International Journal of Engineering Inventions (IJEI) provides a multidisciplinary passage for researchers, managers, professionals, practitioners and students around the globe to publish high quality, peer-reviewed articles on all theoretical and empirical aspects of Engineering and Science.
The peer-reviewed International Journal of Engineering Inventions (IJEI) is started with a mission to encourage contribution to research in Science and Technology. Encourage and motivate researchers in challenging areas of Sciences and Technology.
Decision Support System for Energy Saving Analysis in Manufacturing IndustryIJRES Journal
Nowadays the attempts to optimize energy efficiency and environmental impact are increasingly present in all activity areas and specifically in manufacturing industry. An innovative approach to achieve these optimizations lies in advanced combination of decision support technologies and Knowledge Management. A benchmarking energy saving tool (decision support tool) was carried out in four (4) different years, 2007 to 2010 in Niger mills limited, located in Calabar to generate energy intensity and energy intensity index of the period. The result obtained for energy intensity in 2007 was 2.30GJ/m3, Energy intensity for 2008 was 2.30GJ/m3, Energy intensity for 2009 was 2.40GJ/m3, and energy intensity for 2010 was 2.30GJ/m3. This result shows that for the period of these four years, that the energy consumed is in an average range of 2.30GJ/m3. That if the productivity increase as the result of increase in production, the energy intensity will increase to 2.40GJ/m3 or there about as the case maybe as a result of increase in production.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Energy Evaluation and Processing Cost Reduction in Agudu Maize Processing Ind...Dr. Amarjeet Singh
This study evaluated energy consumption by Agudu Farms Limited (AFL) that processes maize and cassava into flour for human consumption. The objectives of study included to determine energy contribution to processing cost, to minimize the processing cost and to propose a new selling price per unit of sale of the product. The study materials included; a multi-meter, stopwatch, electrical appliances’ nameplates and bills, fuel purchased receipts, and production records. Data was collected through detailed energy audits and measurements of present electricity consumption. This data was converted into energy intensities, rates and costs, and analyzed. The monthly energy intensity plotted on bar charts using Microsoft excel and the results showed that diesel had the highest consumption variation of 3500 kWh/t, electricity 200kWh/t and labor 110 kWh/t. The percentage of energy contribution to processing cost was 33%. In monetary terms, the processing cost per hour of operation showed average value of ₦830. Whereas, the minimum production cost per hour using Tora software showed ₦767. The new product price per ten-kilogram (10kg) unit of sale of maize flour, using break-even analysis, showed ₦2864. The study observed that diesel contributed more to production cost than electricity and labor and therefore, recommended the setting up of an energy monitoring team to monitor procurement and control utilization of diesel to reduce production cost.
Optimization of Assembly Line and Plant Layout in a Mass Production Industry...inventionjournals
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
Power system operation considering detailed modelling of energy storage systemsIJECEIAES
The power system operation considering energy storage systems (ESS) and renew- able power represents a challenge. In a 24-hour economic dispatch, the generation resources are dispatched to meet demand requirements considering network restrictions. The uncertainty and unpredictability associated with renewable resources and storage systems represents challenges for power system operation due to operational and economical restrictions. This paper developed a detailed formulation to model energy storage systems (ESS) and renewable sources for power system operation in a DCOPF approach considering a 24-hour period. The model is formulated and evaluated with two different power systems (i.e. 5-bus and IEEE modified 24-bus systems). Wind availability patterns and scenarios are used to assess the ESS performance under different operational circumstances. With regard to the systems proposed, there are scenarios in order to evaluate ESS performance. In one of them, the increase in capacity did not represent significant savings or performance for the system, while in the other it was quite the opposite especially during peak load periods.
Institutional smart buildings energy auditIJECEIAES
Smart buildings and Fuzzy based control systems used in Buildings Management System (BMS), Building Energy Management Systems (BEMS) and Building Automation Systems (BAS) are a point of interests among researcher and stake holders of buildings’ developing sector due to its ability to save energy and reduce greenhouse gas emissions. Therefore this paper will review, investigates define and evaluates the use of fuzzy logic controllers in smart buildings under subtropical Australia’s subtropical regions. In addition the paper also will define the latest development, design and proposed controlling strategies used in institutional buildings. Furthermore this paper will highlight and discuss the conceptual basis of these technologies including Fuzzy, Neural and Hybrid add-on technologies, its capabilities and its limitation.
Decision Support System for Energy Saving Analysis in Manufacturing IndustryIJRES Journal
Nowadays the attempts to optimize energy efficiency and environmental impact are increasingly present in all activity areas and specifically in manufacturing industry. An innovative approach to achieve these optimizations lies in advanced combination of decision support technologies and Knowledge Management. A benchmarking energy saving tool (decision support tool) was carried out in four (4) different years, 2007 to 2010 in Niger mills limited, located in Calabar to generate energy intensity and energy intensity index of the period. The result obtained for energy intensity in 2007 was 2.30GJ/m3, Energy intensity for 2008 was 2.30GJ/m3, Energy intensity for 2009 was 2.40GJ/m3, and energy intensity for 2010 was 2.30GJ/m3. This result shows that for the period of these four years, that the energy consumed is in an average range of 2.30GJ/m3. That if the productivity increase as the result of increase in production, the energy intensity will increase to 2.40GJ/m3 or there about as the case maybe as a result of increase in production.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Energy Evaluation and Processing Cost Reduction in Agudu Maize Processing Ind...Dr. Amarjeet Singh
This study evaluated energy consumption by Agudu Farms Limited (AFL) that processes maize and cassava into flour for human consumption. The objectives of study included to determine energy contribution to processing cost, to minimize the processing cost and to propose a new selling price per unit of sale of the product. The study materials included; a multi-meter, stopwatch, electrical appliances’ nameplates and bills, fuel purchased receipts, and production records. Data was collected through detailed energy audits and measurements of present electricity consumption. This data was converted into energy intensities, rates and costs, and analyzed. The monthly energy intensity plotted on bar charts using Microsoft excel and the results showed that diesel had the highest consumption variation of 3500 kWh/t, electricity 200kWh/t and labor 110 kWh/t. The percentage of energy contribution to processing cost was 33%. In monetary terms, the processing cost per hour of operation showed average value of ₦830. Whereas, the minimum production cost per hour using Tora software showed ₦767. The new product price per ten-kilogram (10kg) unit of sale of maize flour, using break-even analysis, showed ₦2864. The study observed that diesel contributed more to production cost than electricity and labor and therefore, recommended the setting up of an energy monitoring team to monitor procurement and control utilization of diesel to reduce production cost.
Optimization of Assembly Line and Plant Layout in a Mass Production Industry...inventionjournals
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
Power system operation considering detailed modelling of energy storage systemsIJECEIAES
The power system operation considering energy storage systems (ESS) and renew- able power represents a challenge. In a 24-hour economic dispatch, the generation resources are dispatched to meet demand requirements considering network restrictions. The uncertainty and unpredictability associated with renewable resources and storage systems represents challenges for power system operation due to operational and economical restrictions. This paper developed a detailed formulation to model energy storage systems (ESS) and renewable sources for power system operation in a DCOPF approach considering a 24-hour period. The model is formulated and evaluated with two different power systems (i.e. 5-bus and IEEE modified 24-bus systems). Wind availability patterns and scenarios are used to assess the ESS performance under different operational circumstances. With regard to the systems proposed, there are scenarios in order to evaluate ESS performance. In one of them, the increase in capacity did not represent significant savings or performance for the system, while in the other it was quite the opposite especially during peak load periods.
Institutional smart buildings energy auditIJECEIAES
Smart buildings and Fuzzy based control systems used in Buildings Management System (BMS), Building Energy Management Systems (BEMS) and Building Automation Systems (BAS) are a point of interests among researcher and stake holders of buildings’ developing sector due to its ability to save energy and reduce greenhouse gas emissions. Therefore this paper will review, investigates define and evaluates the use of fuzzy logic controllers in smart buildings under subtropical Australia’s subtropical regions. In addition the paper also will define the latest development, design and proposed controlling strategies used in institutional buildings. Furthermore this paper will highlight and discuss the conceptual basis of these technologies including Fuzzy, Neural and Hybrid add-on technologies, its capabilities and its limitation.
ASSESSING THE REDUCTION OF CARBON DIOXIDE EMISSIONS THROUGH APPLYING HIGH-STR...IAEME Publication
The construction industry accounts for approximately 23% of the national energy
consumption per year. Considering the production and transportation of construction
materials, the ratio of energy consumption increases up to 40 % in this industry.
Recently, several studies established effective strategies for reducing the carbon
dioxide emissions such as utilisation of low-carbon materials, material recycling,
minimisation of materials input, and selection of optimal structural systems. Along with
such approaches, there are various studies examined the application of high-strength
materials for minimum utilisation of construction materials. Despite this approach to
calculate CO2 emissions of structural materials, it is necessary to study the effectiveness
and relationships between the implementation of high-strength re-bars and normal rebars.
In order to fill this gap, this study examines the reduction of reinforcement bars
and CO2 emissions by the implementation of high-strength re-bars in a practical
approach. In this study, an office complex building was selected to assess the quantity
variation over the normal re-bars. The office complex building is a rigid-frame
structure which has 25 storeys above the ground level and one storey in the
underground. Based on the analysed data, this study concluded that the application of
SD500 and SD600 high-strength re-bars would lead the quantity reduction of about
25% and 50% respectively compared to the structural system designed with SD400.
Generally, applications to high-strength materials, especially high-strength re-bars in
the study is potentially beneficial in both reducing the input amount of materials and
carbon dioxide emissions in the rigid-frame structure.
Cascaded Thermodynamic and Environmental Analyses of Energy Generation Modali...Ozyegin University
This study presents cascaded thermodynamic and environmental analyses of a high-performance academic building. Five different energy efficiency measures and operation scenarios are evaluated based on the actual measurements starting from the initial design concept. The study is to emphasize that by performing dynamical energy, exergy, exergoeconomic, and environmental analyses with increasing complexity, a better picture of building performance indicators can be obtained for both the building owners and users, helping them to decide on different investment strategies. As the first improvement, the original design is modified by the addition of a ground-air heat exchanger for pre-conditioning the incoming air to heat the ground floors. The installation of roof-top PV panels to use solar energy is considered as the third case, and the use of a trigeneration system as an energy source instead of traditional boiler systems is considered as the fourth case. The last case is the integration of all these three alternative energy modalities for the building. It is determined that the use of a trigeneration system provides a better outcome than the other scenarios for decreased energy demand, for cost reduction, and for the improved exergy efficiency and sustainability index values relative to the original baseline design scenario. Yet, an integrated approach combining all these energy generation modalities provide the best return of investment.
Design Optimization of Reinforced Concrete Slabs Using Various Optimization T...ijtsrd
This paper presents Reinforced Concrete RC slab design optimization technique for finding the best design parameters that satisfy the project requirements both in terms of strength and serviceability criteria while keeping the overall construction cost to a minimum. In this paper four different types of RC slab design named as simply supported slab, one end continuous slab, both end continuous slab and cantilever slab are optimized using three different metaheuristic optimization algorithms named as Genetic Algorithms GA , Particle Swarm Optimization PSO and Gray Wolf Optimization GWO . The slabs with various end conditions are formulated according to the ACI code. The formulated problem contains three optimization variables, the thickness of the slab, steel bar diameter, and bar spacing while objective involves the minimization of overall cost of the structure which includes the cost of concrete, cost of reinforcement and the constraints involves the design requirement and ACI codes limit. The proposed method is developed using MATLAB. Finally, to validate the performance of the proposed algorithm the results are compared with the previously proposed algorithms. The comparison of results shows that the proposed method provides a significant improvement over the previously proposed algorithms. Dinesh Kumar Suryavanshi | Dr. Saleem Akhtar "Design Optimization of Reinforced Concrete Slabs Using Various Optimization Techniques" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd25231.pdfPaper URL: https://www.ijtsrd.com/engineering/civil-engineering/25231/design-optimization-of-reinforced-concrete-slabs-using-various-optimization-techniques/dinesh-kumar-suryavanshi
Modification of Cost Equation for Optimization of Cutting Parameters in Turni...IJLT EMAS
With depleting pace of natural energy resources and
pollution in the environment it is necessary to reduce the amount
of energy consumption. On the other hand price of energy is
increasing due to likely increase in oil prices. So it is necessary to
see the effect of energy cost in total machining cost. In the
present work conventional cost equation is modified to consider
the energy cost as variable of v, f and d instead of energy cost as
constant in conventional cost equation. Different costs are
compared by taking the particular value of parameters v, f and
d. It was found that energy as a variable cost have considerable
portion in total machining cost.
Insights into the Efficiencies of On-Shore Wind Turbines: A Data-Centric Anal...ertekg
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/insights-into-the-efficiencies-of-on-shore-wind-turbines-a-data-centric-analysis/
Literature on renewable energy alternative of wind turbines does not include a multidimensional benchmarking studythat can help investment decisions as well as design processes. This paper presents a data-centric analysis of commercial on-shore wind turbines and provides actionable insights through analytical benchmarking through Data Envelopment Analysis (DEA), visual data analysis, and statistical hypothesis testing. The paper also introduces a novel visualization approach for the understanding and the interpretation of reference sets, the set of efficient wind turbines that should be taken as benchmark by inefficient ones.
We are a young company promoted by IIT Alumni. We provide services which helps individuals and organizations to take the "Green Route" for cleaner future. Our services includes Energy Audit, EPCM for Renewable energy (Solar & Bio-mass) Projects, Technology Evaluation (Research & Analysis) and carbon management services(footprint, mitigation and branding)
A novel hybrid modelling structure fabricated by using Takagi-Sugeno fuzzy to forecast HVAC systems energy demand in real-time for Basra city
Raad Z. Homod
ASSESSING THE REDUCTION OF CARBON DIOXIDE EMISSIONS THROUGH APPLYING HIGH-STR...IAEME Publication
The construction industry accounts for approximately 23% of the national energy
consumption per year. Considering the production and transportation of construction
materials, the ratio of energy consumption increases up to 40 % in this industry.
Recently, several studies established effective strategies for reducing the carbon
dioxide emissions such as utilisation of low-carbon materials, material recycling,
minimisation of materials input, and selection of optimal structural systems. Along with
such approaches, there are various studies examined the application of high-strength
materials for minimum utilisation of construction materials. Despite this approach to
calculate CO2 emissions of structural materials, it is necessary to study the effectiveness
and relationships between the implementation of high-strength re-bars and normal rebars.
In order to fill this gap, this study examines the reduction of reinforcement bars
and CO2 emissions by the implementation of high-strength re-bars in a practical
approach. In this study, an office complex building was selected to assess the quantity
variation over the normal re-bars. The office complex building is a rigid-frame
structure which has 25 storeys above the ground level and one storey in the
underground. Based on the analysed data, this study concluded that the application of
SD500 and SD600 high-strength re-bars would lead the quantity reduction of about
25% and 50% respectively compared to the structural system designed with SD400.
Generally, applications to high-strength materials, especially high-strength re-bars in
the study is potentially beneficial in both reducing the input amount of materials and
carbon dioxide emissions in the rigid-frame structure.
Cascaded Thermodynamic and Environmental Analyses of Energy Generation Modali...Ozyegin University
This study presents cascaded thermodynamic and environmental analyses of a high-performance academic building. Five different energy efficiency measures and operation scenarios are evaluated based on the actual measurements starting from the initial design concept. The study is to emphasize that by performing dynamical energy, exergy, exergoeconomic, and environmental analyses with increasing complexity, a better picture of building performance indicators can be obtained for both the building owners and users, helping them to decide on different investment strategies. As the first improvement, the original design is modified by the addition of a ground-air heat exchanger for pre-conditioning the incoming air to heat the ground floors. The installation of roof-top PV panels to use solar energy is considered as the third case, and the use of a trigeneration system as an energy source instead of traditional boiler systems is considered as the fourth case. The last case is the integration of all these three alternative energy modalities for the building. It is determined that the use of a trigeneration system provides a better outcome than the other scenarios for decreased energy demand, for cost reduction, and for the improved exergy efficiency and sustainability index values relative to the original baseline design scenario. Yet, an integrated approach combining all these energy generation modalities provide the best return of investment.
Design Optimization of Reinforced Concrete Slabs Using Various Optimization T...ijtsrd
This paper presents Reinforced Concrete RC slab design optimization technique for finding the best design parameters that satisfy the project requirements both in terms of strength and serviceability criteria while keeping the overall construction cost to a minimum. In this paper four different types of RC slab design named as simply supported slab, one end continuous slab, both end continuous slab and cantilever slab are optimized using three different metaheuristic optimization algorithms named as Genetic Algorithms GA , Particle Swarm Optimization PSO and Gray Wolf Optimization GWO . The slabs with various end conditions are formulated according to the ACI code. The formulated problem contains three optimization variables, the thickness of the slab, steel bar diameter, and bar spacing while objective involves the minimization of overall cost of the structure which includes the cost of concrete, cost of reinforcement and the constraints involves the design requirement and ACI codes limit. The proposed method is developed using MATLAB. Finally, to validate the performance of the proposed algorithm the results are compared with the previously proposed algorithms. The comparison of results shows that the proposed method provides a significant improvement over the previously proposed algorithms. Dinesh Kumar Suryavanshi | Dr. Saleem Akhtar "Design Optimization of Reinforced Concrete Slabs Using Various Optimization Techniques" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd25231.pdfPaper URL: https://www.ijtsrd.com/engineering/civil-engineering/25231/design-optimization-of-reinforced-concrete-slabs-using-various-optimization-techniques/dinesh-kumar-suryavanshi
Modification of Cost Equation for Optimization of Cutting Parameters in Turni...IJLT EMAS
With depleting pace of natural energy resources and
pollution in the environment it is necessary to reduce the amount
of energy consumption. On the other hand price of energy is
increasing due to likely increase in oil prices. So it is necessary to
see the effect of energy cost in total machining cost. In the
present work conventional cost equation is modified to consider
the energy cost as variable of v, f and d instead of energy cost as
constant in conventional cost equation. Different costs are
compared by taking the particular value of parameters v, f and
d. It was found that energy as a variable cost have considerable
portion in total machining cost.
Insights into the Efficiencies of On-Shore Wind Turbines: A Data-Centric Anal...ertekg
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/insights-into-the-efficiencies-of-on-shore-wind-turbines-a-data-centric-analysis/
Literature on renewable energy alternative of wind turbines does not include a multidimensional benchmarking studythat can help investment decisions as well as design processes. This paper presents a data-centric analysis of commercial on-shore wind turbines and provides actionable insights through analytical benchmarking through Data Envelopment Analysis (DEA), visual data analysis, and statistical hypothesis testing. The paper also introduces a novel visualization approach for the understanding and the interpretation of reference sets, the set of efficient wind turbines that should be taken as benchmark by inefficient ones.
We are a young company promoted by IIT Alumni. We provide services which helps individuals and organizations to take the "Green Route" for cleaner future. Our services includes Energy Audit, EPCM for Renewable energy (Solar & Bio-mass) Projects, Technology Evaluation (Research & Analysis) and carbon management services(footprint, mitigation and branding)
A novel hybrid modelling structure fabricated by using Takagi-Sugeno fuzzy to forecast HVAC systems energy demand in real-time for Basra city
Raad Z. Homod
Energy Efficiency in Industrial Sectors: Future DirectionsChristo Ananth
Christo Ananth, Rajini K R Karduri, "Energy Efficiency in Industrial Sectors: Future Directions", International Journal of Advanced Research in Basic Engineering Sciences and Technology (IJARBEST), Volume 7,Issue 1,January 2021,pp 39-46
Modelling Circular Economy in TIMES
Dr. Sofia G. Simoes LNEG - Laboratory for Energy and Geology, P. Fortes, CENSE | NOVA School of
Science and Technology
Exergy analysis and igcc plant technology to improve the efficiency and to re...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
BANDI DAYASAGAR RESEARCH PAPER / Improving Thermal Power Plant Efficiency @Th...dayasagarmech003
BANDI DAYASAGAR (Author), Received the B.Tech Degree in Mechanical Engineering From Sarojini Institute of Technology Telaprolu, JNTUK University Kakinada,India in 2018 And M. Tech Degree in Thermal Engineering From DJR College of Engineering and Technology Gudavalli Vijayawada, JNTUK University Kakinada,India in 2020. He Has done Internship/Projects in CITD,ISRO,BHEL, RINL STEEL PLANT, IGCAR BARC UNIT. His Area of Interest includes Thermal & Renewable Energy Sources, Heat Transfer, Fluid Mechanics, FEM & CFD.
Analysis of energy efficiency aspects in energy man agement model of bunse in...eSAT Journals
Abstract Correct energy management and its efficiency have been emphasized in industrial and manufacturing firms’ policy makings for different reasons. Different studies focus on available potentials of these firms in the field of their energy efficiency. From among them just the fewest numbers of manufacturing enterprises could exploit them. Therefore the researcher intends to study some aspects of energy management model of Bunse in manufacture. Also by finding the differences and gaps between theories and available circumstance of the industry, this study encourages the Mobarakeh Steel Complex to execute energy efficiency management correctly. The results of the statistical analysis show that although there is not significant gap between industry’s requirements and scientific literatures, based on the comparison of the present case and ideal circumstance of managers’ point of view and because of the complex approximately proper condition, this complex has differences with worlds and scientific ideal standards. Keywords: Energy Management, Key Performance Indicator, Benchmarking, Control and monitoring, Conceptual Framework, Energy Efficient Measurement.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
On Thursday, 24 September 2020, Dana Kirchem (ESRI), presented the following presentation at the UCD-ESRI energy policy research conference.
For more information on the event, please follow the link: https://www.esri.ie/events/webinar-ucd-esri-energy-policy-research-conference
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
Energy Efficiency in a Steel Rolling Mill by Effective Planning (Case Study)
1. International Journal of Engineering Inventions
e-ISSN: 2278-7461, p-ISSN: 2319-6491
Volume 2, Issue 12 (August 2013) PP: 11-16
www.ijeijournal.com Page | 11
Energy Efficiency in a Steel Rolling Mill by Effective Planning
(Case Study)
Mr. K. G. Bante1
, Mr. S. G. Tarnekar2
, Mr. D. R. Tutakane3
1
Research Scholar, EE Dept., G. H. Raisoni College of Engineering, Nagpur-16, INDIA
2
Prof. of EE, G.H. Raisoni College of Engineering, Nagpur-16, INDIA
3
Prof. of EE, RKNEC, Nagpur, INDIA
Abstract: The recent years showed a significant increase both in energy costs and social awareness for
Environmental concerns. The present paper describes how the material flow study may powerfully support
production planning and the related decisions. The application proposed refers to a steel Rolling plant. The
optimization of the production plan and Equipment is pursued by an objective function which takes into account
both traditional targets and the need for an efficient use of energy. A typical working day for a rolling mill
operator is not as straightforward as one would think. In fact a typical day can often mean a turbulent one
where the operator has to battle process instability that interferes with production. Finding his way out of
certain situations such as unstable rolling, which results in down time, less yield, and frequently the appearance
of cobbles as a result of bar derailing, may be very time consuming. A typical working were implemented to
forecast energy requirements at the Continuous and Cross country Rolling Mills. Final results showed how the
effective planning support may lead to a significant reduction (more than 20%) of the daily consumption of
electric energy. Regaining stable rolling is often based on the individuals’ experience. Judging what the best set
of process parameter settings should be is a black art representing the very core of their professional pride.
However, by the time production is back on track, valuable material and energy have been wasted in ensuring
correct dimensional accuracy usually through trial and error. To aid operators in their task as well as to
eliminate such waste, study of the effective planning help for advanced rolling process optimization.
Keywords: Dimension, Cobbles, Down Time, Unstable Rolling, Energy efficiency.
I. INTRODUCTION
In the most recent years, the need for a more rational and efficient use of energy has emerged as a
strategic and urgent issue. Such a necessity is particularly perceived in the industrial sector, not only because of
the increasing costs of energy, but also as a consequence of the global competition, which stresses some features
of the process and its final products (e.g.cost and quality). Furthermore, the rational use of the energy resource
may be regarded as a twofold issue, a first aspect being related to the achieved consciousness of the limited
availability of energy, regarded as a source, and the second being represented by a mature appreciation of the
costs born to procure energy. In fact, according to a wider and wiser view of the problem, the term “cost” is to
be appreciated not only in economic terms, but also in its social and environmental features.
Therefore, the concept of “sustainability” is to be accepted and introduced in the industrial practices, as
a consequence of the need for a limitation in the amount of energy required by human activities, so as to avoid
to compromise the future of next generations. In a similar scenario, “energy saving” covers a fundamental role,
as this approach to industrial processes focuses on the capacity to control activities and practices reducing
energy wastes (Cheung and Hui,2004). Such a concept introduces a peculiar dimension of energy efficiency, as
it implies a reduced use of energy sources, possibly integrated by the valurisation of energy residuals, to carry
out the same activities. The aim of the present research is to show the effective planning and the implementation
of a suitable practice to increase the energy efficiency in industrial plants, with specific reference to the case of
steel Rolling mills. Regardless of the industrial sector taken as reference, the approach presents a more general
validity, as the final result of the research shows how the simulation of the industrial process may provide an
effective support to the formulation of energy-efficient and sustainable production plans. In general, steel plants
are subjected to significant costs, due to energy consumption, which, therefore, highly influence both product
and service costs: increasing energy efficiency may be an ineluctable way to maintain competitiveness. The
topic described is particularly relevant to the Province of India where the steel production is carried out mainly
by mini-steel plant. Presently, the largest part of these industrial structures are organized according to “mini
steel” plant schemes, which allow production plans arranged on small batches of even differentiated steel types.
The type and quality of the steel produced may be varied several times per day. Such an increased flexibility is
necessary to match market demand, as a make-to-order approach is generally considered as the most effective
production strategy, given the high costs of raw materials and semi-finished products which have magnified
stocking costs. The energy-related components significantly contribute to the overall accounting of production
2. Energy Efficiency in a Steel Rolling Mill by Effective Planning (Case Study)
www.ijeijournal.com Page | 12
costs , in particular, the need for differentiated production, short lead times and precise delivery dates have
further determined the industrial interest for the mini-steel plant configuration. However, a similar approach also
implies the need for advanced tools, so as to support production planning and decision making in a complex
environment characterized by several parameters, numerous interacting variables and mutual constraints.
II. BACKGROUND
A product change generally refers to the process of changing one stable rolling configuration for one
material with specific finishing dimensions to another configuration with a different material and finishing
dimensions, with minimal downtime and scrap production. Frequently, the number of rolling stands is also
varied. An unsuccessful product change may result in production delays of more than one hour, whereas a
successful one is usually completed in a matter of minutes. The difficulties of repetitively reproducing a product
change with minimal disruption have challenged industrial researchers, who now have responded with a study
of effective planning for operators. Systematic study by simulation and statistical methods, that guide the
operator to optimal process parameter settings for stable and dimensionally accurate rolling.
The literature in the field of industrial plant energy efficiency may be essentially divided into three categories:
1. Plant design optimization
2. Operational plant management: scheduling, maintenance, etc..
3. Optimized plant revamping
It is not possible at all to find models universally applicable, they are mainly devoted to specific sector
and often designed "ad hoc" for a given case study. The differences between the various types of industry
requires a distinction to be effective and potentially applicable. The area most affected by studies is the petrol-
chemical: this outcomes is easily justified. One of the most recent issue is related to the effort on how to extend
the current analysis to all areas now that the energy problems are increasingly important in each sector. The
most frequently used technique for the optimized design of total site utility systems is the tool proposed by
Papoulias and Grossmann (1983), that is mainly based on a super-structure of the system. The models for the
operational management are mainly focused on the problems of choice in the distribution of the load on units of
service and the scheduling of maintenance. The problem is mainly treated recurring to mixed linear
programming models (MILP). Examples refers to the work of Iyer and Grosmann (1997, 1998): the objective is
the minimization of costs on an annual basis, through the search for a multi operational programming optimum
period. Another approach, in the literature, is the simulation. In the case illustrated by Prasad Saraph (2001) has
tried to solve the problem of water in a biotech industry: the variability of industrial process together with a lack
of planning for the provision of service led to interruptions in production due to lack of water.
One of the most popular techniques for the plant revamping optimization is the pinch analysis. The
primary objective of pinch analysis, regardless of the field where it is applied, is to optimize the use of materials
or energy, achieving economic and environmental benefits. A powerful tool for optimizing energy in the
industrial, which also exploits the pinch analysis, is the SitEModellingTM (Wolff et al, 1998) In the literature on
steel production there are several paper focused on energy reduction of the plant, on of the most relevant is
Larsson and Dahl (2003) where a model based on an optimizing routine is proposed. The main idea is to make a
total analysis method for the steel plant system including the surroundings. The model is used to analyze the
different possibilities for energy savings and practice changes within the system. The effect of optimizing the
total system versus separate optimization of the different sub processes is illustrated.
III. PROCESS DESCRIPTION
Here general process of a mini-steel plant will be described, according to the flow diagram in figure
1.In this section we describe the machines of the rolling mill and their interactions rules following the
production flow. The department under consideration produces different kinds of steels obtained using specific
reduction processes. The department is formed by Reheating furnace, 20 Stands continuous mill, Cooling bed,
garret and block mill. For the production of special size steels it is used a Garret , Block mill. Moreover, in
order to understand correctly the system analyzed, it is important to consider that the rolling stand is the
bottleneck of the department, because it has a more energy consumption than the other stations. Another
important variable is the reheating furnace that can be consumed more power in air blowers. Summarizing, the
objective of the effective planing to set the speed and blower and furnace temperature in order to get the
required temperature and minimum power consumption in air blower.
3. Energy Efficiency in a Steel Rolling Mill by Effective Planning (Case Study)
www.ijeijournal.com Page | 13
Figure 1: Steel Plant Production – Flow Diagram
Figure 2: Energy Patterns in Rolling mill and Reheating Furnace
In the steel rolling mill first the Billet heated in the reheating furnace then it pass through the no of
passes to convert it into the required size. The reconditioning of the product done at the various bright bar
section. Rolling Mills Analyzing the steel flow diagram of the mini-steel plant. Mainly the maximum power
consumption takes place at the different stands used for rolling.
III.1. Requirement of Energy
A typical energy distribution of the modern rolling mill is shown in Figure 2.
Depending upon the rolling mill , about 75 to 80% of the total energy is Chemical and electric. While the
remainder is lost to the, waste gas, Hydraulic, lubrication and cooling. Just a decade ago VFD introduced and
can be used for the optimization of the furnace combustion air requirement and Auxiliary power requirement
system. This will reduced the power consumption by 20 to 30 %. Continuing advancements in Rolling Mills
technology now make it possible to optimize the size of the motor and cooling system can achieve the same
performance and consequently a lower Energy consumption.
IV. THE SYSTEM TO BE ADOPTED
Models for optimization, simulation and calibration: Mill availability and yield will certainly improve by
being able to model, simulate, and optimize production speed and energy requirements, while controlling bar
dimension, roll load sharing, groove utilization, and similar important product change quantities. The on line
data available to the mill floor worker – via an easy-to-use HMI – about the parameter settings that should be
used to reach optimal conditions. With this complex calculations take less than 6-7 minute to complete, but in
actual fact most are often completed in no more than ten seconds. This can be accessed through an auxiliary PC
located in the operators’ control room alongside the regular ABB Rolling Mill Control (RMC™) and Inter stand
Dimension Control (IDC™) displays.
Inter stand Dimension Control for rolling stability: The IDC concept has been developed for rod and bar
mills to achieve tighter tolerances head to tail, as well as improved product quality, yield, and availability. In
addition it ensures fast product and dimension changes. It functions as an early indicator of abnormal mill
conditions, which ensures a more consistent mill set-up and improved pass schedules. The key IDC component
is the on line bar dimensional measurement. On line information from the drive system and seamlessly
communicated to the operator. The operator can take corrective action by few parameter settings (selected by the
operator) required for various process simulation and optimization tasks. Setting time for the operator is very
less due to this information.
Energy Balance in Rolling Mill
Chemical
Electrical
Waste gas
Auxiliary
4. Energy Efficiency in a Steel Rolling Mill by Effective Planning (Case Study)
www.ijeijournal.com Page | 14
Stable rolling is defined by a continuous mass flow rate throughout the process line with minimal
inter stand forces, and in particular compressive stresses: This configuration in combination with high speed
algorithms allow for a great number of interactive process optimization tasks in a short period of time. Having identified
parameter settings that meet his demands, the operator can store these results as a new RMC rolling schedule for retrieval at
some later date. In summary, the ADM tool requires only minimal configuration work before it starts delivering useful
results.
Rolling maximization and minimization: Stable rolling is defined by a continuous mass flow rate
throughout the process line with minimal inter stand forces, and in particular compressive stresses. Maintaining
this together with the required dimensional accuracy of the finished product challenges the operator’s skills. The
ADM tool provides additional capabilities to assist the operator in fully understanding changes that occur in the
state of the current rolling, and to plan for the optimization of an upcoming production run. With this tool
stability and product dimensional quality are ensured and a vast number of related and important aspects
previously beyond the reach of the operator can now be controlled. The maximization or minimization of
selected production aspects while keeping related and dependent aspects within permissible constraints
What cause derailment or cobble: Derailment happens because of a mass flow mismatch, which occurs
when an upstream pair of rolls “feeds” more material per unit of time than the neighboring downstream pair of
rolls is able to “swallow”. The underlying cause of derailment is a lack of quantitative understanding as to how
various process parameter settings (roll gap, motor speed, inter stand tension etc.) affect bar deformation in the
roll groove and hence the process mass flow. In mills with frequent Product Changes and small batches there is
a risk of several such events per day.
Energy consumption minimization: Minimizing energy consumption is one such optimization choice
available to the operator, while at the same time allowable upper and lower limits are defined for bar width,
area, speed, inter pass tension, roll gap and motor speed. The finishing dimension and speed of the production to
be analyzed is always prescribed without the need for user intervention. Using the selected aspect values the
ADM optimizer then solves this nonlinear minimization problem and returns the optimal rolling energy
consumption value, or power, as well as the influence of the determined optimal parameters (usually roll gaps
and reduction factors) on width, area, tension, etc. The complex dependencies between process parameters are
handled by consistent rolling models linking mass flow, spread, inter pass tensions, torque and power.
Controlling bar width and area, so called groove utilization control, is not only of importance when reducing roll
wear, but it also plays an important part in preventing damage to the bar by ensuring it does not overfill the roll
groove. Should the user by accident define inconsistent parameters leading to a solution exceeding one or more
of the parameter bounds, a solution diagnostics procedure advises him how to obtain an admissible solution.
Other optimization objectives include: The maximization of production speed. Again system limits such as
maximum available motor power, torque, and speed are set as well as limits defined at the operator’s discretion
based on his experience and knowledge. The matching of individual stand powers to predefined targets, so
called load leveling. The matching of individual bar widths and cross section areas, also with predefined targets.
The latter case is of concern when groove utilization control is the primary goal of optimization. Objectives,
constraints, and process parameters controlling thermodynamics and micro structural properties will be
included.
The simulation functionality of the tool allows quantities such as bar width, area and speed to be
quickly calculated. It also allows sensitivity analyses to be performed.
Inter pass tension modeling: In all optimization selections the inter pass tension plays an important role and
constraints ensuring stable rolling without compressive stresses may be specified, as well as tension set points. A
unique modeling feature is the way in which tensions change bar dimensions, both in the deformation and inter
stand zones, while at the same time the overall model maintains a continuous mass flow. This is not only
violated in other modeling approaches, but it also paves the way for a consistent analysis of the so called
“endless rolling”, in which bar dimensions may be controlled by relatively high inter stand tensions.
Model adaptation: Optimization may be carried out either for the current production run or for an upcoming
one following a Process procedure. For a current run, on-line drive system and on line-gauge readings are used
for model adaptation so that model accuracy is enhanced. Calibrated models from previous production runs may
also be used in the Process optimization provided their rolling conditions are similar. It is required to
automatically decides the best model adaptation scheme. It is common knowledge that a rolling power model
greatly benefits from adaptation and this in turn affects the accuracy with which energy consumption is
5. Energy Efficiency in a Steel Rolling Mill by Effective Planning (Case Study)
www.ijeijournal.com Page | 15
determined. Process parameter inputs include roll gaps and motor speeds, along with information on billet and
roll grooves. This feature is very useful when analyzing the effect of small changes or disturbances to the
process parameters obtained in an optimization – so called sensitivity analyses. One simulation task requires a
few tenths of a second for a 20-stand configuration.
A statistical approach with uncertain materials and process conditions: Suppose a new material with
uncertain materials properties (essentially its flow stress or resistance to deformation) is to be rolled the first
time. To check for potential problems the operator may want to investigate for example the safety margins with
respect to unstable rolling. A statistical evaluation of the likelihood of inters pass tensions exceeding allowable
ranges. The core of this feature is based on the well known Monte Carlo approach, which has been adapted to
the rolling models in a novel way. Results are presented as a probability of stable rolling for the configuration
and process parameters at hand. In fact, all types of results pertaining to the bar, rolls and drives previously
discussed may now be expressed as confidence intervals with lower and upper limits, rather than as one specific
value obtained in a regular deterministic simulation. This also improves the accuracy of the energy requirement
prediction as this is very sensitive to bar materials deformation properties.
Towards on-line optimization: Further reduction of optimization times towards just one or two seconds is
within reach using the latest numerical optimization developments. A fully automatic on-line optimization tool
is envisioned thus alleviating the need for trial billets. To be more precise, optimization and adaptation is carried
out during the time the bar head travels between the first two stands in a multi stand rolling line.
V. RESULTS
The results obtained after implementing the optimized planning described. In particular we show in
figure 3 the electric energy consumption reduction obtained at the rolling mill. The oil consumption reduction
shown in the fig 4 for reheating furnace.
Fig3 Comparison between the optimize energy consumption and real energy consumption
Fig4 Comparison between the optimize oil consumption and real oil consumption
It is important to note that with the higher section the reduction of the electric consumption are not so
significant because these sizes have the less no of stands in rolling. In these cases the holding time is already
reduced because the rolling rate is fast. The only benefit of the optimization in the case of stands is the right
choice of the stands speed. Observing the results, we obtain a mean reduction of electric consumption of 21%at
the rolling mill.
VI. CONCLUSIONS
In the present work we have proposed a sequence of rolling to avoid the mill down time for pass
change, sample checking and stand change that has the objective to set the speed and the holding time at the
6. Energy Efficiency in a Steel Rolling Mill by Effective Planning (Case Study)
www.ijeijournal.com Page | 16
rolling mill in order to produce the sequence defined by the planning system so as to reduce the electric energy
consumption. Effective planing will avoid the furnace down time for maintenance and rolling schedule.
Predefined down time will help the operator to reduced the temperature and this will result in the less oil
consumption. The use of wast gas in the Mini blast furnace will help to reduced the oil consumption in the
reheating furnace by perfect synchronization with blast furnace operating. Results obtained support company’s
to optimize the usage of strategic leverage. In particular the overall electric energy saving is larger than 20% and
oil saving is larger than 30%.
REFERENCES
[1]. Cheung K.Y., Hui C.W., 2004. Total site scheduling for better energy utilization, Journal of Cleaner
[2]. Production, 12 (2), 171-184
[3]. Gorlani C. and Zavanella L., “Continuous simulation and industrial processes: electrode consumption in arc furnaces”, International
Journal of Production Research, 1993, 31(8), 1873-1890
[4]. Iyer R.R., Grossmann I.E., 1997.Optimal multi period operational planning for utility systems, Computers and chemical
engineering, 21, 787–
[5]. Siwei Cheng, Yi Du, Jose A. Restrepo, Pinjia Zhang and Thomas G. Habetler, “Power Electronics” IEEE Trans. On volume: PP,
Issue: 99 2012, Page(S) 1-1
[6]. Walter J and Konstanty, “DC Motor Cooling Considerations” (PPIC) 2011, page(s): 159 – 162
[7]. Paul Buckley, H. Hawkeye King, Marta Wang and Blake Hannaford, (WHC) IEEE 2011,