scholarly journals MODELO DE GESTIÓN DE ENERGÍA ELÉCTRICA DOMICILIARIA: PROPUESTA PRELIMINAR

2015 ◽  
Vol 6 (1) ◽  
pp. 95 ◽  
Author(s):  
Adriana Marcela Vega ◽  
Francisco Santamaria Piedrahita ◽  
Edwin Rivas Trujillo

Se propone una aproximación conceptual de un modelo de gestión de energía en el hogar, denominado GEDE (Gestión de Energía Eléctrica Domiciliaria), el cual tiene como fin principal contribuir con la eficiencia energética domiciliaria; el modelo involucra protocolos de comunicación, infraestructura y software como herramienta de gestión para la toma de decisiones energéticas, relacionadas con el consumo y/o generación de energía eléctrica por parte del usuario final residencial.Home energy management model: preliminary proposalAbstract A conceptual approach of a home energy management model called GEDE (acronym in Spanish), which mainly aims at contributing to the domiciliary energy efficiency is proposed; The model involves communication protocols, infrastructure and software as a management tool for making energy decisions related to consumption and / or generation of electricity from the residential end user.Keywords: domotic, monitoring, protocols, home management, software.

Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1540 ◽  
Author(s):  
Alexander Melnik ◽  
Kirill Ermolaev

Energy efficiency improvement in industrial companies is an essential prerequisite for the enhancement of their competitive positions in the national and global markets. Yet, the approaches currently employed in respect of the energy management do not fully utilize the innovative potential of energy technologies to achieve strategic goals. One way to further develop energy management is theoretical justification of the use of new approaches based on the suggested concept of the energy saving and energy efficiency processes’ positioning in the system of a company’s management priorities. In this article, we consider the applied use of the developed conceptual approach from the perspective of the energy saving and energy efficiency program development at the company. The main purpose of this paper is to justify the relations between energy management and strategic decision making in industrial companies. The results of the research conducted, firstly, make a certain contribution into the research of strategic multiple benefits of energy efficiency in a company; secondly, they expand understanding of the impact of energy saving and energy efficiency improvement on the achievement of operational, tactical and strategic results of the company’s activities; thirdly, they provide methodological decision support for the development of energy saving and energy efficiency programs taking into account the management and organizational barriers.


2018 ◽  
Vol 8 (12) ◽  
pp. 2337 ◽  
Author(s):  
Yu-Hsiu Lin

Smart cities are built to help people address issues like air pollution, traffic optimization, and energy efficiency. Electrical energy efficiency has become a central research issue in the energy field. Smart houses and buildings, which lower electricity costs, form an integral part of a smart city in a smart grid. This article presents an Internet of Things (IoT)-oriented smart Home Energy Management System (HEMS) that identifies electrical home appliances based on a novel hybrid Unsupervised Automatic Clustering-Integrated Neural-Fuzzy Classification (UAC-NFC) model. The smart HEMS designed and implemented in this article is composed of (1) a set of IoT-empowered smart e-meters, called smart sockets, installed as a benchmark in a realistic domestic environment with uncertainties and deployed against non-intrusive load monitoring; (2) a central Advanced Reduced Instruction Set Computing machine-based home gateway configured with a ZigBee wireless communication network; and (3) a cloud-centered analytical platform constructed to the hybrid UAC-NFC model for Demand-Side Management (DSM)/home energy management as a load classification task. The novel hybrid UAC-NFC model proposed in DSM and presented in this article is used to overcome the difficulties in distinguishing electrical appliances operated under similar electrical features and classified as unsupervised and self-organized. The smart HEMS developed with the proposed novel hybrid UAC-NFC model for DSM was able to identify electrical household appliances with an acceptable average and generalized classification rate of 95.73%.


2018 ◽  
Vol 204 ◽  
pp. 01017
Author(s):  
Isaree Srikun

The research of electricity sustainable energy management model for holistic community development aims to (1) study the electric energy management and human behavior towards energy efficiency in Phranakhon Rajabhat University, (2) study the cooperation of relevant agencies and the role of community participants between Faculty of Industrial Technology, Phranakhon Rajabhat University and other organizations and (3) study benefits, problems, obstacles and suggestions in implementing the proposed energy management model in the pilot area. From the experimental results, it was found that the effective energy management requires several factors to achieve. Also, the collaborative model among relevant agencies, faculty, staff, students as community owners is essential to promote energy awareness among students and faculty staff.


Sign in / Sign up

Export Citation Format

Share Document