DITA ANGGRAINI - Academia.edu (original) (raw)
Papers by DITA ANGGRAINI
One of the big energy consumption of a building is in the field of HVAC (Heating, Ventilating, Ai... more One of the big energy consumption of a building is in the field of HVAC (Heating, Ventilating, Air conditioning). In tropical area such as Indonesia , the air conditioning is extremely needed to achieve the thermal comfort in the room. Kwok, 1990 formulated in his dissertation, thermal comfort for tropical area is about 22 ℃ while the average temperature in tropical area such as Indonesia is 25 ℃-27 ℃. Thermal comfort in the room must be considered to obtain high productivity in carrying out activities in the room. One of the commercial buildings which require room conditioning is school classroom building. To get the comfortable learning condition, the room temperature must be set up comfortably. One problem is that the room air cooling energy consumption is high and tend to be inefficient because of the unnecessary utilization. This paper designed the system based on neural networks predictive control for control the classroom temperature based on the ambient temperature and the presence of students in the class. The control purpose was to control the room temperature with a corresponding optimal temperature inputs and the environment accordance with the standards of thermal comfort. In this paper the authors were designing and simulating the control process using the Matlab R2013a software. The obtained result from the design of neural networks predictive control was that the room temperature was fluctuating but still closed to the set point that was 22 ℃. The average controlled room temperature was 22.36 ℃, that result closed to the set point and suitable with the standards of thermal comfort. From these result it can be concluded that the neural networks predictive control can be used for classrooms cooling control by considering the fluctuating environment temperature input.
E3S Web of Conferences, 2018
Green School Bali, an international school which provides education for sustainability through en... more Green School Bali, an international school which provides education for sustainability through entrepreneurial learning and natural environment won the Zayed Future Energy Prize for developing the new renewable energy projects. Currently, Green School is supported by 2 main power sources which come from Indonesian State Electricity Company (PLN) and Photovoltaics (PV) system electricity with power reach 23.1 kW and 21.6 kWp respectively. Both of the sources are distributed to the load based on the manual balancing and daily manual switching, which create the unbalanced load and high power loss. The key to achieving sustainable energy management is the availability of accurate measurement, recording, and analysis system of the power quality in the whole buildings. To meet the requirement of the sustainable energy management system at Green School, the monitoring system of the power and energy at Green School is developed. This system contains 2 data loggers and an Internet of Things ...
MATTER: International Journal of Science and Technology, 2015
Indonesia as a maritime country which is located at 60 N - 110 S latitude and 950– 1410 E longitu... more Indonesia as a maritime country which is located at 60 N - 110 S latitude and 950– 1410 E longitude has an ocean area reach out 5,000,000 km2. This biggest archipelago country in the world has great ocean energy potential. In the other hand, Indonesian electricity energy demand always increase. Data from Central Bureau of Statistics of Indonesia ( Badan Pusat Statistik) record that in the year 2013, Indonesian electricity consumption achieved 185.9 GWh and it was 234.9 % of Indonesian electricity consumption in 2000. It is indicated by this condition that Indonesia need another alternative energy sources to supply the electricity needs. The ocean energy potential makes Ocean Wave Energy (OWE) precise to be developed in Indonesia. In this paper, study of OWE with Oscillating Water Column (OWC) converter is discussed. Numerical method is used to analyze the quantitative approach of OWE potential in Indonesia. For the calculation, it is assumed that chamber width is 2.5 m and ocean water density is 1030 kg/m3. To calculate the energy, data of ocean significant height from Indonesian Agency for Meteorology, Climatology and Geophysics (BMKG) is used. Power efficiency is assumed to reach 70% and from the numerical calculation, the Indonesian OWE potential distribution can be represented. The greatest power that can be produced is located in Aru Islands and Arafuru Sea, which is reach out 313 kW and has minimum value 55 kW. The median value of ocean power is located in the south coast of Middle Java, Timor Sea, and Banda Sea which have maximum value 198 kW and minimum value 20 kW. This ocean wave energy can be increased by the converter amount and chamber width modification. From the calculation it can be concluded that OWE can be potential alternative energy source in Indonesia. Article DOI: https://dx.doi.org/10.20319/mijst.2016.s11.228239 This work is licensed under the Creative Commons Attribution-Non-commercial 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA
One of the big energy consumption of a building is in the field of HVAC (Heating, Ventilating, Ai... more One of the big energy consumption of a building is in the field of HVAC (Heating, Ventilating, Air conditioning). In tropical area such as Indonesia , the air conditioning is extremely needed to achieve the thermal comfort in the room. Kwok, 1990 formulated in his dissertation, thermal comfort for tropical area is about 22 ℃ while the average temperature in tropical area such as Indonesia is 25 ℃-27 ℃. Thermal comfort in the room must be considered to obtain high productivity in carrying out activities in the room. One of the commercial buildings which require room conditioning is school classroom building. To get the comfortable learning condition, the room temperature must be set up comfortably. One problem is that the room air cooling energy consumption is high and tend to be inefficient because of the unnecessary utilization. This paper designed the system based on neural networks predictive control for control the classroom temperature based on the ambient temperature and the presence of students in the class. The control purpose was to control the room temperature with a corresponding optimal temperature inputs and the environment accordance with the standards of thermal comfort. In this paper the authors were designing and simulating the control process using the Matlab R2013a software. The obtained result from the design of neural networks predictive control was that the room temperature was fluctuating but still closed to the set point that was 22 ℃. The average controlled room temperature was 22.36 ℃, that result closed to the set point and suitable with the standards of thermal comfort. From these result it can be concluded that the neural networks predictive control can be used for classrooms cooling control by considering the fluctuating environment temperature input.
E3S Web of Conferences, 2018
Green School Bali, an international school which provides education for sustainability through en... more Green School Bali, an international school which provides education for sustainability through entrepreneurial learning and natural environment won the Zayed Future Energy Prize for developing the new renewable energy projects. Currently, Green School is supported by 2 main power sources which come from Indonesian State Electricity Company (PLN) and Photovoltaics (PV) system electricity with power reach 23.1 kW and 21.6 kWp respectively. Both of the sources are distributed to the load based on the manual balancing and daily manual switching, which create the unbalanced load and high power loss. The key to achieving sustainable energy management is the availability of accurate measurement, recording, and analysis system of the power quality in the whole buildings. To meet the requirement of the sustainable energy management system at Green School, the monitoring system of the power and energy at Green School is developed. This system contains 2 data loggers and an Internet of Things ...
MATTER: International Journal of Science and Technology, 2015
Indonesia as a maritime country which is located at 60 N - 110 S latitude and 950– 1410 E longitu... more Indonesia as a maritime country which is located at 60 N - 110 S latitude and 950– 1410 E longitude has an ocean area reach out 5,000,000 km2. This biggest archipelago country in the world has great ocean energy potential. In the other hand, Indonesian electricity energy demand always increase. Data from Central Bureau of Statistics of Indonesia ( Badan Pusat Statistik) record that in the year 2013, Indonesian electricity consumption achieved 185.9 GWh and it was 234.9 % of Indonesian electricity consumption in 2000. It is indicated by this condition that Indonesia need another alternative energy sources to supply the electricity needs. The ocean energy potential makes Ocean Wave Energy (OWE) precise to be developed in Indonesia. In this paper, study of OWE with Oscillating Water Column (OWC) converter is discussed. Numerical method is used to analyze the quantitative approach of OWE potential in Indonesia. For the calculation, it is assumed that chamber width is 2.5 m and ocean water density is 1030 kg/m3. To calculate the energy, data of ocean significant height from Indonesian Agency for Meteorology, Climatology and Geophysics (BMKG) is used. Power efficiency is assumed to reach 70% and from the numerical calculation, the Indonesian OWE potential distribution can be represented. The greatest power that can be produced is located in Aru Islands and Arafuru Sea, which is reach out 313 kW and has minimum value 55 kW. The median value of ocean power is located in the south coast of Middle Java, Timor Sea, and Banda Sea which have maximum value 198 kW and minimum value 20 kW. This ocean wave energy can be increased by the converter amount and chamber width modification. From the calculation it can be concluded that OWE can be potential alternative energy source in Indonesia. Article DOI: https://dx.doi.org/10.20319/mijst.2016.s11.228239 This work is licensed under the Creative Commons Attribution-Non-commercial 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA