Energy is one of the largest costs for process facilities. While operators can save significant money with minimal impact to production, they often lack structured and automated digital technologies to identify and sustain performance improvements. The situation is further exacerbated by the lack of inconsistent data and inaccurate tools. This presentation will showcase how a process facility combines real-time data, site-wide digital twin, and proprietary analytics in a digital energy management solution to deliver up to 15% sustainable reduction in facility energy costs and carbon footprint. Performance gaps are automatically identified and broken down using a best technology benchmark to highlight improvement areas in real-time. Daily facility energy improvement opportunity lists are provided for operators to maximize value and track the efficacy of planned capital projects with accurate projections so operators can make faster informed decisions for capital allocation throughout the implementation cycle.
Asia NOC Bridges Business-wide Performance Objectives and KPIs through an Adv...Yokogawa1
Misalignment and conflicting performance objectives between management and front line operators is the root cause of a lot of profit erosion. Businesses need systematic ways to align senior management objectives and operating KPIs. This presentation will demonstrate how a National Oil Company in Asia utilized data analytics and KPI trees with drill-down capabilities to systematically align performance objectives and KPIs in its gas processing division to achieve profit driven operations. The presentation will also highlight how first principles digital twins can be incorporated to serve as a soft sensor to deliver further accuracy and rigour.
A New Digital Maintenance Platform in a Large Petrochemical Facility to Ident...Yokogawa1
Every day, asset management teams must reliably deliver the highest predictable availability at the lowest cost. The focus should be on providing information and understanding directly to decision makers–human or machine–in a way that drives the business as a whole to make improvements. Braskem operates a very large petrochemical complex in Camacari, Bahia, Brazil that produces ethylene, polyethylene and PVC, and other chemicals. The site has recently embarked on a project to implement a digital maintenance platform to deliver enhanced situational awareness and decision support. The presentation will showcase the goals of the project and how the platform will gather data from a variety of sources in a secure manner. It will describe the automation tools, databases, manual inputs, event sorting, data modeling, and data science to deliver the intended outcomes.
Building a Robust Foundation for Digital Asset ManagementYokogawa1
No sound operational decision can be made without relevant and accurate plant information to support it. No timely decision can be made if accessing source information is difficult. And no automated actions should be allowed without reliable data inputs and confirmed availability of final control elements. This presentation will showcase how Koch has achieved a solid digital foundation from the sensor level to the digital twin of sensors and beyond, including standardization of how new system devices are categorized and templated making maintenance activities highly repeatable and efficient. The outcome is a solid data foundation off of which higher level advanced analytics can be undertaken for superior asset performance.
How green standards are changing data center design and operationsSchneider Electric
An effort is underway to harmonize certain energy-efficiency standards. Could global standardization ultimately diminish the technical effectiveness of such standards? Which will emerge as the de facto standards? This session will explore these questions, as well in data center efficiency and sustainability guidelines.
Optimization in the conceptual or feasibility stage provides:
Specifications for the Licensor Process Design Package (PDP) before design begins and opportunities to minimize utilities capital costs
Energy Management Impact on Distributed Control Systems (DCS) in Industrial E...Schneider Electric
Today, the pressure is on enterprises to meet environmental targets. The prospect of losing business if sustainability objectives are not met is very real. This is leading to a future where top environmental performers will become market leaders. To remain competitive, companies need to produce goods in an energy efficient manner. This paper examines industrial efficiency improvement measures that focus on equipment, process, and people.
Öffentliche Präsentation der SAP bzgl. SAP Leonardo. Leonardo vereint Big Data, Machine Learning, IoT, Blockchain und andere Technologien. Darstellung von SAP PdMS on premise. Die Basis für Predictive Maintenance (vorausschauende Wartung) bilden mit Sensoren und vernetzten, eingebetteten Systemen ausgestattete Anlagen. Die Sensoren erfassen den Verschleiß kritischer Bauteile einer Maschine und übertragen die Informationen an die SAP Cloud Plattform oder die On-Premise-Lösung. Mit Hilfe der dort zur Verfügung gestellten Predictive Analytics Services werden die Echtzeitdaten analysiert und verbessern durch eine optimierte Instandhaltung den Wartungsplan für das Team an Servicetechnikern.
Future-Proofing Asset Failures with Cognitive Predictive MaintenanceAnita Raj
The industry is reeling under the explosion of data generated by smart sensors, motors, actuators, machines, and other “things”. With the pace at which production is happening currently, the last straw would be an asset breakdown. Statistics show that the automotive industry deals with an alarming 800 hours of downtime every month. The cost of such downtime is a staggering US$22,000 per minute, or US$12.6 million a month.
Additionally, data shows that 20% of these breakdowns are common or predictable and that a majority – a shocking 80% – of them are seemingly random instances and cannot be predicted.
According to McKinsey, the Industrial IoT (IIoT) market is worth $11 trillion, and predictive maintenance solutions can help companies save $630 billion over the next 15 years. So, how can manufacturers tap these savings and benefits?
Learn how manufacturer and suppliers can experience the power of Cognitive Predictive Maintenance (CPdM) to avoid unplanned downtimes and drive greater efficiencies.
Asia NOC Bridges Business-wide Performance Objectives and KPIs through an Adv...Yokogawa1
Misalignment and conflicting performance objectives between management and front line operators is the root cause of a lot of profit erosion. Businesses need systematic ways to align senior management objectives and operating KPIs. This presentation will demonstrate how a National Oil Company in Asia utilized data analytics and KPI trees with drill-down capabilities to systematically align performance objectives and KPIs in its gas processing division to achieve profit driven operations. The presentation will also highlight how first principles digital twins can be incorporated to serve as a soft sensor to deliver further accuracy and rigour.
A New Digital Maintenance Platform in a Large Petrochemical Facility to Ident...Yokogawa1
Every day, asset management teams must reliably deliver the highest predictable availability at the lowest cost. The focus should be on providing information and understanding directly to decision makers–human or machine–in a way that drives the business as a whole to make improvements. Braskem operates a very large petrochemical complex in Camacari, Bahia, Brazil that produces ethylene, polyethylene and PVC, and other chemicals. The site has recently embarked on a project to implement a digital maintenance platform to deliver enhanced situational awareness and decision support. The presentation will showcase the goals of the project and how the platform will gather data from a variety of sources in a secure manner. It will describe the automation tools, databases, manual inputs, event sorting, data modeling, and data science to deliver the intended outcomes.
Building a Robust Foundation for Digital Asset ManagementYokogawa1
No sound operational decision can be made without relevant and accurate plant information to support it. No timely decision can be made if accessing source information is difficult. And no automated actions should be allowed without reliable data inputs and confirmed availability of final control elements. This presentation will showcase how Koch has achieved a solid digital foundation from the sensor level to the digital twin of sensors and beyond, including standardization of how new system devices are categorized and templated making maintenance activities highly repeatable and efficient. The outcome is a solid data foundation off of which higher level advanced analytics can be undertaken for superior asset performance.
How green standards are changing data center design and operationsSchneider Electric
An effort is underway to harmonize certain energy-efficiency standards. Could global standardization ultimately diminish the technical effectiveness of such standards? Which will emerge as the de facto standards? This session will explore these questions, as well in data center efficiency and sustainability guidelines.
Optimization in the conceptual or feasibility stage provides:
Specifications for the Licensor Process Design Package (PDP) before design begins and opportunities to minimize utilities capital costs
Energy Management Impact on Distributed Control Systems (DCS) in Industrial E...Schneider Electric
Today, the pressure is on enterprises to meet environmental targets. The prospect of losing business if sustainability objectives are not met is very real. This is leading to a future where top environmental performers will become market leaders. To remain competitive, companies need to produce goods in an energy efficient manner. This paper examines industrial efficiency improvement measures that focus on equipment, process, and people.
Öffentliche Präsentation der SAP bzgl. SAP Leonardo. Leonardo vereint Big Data, Machine Learning, IoT, Blockchain und andere Technologien. Darstellung von SAP PdMS on premise. Die Basis für Predictive Maintenance (vorausschauende Wartung) bilden mit Sensoren und vernetzten, eingebetteten Systemen ausgestattete Anlagen. Die Sensoren erfassen den Verschleiß kritischer Bauteile einer Maschine und übertragen die Informationen an die SAP Cloud Plattform oder die On-Premise-Lösung. Mit Hilfe der dort zur Verfügung gestellten Predictive Analytics Services werden die Echtzeitdaten analysiert und verbessern durch eine optimierte Instandhaltung den Wartungsplan für das Team an Servicetechnikern.
Future-Proofing Asset Failures with Cognitive Predictive MaintenanceAnita Raj
The industry is reeling under the explosion of data generated by smart sensors, motors, actuators, machines, and other “things”. With the pace at which production is happening currently, the last straw would be an asset breakdown. Statistics show that the automotive industry deals with an alarming 800 hours of downtime every month. The cost of such downtime is a staggering US$22,000 per minute, or US$12.6 million a month.
Additionally, data shows that 20% of these breakdowns are common or predictable and that a majority – a shocking 80% – of them are seemingly random instances and cannot be predicted.
According to McKinsey, the Industrial IoT (IIoT) market is worth $11 trillion, and predictive maintenance solutions can help companies save $630 billion over the next 15 years. So, how can manufacturers tap these savings and benefits?
Learn how manufacturer and suppliers can experience the power of Cognitive Predictive Maintenance (CPdM) to avoid unplanned downtimes and drive greater efficiencies.
Operational Efficiency Based on Innovative Automation, Industry Expertise, En...Sergey Mishin
Eastern Europe (Russian speaking) conference for #executives in #refining and #petrochemistry. The presentation describes why #automation is crucial for financial results changing #industries in a way similar to iPhone for personal life 10 years ago.
Learning simulators reflect the expertise of software programmers, technical experts and learning professionals in creating real-life workplace scenarios that require decision making on the part of the training employee. Not to be confused with e-learning or laboratory practice, these simulators offer the flexibility to address the aptitudes, tools and motivations specific for the employee’s role. By actively involving trainees and exposing them to the consequences and results of their decisions, learning is improved significantly compared to training that does not involve interactivity. This approach also improves the trainee’s motivation and confidence. Organizations benefit not only from more comprehensive employee knowledge but also heightened on-the-job employee engagement – all with less training cost and time invested.
Business sectors that see particular advantage to learning simulators are public utilities, industrial machinery, transportation, education, social services, and hotel and restaurant services. Beyond learning the processes and procedures involved and the relevant regulations and safety guidelines for the specific sector, the employee gains appropriate customer interaction skills through real-world scenarios requiring decision making and evaluation of the results of those decisions.
Schneider Electric has developed learning simulators that have proven highly successful for Ministry-level programs and for industry federations in Spain; for risk prevention programs in regional governments; and socially and environmentally sustainable practices in construction work. In these projects, Schneider Electric provided comprehensive definition, design, and technical development and production expertise to help clients realize the benefits of effective learning simulation.
The smart grid - Supply and demand side equivalent solutionsSchneider Electric
With the smart grid comes new ways to solve old problems. We will compare and contrast the various ways to solve grid related problems then - the old way, and now - the smart grid way.
Integrating efficiency into healthcare - a life cycle approachSchneider Electric
The Healthcare financial situation is critical. Energy Efficiency and Productivity Opportunities are rarely delivered as expected. Why? Learn how to ensure the lowest life cycle costs of your facility infrastructure, improve financial performance, improve patient and staff safety, simplify regulatory practices and increase patient satisfaction.
[Oil & Gas White Paper] Optimizing Pipeline Energy ConsumptionSchneider Electric
Effective energy management can benefit the hydrocarbon pipeline operator. Energy consumption costs – the leading expense for most operators – are rising continuously; however, the commitments needed on the part of the operator often impede implementation of energy-saving practices.
Key to effective energy management is the ability to quantify energy consumption accurately at any specific time and its cost and that of drag reducing agent (DR) use. Operators committed to energy management can implement a real-time, system-wide power optimization solution that evaluates the resource efficiency of a steady-state model of the pipeline. This solution will also perform costing runs of alternative configurations, formulated for the next energy cost rate or other ‘what if’ scenarios, in order to find the most energy-efficient alternative that maintains operational safety and integrity. Implementing these alternatives, the operator can save one percent to five percent of energy costs and reduce carbon emissions.
This advanced information management technology makes these costing considerations so practical they can become a routine, real-time operations process. Putting available information to work with this solution can make power optimization extremely realistic and highly rewarding for the company while supporting overall operational security, safety and environmental stewardship.
As presented during Hannover Messe 2014...When it comes to Industrial applications we realise that its not just about the amount of energy that we consume but about what we do with the energy.
For this reason we are combining the industrial automation tools which control our processes with our energy measurement and analysis within the context of production.
The Metals, Minerals & Mining industry has a resource
problem — operators that are untrained and subject to
a high rate of employee attrition; and plants that operate
at less than optimized conditions. To reverse the trend,
the industry must promote and accelerate mining
operations excellence. It must be done quickly, with
little room for uncertainty.
Each individual business with their own unique assets and supply chain optimizing their decisions according to their incentives, abilities and working culture. The latest developments in Planning (Petro) and AI use cases.
[Oil & Gas White Paper] Best Practices Support Success in the Open Natural Ga...Schneider Electric
Information management tools support responsiveness in today’s complex markets.
The changes throughout the energy supply market that have resulted from business globalization require natural gas transport operators to practice flexibility. Yet they need to keep safety and security their highest priorities in this time of unprecedented change. Reliable gas network information management systems and best practices relating to commodity data are more important than ever to improve or even maintain competitiveness and responsiveness in the open market environment.
One consequence of increasingly complex markets is the growing numbers of gas flow, quantity and quality measurements involved—measurements that are vital to financial accounting and subject to customer transparency. Best practices recommend the operator’s gas measurement analysis system accurately and completely collect data; validate per user-specified rules; properly flag, adjust and estimate data where needed; rigorously identify measurement imbalances and potential errors; and maintain audit reports.
One leading gas transmission company in Europe took advantage of Schneider Electric’s experience in the North American deregulated gas market by implementing a Schneider Electric-created turnkey information management solution to help it comply with liberalization mandated in Europe. The resulting monitoring and automated control system included several advanced applications for meeting customer reporting procedures and processes required by the new mandate. The system fully accepts third-party applications, eliminating costly proprietary enhancements and maintenance needed for it to be reliable for the long term.
The system also provides another best practice for safety and security: real-time, redundant backup of the transmission infrastructure’s main Control Center. Finally, the solution provides logistics capabilities that enable accurate tracking and reporting of allocations and delivery, to separate production and supply from transmission operations.
The information management solution that offers these best practices related to measurement accountability, operational flexibility and security helps the user meet global and open market trends while efficiently satisfying regional or country-specific requirements.
Human error is directly attributable to 70% of data center outages according to the Uptime Institute. This session highlights the critical importance of having an effective operations and maintenance (O&M) program and provides a comprehensive, high-level overview of the necessary elements of a program to operate a critical facility efficiently and reliably throughout its life cycle.
Facility personnel often face the choice of maintaining aging equipment or buying new. Now there is another, more cost-effective, option to increase equipment reliability, efficiency and productivity….modernization. Learn key considerations and advantages of upgrading existing equipment to current technology.
Learn how you can achieve sustained energy performance by addressing the 4 key hurdles most clients have. Understand how to unlock the power of data from your facilities so help you achieve your business goals
How Data Center Infrastructure Management Software Improves Planning and Cuts...Schneider Electric
Business executives are challenging their IT staffs to convert data centers from cost centers into producers of business value. Data centers can make a significant impact to the bottom line by enabling the business to respond more quickly to market demands. This presentation demonstrates, through a series of examples, how data center infrastructure management (DCIM) software tools can simplify operational processes, cut costs, and speed up information delivery.
The Productization of the Data Center-- With the rapid evolution of the data center service provider segment, the concept of efficiency has expanded to embrace not only energy, but a multitude of elements including capital, operations, and the useful life of the facility as well. In this presentation, Chris Crosby, CEO of Compass Datacenters will demonstrate how the historical development of related industries dictates that productization is the required methodology to deliver these expanded efficiency requirements to an increasingly sophisticated customer base.
Power Conservation Technology Integration WebinarLegend Power
On Jan 1, 2010, Legend Power hosted a webinar "Stop the Band-Aid Approach to Commercial Power Conservation. Get Strategic."
Panelists Included:
Peter Leathley, Pulse Energy
Mr. Dominique Dodd, President & CEO, TE
Victoria Kamsler, Chief Ethics Officer & Research Director, Greenfiniti
Dr. William Dunford, P. Eng, CTO Legend Power
Mark Petersen P.Eng., Lead Engineer, Legend Power
Operational Efficiency Based on Innovative Automation, Industry Expertise, En...Sergey Mishin
Eastern Europe (Russian speaking) conference for #executives in #refining and #petrochemistry. The presentation describes why #automation is crucial for financial results changing #industries in a way similar to iPhone for personal life 10 years ago.
Learning simulators reflect the expertise of software programmers, technical experts and learning professionals in creating real-life workplace scenarios that require decision making on the part of the training employee. Not to be confused with e-learning or laboratory practice, these simulators offer the flexibility to address the aptitudes, tools and motivations specific for the employee’s role. By actively involving trainees and exposing them to the consequences and results of their decisions, learning is improved significantly compared to training that does not involve interactivity. This approach also improves the trainee’s motivation and confidence. Organizations benefit not only from more comprehensive employee knowledge but also heightened on-the-job employee engagement – all with less training cost and time invested.
Business sectors that see particular advantage to learning simulators are public utilities, industrial machinery, transportation, education, social services, and hotel and restaurant services. Beyond learning the processes and procedures involved and the relevant regulations and safety guidelines for the specific sector, the employee gains appropriate customer interaction skills through real-world scenarios requiring decision making and evaluation of the results of those decisions.
Schneider Electric has developed learning simulators that have proven highly successful for Ministry-level programs and for industry federations in Spain; for risk prevention programs in regional governments; and socially and environmentally sustainable practices in construction work. In these projects, Schneider Electric provided comprehensive definition, design, and technical development and production expertise to help clients realize the benefits of effective learning simulation.
The smart grid - Supply and demand side equivalent solutionsSchneider Electric
With the smart grid comes new ways to solve old problems. We will compare and contrast the various ways to solve grid related problems then - the old way, and now - the smart grid way.
Integrating efficiency into healthcare - a life cycle approachSchneider Electric
The Healthcare financial situation is critical. Energy Efficiency and Productivity Opportunities are rarely delivered as expected. Why? Learn how to ensure the lowest life cycle costs of your facility infrastructure, improve financial performance, improve patient and staff safety, simplify regulatory practices and increase patient satisfaction.
[Oil & Gas White Paper] Optimizing Pipeline Energy ConsumptionSchneider Electric
Effective energy management can benefit the hydrocarbon pipeline operator. Energy consumption costs – the leading expense for most operators – are rising continuously; however, the commitments needed on the part of the operator often impede implementation of energy-saving practices.
Key to effective energy management is the ability to quantify energy consumption accurately at any specific time and its cost and that of drag reducing agent (DR) use. Operators committed to energy management can implement a real-time, system-wide power optimization solution that evaluates the resource efficiency of a steady-state model of the pipeline. This solution will also perform costing runs of alternative configurations, formulated for the next energy cost rate or other ‘what if’ scenarios, in order to find the most energy-efficient alternative that maintains operational safety and integrity. Implementing these alternatives, the operator can save one percent to five percent of energy costs and reduce carbon emissions.
This advanced information management technology makes these costing considerations so practical they can become a routine, real-time operations process. Putting available information to work with this solution can make power optimization extremely realistic and highly rewarding for the company while supporting overall operational security, safety and environmental stewardship.
As presented during Hannover Messe 2014...When it comes to Industrial applications we realise that its not just about the amount of energy that we consume but about what we do with the energy.
For this reason we are combining the industrial automation tools which control our processes with our energy measurement and analysis within the context of production.
The Metals, Minerals & Mining industry has a resource
problem — operators that are untrained and subject to
a high rate of employee attrition; and plants that operate
at less than optimized conditions. To reverse the trend,
the industry must promote and accelerate mining
operations excellence. It must be done quickly, with
little room for uncertainty.
Each individual business with their own unique assets and supply chain optimizing their decisions according to their incentives, abilities and working culture. The latest developments in Planning (Petro) and AI use cases.
[Oil & Gas White Paper] Best Practices Support Success in the Open Natural Ga...Schneider Electric
Information management tools support responsiveness in today’s complex markets.
The changes throughout the energy supply market that have resulted from business globalization require natural gas transport operators to practice flexibility. Yet they need to keep safety and security their highest priorities in this time of unprecedented change. Reliable gas network information management systems and best practices relating to commodity data are more important than ever to improve or even maintain competitiveness and responsiveness in the open market environment.
One consequence of increasingly complex markets is the growing numbers of gas flow, quantity and quality measurements involved—measurements that are vital to financial accounting and subject to customer transparency. Best practices recommend the operator’s gas measurement analysis system accurately and completely collect data; validate per user-specified rules; properly flag, adjust and estimate data where needed; rigorously identify measurement imbalances and potential errors; and maintain audit reports.
One leading gas transmission company in Europe took advantage of Schneider Electric’s experience in the North American deregulated gas market by implementing a Schneider Electric-created turnkey information management solution to help it comply with liberalization mandated in Europe. The resulting monitoring and automated control system included several advanced applications for meeting customer reporting procedures and processes required by the new mandate. The system fully accepts third-party applications, eliminating costly proprietary enhancements and maintenance needed for it to be reliable for the long term.
The system also provides another best practice for safety and security: real-time, redundant backup of the transmission infrastructure’s main Control Center. Finally, the solution provides logistics capabilities that enable accurate tracking and reporting of allocations and delivery, to separate production and supply from transmission operations.
The information management solution that offers these best practices related to measurement accountability, operational flexibility and security helps the user meet global and open market trends while efficiently satisfying regional or country-specific requirements.
Human error is directly attributable to 70% of data center outages according to the Uptime Institute. This session highlights the critical importance of having an effective operations and maintenance (O&M) program and provides a comprehensive, high-level overview of the necessary elements of a program to operate a critical facility efficiently and reliably throughout its life cycle.
Facility personnel often face the choice of maintaining aging equipment or buying new. Now there is another, more cost-effective, option to increase equipment reliability, efficiency and productivity….modernization. Learn key considerations and advantages of upgrading existing equipment to current technology.
Learn how you can achieve sustained energy performance by addressing the 4 key hurdles most clients have. Understand how to unlock the power of data from your facilities so help you achieve your business goals
How Data Center Infrastructure Management Software Improves Planning and Cuts...Schneider Electric
Business executives are challenging their IT staffs to convert data centers from cost centers into producers of business value. Data centers can make a significant impact to the bottom line by enabling the business to respond more quickly to market demands. This presentation demonstrates, through a series of examples, how data center infrastructure management (DCIM) software tools can simplify operational processes, cut costs, and speed up information delivery.
The Productization of the Data Center-- With the rapid evolution of the data center service provider segment, the concept of efficiency has expanded to embrace not only energy, but a multitude of elements including capital, operations, and the useful life of the facility as well. In this presentation, Chris Crosby, CEO of Compass Datacenters will demonstrate how the historical development of related industries dictates that productization is the required methodology to deliver these expanded efficiency requirements to an increasingly sophisticated customer base.
Power Conservation Technology Integration WebinarLegend Power
On Jan 1, 2010, Legend Power hosted a webinar "Stop the Band-Aid Approach to Commercial Power Conservation. Get Strategic."
Panelists Included:
Peter Leathley, Pulse Energy
Mr. Dominique Dodd, President & CEO, TE
Victoria Kamsler, Chief Ethics Officer & Research Director, Greenfiniti
Dr. William Dunford, P. Eng, CTO Legend Power
Mark Petersen P.Eng., Lead Engineer, Legend Power
Energy Savings & Green Considerations in Motion Control WebinarDesign World
Everybody is talking more and more about “green” engineering these days. While its beginning to become clearer what this means in the fields of alternative energy and consumer energy usage, it’s still not at all clear what this means for the world of motion control. Some of the leading motion control companies discuss and explore your questions about “green” design principles and how they apply to applications in the motion control world.
By watching this special 1-hour free webinar you will gain a better understanding of the key factors involved in “green” motion control and their relation to the projects you’re working on now and in the future.
Top 10 Products That Save Money - David McDougall, EnerNOCMassRecycle
Presentation delivered at MassRecycle's 4th Annual Green Office / Green Facility Conference, Bentley University, June 15, 2010. Get invited to next year’s conference by signing up to MassRecycle’s free email newsletter at www.massrecycle.org.
Optimized Energy Management and planning tools for the Iron and Steel Industr...Schneider Electric
With Iron and Steel industry being the 2nd largest energy consuming industrial sector, it is important to analyze and take measures for reducing energy consumption in steel plants as well as increasing productivity and improve bottom line. This presentation describes what Energy Management process is and provides tips for execution.
Qi Square: Digitizing Energy Efficiency Through Virtual AuditsNilesh Y. Jadhav
Presentation done by Qi Square CEO, Mr. Nilesh Jadhav at the Future Energy Show 2019 in Thailand. Presentation describes the Virtual Audit Process for energy performance improvements in buildings. A case study is presented to illustrate the concept and process. Launch of the 'Virtual Audits Live' analytics tool is highlighted with a video.
Paul Hamilton, Schneider Electric: Lean and Clean: Equipping Modern Manufactu...guest3e1229f
On Friday, March 19, Alliance staff and industry experts discussed energy efficiency's role in reducing greenhouse gas emissions in the industrial sector.
Paul Hamilton, Schneider Electric: Lean and Clean: Equipping Modern Manufactu...Alliance To Save Energy
On Friday, March 19, Alliance staff and industry experts discussed energy efficiency's role in reducing greenhouse gas emissions in the industrial sector. http://ase.org/content/article/detail/6517
Optimized Energy Management and Planning Tools for the Iron and Steel IndustrySchneider Electric
Copyright AIST Reprinted with Permission. Presented at the 2013 Iron and Steel Technology Conference and Exposition (AISTech 2013). According to EDF (environmental defense fund) the energy cost for the U.S. iron and steel industry reached U$ 6.8B / year (2008). The industry has improved its energy efficiency significantly over the last decade, however, there are more energy savings opportunities to be explored.
Toward Energy Management 4.0 – Delivering An Enterprise-wide Energy Managemen...Yokogawa1
Societal mega-trends coupled with the Energy Transition has made energy management an Executive imperative. As both a major operating cost and sustainability driver, companies must aggressively tackle scope 1, 2 and 3 emissions across the whole enterprise, including production/manufacturing, logistics/supply chain, R&D/engineering and SG&A-related functions, such as sales, marketing, finance and facilities management. All aspects of a company’s built environment infrastructure should be incorporated into an enterprise-wide energy management program, including industrial, commercial and retail facilities. This presentation will showcase how a company’s mixed asset portfolio (industrial / commercial / retail) can benefit from a Cloud-based enterprise energy management system to holistically reduce operating cost and emissions. This includes real-time dashboard monitoring and visualization, advanced analytics, AI, intelligent controls and flexible reporting tools based on operational data aggregated and organized from various sources.
Energy Management Software (EMS) is a class of software that deals specifically with reducing energy costs and consumption for buildings, plants or communities. EMS collects energy data from a variety of sources and uses it for four main purposes: Reporting, Monitoring, Control and Engagement
Energy Management Software (EMS) is a class of software that deals specifically with reducing energy costs and consumption for buildings, plants or communities. EMS collects energy data from a variety of sources and uses it for four main purposes: Reporting, Monitoring, Control and Engagement
apidays LIVE Paris - Sopra Steria: path to the industrialization of sustaina...apidays
apidays LIVE Paris - Responding to the New Normal with APIs for Business, People and Society
December 8, 9 & 10, 2020
Sopra Steria: path to the industrialization of sustainable IT with Euromaster
Jérémy Sintes, Digital Transformation & Sobriety Senior Consultant & Pauline Villatte, Business Analyst at Sopra Steria
Similar to Real-time Data, Site wide Digital Twin, and Proprietary Analytics Cuts into Process Facility Cost and Carbon Emission (20)
Data, Data, Everywhere...GA10 Brings It All TogetherYokogawa1
Today, data is everywhere. Collected by a multitude of sensors and devices, most organizations have plenty of data. The question becomes, “What should you do with it all?” In steps Yokogawa’s GA10 Data Logging Software. GA10 acquires data from various instruments via communications, such as EtherNet, Modbus, and OPC-UA, and enables centralized monitoring and recording of data from a PC or remote location. With all your data in the same place, users can make real time decisions while monitoring standard or custom dashboards, receive automatic reports, send email or alarm notifications to maintenance personnel, and much more. Let’s put your data to work, when you bring it all together, with GA10!
In this webinar, we will:
• Share best practices for monitoring, recording, and transferring data
• Challenges in data acquisition and how Yokogawa can help
• Demonstrate GA10 Data Logging Software capabilities:
Seamlessly connect Yokogawa and 3rd party devices
Easily create projects and standard or custom dashboards
Generate automatic reports, notifications, alarms, and emails
Chromatography is introduced to us from a very young age; from marker and coffee filter art projects to the simple black ink separation. All of which the pigments wick from the papers are different speeds when dipped into water, showing the various types of pigments. Chromatography is based on this originally when it was first used for the synthetic dye industry in the early 1990s as Chromatography means color measurement.
This one-hour session covers chromatography basics and explains what makes up a process gas chromatograph that is used today.
We will dive into:
Different types of sample injection methods.
What and how a separation column works.
Basic rules of thumbs for best practice.
An Economic X-ray of Digital TransformationYokogawa1
Recent dynamic market changes and uncertain business environments have placed a sharp focus on digital transformation (DX). DX initiatives must clearly align with business strategies and have a clear vision of where, and how, they add value in terms of enhanced profitability, capital efficiency and license to operate. Focusing on enhanced profitability, we start with a simple refresh of the “Profit & Loss” or income statement and demonstrate how it is impacted by DX initiatives, thereby demonstrating how money is made and lost. These general concepts are reinforced with several real-life examples across the upstream, refining and bulk chemical sectors. Through this exercise, conclusions are drawn on where DX has the greatest immediate impact.
Using A Unique, Next Generation APC Solution To Address Common Problems In Th...Yokogawa1
Shell Chemical's Geismar plant is the largest alpha olefins producer in the world. Being ready, situationally aware and making the right decisions only guarantees success with efficient and effective operational execution. This presentation will profile a series of unique ways to solve common multi-variable process control challenges often encountered in chemical processing units. Several examples will be given that were used at Shell’s Geismar facility to drive superior efficiency and productivity savings.
Open Process Automation: Status of the O-PAS™ Standard, Conformance Certifica...Yokogawa1
Today, end users in the energy and chemical industries must work with and integrate multiple proprietary systems in almost every process plant or facility. These systems include manufacturing execution systems (MES), distributed control systems (DCS), human-machine interfaces (HMI), programmable logic controllers (PLC) and inputs/outputs (I/O). These multiple proprietary systems, and the integration thereof, result in elevated capital costs on new projects and high total cost of ownership through the asset lifecycle, especially in the operation and maintenance of such systems. The Open Process Automation™ Forum (OPAF) is an international forum of end users, system integrators, suppliers, academia, and standards organizations who are working together to develop the specifications for open process control systems. OPAF’s goal is to enable more open and modular systems that supports integration of best-in-class components. This architecture will provide both configuration and application portability across components from different suppliers, thereby reducing system capital cost and total cost of ownership. The vision is a standards-based, open, secure and interoperable process control architecture that reduces the cost of control system upgrades and replacements, as well as removes barriers to technology insertion, with adaptable cybersecurity designed in. This keynote presentation will outline the Open Process Automation initiative, standard and status of industry prototyping, as well as share evidence of commercialization.
The Value-driven Approach to Digitalizing Assets and their Supply ChainsYokogawa1
Facilities must pursue the agile optimization of feedstocks and other inputs with products and operations to reflect market demand and prices. This is how the demand-pull business model is achieved and a measurable change in profitability delivered. This presentation will showcase why a mindset shift to value chain optimization is needed, as well as the deliberate approach needed to digitally transform value chain optimization activities. The value chain digital twin combining traditional solutions and AI will be profiled, along with the first steps that need to be taken, now.
The Role And Evolution Of Advanced Analytics In The Process IndustriesYokogawa1
To improve a plant’s operation, it is important to understand it’s potential for improvement so that the right actions can be taken. Plant data and advanced analytics are the keys to maximizing plant performance. This keynote presentation will highlight the role of advanced analytics and its evolution in the years to come.”
The Digital Twin For Production OptimizationYokogawa1
Digitalization is fundamental to the development of Repsol’s strategy for the future. To meet emerging challenges, the business units have developed an ambitious program comprising multiple projects. Within Repsol’s Industrial Business, development of a refinery digital twin leads the digitalization program. The digital twin allows the business to maximize production while optimizing energy consumption. This session will explore the digital twin project objectives to improve the accuracy and scope of the Refinery LP model that the Programming and Planning departments use to make decisions regarding crude feedstock purchasing and refinery unit operations. It will also report on the context of the business goals achieved, the technology and architecture developed, and the connectivity deployed to communicate results. It will conclude with a description of how enhancements to existing technology work with new technologies to improve value.
Multi-Site Optimization To Drive Value Creation In ChevronYokogawa1
The vision should be one of an asset, or portfolio of assets, that exists in the context of, and is synchronized with, its supply chains and surrounding business environment. The asset(s) together with its supply chain should continuously respond in unison to market signals, disturbances, and optimize holistically. Since the early 1980s Chevron has developed and continued to enhance its proprietary linear programming (LP) technology, Petro, to select the most profitable raw materials, evaluate product options, optimize refinery processes, and promote efficient capital investments across its global refining network. Key to this has been the use of Petro, with its highly efficient multi-location modeling methodology, to optimize raw materials and product supplies between refinery sites. This presentation will showcase how Chevron drives transformational value through multi-site optimization, and how development of associated people and business processes have accompanied evolution of the technology.
Keeping PACE with Advanced Process ControlYokogawa1
The pace was set to start APC sustainability, the software was chosen and the initial implementation was validated. This presentation will focus on how the company is approaching the upgrades, the training of new engineers, the benefits and results from it and the next steps to improve controls and stakeholders reliability.
Yokogawa’s DX and Smart Manufacturing Vision for Building our FutureYokogawa1
DX is the novel use of digital technology to accelerate companies' business strategies and business goals, not technology for technology’s sake. Digitalization and digital transformation involve business and workflow changes, adjustment of enterprise operations and business transformation. But to decide what digital applications and capabilities are required, business value drivers and the various digital challenges that contribute to operational excellence must be mapped out. Once these are known and understood, a holistic approach can be undertaken to drive triple bottom line performance in terms of people, planet and profit. Partners who have domain knowledge and best practices in the industry, are one of our key success factors. This keynote presentation will outline Yokogawa's vision for digital transformation of the energy and chemical industry to achieve their smart manufacturing goals. In doing so demonstrating Yokogawa's commitment to achieving net-zero emissions, making a transition to a circular economy, and ensuring the well-being of all.
Business Model Disruption - The Step-wise Transition to Remote OperationsYokogawa1
Many assets have reached the “point of diminishing returns” in their pursuit of optimization benefits using conventional business models. To reach the next horizon of value, these assets must undergo digital process re-engineering, digital re-organization and digital business transformation. In many cases, the entire operations management system needs to be re-written and re-implemented. The first step in transitioning to a new operating model involves defining the end-state and achieving a step-wise approach toward it. That end state might be a centralized optimization center, remote integrated operations center, minimal manning facility, or a fully automated facility. The internal rate of return (IRR) associated with the transition to remote operations depends on the extent to which operating cost savings can be traded for capital investment. Through various case studies, this session will explore the key considerations in making a successful transition and the important factors driving IRR variability and operational risk.
Shift team effectiveness: Don't bother if you can't change "shop floor" shift...Yokogawa1
Overall shift team effectiveness is critical, but especially shift handover activities. Shift teams are at the point of manufacture and hold the keys to plant and equipment safety, reliability, production and product quality, as well as operational discipline. Shift handovers take just 5% of operational time, but account for around 40% of plant incidents. So if you want your digital transformation (DX) initiatives to succeed, you need to think like an operator–to empathize and gain credibility with those on the shop floor–and to translate the DX agenda into their language. Only through this can a true changing of ways occur. This session will showcase a proven shift team effectiveness model comprising four key areas and sub-components–organizational capability, work environment, information and technology, and operating practices–and how they all need to work in tandem with each other. A case study will demonstrate how these areas should be leveraged to ensure safety, reliability and production information effortlessly flow in, and out, of the shift team to the various support departments.
Adversity Drives Innovation and Enterprise Resilience to Best Leverage a Hist...Yokogawa1
In most plants, process data is generated by various OT systems such as the DCS or SCADA, blending systems, dosing systems, fault detection systems, smart instruments, etc. Enterprise process historians should be the system of record for all operating data and should support achieving a ‘single source of truth’ for the plant. The desire to have a single source of truth for all data types that can be consumed in decision making and execution is driving IT/OT convergence. How enterprise process historians are leveraged, both on-site and remotely, is crucial for business continuity and advancement toward increasingly autonomous operations. This presentation will showcase how new processes and techniques around remote monitoring, data extraction and advanced analytics enabled Kuraray to maintain situational awareness and visibility into key plant operations whilst social distancing during COVID-19.
Improved Upstream Production Efficiency with Remote Optimization Centers, Fie...Yokogawa1
To climb down the cost curve, upstream companies need to fundamentally change how they operate – technology, people and processes. The industry has reached close to the maximum threshold on the number of individual point solution applications (and associated processes and siloed departments) that are in use today. To remain relevant and thrive, upstream companies must firstly buy time, then digitalize and lastly, position more effectively for the energy transition. This means taking a “systems thinking” approach that focuses on the way that a production system’s constituent parts interrelate, how they work over time and within the context of larger systems. This presentation will outline the role of field-wide models, which when operationalized with real-time data, result in a digital twin that is highly effective in achieving production system optimization. These models when run in the Cloud, then enable the remote optimization center and generate synthetic data able to train AI algorithms for machine learning with limitless potential.
Transforming Decision Making in Scheduling of Terminal OperationsYokogawa1
Terminals are mission critical assets for effecting mass transfers, exploiting arbitrage opportunities, blending, mopping up errors and inaccuracies in supply chain planning, amongst others, across the hydrocarbon processing value chain. Effective scheduling of terminal operations is required to handle timing, sizing, allocation and sequencing decisions involved in connecting the "ideal" (production plan) to the "real-world" (the operation), with its various subtleties, nuances and non-linearities. Complex decision-making is required to make money. It involves the development of a detailed (executable) plan that is able to implement the operations strategy from the planning process, running the asset(s) up against physical and logistical constraints. As a result, schedulers must deal with a large number of inter-related alternatives with high implications in business performance. Wrong moves in the decision chain can set the execution path towards costly disruptions. Only through combinatorial optimization algorithms can this complexity be simplified. This presentation will show how these algorithms can be incorporated into practical business applications and made available to extend the capabilities of scheduling personnel way beyond what can be achieved with current methods. The value captured and how it is achieved will be demonstrated using actual applications in LNG Regasification, Crude Oil Supply and Primary Distribution operations.
Contributing to the Development and Application of Cybersecurity StandardsYokogawa1
As security threats evolve and adapt, so too must organizations’ responses to them. The development and application of cybersecurity standards in support of current and new generation industrial automation and control systems (IACS) are of fundamental importance. This presentation will provide practical and useful information on how cybersecurity standards are progressing and how they are applied. The initial focus will be on current activities in the development of the IEC 62443 IACS cybersecurity standards, and implications to the various stakeholders. An illustration will describe how to use the standards to frame the development of secure-by-design products and services, both current and future. Thereafter, the focus will shift to how IEC 62443 standards are used by other industry standards and securing IIoT and associated cloud systems. This is of particular importance in the context of the Open Process Automation Standard (O-PAS).
After fully exploiting digital computing technology to enable safe and efficient operation since the 1970s, the tank farm and terminal industry is in the midst of a major step change as organizations apply advanced analytics, artificial intelligence and machine learning to the massive operational data they have collected. Applications of digital transformation technologies are ultimately leading to the autonomous terminal. An autonomous terminal possesses comprehensive knowledge of its capabilities and limitations; it works with operators to provide maximum operational safety and efficiency. To realize the autonomous terminal, digital transformation is inevitable and includes fully digitalized execution, digitalized information exchange with all internal and external stakeholders, digitalized asset optimization and fully automated operations. Participants in this session will learn how to realize broad-based benefits and how operations should continuously improve in a sustainable manner.
The Core Enterprise Infrastructure Vision for Delivering DX Value at ScaleYokogawa1
DX value delivery at scale requires high quality data to be accessible to the users and systems that rely on it. This means critical measurement, control, optimization, communications and storage infrastructure needs to be in place, designed with adequate capacity and secured against mis-use and bad actors. To achieve this there is an array of inter-related considerations needed across physical infrastructure, security, privacy and confidentiality, software infrastructure and cloud infrastructure. This keynote presentation will focus on the ideal L1-L5 integrated technology vision to underpin and deliver optimum operability and competitiveness in process facilities. This includes, among others, field asset lifecycle activities, capital project execution, control room operations and alarm management, legacy system upgrade / progressive compatibility, field operations, maintenance and virtualization, process / energy / combustion optimization, alarm management, collaborative information availability, remote operations and maintenance, advanced analytics, cloud solutions and cybersecurity/IT services.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
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.
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.
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
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
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.
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.
Securing your Kubernetes cluster_ a step-by-step guide to success !
Real-time Data, Site wide Digital Twin, and Proprietary Analytics Cuts into Process Facility Cost and Carbon Emission
1. Sharon Zhou
Business Operations Head, Digital Energy Management
November 12, 2020
Real-time Data, Site wide Digital
Twin, and Proprietary Analytics
Cuts into Process Facility Cost
and Carbon Emission
2. Agenda
1. Enterprise-wide energy
consumption and carbon
emissions
2. Decarbonization common
challenges in our industry
3. Overcoming the challenges
with Digital Energy
Management Solution
4. Challenge: Major impact from production and
manufacturing facilities
R & D,
ENGINEERING
LOGISTICS &
SUPPLY CHAIN
FINANCEHR
MARKETING,
SALES, SERVICE
DIGITAL
TRANSFORMATION
VERY HIGH ENERGY
CONSUMPTION &
CARBON INTENSITY
High
variable
cost
PRODUCTION & MANUFACTURING
5. Decarbonization: How much to spend and remain
competitive?
x
0 50 100 150 200 250 300
TotalCapex$$MM
What are the limits
and how fast?
Where to spend it?
by site
by unit
by type
Reducing absolute
energy consumption is
the first essential step
CO2
Reduction
6. Digital system enables faster and deeper savings
• Faster and deeper Saving
• Sustained Results
• Increased Visibility
• Ability to prioritize
• Single version of truth
Digital system is representative of physical
assets and provides consistent, reliable
and actionable information that enables
faster and deeper saving
Repeatable
Results
People
Physical
Assets
Digital
Systems
Practices
The Value
• Meeting target and sustain
performance
• Data Inaccuracy,
Incoherence, Inconsistency,
Invisibility
• Lack of visibility – Local
Incentives and Priorities
• The Human Factor
The Challenge
7. Managed performance
Operational
Design
Management
Focus
Required
Enablers
Supporting
Infrastructure
Targeted
Outcomes
Focus on basics
VULNERABLE
Business process
Process integration
STRUCTURED
Performance
optimization
DISCIPLINED
INNOVATIVE
Avoid Degradation Energy Quick Wins
Consistent Operational
effectiveness
Continuous
improvement
Agility
Built baseline Developed bench strength ISO 50001
Capability
resilience
Capability
generation & Risk
management
Orphaned tools Point solutions
Digital Twin based
Energy Management &
info System
EMIS integrated with
business systems
Industry 4.0
Compliance
Loss minimization Positive cash flow
Repeatably Extract
Maximum Performance
Deliver on Strategic
Reduction Target
Create Value via Energy
Transition
ACCEPTING
Bottom 25% Top 1%Increasing Maturity
OpX maturity influences energy management approach
Move toward structured energy management approach with focus on
consistent operational effectiveness
8. Visualize Analyse Realize
Better decisions faster
ENvision ENalyse ENact
Long Term
Months
Weeks
Days
Hours
Minutes
Seconds
Major Investments,
organisational governance
Minor Capital Improvements
Maintenance Planning
Energy Scheduling,
Accounting, Troubleshooting
Open Loop
Real Time Optimization
Closed Loop
Real Time Optimization
Process Control
D-EMS: The single version of the truth from
decision making through to frontline execution
9. • Top Level KPIs
• Granular energy gap, site to unit to equipment
• BT* Terms, $$ Terms
• Built from robust data-models that allow roll-up
• Automated Reports for regulatory and other purposes
Real-Time Monitoring and Benchmarking System
ENVISION
10. • Real-Time actionable Items driving
operator actions:
• Automated Demand side
Opportunity evaluation
• Utility RTO
• Heat Exchanger performance
• Seamless integration between
Petro-SIM and Visual MESA
ERTO
• Capital Project evaluation
• Up to date Economics with
carbon reduction at point of
implementation
Automatic Opportunity Generation and Evaluation
ENALYZE
11. • Real-time tracking of opportunity
economics, progress and efficacy
• Manage actions, report progress,
gain a perspective on potential to hit
goals
• Close-loop optimisation and
automation to further reduce human
reliance via:
• APC
• Procedure/workflow automation
• Process unit real time optimisation
• Combustion control and
optimisation
Implementation Management System
ENACT
12. Digital Twin connects structured data to repeatable action,
reinforcing the whole energy management system
• Validated and reconciled data
for tools and applications
Data Validation
and Reconciliation
First Principle
and Data
Analytics
Performance
Visualization and
Integration
Opportunities
Prioritization
Assisted
Human Action
Automated
Execution
DIGITAL
TWIN
• Multi-inferential calculations of
non-measured parameters
• Real time optimisation to drive
front line actions
• Close loop automation
• Automated real time carbon roadmap
13. Case Study – IOC Worldwide Oil & Gas Downstream
• Client looking to implement an Energy and
Carbon Portfolio Management System:
• Need to drive a consistent approach, improve
performance visibility, facilitate centralized
management, and reduce effort and resources
to achieve and sustain performance
improvement
• Enable Subject Matter Experts (SMEs) to
systematically and rigorously drive energy cost
and carbon reduction across their refining
portfolio
• Present current performance and gaps relative
to a benchmark to stakeholders in real time
• Provide insight beyond low hanging fruit (largely
already captured) into capex spend (project)
requirements
• Facilitate effective deployment of capital across
fleet of refineries to achieve corporate energy
and sustainability goals
CLIENT CHALLENGE
• D-EMS ENvision/ENalyse
• Digital twin of two process units in two separate
refineries
• 3-month schedule
• With corporate and site teams
SOLUTION (PILOT PHASE)
• Current performance gap breakdown: Granular
energy gaps, unit, systems & equipment
• Opportunity identification and prioritization:
Automated benefits calculation in real time
• Compare gaps in specific items of equipment across
both refineries
BENEFIT
• US$100m per year sustained cost reduction
• saving of 1.0 MM tonne per year of CO2
ANTICIPATED ROLL OUT BENEFIT
14. Improvement Areas Typical Delivered Value
Minimizing energy demands, while
meeting process requirements
3-5% of site energy cost
Eliminating production constraints
due to energy systems
2-3% increase in production on key
units
Drive energy capital investments
through implementation
10-15% of site energy cost
Reduce the cost of power and
steam in real time
2-5% of site energy cost
Optimizing cleaning costs and
minimizing energy loss due to
fouling
1-2% of site energy cost
Reduce carbon emissions overall
and save carbon tax
10-15% CO2
reduction
Unique technologies and digitalization of IP delivering
step change in energy management and decarbonization
Energy CO2
Supply
Re-Use
Heat Recovery
Demand
Process Units
Utilities System
15. The names of corporations, organizations, products and logos herein are either registered trademarks or
trademarks of Yokogawa Electric Corporation and their respective holders.
Thank you!
Start leveraging Digital Energy Management
Solution to effectively achieve your
decarbonization goals !
