Optimal provision for enhanced consumer satisfaction and energy savings by an intelligent household energy management system

Author(s):  
Ankita Gupta ◽  
Bhanu Pratap Singh ◽  
Rajesh Kumar
Author(s):  
Taufik Ridwan

As one manufacturing industry with a large level of energy consumption makes energy management mandatory applied at PT. XYZ, the purpose of this research is to design energy management system implementation strategy in PT. XYZ based on ISO 50001. Started by self assessment and by collecting data on the use of primary energy sources in the company, followed by processing and analyzing using simple linear regression. The self assessment results show 38% of the total value’s completeness of existing program in the clause of ISO 50001. From the processing and analyzing’s energy usage showed energy baseline and energy performance indicators (EnPI) of the company. The result of research is identifies and proposes the potential of energy savings in air compressor distribution system, steam boiler distribution, and electrical distribution system with good housekeeping, control system, and modification, proposes the energy management system implementation based on Deming’s PDCA cycle, and continued by recommending roadmap towards the implementation of energy management systems. 


Author(s):  
SANGEETA MODI ◽  
RITU NAIYA ◽  
SHAIK SHABANA

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.


The emergence of automation and smart power management systems pave to create a better energy management system. Measuring energy savings and potential reduction of peak demand in a building due to adjustment of AHU (Air Handling Unit) setpoint during working hours is critical for ideal demand-side allocations. Since Air Handling Units are one of the major energy consuming system in a building. This has been a great challenge given too many variable physical characteristics and AHU system thermal dynamics in commercial buildings. Based on the building model, developed and authenticate against measured power consumption data from a smart energy meter, this project deals with how energy savings and peak demand reduction potentials of a building are impacted by AHU, setpoint changes during a working period. It is of the utmost necessity to make a prototype for an existing AHU in order to minimize wastage of power in older buildings without any major renovation. This can be achieved by making the existing system into a closed loop system by our model prototype.


2011 ◽  
Vol 204-210 ◽  
pp. 1737-1740 ◽  
Author(s):  
Qi Zhang ◽  
Xiao Ying Wang ◽  
Da Wei Zhang ◽  
Tao Du ◽  
Jiu Ju Cai

Energy management system (EMS) will be one of energy-saved technologies for iron and steel route. The paper analyzes EMS structure and development focusing on the energy forecasting, optimization and other key technologies in iron and steel works. Taking gas management subsystem of EMS as an example, the forecasting and optimization are described. Byproduct gas is one of important energy medium in energy system, which can play a significant role in energy savings in iron and steel works. In this paper, the models of byproduct gas generation, consumption prediction and optimal utilization are developed for predicting and distributing byproduct gases to make them emit zero. The results show that: EMS should have hardware and software technology conditions to exert its functions; Energy medium, such as byproduct gas and steam, prediction and optimization will be play an important role in energy conservation and emission reduction.


Electronics ◽  
2019 ◽  
Vol 8 (7) ◽  
pp. 763 ◽  
Author(s):  
Bruno Mataloto ◽  
Joao C. Ferreira ◽  
Nuno Cruz

This work presents the efforts on optimizing energy consumption by deploying an energy management system using the current IoT component/system/platform integration trends through a layered architecture. LoBEMS (LoRa Building and Energy Management System), the proposed platform, was built with the mindset of proving a common platform that would integrate multiple vendor locked-in systems together with custom sensor devices, providing critical data in order to improve overall building efficiency. The actions that led to the energy savings were implemented with a ruleset that would control the already installed air conditioning and lighting control systems. This approach was validated in a kindergarten school during a three-year period, resulting in a publicly available dataset that is useful for future and related research. The sensors that feed environmental data to the custom energy management system are composed by a set of battery operated sensors tied to a System on Chip with a LoRa communication interface. These sensors acquire environmental data such as temperature, humidity, luminosity, air quality but also motion. An already existing energy monitoring solution was also integrated. This flexible approach can easily be deployed to any building facility, including buildings with existing solutions, without requiring any remote automation facilities. The platform includes data visualization templates that create an overall dashboard, allowing management to identify actions that lead to savings using a set of pre-defined actions or even a manual mode if desired. The integration of the multiple systems (air-conditioning, lighting and energy monitoring) is a key differentiator of the proposed solution, especially when the top energy consumers for modern buildings are cooling and heating systems. As an outcome, the evaluation of the proposed platform resulted in a 20% energy saving based on these combined energy saving actions.


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