Data · dataset · 2022
Determined buildings internal heat load density profiles
Listed in Teesside University Research Data Repository
In absence of real data on occupants and electric devices patterns, nominal values and schedules of internal heat loads given by existing related standards can be adopted for buildings energy modelling.
Description
Since different results can be obtained depending on the standard, the choice of the proper one, based only on given nominal values and schedules, could be not straightforward. As a novelty, this study reports a comparison among the energy implications of different building internal heat load profiles from current standards.
To this aim, typical building floors representing common residential and office rooms composition were defined. Then, different days’ profiles and peaks of the overall internal heat loads densities due to occupancy, equipment, and artificial lighting, obtained from selected standards, are analyzed and compared together with the resulting different annual internal heat load density components and their effect on building annual thermal energy needs.
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Hence, insights to choose the most suitable standard, depending on the study context, are provided. Moreover, the calculated values of internal heat loads densities can be directly adopted as an early-stage approach in energy simulation models, neglecting detailing the building rooms’ composition. The attached file regards the set of determined buildings internal heat load density profiles, reported as charts as well as detailed in tables to be directly adopted as an early-stage approach in energy simulation models, neglecting detailing the building rooms’ composition.
Links
Where it is published
- DOI doi.org/10.17632/y36xdhr63p.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Energy · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Building 74% · Simulation 75%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/y36xdhr63p.1 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:group:3302 | enrichment · researchdata tees ac uk | taxonomy-embedding@1.0.0 | title+keywords+description (74%) |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:energy | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[method].local:method:simulation | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |