STUDY OF LOAD SHIFTING FOR SMART MICROGRID SYSTEMS INTEGRATED WITH SMART BUILDING LABTEK XIV

Along with the times and the increasing number of human population on earth, the need for energy is also getting bigger. Currently, most of the sources of electrical energy used in Indonesia come from fossil energy and only come from one source, namely PLN. Therefore, it is necessary to develop a sy...

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Main Author: Revo Guci, Ahmad
Format: Final Project
Language:Indonesia
Subjects:
Online Access:https://digilib.itb.ac.id/gdl/view/56990
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:56990
spelling id-itb.:569902021-07-23T09:41:20ZSTUDY OF LOAD SHIFTING FOR SMART MICROGRID SYSTEMS INTEGRATED WITH SMART BUILDING LABTEK XIV Revo Guci, Ahmad Teknik (Rekayasa, enjinering dan kegiatan berkaitan) Indonesia Final Project demand side management, energy, load shifting, load cover factor, load shifting, PVLIB, supply cover factor. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/56990 Along with the times and the increasing number of human population on earth, the need for energy is also getting bigger. Currently, most of the sources of electrical energy used in Indonesia come from fossil energy and only come from one source, namely PLN. Therefore, it is necessary to develop a system that aims to increase the efficiency of energy use by encouraging a reduction in consumer demand for electrical energy so that it can reduce the amount of energy generated and control the behavior of electricity usage to avoid load spikes at certain periods. This study was conducted to analyze the design of the control system and load management (demand side management) located in the Labtek XIV building or Freeport Indonesia Business Research Center School of Business and Management Bandung Institute of Technology (FIBRC SBM ITB). Simulations and tests were carried out to model the behavior of building loads and load shifting on air conditioner loads using Python devices as well as load measurements with several test conditions before and after the implementation of load control and management systems. At the initial stage, Photovoltaic (PV) production modeling was carried out using the PVLIB library and load profile modeling was carried out using three methods, namely Support Vector Regression (SVR), Artificial Neural Network (ANN), and Deep Neural Network (DNN). Load shifting is carried out referring to the modeling results with the lowest error value. The load cover factor (LCF) value before load shifting is 46% and the supply cover factor (SCF) value is 89%. After load shifting, the LCF value becomes 49% and the SCF value becomes 90%, while when entering the battery system, the LCF value becomes 77.5% and the SCF value is 94.6%. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
topic Teknik (Rekayasa, enjinering dan kegiatan berkaitan)
spellingShingle Teknik (Rekayasa, enjinering dan kegiatan berkaitan)
Revo Guci, Ahmad
STUDY OF LOAD SHIFTING FOR SMART MICROGRID SYSTEMS INTEGRATED WITH SMART BUILDING LABTEK XIV
description Along with the times and the increasing number of human population on earth, the need for energy is also getting bigger. Currently, most of the sources of electrical energy used in Indonesia come from fossil energy and only come from one source, namely PLN. Therefore, it is necessary to develop a system that aims to increase the efficiency of energy use by encouraging a reduction in consumer demand for electrical energy so that it can reduce the amount of energy generated and control the behavior of electricity usage to avoid load spikes at certain periods. This study was conducted to analyze the design of the control system and load management (demand side management) located in the Labtek XIV building or Freeport Indonesia Business Research Center School of Business and Management Bandung Institute of Technology (FIBRC SBM ITB). Simulations and tests were carried out to model the behavior of building loads and load shifting on air conditioner loads using Python devices as well as load measurements with several test conditions before and after the implementation of load control and management systems. At the initial stage, Photovoltaic (PV) production modeling was carried out using the PVLIB library and load profile modeling was carried out using three methods, namely Support Vector Regression (SVR), Artificial Neural Network (ANN), and Deep Neural Network (DNN). Load shifting is carried out referring to the modeling results with the lowest error value. The load cover factor (LCF) value before load shifting is 46% and the supply cover factor (SCF) value is 89%. After load shifting, the LCF value becomes 49% and the SCF value becomes 90%, while when entering the battery system, the LCF value becomes 77.5% and the SCF value is 94.6%.
format Final Project
author Revo Guci, Ahmad
author_facet Revo Guci, Ahmad
author_sort Revo Guci, Ahmad
title STUDY OF LOAD SHIFTING FOR SMART MICROGRID SYSTEMS INTEGRATED WITH SMART BUILDING LABTEK XIV
title_short STUDY OF LOAD SHIFTING FOR SMART MICROGRID SYSTEMS INTEGRATED WITH SMART BUILDING LABTEK XIV
title_full STUDY OF LOAD SHIFTING FOR SMART MICROGRID SYSTEMS INTEGRATED WITH SMART BUILDING LABTEK XIV
title_fullStr STUDY OF LOAD SHIFTING FOR SMART MICROGRID SYSTEMS INTEGRATED WITH SMART BUILDING LABTEK XIV
title_full_unstemmed STUDY OF LOAD SHIFTING FOR SMART MICROGRID SYSTEMS INTEGRATED WITH SMART BUILDING LABTEK XIV
title_sort study of load shifting for smart microgrid systems integrated with smart building labtek xiv
url https://digilib.itb.ac.id/gdl/view/56990
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