comfort in office buildings located in hot-humid climates. By optimizing variables such as window-to-wall ratio (WWR) and shading device dimensions, the research integrates random forest models with SHapley Additive exPlanations (SHAP) analysis to quantify the influence of design parameters on optimization goals. Results indicate maximum improvements of 25.62% in energy use intensity (EUI), 23.18% in thermal comfort percentage (TCP), and 37.96% in useful daylight illuminance (UDI), highlighting the substantial potential of the proposed framework. This research refines the MOO framework for F&SS design, offering new insights into view quality considerations. Recommended values, such as a WWR of 0.6, provide practical guidance for architects in balancing energy efficiency and occupant comfort.</p></div>2025-06-18T17:38:16ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0325290.t002https://figshare.com/articles/dataset/Settings_for_the_energy_simulation_model_/29358592CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/293585922025-06-18T17:38:16Z |
| spellingShingle | Settings for the energy simulation model. Zhenling Wu (20710067) Space Science Biological Sciences not elsewhere classified xlink "> well shapley additive explanations provide practical guidance office buildings located offering new insights improving indoor environments factor closely tied building &# 8217 addressing global warming udi ), highlighting eui ), 23 promote energy conservation energy use intensity balancing energy efficiency balance energy consumption shading device dimensions useful daylight illuminance thermal comfort percentage study employs multi view quality considerations neglecting view quality thermal comfort view quality tcp ), shading system wall ratio substantial potential research refines recommended values proposed framework optimizing variables optimization goals objective optimization mental health humid climates emission reduction design parameters |
| status_str | publishedVersion |
| title | Settings for the energy simulation model. |
| title_full | Settings for the energy simulation model. |
| title_fullStr | Settings for the energy simulation model. |
| title_full_unstemmed | Settings for the energy simulation model. |
| title_short | Settings for the energy simulation model. |
| title_sort | Settings for the energy simulation model. |
| topic | Space Science Biological Sciences not elsewhere classified xlink "> well shapley additive explanations provide practical guidance office buildings located offering new insights improving indoor environments factor closely tied building &# 8217 addressing global warming udi ), highlighting eui ), 23 promote energy conservation energy use intensity balancing energy efficiency balance energy consumption shading device dimensions useful daylight illuminance thermal comfort percentage study employs multi view quality considerations neglecting view quality thermal comfort view quality tcp ), shading system wall ratio substantial potential research refines recommended values proposed framework optimizing variables optimization goals objective optimization mental health humid climates emission reduction design parameters |