scholarly journals Research and Practice of Big Data Technology in Energy System

2021 ◽  
Vol 898 (1) ◽  
pp. 012003
Author(s):  
Zhihui Ye ◽  
Jie Qian ◽  
Wenjuan Wang ◽  
Dingke Shi ◽  
Lifeng Chen
Keyword(s):  
Big Data ◽  
Energy Management ◽  
General Pattern ◽  
Energy System ◽  
Air Conditioning System ◽  
Energy Management Systems ◽  
Industrial Enterprises ◽  
Big Data Application ◽  
And Performance ◽  
Big Data Technology

Abstract The characteristics of the massive data is inspected which is accumulated by the energy management system of industrial enterprises during the production process. They are real-time, massive, non-linear, and even unstructured, meanwhile some implicit correlation are hidden between them. These correlations have not yet been fully learned and unearthed. Here big data technology is proposed to improve the availability of energy data for the energy saving and consumption reduction. The general pattern of big data application is proposed in energy management systems. On this basis, some algorithms are applied to the actual management process, including parameter prediction, status monitoring, operation optimization and performance evaluation. Finally, two practical examples of the constructed model are presented including compressed air prediction and Operation prediction of air-conditioning system. The results show that big data technology can improve the efficiency of data acquisition, expand data applications, and exert greater data value.

scholarly journals Research and Analysis of an Enterprise E-Commerce Marketing System Under the Big Data Environment

2021 ◽  
Vol 33 (6) ◽  
pp. 1-19
Author(s):  
Linze Li ◽  
Jun Zhang
Keyword(s):  
Big Data ◽  
Online Shopping ◽  
Practical Significance ◽  
Marketing System ◽  
Database Query ◽  
Online Sales ◽  
Modern Business ◽  
And Performance ◽  
Performance Conditions ◽  
Big Data Technology

As an emerging online shopping method, e-commerce has been widely popular since the popularization of the Internet. Online sales and online shopping have become the trend of modern business development. However, the functionality and performance conditions of the existing platform cannot be closely integrated with the merchant's own business. The purpose of this paper is to study the enterprise e-commerce marketing system based on big data. The system design of this paper adopts SSH framework as the main technology, the database selects HBase database, and the front end combines with Web2.0 technology for the interaction of interface display and operation. The experimental results show that applying big data technology to enterprise e-commerce marketing system has extremely important practical significance. Perform a performance analysis on this system,when the amount of data reaches 4000, the speed of HBase is 10.486s, and the query time of Mysql is 50.184s. It can be seen that the Hbase database query speed is much faster than the Mysql database query speed.

Improving the energy efficiency of industrial enterprises on the basis of the formation of energy management system

2018 ◽  
Author(s):  
Людмила Федоськина ◽  
Lyudmila Fedoskina ◽  
Евгений Абрамов ◽  
Eugene Abramov
Keyword(s):  
Energy Efficiency ◽  
Energy Saving ◽  
Energy Management ◽  
Management System ◽  
National Standards ◽  
Management Systems ◽  
Energy Management System ◽  
Energy Management Systems ◽  
Industrial Enterprises

The monograph examines the trends and prospects of energy efficiency management of industrial enterprises, taking into account international and domestic experience. Theoretical and methodological provisions in the field of energy efficiency management are considered and practical approaches to the formation of energy management systems based on the requirements of international and national standards ISO 50001 taking into account the Russian practice of energy saving and energy efficiency management are proposed. For researchers dealing with energy efficiency management of enterprises

scholarly journals Agilometer: An Effective Implementation of Internet of Things for Agile Demand Response

2017 ◽  
Vol 2 (2) ◽  
pp. 58
Author(s):  
Muhammad Babar ◽  
J. Grela ◽  
A. Ozadowicz ◽  
P.H. Nguyen ◽  
Z. Hanzelka ◽  
...  
Keyword(s):  
Energy Management ◽  
Demand Response ◽  
Energy System ◽  
Evaluation Study ◽  
Energy Management Systems ◽  
Effective Implementation ◽  
Demand Response Program ◽  
Multi Agent ◽  
Functional Blocks ◽  
Market Driven

Transactive based control mechanism (TCM) needs the IoT environment to fully explore flexibility potential from the end-users to offer to involved actors of the smart energy system. On the other hand, many IoT based energy management systems are already available to a market. This paper presents an ap-proach to connect the current demand-driven (top-down) energy management system (EMS) with a market-driven (bottom-up) demand response program. To this end, this paper considers multi-agent system (MAS) to realize the approach and introduces the concept and standardize design of Agilometer. It is described as an elemental agent of the approach. Proposed by authors Agilometer consists of three different functional blocks, which are formulated as an IoT platform according to the LonWorks standard. Moreover, the paper also performs an evaluation study in order to validate the proposed concept and design.

scholarly journals Industrial Energy Management System: Design of a Conceptual Framework using IoT and Big Data

2021 ◽  
Author(s):  
Mehar Ullah ◽  
Arun Narayanan ◽  
Annika Wolff ◽  
Pedro Nardelli
Keyword(s):  
Big Data ◽  
System Design ◽  
Energy Management ◽  
Management Systems ◽  
Energy Management System ◽  
High Level Architecture ◽  
Energy Management Systems ◽  
Home Energy Management ◽  
Industrial Energy ◽  
High Level

<div>This contribution aims to propose a high-level architecture for IEnMS that incorporates IoT and Big Data. This is necessary because although IoT and Big Data have been considered in home energy management systems (HEMS), their implementation and applications in IEnMS are not well studied.</div>

scholarly journals Self-Learning Data-Based Models as Basis of a Universally Applicable Energy Management System

Energies ◽  
2020 ◽  
Vol 13 (8) ◽  
pp. 2084
Author(s):  
Malin Lachmann ◽  
Jaime Maldonado ◽  
Wiebke Bergmann ◽  
Francesca Jung ◽  
Markus Weber ◽  
...  
Keyword(s):  
Energy Management ◽  
Real World ◽  
Management System ◽  
Fossil Fuels ◽  
Expert Knowledge ◽  
Measurement Data ◽  
Energy System ◽  
Energy Management System ◽  
Energy Management Systems ◽  
Photovoltaic Plant

In the transfer from fossil fuels to renewable energies, grid operators, companies and farms develop an increasing interest in smart energy management systems which can reduce their energy expenses. This requires sufficiently detailed models of the underlying components and forecasts of generation and consumption over future time horizons. In this work, it is investigated via a real-world case study how data-based methods based on regression and clustering can be applied to this task, such that potentially extensive effort for physical modeling can be decreased. Models and automated update mechanisms are derived from measurement data for a photovoltaic plant, a heat pump, a battery storage, and a washing machine. A smart energy system is realized in a real household to exploit the resulting models for minimizing energy expenses via optimization of self-consumption. Experimental data are presented that illustrate the models’ performance in the real-world system. The study concludes that it is possible to build a smart adaptive forecast-based energy management system without expert knowledge of detailed physics of system components, but special care must be taken in several aspects of system design to avoid undesired effects which decrease the overall system performance.

scholarly journals Energy Management for Internet of Things via Distributed Systems

2021 ◽  
Vol 2 (02) ◽  
pp. 59-71
Author(s):  
Mohammed A. M. Sadeeq ◽  
Subhi Zeebaree
Keyword(s):  
Renewable Energy ◽  
Energy Management ◽  
Demand Curve ◽  
Renewable Energy Sources ◽  
Energy System ◽  
Primary Energy ◽  
End Users ◽  
Energy Prices ◽  
Energy Management Systems ◽  
Grid Operators

The distributed energy system (DES) architecture is subject to confusion about renewable energy limits, primary energy supply and energy carriers' costs. For the grid to use unreliable electricity sources, the end-user's on-demand presence in the intelligent energy management context is essential. The participation of end-users could influence the management of the system and the volatility of energy prices. By delivering auxiliary services using demand side-resource to increase system reliability, robust planning, constraint control and scheduling, consumers may support grid operators. The optimized approach to managing energy resources enhances demand response to renewable energy sources integrally, controls the demand curve with load versatility as the system requires it. The opportunity to adjust/regulate the charging profile by choosing a particular device. This article discusses a literature and policy analysis that looks at the role of energy management system aggregators and the end-users participating in subsidiary systems within Smart Grid programmers and technologies. In the implementation of aggregators for energy management systems, the objective is to understand the patterns, threats, obstacles and potential obstacles.

scholarly journals Methods of determination of product energy intensity on the example of a grain elevator

2021 ◽  
Author(s):  
V. Korenda ◽  
◽  
O. Protasov ◽  
I. Vyshniakov ◽  
M. Kolyadyuk ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Saving ◽  
Energy Management ◽  
Energy Intensity ◽  
Energy Budgets ◽  
Professional Activity ◽  
Energy Management Systems ◽  
Industrial Enterprises ◽  
Grain Elevator

Energy management is an independent type of professional activity aimed at achieving in the course of any business activity of an enterprise operating in market conditions, reducing costs by improving energy efficiency. Energy management includes a set of measures aimed at saving energy resources: monitoring of energy consumption and energy intensity of products, development of energy budgets, analysis of existing indicators as a basis for drawing up new budgets, development of energy policy, planning of new energy saving measures. This article describes the methodology for determining the energy intensity of products for industrial enterprises, namely energy intensity indicators. These values include: norms of consumption of heat and electricity per unit of industrial production, as well as norms of consumption of fuel and electricity for the supply of heat to the boiler plant of the enterprise. These numbers are indicators of energy efficiency that need to be calculated when implementing energy management systems at enterprises. They are the benchmarks by which the current state of energy efficiency is assessed and planned for the future, taking into account changes in output, implementation or dismantling of equipment, implementation of energy-saving measures, etc. The article shows the calculation of energy consumption of products by the example of a grain elevator.

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