An intelligent lighting energy management system for commercial and residential buildings

2015 ◽  
Author(s):  
Siriporn Bannamas ◽  
Peerapol Jirapong
Keyword(s):  
Energy Management ◽  
Management System ◽  
Residential Buildings ◽  
Energy Management System ◽  
Lighting Energy

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 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.

Lighting Energy Management System Based on PC’s Power Save Mode

2012 ◽  
Vol 253-255 ◽  
pp. 741-745 ◽  
Author(s):  
Jin Soo Han ◽  
Youn Kwae Jeong ◽  
Il Woo Lee
Keyword(s):  
Control System ◽  
Energy Management ◽  
Management System ◽  
Energy Use ◽  
Building Energy ◽  
Energy Management System ◽  
Lighting Control ◽  
Lighting Energy ◽  
Power Save Mode ◽  
Positive Effect

Lighting energy shares a large portion of building energy. Although lighting control system is deployed in the building, it has limited effects on reducing lighting energy use without the help of occupancy sensors. We use PC’s power save mode as an occupancy sensor in office buildings that are not equipped with occupancy sensors. When each PC goes to power save mode, it means that there is no one in that area, that is, no occupancy. If we make mapping relation between the lights and the PC’s, we can figure out when the light should be turned on and off from the state of PC’s power save mode. This scheme can contribute to reduction of lighting energy use in buildings that has lighting control system but has no occupancy sensors. The estimated results show the positive effect on reduction of the lighting energy use.

Home Energy Management System (HEMS): Coupled Flexible Load Management in Homes

2021 ◽  
Author(s):  
Yilin Jiang ◽  
Li Song ◽  
Janet K. Allen ◽  
Farrokh Mistree
Keyword(s):  
Decision Support ◽  
Energy Management ◽  
Management System ◽  
Residential Buildings ◽  
Peak Load ◽  
Cost Savings ◽  
Load Management ◽  
Energy Management System ◽  
Home Energy Management ◽  
Home Energy Management System

Abstract Electricity suppliers have introduced time-of-use (TOU) metering and pricing in residential buildings in recent years. By increasing the price of electricity during on-peak hours (e.g., 2 pm to 7 pm in summer months), suppliers expect to regulate the energy usage from homeowners when the grid is near capacity. Therefore, homeowners are motivated to shift the load by moving their home electricity use from on-peak hours to off-peak hours for utility cost savings. However, peak load management is another factor that needs to be considered, since a higher peak load might cause other penalties, such as making suppliers change their current tariff policy in the next paying period since the grid needs to fulfill a higher demand. In this paper we explore the Home Energy Management System (HEMS) Strategy for homeowners who are considering saving money by reducing/avoiding the on-peak hour electricity usage while reducing peak load. A multi-goal scheduling problem is solved by constructing a coupled compromise decision support problem in which a water heater is coupled with flexible, non-thermal appliances such as a washing machine. To address these multiple goals, we use Decision Support Problem (DSP) construct. A use case simulation shows that our scheduler can make a reasonable tradeoff between two conflicting goals, helping the homeowner save money while maintaining low peak demand.

scholarly journals Efficient Energy Management System using Zigbee for Residential Application

2019 ◽  
Vol 8 (4) ◽  
pp. 1406-1411
Keyword(s):  
Energy Consumption ◽  
Energy Management ◽  
Management System ◽  
Residential Buildings ◽  
Peak Time ◽  
Energy Management System ◽  
Efficient Energy ◽  
Home Appliances ◽  
Cost Of Energy ◽  
The Cost

Energy management system is one of the challenging tasks associated with residential buildings. The cost of energy is purely based on the amount of energy consumed during peak hours. This paper focuses on an efficient energy management system for the control of energy consumption during peak hours. ZigBee module is used to monitor the energy consumed by the home appliances. The working of the proposed system is categorized into two modes of operation: normal time and peak time. During normal time, all home appliances can be operated and the cost of energy will be at normal rate. Whereas, during peak time, high rating machines will be shut down, that is controlled by ZigBee and the light loads will be operated from battery supply. Thus the proposed system reduces the energy consumption and is cost effective. Simulation analysis is done using proteus software. Hardware model is also implemented which proves that the proposed energy management system improves the energy efficiency.

scholarly journals Hybridized Intelligent Home Renewable Energy Management System for Smart Grids

2020 ◽  
Vol 12 (5) ◽  
pp. 2117 ◽  
Author(s):  
Yonghong Ma ◽  
Baixuan Li
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Smart Grid ◽  
Energy Management ◽  
Management System ◽  
Residential Buildings ◽  
Renewable Energies ◽  
Energy Management System ◽  
Network Systems ◽  
Intelligent Home

The incorporation of renewable energies and power storage at distribution facilities are one of the important features in the smart grid. In this paper, a hybridized intelligent home renewable energy management system (HIHREM) that combines solar energy and energy storage services with the smart home is planned based on the demand response and time of consumption pricing is applied to programs that offer discounts to consumers that reduce their energy consumption during high demand periods. The system is designed and handled with minimal energy requirements at home through installation of renewable energy, preparation, and arrangement of power stream during peak and off-peak periods. The best energy utilization of residential buildings with various overlapping purposes is one of the most difficult issues correlated with the implementation of intelligent micro-network systems. A major component of the smart grid, the domestic energy control system (HIHREM) provides many benefits, such as power bill reductions, reduction in wind generation, and demand compliance. This showed that the proposed energy scheduling method minimizes the energy consumption by 48% and maximizes the renewable energy consumed at the rate 65% of the total energy generated. A new model for smart homes with renewable energies is introduced in this report. The proposed HIHREM method achieves high performance and reduces cost-utility.

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