Home Energy Management System for Dynamic Loads using Mamdani Fuzzy Logic Approach

HEMS (home energy management systems) are controllers that manage and coordinate a home's generation, storage, and loads. These controllers are becoming increasingly important. To ensure that distributed energy penetration continues to grow resources are appropriately utilized and the process is not disrupted within the grid[1]. An approach to hems design based on behavioural control approaches is discussed in this paper which do not require accurate models or forecasts and are particularly responsive to changing situations, in this study. In this study, the role of the customer as well as the micro grid in intelligent demand management is demonstrated using MATLAB 2018 Fuzzy tool.[3]

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A Case Study of Socially-Accepted Potentials for the Use of End User Flexibility by Home Energy Management Systems

Sustainability ◽

10.3390/su13010132 ◽

2020 ◽

Vol 13 (1) ◽

pp. 132

Author(s):

Christian Pfeiffer ◽

Markus Puchegger ◽

Claudia Maier ◽

Ina V. Tomaschitz ◽

Thomas P. Kremsner ◽

...

Keyword(s):

Energy Management ◽

Management System ◽

Management Systems ◽

System Support ◽

Energy Management System ◽

Energy Management Systems ◽

Sample Area ◽

Home Energy Management ◽

Support Optimization ◽

Home Energy Management System

Due to the increase of volatile renewable energy resources, additional flexibility will be necessary in the electricity system in the future to ensure a technically and economically efficient network operation. Although home energy management systems hold potential for a supply of flexibility to the grid, private end users often neglect or even ignore recommendations regarding beneficial behavior. In this work, the social acceptance and requirements of a participatively developed home energy management system with focus on (i) system support optimization, (ii) self-consumption and self-sufficiency optimization, and (iii) additional comfort functions are determined. Subsequently, the socially-accepted flexibility potential of the home energy management system is estimated. Using methods of online household survey, cluster analysis, and energy-economic optimization, the socially-accepted techno-economic potential of households in a three-community cluster sample area is computed. Results show about a third of the participants accept the developed system. This yields a shiftable load of nearly 1.8 MW within the small sample area. Furthermore, the system yields the considerably larger monetary surplus on the supplier-side due to its focus on system support optimization. New electricity market opportunities are necessary to adequately reward a systemically useful load behavior of households.

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Intelligent home energy management system for distributed renewable generators, dispatchable residential loads and distributed energy storage devices

2017 8th International Renewable Energy Congress (IREC) ◽

10.1109/irec.2017.7926040 ◽

2017 ◽

Cited By ~ 1

Author(s):

Adetokunbo Ajao ◽

Jingwei Luo ◽

Zheming Liang ◽

Qais H. Alsafasfeh ◽

Wencong Su

Keyword(s):

Energy Storage ◽

Energy Management ◽

Energy Management System ◽

Distributed Energy ◽

Energy Storage Devices ◽

Storage Devices ◽

Intelligent Home ◽

Distributed Energy Storage ◽

Home Energy Management ◽

Home Energy Management System

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Willingness to Pay for Home Energy Management Systems: A Survey in New York and Tokyo

Sustainability ◽

10.3390/su11174790 ◽

2019 ◽

Vol 11 (17) ◽

pp. 4790 ◽

Cited By ~ 6

Author(s):

Ayu Washizu ◽

Satoshi Nakano ◽

Hideo Ishii ◽

Yasuhiro Hayashi

Keyword(s):

New York ◽

Willingness To Pay ◽

Automatic Control ◽

Energy Management ◽

Control Function ◽

Management Systems ◽

Energy Management System ◽

Energy Management Systems ◽

Home Energy Management ◽

Home Energy Management System

This study evaluates the acceptability of home energy management systems (HEMS) in New York and Tokyo using a questionnaire survey. We investigated three basic functions of HEMS: money saving, automatic control, and environmental impact, and then quantified people’s propensity to accept each of these three functions by measuring their willingness to pay. Using the willingness to pay results, we estimated the demand probability under a given usage price for each of the three functions of home energy management systems and analyzed how socio-economic and demographic factors influence the demand probability. The demand probability related to a home energy management system function decreases as the usage price of the function increases. However, depending on people’s socio-economic characteristics, the rate of decrease in demand probability relative to the rate of increase in usage price varies. Among the three functions of home energy management systems, we found that the automatic control function showed the highest demand probability in New York and Tokyo, emphasizing the significance of an automatic control function. In New York, when the home energy management system has an automatic control function, its demand probability increases, which is further enhanced if people trust their utility company. In Tokyo, when a home energy management system has an environmental impact function, its demand probability increases at a given price. People in Tokyo have anxieties related to new technologies such as home energy management systems. Therefore, it is necessary to enhance their comprehension of a home energy management systems to address this anxiety.

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End users’ motivations as a key for the adoption of the home energy management system

International Journal of Management and Economics ◽

10.2478/ijme-2019-0002 ◽

2019 ◽

Vol 55 (1) ◽

pp. 13-24 ◽

Cited By ~ 2

Author(s):

Jarosław Kowalski ◽

Bożena Ewa Matusiak

Keyword(s):

Energy Management ◽

Management System ◽

Demand Management ◽

End Users ◽

Energy Management System ◽

Long Distance ◽

Quantitative And Qualitative Research ◽

Home Energy Management ◽

Balancing Energy ◽

Home Energy Management System

Abstract Development of renewable energy means that there is a growing demand for technology that helps to manage and consume it in an optimal way, using more energy when it is produced on sunny/ windy days, preferably at the place of production, and avoiding long-distance transmission. This opens the field for solutions based on the Internet of Things (IoT) technologies, advanced demand management, and the concept of smart energy. The creation of a smart home energy management system (HEMS), which will help end users to manage the produced electricity, was the goal of the project entitled “e-balance – Balancing Energy Production and Consumption in Energy Efficient Smart Neighbourhoods”. Research with potential users carried out within the project showed that the existence of such systems in the home environment redefines the concept of electricity, which becomes tangible and always present in sight. Users also expected that the system would significantly reduce their electricity bills, an expectation which is not always confirmed by economic simulations. This means that the final solution will have to take account of other types of motivation and engagement, e.g., environmental ones. The paper presents conclusions from quantitative and qualitative research conducted within the “e-balance” project in Poland, Portugal, and the Netherlands.

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