Energy Management System for Domestic Electrical Appliances

2012 ◽  
Vol 3 (4) ◽  
pp. 48-60 ◽  
Author(s):  
Kuo-Ming Chao ◽  
Nazaraf Shah ◽  
Raymond Farmer ◽  
Adriana Matei
Keyword(s):  
Energy Consumption ◽  
Real Time ◽  
Energy Management ◽  
Large Volume ◽  
Management Systems ◽  
Time Data ◽  
Consumption Behavior ◽  
Data Services ◽  
Energy Management Systems ◽  
Reduce Energy Consumption

A variety of energy management systems are currently available for domestic domain, and many are concerned with real-time energy consumption monitoring and display of statistical and real time data of energy consumption. Although these systems play a crucial role in providing a detailed picture of energy consumption in home environment and contribute to influencing energy consumption behavior, households are required to then take appropriate measures to reduce energy consumption. Some energy management systems provide energy saving tips but they do not take into account households’ profiles and energy consumption of home appliances. To generate an effective and real time appliance level advice on energy consumption, the system must be able to cope with a large volume of data. The proposed system addresses this issue by taking into account household profiles and energy consumption of domestic electrical appliances. The system also uses an approach based on functional data services to deal with the challenge of processing a large volume of data in real time.

scholarly journals Estimation of Self-Sufficiency Rate in Detached Houses Using Home Energy Management System Data

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 975
Author(s):  
Masato Oota ◽  
Yumiko Iwafune ◽  
Ryozo Ooka
Keyword(s):  
Energy Consumption ◽  
Energy Management ◽  
Management Systems ◽  
Household Type ◽  
Energy Management Systems ◽  
Household Sector ◽  
Water Heaters ◽  
Self Sufficiency ◽  
Home Energy Management ◽  
Reduce Energy Consumption

Japan’s energy consumption in 2018 was about 2.5 times that in 1975, with the increase in the household sector being the largest at 28%. Most of primary energy is still fossil fuel, and it is urgent to reduce energy consumption in the household sector. The purpose of this paper was to identify ways to reduce household energy consumption without compromising the quality of life in residence. However, the reduction methods vary by region, building specifications, household type, equipment specifications, season, and weather. The value of this paper is based on a systematic analysis of home energy management systems (HEMS) data from about 50,000 households under various conditions. We are analyzing ways to reduce energy consumption. Few studies have analyzed this much back-up data, which is likely to lead to a reduction in CO2 emissions across the household sector. To explore ways to reduce energy consumption in this sector, the company has introduced and provided services for home energy management systems (HEMS) since 2011 and is currently collecting HEMS data for up to 50,000 households. In order to grasp the actual state of energy consumption in each household, HEMS data are systematically analyzed, necessary conditions for energy reduction and self-sufficiency rate (SSR) improvement are analyzed, and energy consumption under certain conditions is estimated using storage batteries (SB) and heat pump water heaters (HPWH). In addition, energy consumption was investigated by actual measurement and simulation for several hundred households. Since power generation and consumption vary greatly depending on the region, building specifications, household type, equipment specifications, season, weather, etc., it is necessary to analyze these factors systematically. As a conclusion, in order to improve SSR, it is necessary to (1) reduce surplus power consumption and energy consumption of heat pump water heaters (HPWHs), (2) increase solar power generation, and (3) increase the size of SB. This study contributes to the spread of advanced housing and the reduction of CO2 emissions in the household sector.

Contemporary Energy Management Systems and Future Prospects

2021 ◽  
pp. 1984-2013
Author(s):  
Amir Manzoor
Keyword(s):  
Energy Consumption ◽  
Energy Management ◽  
User Participation ◽  
Energy Utilization ◽  
Security And Privacy ◽  
Management Systems ◽  
Future Research ◽  
Energy Management Systems ◽  
Research Areas ◽  
Emerging Trends

The transformation of electric grid into smart grid has improved management of available resources and increased energy efficiency. Energy management systems (EMS) play an important role in enhancing user participation in control of energy management. Using such systems, consumers can obtain information about their energy consumption patterns and shape their energy consumption behaviors for efficient energy utilization. Contemporary EMS utilizes advanced analytics and ICT to provide consumers actionable feedback and control of energy management. These systems provide high availability, an easy-to-use user interface, security, and privacy. This chapter explores the contemporary EMS, their applications, classifications, standards, and frameworks. The chapter defines a set of requirements for EMS and provides feature comparison of various EMS. The chapter also discusses emerging trends and future research areas in EMS.

scholarly journals A real-time evaluation of energy management systems for smart hybrid home Microgrids

2017 ◽  
Vol 143 ◽  
pp. 624-633 ◽  
Author(s):  
Mousa Marzband ◽  
Seyedeh Samaneh Ghazimirsaeid ◽  
Hasan Uppal ◽  
Terrence Fernando
Keyword(s):  
Real Time ◽  
Energy Management ◽  
Management Systems ◽  
Energy Management Systems ◽  
Time Evaluation

Sensor-based ambient intelligence for optimal energy efficiency

Sensor Review ◽  
2014 ◽  
Vol 34 (2) ◽  
pp. 170-181 ◽  
Author(s):  
David Robinson ◽  
David Adrian Sanders ◽  
Ebrahim Mazharsolook
Keyword(s):  
Energy Efficiency ◽  
Decision Support ◽  
Energy Consumption ◽  
Energy Management ◽  
Research Work ◽  
Management Systems ◽  
Manufacturing Companies ◽  
Content Type ◽  
Energy Management Systems

Purpose – This paper aims to describe research work to create an innovative, and intelligent solution for energy efficiency optimisation. Design/methodology/approach – A novel approach is taken to energy consumption monitoring by using ambient intelligence (AmI), extended data sets and knowledge management (KM) technologies. These are combined to create a decision support system as an innovative add-on to currently used energy management systems. Standard energy consumption data are complemented by information from AmI systems from both environment-ambient and process ambient sources and processed within a service-oriented-architecture-based platform. The new platform allows for building of different energy efficiency software services using measured and processed data. Four were selected for the system prototypes: condition-based energy consumption warning, online diagnostics of energy-related problems, support to manufacturing process lines installation and ramp-up phase, and continuous improvement/optimisation of energy efficiency. Findings – An innovative and intelligent solution for energy efficiency optimisation is demonstrated in two typical manufacturing companies, within one case study. Energy efficiency is improved and the novel approach using AmI with KM technologies is shown to work well as an add-on to currently used energy management systems. Research limitations/implications – The decision support systems are only at the prototype stage. These systems improved on existing energy management systems. The system functionalities have only been trialled in two manufacturing companies (the one case study is described). Practical implications – A decision support system has been created as an innovative add-on to currently used energy management systems and energy efficiency software services are developed as the front end of the system. Energy efficiency is improved. Originality/value – For the first time, research work has moved into industry to optimise energy efficiency using AmI, extended data sets and KM technologies. An AmI monitoring system for energy consumption is presented that is intended for use in manufacturing companies to provide comprehensive information about energy use, and knowledge-based support for improvements in energy efficiency. The services interactively provide suggestions for appropriate actions for energy problem elimination and energy efficiency increase. The system functionalities were trialled in two typical manufacturing companies, within one case study described in the paper.

scholarly journals Design of Ensemble Forecasting Models for Home Energy Management Systems

Energies ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 7664
Author(s):  
Karol Bot ◽  
Samira Santos ◽  
Inoussa Laouali ◽  
Antonio Ruano ◽  
Maria da Graça Ruano
Keyword(s):  
Energy Consumption ◽  
Energy Management ◽  
Simple Procedure ◽  
Ensemble Forecasting ◽  
Management Systems ◽  
Energy Forecasting ◽  
Energy Management Systems ◽  
Ensemble Techniques ◽  
Home Energy Management ◽  
Home Energy Management System

The increasing levels of energy consumption worldwide is raising issues with respect to surpassing supply limits, causing severe effects on the environment, and the exhaustion of energy resources. Buildings are one of the most relevant sectors in terms of energy consumption; as such, efficient Home or Building Management Systems are an important topic of research. This study discusses the use of ensemble techniques in order to improve the performance of artificial neural networks models used for energy forecasting in residential houses. The case study is a residential house, located in Portugal, that is equipped with PV generation and battery storage and controlled by a Home Energy Management System (HEMS). It has been shown that the ensemble forecasting results are superior to single selected models, which were already excellent. A simple procedure was proposed for selecting the models to be used in the ensemble, together with a heuristic to determine the number of models.

Contemporary Energy Management Systems and Future Prospects

2016 ◽  
pp. 265-292
Author(s):  
Amir Manzoor
Keyword(s):  
Energy Consumption ◽  
Energy Management ◽  
User Participation ◽  
Energy Utilization ◽  
Security And Privacy ◽  
Management Systems ◽  
Future Research ◽  
Energy Management Systems ◽  
Research Areas ◽  
Emerging Trends

The transformation of electric grid into smart grid has improved management of available resources and increased energy efficiency. Energy management systems (EMS) play an important role in enhancing user participation in control of energy management. Using such systems, consumers can obtain information about their energy consumption patterns and shape their energy consumption behaviors for efficient energy utilization. Contemporary EMS utilizes advanced analytics and ICT to provide consumers actionable feedback and control of energy management. These systems provide high availability, an easy-to-use user interface, security, and privacy. This chapter explores the contemporary EMS, their applications, classifications, standards, and frameworks. The chapter defines a set of requirements for EMS and provides feature comparison of various EMS. The chapter also discusses emerging trends and future research areas in EMS.

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