scholarly journals Installation and Implementation of Energy Management Sytem in the Residential Buildings for Sustainable Development

2020 ◽  
Vol 9 (3) ◽  
pp. 2374-2378
Keyword(s):  
Energy Management ◽  
Dynamic Pricing ◽  
Management System ◽  
Residential Buildings ◽  
Residential Building ◽  
Electrical Energy ◽  
Rapid Expansion ◽  
Energy Management System ◽  
Area Network ◽  
Load Demand

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.

scholarly journals Multi-Objective Fuzzy Logic-Based Energy Management System for Microgrids with Battery and Hydrogen Energy Storage System

Electronics ◽  
2020 ◽  
Vol 9 (7) ◽  
pp. 1074 ◽  
Author(s):  
Francisco José Vivas ◽  
Francisca Segura ◽  
José Manuel Andújar ◽  
Adriana Palacio ◽  
Jaime Luis Saenz ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Energy Storage ◽  
Energy Management ◽  
Management System ◽  
Storage System ◽  
Energy Storage System ◽  
Energy Management System ◽  
Hydrogen Energy ◽  
Economic Point ◽  
Load Demand

This paper proposes a fuzzy logic-based energy management system (EMS) for microgrids with a combined battery and hydrogen energy storage system (ESS), which ensures the power balance according to the load demand at the time that it takes into account the improvement of the microgrid performance from a technical and economic point of view. As is known, renewable energy-based microgrids are receiving increasing interest in the research community, since they play a key role in the challenge of designing the next energy transition model. The integration of ESSs allows the absorption of the energy surplus in the microgrid to ensure power supply if the renewable resource is insufficient and the microgrid is isolated. If the microgrid can be connected to the main power grid, the freedom degrees increase and this allows, among other things, diminishment of the ESS size. Planning the operation of renewable sources-based microgrids requires both an efficient dispatching management between the available and the demanded energy and a reliable forecasting tool. The developed EMS is based on a fuzzy logic controller (FLC), which presents different advantages regarding other controllers: It is not necessary to know the model of the plant, and the linguistic rules that make up its inference engine are easily interpretable. These rules can incorporate expert knowledge, which simplifies the microgrid management, generally complex. The developed EMS has been subjected to a stress test that has demonstrated its excellent behavior. For that, a residential-type profile in an actual microgrid has been used. The developed fuzzy logic-based EMS, in addition to responding to the required load demand, can meet both technical (to prolong the devices’ lifespan) and economic (seeking the highest profitability and efficiency) established criteria, which can be introduced by the expert depending on the microgrid characteristic and profile demand to accomplish.

scholarly journals Home Electrical Energy Management System Using DijCostMin Algorithm

2020 ◽  
Vol 1569 ◽  
pp. 042004
Author(s):  
Adhiel Akbar ◽  
Junartho Halomoan ◽  
Desri Kristina Silalahi
Keyword(s):  
Energy Management ◽  
Management System ◽  
Electrical Energy ◽  
Energy Management System

scholarly journals INTELLIGENT ENERGY MANAGEMENT SYSTEM FOR RESIDENTIAL BUILDINGS BASED ON ZIGBEE TECHNOLOGY

2013 ◽  
pp. 181-186
Author(s):  
SANGEETA MODI ◽  
RITU NAIYA ◽  
SHAIK SHABANA
Keyword(s):  
Energy Management ◽  
Management System ◽  
Energy Use ◽  
Energy Savings ◽  
Residential Buildings ◽  
Sensor Technology ◽  
Energy Management System ◽  
Present Scheme ◽  
Electricity Cost ◽  
Zigbee Technology

Energy consumption in residential buildings account for 20 to 40 per cent of total energy consumed in a country and therefore represents a significant and potential source of energy savings. An Intelligent Energy Management System can contribute to major reductions of energy use in hundreds of millions of buildings. This paper gives an overview of sensor technology and wireless networks in the development of an intelligent energy management system for residential buildings (IEMSRB). This technology has ample potential to change the way we live and work. In this paper ZigBee is used as a communication medium in building intelligent energy management system. From the prototype setup, it is shown that ZigBee is a suitable technology to be adopted as the communication infrastructure in energy management system for residential buildings .The performance analysis discussed in this paper verifies the effectiveness of using ZigBee in energy management system. The novelty of the present scheme is its ability to save the energy and improve the performance as it learns and gains more experience in real-time operations. Results also demonstrate that the proposed scheme can achieve the minimum electricity cost for residential customers. The proposed system can be installed and maintained in residential environments with ease.

scholarly journals Microgrid Energy Management System for Residential Microgrid Using an Ensemble Forecasting Strategy and Grey Wolf Optimization

Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8489
Author(s):  
Usman Bashir Tayab ◽  
Junwei Lu ◽  
Seyedfoad Taghizadeh ◽  
Ahmed Sayed M. Metwally ◽  
Muhammad Kashif
Keyword(s):  
Energy Management ◽  
Management System ◽  
Ensemble Forecasting ◽  
Small Scale ◽  
Energy Management System ◽  
Grey Wolf ◽  
Grey Wolf Optimization ◽  
Scheduling Strategy ◽  
Load Demand ◽  
Microgrid Energy Management

Microgrid (MG) is a small-scale grid that consists of multiple distributed energy resources and load demand. The microgrid energy management system (M-EMS) is the decision-making centre of the MG. An M-EMS is composed of four modules which are known as forecasting, scheduling, data acquisition, and human-machine interface. However, the forecasting and scheduling modules are considered the major modules from among the four of them. Therefore, this paper proposed an advanced microgrid energy management system (M-EMS) for grid-connected residential microgrid (MG) based on an ensemble forecasting strategy and grey wolf optimization (GWO) based scheduling strategy. In the forecasting module of M-EMS, the ensemble forecasting strategy is proposed to perform the short-term forecasting of PV power and load demand. The GWO based scheduling strategy has been proposed in scheduling module of M-EMS to minimize the operating cost of grid-connected residential MG. A small-scale experiment is conducted using Raspberry Pi 3 B+ via the python programming language to validate the effectiveness of the proposed M-EMS and real-time historical data of PV power, load demand, and weather is adopted as inputs. The performance of the proposed forecasting strategy is compared with ensemble forecasting strategy-1, particle swarm optimization based artificial neural network, and back-propagation neural network. The experimental results highlight that the proposed forecasting strategy outperforms the other strategies and achieved the lowest average value of normalized root mean square error of day-ahead prediction of PV power and load demand for the chosen day. Similarly, the performance of GWO based scheduling strategy of M-EMS is analyzed and compared for three different scenarios. Finally, the experimental results prove the outstanding performance of the proposed scheduling strategy.

scholarly journals Environmentally Friendly Electric Energy Development Model

2021 ◽  
Vol 8 (7) ◽  
pp. 303
Author(s):  
Ahmad Hermawan ◽  
Abdul Hakim ◽  
Marjono Marjono ◽  
Bambang Semedi
Keyword(s):  
Energy Management ◽  
Management System ◽  
Structural Equation ◽  
Fossil Fuels ◽  
Electric Energy ◽  
Environmentally Friendly ◽  
Electrical Energy ◽  
Energy Development ◽  
Equation Modeling ◽  
Energy Management System

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.

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