scholarly journals An analysis of energy saving through delamping method

Author(s):  
Mohd Firdaus Mohd Ab Halim ◽  
Muhamad Faizal Yaakub ◽  
Mohamad Haniff Harun ◽  
Khalil Azha Mohd Annuar ◽  
Farriz Hj Md Basar ◽  
...  

Electrical energy consumption is one of the focus areas in Green and Sustainable technology in the 21st century. Many energy consultants offers services to reduce the electricity consumption to the commercial consumer. Many proposals are focusing on selling their energy management system product which cost a lot of initial investment. The problem of applying energy management system is that the building needs major renovation. In this paper, electricity consumption is reduced through delamping method. The delamping is strategizing based on energy efficiency audit. This technique complies with the ASHRAE international standard for office building. The number of light reduced and electricity consumption from this exercise can translate into reduction of maintenance and electricity bill. The comparison of payback period for various energy saving techniques were discussed as well.

2020 ◽  
Vol 1569 ◽  
pp. 042004
Author(s):  
Adhiel Akbar ◽  
Junartho Halomoan ◽  
Desri Kristina Silalahi

2012 ◽  
Vol 590 ◽  
pp. 499-502
Author(s):  
Yoshito Nakajima ◽  
Takahiro Kaburagi ◽  
Takayuki Misu ◽  
Keishin Koh ◽  
Norikane Kanai

Technique and also education for energy saving is attracted attention in Japan. The suggestion about the energy management system utilized embedded technology using microcomputer control and a network system has been proposed. Home energy management system can be produced in replacing with ideas of robot control system. In this paper, we report the project to producing of model of Home Energy Management System utilizing a robot control technology with the LEGO MINDSTORMS Experimentally in PBL and it is developed the teaching and learning materials for high school students who could understand a flow of the energy management and energy saving.


2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Yunlong Ma ◽  
Xiao Chen ◽  
Liming Wang ◽  
Jianlan Yang

With the increase of household electricity consumption and the introduction of distributed new energy sources, more attention has been paid to the issue of optimizing the cost of electricity purchase for household customers. An effective way to deal with these problems is through home energy management system (HEMS). In this paper, a model of home energy management is presented to optimize the home energy mix. The operation of home electricity consumption devices, distributed generation systems, and energy storage devices, as well as the charging and discharging of electric vehicles, are all considered. HEMS is a self-regulating system that can accommodate fluctuations in tariffs and home electricity consumption. The structure and the optimal scheduling algorithm of HEMS are introduced. The smart grid and demand response, smart home, new energy generation, energy storage, and other related technologies are discussed. Furthermore, the optimal scheduling of power consumption devices and energy sources in the HEMS and future development directions are explained and analyzed. A framework of HEMS is presented on the basis of advanced metering infrastructure (AMI). The framework adopts a local information management terminal as the core of data storage and scheduling in the home. Based on the timely purchase of electricity from the grid and the generation of electricity in combination with PV systems, an optimized simulation model for the scheduling of a new home energy management system is established. In addition, the application prospects of artificial intelligence in the HEMS are overviewed.


Author(s):  
R. K. Chauhan ◽  
B. S. Rajpurohit ◽  
L. Wang ◽  
F. M. Gonzalez Longatt ◽  
S. N. Singh

Author(s):  
Ahmad Hermawan ◽  
Abdul Hakim ◽  
Marjono Marjono ◽  
Bambang Semedi

The increased production of electrical energy will lead to an increase on the use of fossil fuels which ultimately raise the Greenhouse Gas (GHG) emissions. The use of fossil fuels (non-renewable fuels) for large-scaled generation of electrical energy will certainly cause problems considering oil and coal reserves as the main source for PLTU will shrink and run out over time. In addition, several environmental problems need to be considered and studied regarding this condition. Thus, it is very important to efficiently use electrical energy according to Presidential Instruction No. 6 of 2014 concerning energy development which focused on sub-sectors electricity development and minimization of fossil energy use as well as development of new, renewable, and converted energies. Based on this, a system which can support energy saving is needed. A system used for regulating energy needs is called the Energy Management System (EMS). The study was conducted in the Malang State Polytechnic Campus which is located on Jalan Soekarno Hatta no. 9, Jatimulyo, Lowokwaru Sub-district, Malang City. The sample used in this study consists of 230 people, including 150 students, 30 lecturers and 50 academics. This study is purposed to examine the correlation of the four variables to the energy management system and the use of environmentally friendly energy. Thus, the most appropriate model to accommodate this requirement is Structural Equation Modeling (SEM). The results of SEM analysis showed that the model of an environmentally friendly electric energy management is said to be feasible to be developed, thus it can be collectively adapted in all aspects for creating a green campus.


This paper presents the details of the installation of the energy management system in the buildings of a typical Residential Building Residential Building in India and consequently the reduction of electrical energy consumption. Increasing People intake, the introduction of new courses, research centers and laboratories, and the rapid expansion of Residential Building infrastructure, are rapidly increasing the demand for electricity in universities. Most of the electrical energy consumed in universities in India is for air conditioning and lighting purposes. Established Building Energy Management System (BMS) continuously monitors the electrical load demand of air handling units (AHUs) and room lighting in buildings and reduces the load demand by fitting the AHU thermostats based on the work schedule. One day and on / off control of occupancy based on occupancy in different rooms from remote server rooms via Ethernet. Preliminary findings suggest that a significant reduction in load demand can be achieved in any Residential Building in India through the implementation of BMS, thereby contributing to the reduction of domestic oil consumption. If most universities in the country installed BMS on their Residential Buildinges, it would be possible for electric utilities to use real-time meter data, technology-enabled dynamic pricing, and decisive direct load control for fuel management. There are Residential Buildinges. This paper also highlights the future trend in BMS implementation in universities, as the Residential Building's DSM has a secure Residential Building area network that can effectively use demand response when enabled by high-bandwidth, two-way, end-to-end. Can. Communication in a smart grid environment.


Author(s):  
EungSuk Park ◽  
BoRam Kim ◽  
SooHyun Park ◽  
Daecheol Kim

The Home Energy Management System (HEMS) is a system for the efficient electric power consumption of each household. It can provide real-time electricity cost information according to electricity consumption, and households can immediately control their consumption of electricity. In this study, we analyzed the effects of the HEMS on the stability of demand for electric power. To do this, we analyzed the causal relationship between the amounts of electric power generation and consumption, from the system dynamics perspective. From the analysis, we found that in the current structure, the fluctuation of the quantity of demand became large due to the time delay in households recognizing the electric bill and adjusting their electric power consumption. However, when the HEMS was introduced, it could be seen that electric power demand remained stable since consumers could see their electricity bill in real-time and could manage their electricity consumption by themselves.


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