scholarly journals Modeling the electrical power and energy consumption of automated guided vehicles to improve the energy efficiency of production systems

2020 ◽  
Vol 110 (1-2) ◽  
pp. 481-498
Author(s):  
Matthias Meißner ◽  
Lynn Massalski
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Production Systems ◽  
Electrical Power ◽  
Automated Guided Vehicles ◽  
Power And Energy

scholarly journals Computer Scenario-Precedent Technology Treining of Energy Managers

2021 ◽  
Vol 43 (3) ◽  
pp. 75-86
Author(s):  
B.M. Pleskach ◽  
◽  
V.D. Samoilov ◽  
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Production Systems ◽  
Topical Issue ◽  
Scenario Modeling ◽  
Industrial Enterprises ◽  
Stationary Energy ◽  
Software Modules ◽  
Energy Manager ◽  
Theoretical Foundations

The article considers the topical issue of developing simulators for advanced training of specialists in energy efficiency management of industrial enterprises and utilities. The aim of the study is to develop the theoretical foundations of the use of computerized systems for training energy managers. The object of the study is the practical activities of the personnel of the enterprise, aimed at improving the energy efficiency of production systems for various purposes. The research method based on scenario modeling of energy manager actions and precedent modeling of equipment reactions to such actions. The modeling of energy manager actions based on the Deming cycle, and the modeling of reactions of production systems based on cases of quasi-stationary energy consumption of the technologi-cal system. The software platform of the proposed technology consists of a base of precedents for quasistationary energy consumption and software modules that reproduce the PDCA control cycle (Plen-Do-Check-Act). The technology allows to work out the actions of the energy manager aimed at planning energy saving measures and calculating the financial and economic results achieved during their implementation.

Scheduling of Machine Startup and Shutdown to Reduce Energy Consumption in Bernoulli Production Lines

2012 ◽  
Author(s):  
Guorong Chen ◽  
Liang Zhang ◽  
Jorge Arinez ◽  
Stephan Biller
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Production Systems ◽  
Numerical Study ◽  
Effective Control ◽  
Efficient Production ◽  
Reliability Model ◽  
Production Lines ◽  
Finite Buffers ◽  
Automotive Paint

Effective control of production operations usually leads to improved energy efficiency in manufacturing systems. In this paper, we investigate energy consumption reduction in production systems by scheduling of machine startup and shutdown. Specifically, we consider serial production lines with finite buffers and machines having Bernoulli reliability model. This machine reliability model is applicable in production situations, where the downtime is relatively short and comparable to machine cycle time (e.g., automotive paint shops and general assembly). Using transient analysis of the systems at hand, an analytical performance evaluation technique is developed for Bernoulli serial lines with time-dependent machine efficiencies. In addition, trade-off between productivity and energy-efficiency in production systems is discussed and the energy-efficient production problem is formulated as a constrained optimization problem. The effects and practical implications of operations schedule are demonstrated using a numerical study on automotive paint shop operations.

scholarly journals Economic Energy Efficiency of Food Production Systems

Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5826
Author(s):  
Bartłomiej Bajan ◽  
Aldona Mrówczyńska-Kamińska ◽  
Walenty Poczta
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Food Production ◽  
Food Industry ◽  
Energy Intensity ◽  
Production Systems ◽  
Developed Countries ◽  
Total Consumption ◽  
Global Increase ◽  
High Level

The current global population growth forecast carries with it a global increase in demand for food. In order to meet this demand, it is necessary to increase production, which requires an increase in energy consumption. However, forecasted energy production growth is insufficient and traditional sources of energy are limited; hence, it is necessary to strive for greater energy efficiency in food production systems. The study aimed to compare the economic energy efficiency of food production systems in selected countries and identify the sources of diversification in this field. As a measure of energy efficiency, the indicators of the energy intensity of food production were used in this study. To calculate these indicators, a method based on input-output life-cycle assessment assumptions was used, which enables researchers to obtain fully comparable results between countries. The study showed that despite an increase in energy consumption in the food production systems of the analyzed countries by an average of 27%, from 19.3 EJ to 24.5 EJ, from 2000 to 2014, their energy intensity decreased, on average, by more than 18%, from 8.5 MJ/USD to 6.9 MJ/USD. This means that energy efficiency improvements are possible even under conditions of increased energy consumption, which in turn, means that food production can increase significantly. In the case of developed countries, the main inefficiencies are found in agricultural production, while in developing countries, they are observed in the food industry. Decision-makers should also pay attention to the high level of energy intensity that results from the supply of inputs to agriculture and the food industry because there is great potential for the improvement of energy efficiency in this field, especially because energy consumption associated with supply constitutes a major part of total consumption in the food production systems of developed countries.

Ontology-Based Description of Energy Optimization Potentials for Production Environments

2015 ◽  
Vol 805 ◽  
pp. 53-60 ◽  
Author(s):  
Markus Brandmeier ◽  
Franziska Schäfer ◽  
Sven Kreitlein ◽  
Jörg Franke
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Product Life Cycle ◽  
Production Systems ◽  
Energy Optimization ◽  
Search Queries ◽  
Information Demand ◽  
Energy Consumption Optimization ◽  
Production Environments ◽  
New Business

Energy efficiency of production systems and of the product itself has grown to a critical competitive factor. Besides the manufacturer’s monetary motivation there are increasing incentives to meet customers’ expectations regarding lifecycle cost and the ecological footprint of products. That neo-ecology, as one megatrend, leads to a new business moral resulting in an energy optimization of the whole product life cycle in terms of resource and energy input. There is a plenty of measures to reduce the energy consumption of a production system and thus to increase its efficiency. To do so companies do not have to develop proprietary solutions for their production sites but can draw on a large pool of measures. However, in practice, many energy optimization measures are unknown to their energy managers. This is mainly owing to the fact that there is no standardized categorization for energy optimization potentials yet. In addition, many efficiency deficits remain undetected as a result of a non-existing efficient methodology for finding energy consumption optimization measures. The domain of information retrieval addresses this issue, as it is able to provide documents matching the user’s information demand. Nevertheless, search queries have to be sufficiently well known in order to gain adequate results. In this paper we show how ontologies can be used to support the user in defining search queries and finding optimization measures efficiently. As formal and explicit specifications of shared conceptualizations, ontologies offer the possibility to represent relevant parts of knowledge in a standardized, machine-readable manner. Therefore, ontologies improve upon data models, which are mainly used for single applications. For the purpose of energy efficiency in production environments, we provide both a methodology to build ontologies for describing energy saving measures and illustrate the application for explicit energy efficiency optimization measures.

Comparison of Prognosis Methods for the Energy Consumption of Machines and Further Development with Regard to Increasing Data Availability

2016 ◽  
Vol 856 ◽  
pp. 64-72
Author(s):  
Thiemo Müller ◽  
Julian Stefan Tauschek ◽  
Johannes Glasschröder ◽  
Gunther Reinhart
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Demand ◽  
Production Systems ◽  
Data Availability ◽  
Related Data ◽  
Energy Management Systems ◽  
Shared Information ◽  
Universal Applicability ◽  
Further Development

An increasing number of companies establish energy management systems for continuous improvement in their energy efficiency and for this intensify monitoring their current energy consumption. These data can be used to gain further information about the production and to find potentials to increase its energy efficiency. In the procurement process of machinery and equipment or in the planning phase of production systems and building services, information about energy demand is rarely available, though it would be valuable for an early inclusion of energy efficiency in these processes. Therefore this paper discusses different forecast methods for energy consumption of machinery and evaluates in particular their universal applicability, effort and accuracy by analyzing them through the example of a packaging machine. In addition this paper proposes a further usage of energy-related data of machinery, which can be automatically acquired by monitoring systems for prognosticating their energy consumption as well as a possible distribution approach of this information. Therefore an own forecast method is presented, which shall process the energy-related data combined with information about dominant parameters of the product, the usage of the machine and the environmental conditions. For the distribution concept it was taken into account that the generated and shared information has to be abstracted in a way that no critical secrets of the company are revealed.

Continuous Improvements Analysis in Energy Efficiency of Steering Power Systems to Light Vehicles

2015 ◽  
Vol 798 ◽  
pp. 92-96
Author(s):  
José Antônio Silva ◽  
Gláucio C. Laun Nacif ◽  
Luben Cabezas-Goméz
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Power System ◽  
Electrical Power ◽  
Steering System ◽  
Bench Test ◽  
Electrical Power System ◽  
Total Energy Consumption ◽  
Hydraulic Power ◽  
The Impact

This study analyses the energy consumption of a vehicle steering system and evaluates potential earnings in using more efficient systems. The energy consumption of the steering system to provide assistance can be until 3% of the vehicle total energy consumption. The technology evolution of the steering system provides a significant reduction in energy consumption. Three types of steering systems were evaluated: Hydraulic Power System, Electro-Hydraulic Power System and Electrical Power System, respectively, considering the consumption and the energy efficiency of their components. Some evaluations of the energy consumed by system components were performed using data from the available sources in the literature and other evaluations were performed via experimental tests on a bench test. A comparative study was set to determine the differences between steering systems regarding the energy consumption and energy efficiency. Consumption analysis of steering system were extended to evaluate the impact in the final vehicle consumption. The Electrical Power System can increase the efficiency in fuel use during operation in the vehicle.

Optimierung des Energieumsatzes mithilfe eines MES*/Optimization of Energy Consumption based on MES

2015 ◽  
Vol 105 (05) ◽  
pp. 319-323
Author(s):  
C. Brecher ◽  
A. Malik ◽  
W. Herfs ◽  
W. Lohse ◽  
S. Gsell
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Production Technology ◽  
Energy Use ◽  
Production Systems ◽  
Shop Floor ◽  
Manufacturing Execution Systems ◽  
The Common ◽  
Achievable Accuracy ◽  
Manufacturing Execution

Das Thema Energieeffizienz in der Produktionstechnik gewinnt ständig an Bedeutung. Neben den klassischen Alleinstellungsmerkmalen von Produktionsanlagen wie erreichbare Genauigkeit, Standzeit, Flexibilität und Anschaffungskosten ist die Ressourceneffizienz heutzutage ein wichtiges Kriterium. Auf der Werkstattebene können „Manufacturing Execution Systems“ (MES) für die Optimierung des Energieumsatzes und das Vermeiden ungewollter Lastspitzen sorgen.   The importance of energy efficiency in production technology is constantly increasing. To the common unique characteristics of production systems, such as achievable accuracy, durability, flexibility and cost, the aspect of resource efficiency must now be added. On the shop floor level, manufacturing execution systems can help to optimize energy use and prevent unwanted power peaks.

ELECTRICAL POWER GENERATED FROM AN OPERATING DESKTOP COMPUTER THROUGH WASTE HEAT RECOVERY

10.6036/10150 ◽  
2021 ◽  
Vol 96 (4) ◽  
pp. 345-345
Author(s):  
CARLOS ALBERTO GARCIA RODRIGUEZ ◽  
PEDRO QUINTO DIEZ ◽  
JOSE ALFREDO JIMENEZ BERNAL ◽  
IGNACIO CARVAJAL MARISCAL
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Heat Recovery ◽  
Waste Heat ◽  
Electrical Power ◽  
Industrial Sector ◽  
Total Energy Consumption ◽  
Desktop Computer ◽  
Increase Energy Efficiency ◽  
Different Types

Use of heat recovery systems applied to different industries as a technology to increase energy efficiency [1] is becoming more and more common, one third of the total energy consumption is related to the industrial sector, and of this, about fifty percent is wasted as heat [2]. Increasing use of different types of computers forces us to rethink the possibility of improving their energy efficiency and consequently reducing their energy consumption.

Improving Energy Efficiency in Internet of Things using Artificial Bee Colony Algorithm

2020 ◽  
Vol 14 ◽  
Author(s):  
M. Sivaram ◽  
V. Porkodi ◽  
Amin Salih Mohammed ◽  
S. Anbu Karuppusamy
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Artificial Bee Colony ◽  
Trust Model ◽  
Sensor Nodes ◽  
Remote Areas ◽  
Bee Colony ◽  
Important Concern ◽  
Wide Range ◽  
Iot Devices

Background: With the advent of IoT, the deployment of batteries with a limited lifetime in remote areas is a major concern. In certain conditions, the network lifetime gets restricted due to limited battery constraints. Subsequently, the collaborative approaches for key facilities help to reduce the constraint demands of the current security protocols. Aim: This work covers and combines a wide range of concepts linked by IoT based on security and energy efficiency. Specifically, this study examines the WSN energy efficiency problem in IoT and security for the management of threats in IoT through collaborative approaches and finally outlines the future. The concept of energy-efficient key protocols which clearly cover heterogeneous IoT communications among peers with different resources has been developed. Because of the low capacity of sensor nodes, energy efficiency in WSNs has been an important concern. Methods: Hence, in this paper, we present an algorithm for Artificial Bee Colony (ABC) which reviews security and energy consumption to discuss their constraints in the IoT scenarios. Results: The results of a detailed experimental assessment are analyzed in terms of communication cost, energy consumption and security, which prove the relevance of a proposed ABC approach and a key establishment. Conclusion: The validation of DTLS-ABC consists of designing an inter-node cooperation trust model for the creation of a trusted community of elements that are mutually supportive. Initial attempts to design the key methods for management are appropriate individual IoT devices. This gives the system designers, an option that considers the question of scalability.

The Research of Measuring Approach and Energy Efficiency for Hadoop Periodic Jobs

2015 ◽  
Vol 8 (1) ◽  
pp. 206-210 ◽  
Author(s):  
Yu Junyang ◽  
Hu Zhigang ◽  
Han Yuanyuan
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Energy Consumption ◽  
Energy Saving ◽  
Energy Estimate ◽  
Cloud Platform ◽  
Periodic Tasks ◽  
Current Consumption ◽  
Reduce Energy Consumption

Current consumption of cloud computing has attracted more and more attention of scholars. The research on Hadoop as a cloud platform and its energy consumption has also received considerable attention from scholars. This paper presents a method to measure the energy consumption of jobs that run on Hadoop, and this method is used to measure the effectiveness of the implementation of periodic tasks on the platform of Hadoop. Combining with the current mainstream of energy estimate formula to conduct further analysis, this paper has reached a conclusion as how to reduce energy consumption of Hadoop by adjusting the split size or using appropriate size of workers (servers). Finally, experiments show the effectiveness of these methods as being energy-saving strategies and verify the feasibility of the methods for the measurement of periodic tasks at the same time.

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