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Development of Green Zone Energy Mapping for Community-based Low Carbon Emissions

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@article{IJASEIT12642,
   author = {I Ketut Swardika and Putri Alit Widyastuti Santiary and Ida Bagus Irawan Purnama and I Wayan Suasnawa},
   title = {Development of Green Zone Energy Mapping for Community-based Low Carbon Emissions},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {10},
   number = {6},
   year = {2020},
   pages = {2472--2477},
   keywords = {radiance; threshold; energy mapping; carbon emissions; night-time.},
   abstract = {

The world is heading to digital industrial 4.0; this means everything must be connected. In another-word, energy consumption demand will elevate exponentially scale. Smart-green sources are being substantial to save the sustainability of energy and the environment. The development of green energy alternatives, with low-zero emission sources, becomes potential. However, the urban-city initiative's monitoring and active-management energy pattern are more effective than investing in a new renewable energy source. This paper proposes a new method to build a regulation-system that monitors excessive energy used from the radiance threshold of night-time satellite data. This research dataset consists of light-meter surveys, DMSP-OLS and NPP-VIIRS night-time satellite datasets, and other supporting data. The outcome is a class-criteria zone energy map with three criteria class, ambient, moderate, and excessive. The radiance threshold class determined from cross-analysis of night-time satellite data with light-meter surveys through regression analysis. The histogram of radiance distribution reveals the profiling of the class-criteria. Results show moderate-class becomes a key to attention and can be used to disclose any aspect of spatial-temporal dynamical of urban-cycle. By using this method provides an effective way of assessing energy uses with space-technology.

},    issn = {2088-5334},    publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},    url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=12642},    doi = {10.18517/ijaseit.10.6.12642} }

EndNote

%A Swardika, I Ketut
%A Santiary, Putri Alit Widyastuti
%A Purnama, Ida Bagus Irawan
%A Suasnawa, I Wayan
%D 2020
%T Development of Green Zone Energy Mapping for Community-based Low Carbon Emissions
%B 2020
%9 radiance; threshold; energy mapping; carbon emissions; night-time.
%! Development of Green Zone Energy Mapping for Community-based Low Carbon Emissions
%K radiance; threshold; energy mapping; carbon emissions; night-time.
%X 

The world is heading to digital industrial 4.0; this means everything must be connected. In another-word, energy consumption demand will elevate exponentially scale. Smart-green sources are being substantial to save the sustainability of energy and the environment. The development of green energy alternatives, with low-zero emission sources, becomes potential. However, the urban-city initiative's monitoring and active-management energy pattern are more effective than investing in a new renewable energy source. This paper proposes a new method to build a regulation-system that monitors excessive energy used from the radiance threshold of night-time satellite data. This research dataset consists of light-meter surveys, DMSP-OLS and NPP-VIIRS night-time satellite datasets, and other supporting data. The outcome is a class-criteria zone energy map with three criteria class, ambient, moderate, and excessive. The radiance threshold class determined from cross-analysis of night-time satellite data with light-meter surveys through regression analysis. The histogram of radiance distribution reveals the profiling of the class-criteria. Results show moderate-class becomes a key to attention and can be used to disclose any aspect of spatial-temporal dynamical of urban-cycle. By using this method provides an effective way of assessing energy uses with space-technology.

%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=12642 %R doi:10.18517/ijaseit.10.6.12642 %J International Journal on Advanced Science, Engineering and Information Technology %V 10 %N 6 %@ 2088-5334

IEEE

I Ketut Swardika,Putri Alit Widyastuti Santiary,Ida Bagus Irawan Purnama and I Wayan Suasnawa,"Development of Green Zone Energy Mapping for Community-based Low Carbon Emissions," International Journal on Advanced Science, Engineering and Information Technology, vol. 10, no. 6, pp. 2472-2477, 2020. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.10.6.12642.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Swardika, I Ketut
AU  - Santiary, Putri Alit Widyastuti
AU  - Purnama, Ida Bagus Irawan
AU  - Suasnawa, I Wayan
PY  - 2020
TI  - Development of Green Zone Energy Mapping for Community-based Low Carbon Emissions
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 10 (2020) No. 6
Y2  - 2020
SP  - 2472
EP  - 2477
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - radiance; threshold; energy mapping; carbon emissions; night-time.
N2  - 

The world is heading to digital industrial 4.0; this means everything must be connected. In another-word, energy consumption demand will elevate exponentially scale. Smart-green sources are being substantial to save the sustainability of energy and the environment. The development of green energy alternatives, with low-zero emission sources, becomes potential. However, the urban-city initiative's monitoring and active-management energy pattern are more effective than investing in a new renewable energy source. This paper proposes a new method to build a regulation-system that monitors excessive energy used from the radiance threshold of night-time satellite data. This research dataset consists of light-meter surveys, DMSP-OLS and NPP-VIIRS night-time satellite datasets, and other supporting data. The outcome is a class-criteria zone energy map with three criteria class, ambient, moderate, and excessive. The radiance threshold class determined from cross-analysis of night-time satellite data with light-meter surveys through regression analysis. The histogram of radiance distribution reveals the profiling of the class-criteria. Results show moderate-class becomes a key to attention and can be used to disclose any aspect of spatial-temporal dynamical of urban-cycle. By using this method provides an effective way of assessing energy uses with space-technology.

UR - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=12642 DO - 10.18517/ijaseit.10.6.12642

RefWorks

RT Journal Article
ID 12642
A1 Swardika, I Ketut
A1 Santiary, Putri Alit Widyastuti
A1 Purnama, Ida Bagus Irawan
A1 Suasnawa, I Wayan
T1 Development of Green Zone Energy Mapping for Community-based Low Carbon Emissions
JF International Journal on Advanced Science, Engineering and Information Technology
VO 10
IS 6
YR 2020
SP 2472
OP 2477
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 radiance; threshold; energy mapping; carbon emissions; night-time.
AB 

The world is heading to digital industrial 4.0; this means everything must be connected. In another-word, energy consumption demand will elevate exponentially scale. Smart-green sources are being substantial to save the sustainability of energy and the environment. The development of green energy alternatives, with low-zero emission sources, becomes potential. However, the urban-city initiative's monitoring and active-management energy pattern are more effective than investing in a new renewable energy source. This paper proposes a new method to build a regulation-system that monitors excessive energy used from the radiance threshold of night-time satellite data. This research dataset consists of light-meter surveys, DMSP-OLS and NPP-VIIRS night-time satellite datasets, and other supporting data. The outcome is a class-criteria zone energy map with three criteria class, ambient, moderate, and excessive. The radiance threshold class determined from cross-analysis of night-time satellite data with light-meter surveys through regression analysis. The histogram of radiance distribution reveals the profiling of the class-criteria. Results show moderate-class becomes a key to attention and can be used to disclose any aspect of spatial-temporal dynamical of urban-cycle. By using this method provides an effective way of assessing energy uses with space-technology.

LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=12642 DO - 10.18517/ijaseit.10.6.12642