GIS-BASED THERMAL LOAD ESTIMATION OF BUILDINGS IN THE NATIONAL SCIENCE COMPLEX, UP DILIMAN
Building thermal load is the energy exhausted to maintain a specific indoor temperature in comparison to the outdoor temperature. Majority of this energy makes use of a considerable amount of fossil fuels which contributes to greenhouse gases emission leading to global warming. Thermal load estimati...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2021-11-01
|
| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVI-4-W6-2021/289/2021/isprs-archives-XLVI-4-W6-2021-289-2021.pdf |
| _version_ | 1819000105720610816 |
|---|---|
| author | C. A. Tatlonghari J. A. Principe |
| author_facet | C. A. Tatlonghari J. A. Principe |
| author_sort | C. A. Tatlonghari |
| collection | DOAJ |
| description | Building thermal load is the energy exhausted to maintain a specific indoor temperature in comparison to the outdoor temperature. Majority of this energy makes use of a considerable amount of fossil fuels which contributes to greenhouse gases emission leading to global warming. Thermal load estimation of buildings allows people to identify infrastructures in need for retrofit for a more sustainable and smart urban management. This paper presents a small-scale study to estimate the thermal cooling load of fourteen (14) buildings in the National Science Complex of the University of the Philippines Diliman. Results of the annual cooling load calculation for the year 2020 was reported with an estimated lowest cooling load of 1,618 kW for the Philippine Atmospheric, Geophysical and Astronomical Services Administration (PAGASA) observatory and the highest cooling load of 13,484 kW for the Institute of Mathematics. The values calculated was an overestimation as the entire building was set up as a homogenous cold room without any windows or doors. For future work, it is recommended that input data be supplemented with digital surface model (DSM) and triangulated irregular network (TIN) raster data derived from Light Detection and Ranging (LiDAR) to not only categorize but assign specific values over each building group of the study area. |
| first_indexed | 2024-12-20T22:28:02Z |
| format | Article |
| id | doaj.art-f0d5bc36b33b4882b7b2e30bdcedecb6 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-20T22:28:02Z |
| publishDate | 2021-11-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-f0d5bc36b33b4882b7b2e30bdcedecb62022-12-21T19:24:46ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342021-11-01XLVI-4-W6-202128929410.5194/isprs-archives-XLVI-4-W6-2021-289-2021GIS-BASED THERMAL LOAD ESTIMATION OF BUILDINGS IN THE NATIONAL SCIENCE COMPLEX, UP DILIMANC. A. Tatlonghari0J. A. Principe1National Graduate School of Engineering, University of the Philippines Diliman, Quezon City, PhilippinesDept. of Geodetic Engineering, University of the Philippines Diliman, Quezon City, PhilippinesBuilding thermal load is the energy exhausted to maintain a specific indoor temperature in comparison to the outdoor temperature. Majority of this energy makes use of a considerable amount of fossil fuels which contributes to greenhouse gases emission leading to global warming. Thermal load estimation of buildings allows people to identify infrastructures in need for retrofit for a more sustainable and smart urban management. This paper presents a small-scale study to estimate the thermal cooling load of fourteen (14) buildings in the National Science Complex of the University of the Philippines Diliman. Results of the annual cooling load calculation for the year 2020 was reported with an estimated lowest cooling load of 1,618 kW for the Philippine Atmospheric, Geophysical and Astronomical Services Administration (PAGASA) observatory and the highest cooling load of 13,484 kW for the Institute of Mathematics. The values calculated was an overestimation as the entire building was set up as a homogenous cold room without any windows or doors. For future work, it is recommended that input data be supplemented with digital surface model (DSM) and triangulated irregular network (TIN) raster data derived from Light Detection and Ranging (LiDAR) to not only categorize but assign specific values over each building group of the study area.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVI-4-W6-2021/289/2021/isprs-archives-XLVI-4-W6-2021-289-2021.pdf |
| spellingShingle | C. A. Tatlonghari J. A. Principe GIS-BASED THERMAL LOAD ESTIMATION OF BUILDINGS IN THE NATIONAL SCIENCE COMPLEX, UP DILIMAN The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | GIS-BASED THERMAL LOAD ESTIMATION OF BUILDINGS IN THE NATIONAL SCIENCE COMPLEX, UP DILIMAN |
| title_full | GIS-BASED THERMAL LOAD ESTIMATION OF BUILDINGS IN THE NATIONAL SCIENCE COMPLEX, UP DILIMAN |
| title_fullStr | GIS-BASED THERMAL LOAD ESTIMATION OF BUILDINGS IN THE NATIONAL SCIENCE COMPLEX, UP DILIMAN |
| title_full_unstemmed | GIS-BASED THERMAL LOAD ESTIMATION OF BUILDINGS IN THE NATIONAL SCIENCE COMPLEX, UP DILIMAN |
| title_short | GIS-BASED THERMAL LOAD ESTIMATION OF BUILDINGS IN THE NATIONAL SCIENCE COMPLEX, UP DILIMAN |
| title_sort | gis based thermal load estimation of buildings in the national science complex up diliman |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVI-4-W6-2021/289/2021/isprs-archives-XLVI-4-W6-2021-289-2021.pdf |
| work_keys_str_mv | AT catatlonghari gisbasedthermalloadestimationofbuildingsinthenationalsciencecomplexupdiliman AT japrincipe gisbasedthermalloadestimationofbuildingsinthenationalsciencecomplexupdiliman |