Data Mining-Based Smart Industrial Park Energy Efficiency Management System

2014 ◽  
Vol 484-485 ◽  
pp. 585-588 ◽  
Author(s):  
Ning Xi Song ◽  
Di Ming Wan ◽  
Qian Sun ◽  
Jian Feng Yue
Keyword(s):  
Data Mining ◽  
Energy Efficiency ◽  
Energy Consumption ◽  
Electric Power ◽  
Power Management ◽  
Management System ◽  
Electric Energy ◽  
Scientific Management ◽  
Industrial Park ◽  
Management Problem

Smart industrial park energy efficiency management system is used for solving the demanded side electric power management problem mainly in terms of scientific management. In this system, the data of electric power, electric power quality, and electric energy is acquired in real time by installing an electric power management monitor in the main load points, so as to analyze electric energy efficiency and energy consumption. A large amount of data can be obtained from the system, and if these huge amounts of data are of a value can be further analyzed, finding the unknown factors affecting enterprises energy consumption, equipment performance, and operational efficiency, and the disadvantages of the traditional data processing method. Therefore, an advanced data analysis and processing tool (i.e. efficiency data mining technology) is introduced for analyzing and mining large amounts of data monitored with the smart industrial park system.

scholarly journals Intelligent Electric Power Management System for Economic Maximization in a Residential Prosumer Unit

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 48713-48731
Author(s):  
William Felipe Ceccon ◽  
Roberto Z. Freire ◽  
Anderson Luis Szejka ◽  
Osiris Canciglieri Junior
Keyword(s):  
Electric Power ◽  
Power Management ◽  
Management System ◽  
Power Management System

scholarly journals The methodical issues of industrial energy monitoring systems implementation

2020 ◽  
pp. 47-56
Author(s):  
V. Nakhodov ◽  
O. Borychenko ◽  
A. Cherniavskyi
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Monitoring System ◽  
Energy Management ◽  
Specific Energy ◽  
Management System ◽  
Specific Energy Consumption ◽  
Monitoring Systems ◽  
Energy Management System ◽  
Energy Monitoring

Statistics show that energy is one of the highest operating costs in a manufacturing enterprise. So, improving energy efficiency can lead to a significant increase in profits and reduce the impact of the enterprise on the environment. To increase the performance of energy efficiency activities, it is necessary to implement an energy management system. One of the components of this system is energy monitoring, which, in turn, is based on the periodic collection and analysis of data to assess the state of the monitoring objects in terms of energy efficiency. In this paper, the role and place of energy monitoring in the energy management system of an industrial enterprise are noted. The paper proposes the concept of creating energy monitoring system in industrial companies, which is based on the combination of a monitoring system based on specific energy consumption, and usage of group energy characteristics of production facilities. Implementing such energy monitoring systems will allow to conduct operational control of energy efficiency of production facilities by creating individual systems for monitoring energy efficiency, as well as successfully carry out such monitoring at the enterprise and its subdivisions over longer periods of time using specific energy consumption indicators. It also provides general guidelines for conducting energy monitoring. These guidelines were formed based on the results of studying various methods and scientific publications in the field of energy monitoring, as well as on the basis of practical experience in the development and implementation of energy management systems. Particular attention is paid to the issues of processing and analysis of information about the objects of energy monitoring of industrial enterprises. The practical application of the concept of creating energy monitoring systems envisages gradual improvement of the existing monitoring system based on the specific energy consumption, which will be further completely replaced with individual energy efficiency monitoring systems.

Perception and Management System for Building Energy Consumption Based on Internet of Things Technology

2013 ◽  
Vol 291-294 ◽  
pp. 945-948 ◽  
Author(s):  
Feng Qin Yu ◽  
Bei Tian ◽  
Xin Zhang ◽  
Qiang Wang ◽  
Dan Shi Yu ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Internet Of Things ◽  
Management System ◽  
Building Energy ◽  
Transport Layer ◽  
Building Energy Efficiency ◽  
Building Energy Consumption ◽  
Consumption Data ◽  
Internet Of Things Technology

The building energy consumption is one of three in China's energy consumption, the detection and monitoring for energy consumption of building is the basis for the work of building energy efficiency. This article describes a perception, monitoring and management system of building energy consumption based on Internet of Things technology architecture, in the system, various energy instrumentation is installed inside the building and measurement all kinds of energy consumption data in the perception layer, collection daterminal data connected to the RS485 bus access gateway for data transmission via Ethernet or mobile communication network in the network layer and transport layer, deal with the statistical analysis of the energy consumption data in the application layer. The system has been successfully applied to more than 50 large-scale public building to implement energy consumption monitoring and management, and the support of the underlying data for building energy efficiency.

scholarly journals Increase of the energy efficiency in paper industry

2008 ◽  
Vol 62 (4) ◽  
pp. 233-245
Author(s):  
Milorad Krgovic ◽  
Vladimir Valent ◽  
Marina Krsikapa ◽  
Miodrag Milojevic ◽  
Branko Raseta ◽  
...  
Keyword(s):  
Mass Transfer ◽  
Energy Efficiency ◽  
Energy Consumption ◽  
Specific Heat ◽  
Paper Industry ◽  
Electric Energy ◽  
Paper Drying ◽  
Improve Energy Efficiency ◽  
Electric Energy Consumption ◽  
Paper Machines

In this work, phenomena of heat and mass transfer in process of paper drying are given, certain technology units are analyzed, while possibility for decrease of specific heat and electric energy consumption by modernization of technology is examined. Some of the solutions applied on paper machines worldwide in order to improve energy efficiency are shown. Theoretic and practical discoveries in this area are applied in Board factory UMKA, and these results are shown in the work as well.

scholarly journals An Advanced Decision Support Platform in Energy Management to Increase Energy Efficiency for Small and Medium Enterprises

2020 ◽  
Author(s):  
Gheorghe Grigoraș ◽  
Bogdan-Constantin Neagu
Keyword(s):  
Data Mining ◽  
Energy Efficiency ◽  
Decision Support ◽  
Energy Consumption ◽  
Production Scheduling ◽  
Small And Medium Enterprises ◽  
Small Enterprise ◽  
Data Mining Techniques ◽  
Medium Enterprises ◽  
The Impact

The paper presents a new vision on the energy consumption management in the case of the Small and Medium Enterprises (SMEs), integrated into an advanced decision support platform, with technical and economic benefits on increasing the energy efficiency, which contains modules for database management, profiling, forecasting, and production scheduling. Inside each module, Artificial Intelligence and Data Mining techniques were proposed to remove the uncertainties regarding the dynamic of technological flows. Thus, the data management module includes the Data Mining techniques, that extract the technical details on the energy consumption needed in the development of production scheduling strategies, the profiling module uses an original approach based on clustering techniques to determine the typical energy consumption profiles required in the optimal planning of the activities, the forecasting module contains a new approach based on an expert system to forecast the total energy consumption of the SMEs, and production scheduling module integrates a heuristic optimization method to obtain the optimal solutions in flattening the energy consumption profile. The testing was done for a small enterprise from Romania, belonging to the domain of trade and repair of vehicles. The obtained results highlighted the advantages of the proposed decision support platform on the decrease in the intensity of energy consumption per unit of product, reduction of the purchase costs, and modification of the impact whom the energy bills have on the operational costs.

scholarly journals Bringing Energy Efficiency for Hospital Building through the Conservative and Preventive Measures

2019 ◽  
Vol 8 (12) ◽  
pp. 3056-3060
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Health Care Services ◽  
Preventive Measures ◽  
Electric Energy ◽  
Green Building ◽  
Building Design ◽  
Energy Performance ◽  
World Health ◽  
Domestic Water

The energy consumption of hospital buildings, have increased due to embedment of sophisticated equipment pertaining to advent of technology. Factors affecting energy consumptions are air quality monitoring, high maintenance of sophisticated machineries, accurate sanitization of premises, high load of patients to doctor ratio in India which is 1596:1 as compared to regulation of 1000:1 prescribed by World Health Organization (WHO). Confederation of Indian Industry (CII) reported that nearly 60% of health care services and hospitals do not meet the minimum of Energy Performance Index (EPI) criteria. Energy Conservation Building Code (ECBC) of India shows that hospitals in India have a potential to achieve 42% energy saving by implementing energy efficient measures. Hence, there is a dire need to assess the parameters contributing to heavy energy consumption and the conservative and preventive measures need to be addressed. Literature indicates incorporation of efficient domestic water heating techniques, boilers, usage of renewable energies, thermal insulation improvement, optimal building design, improvement of air conditioning and heating systems, optimizing electric energy installations etc as possible techniques for achieving energy efficiency. A compile of best practices proposed from literature as compared to the regulations made by ECBC, CII, MEDA, and GBC (Green building council) is made in this paper. HVAC being the highest contributing system for energy consumption, IoT based working models are prepared and proposed for application; suitability of adoption of the system is discussed.

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