ESL-IE-13-05-11a The Role of Visualization Systems in Managing the Energy of Production Systems Prepared for… Session 6 May 2013 Robb Dussault, P.E.M Offer Manager, Industrial Energy Management Solutions Proceedings of the Thrity-Fifth Industrial Energy Technology Conference New Orleans, LA. May 21-24, 2013 Schneider Electric - US Industry Business – May 2013 0 Agenda 1 Facility vs. Process Energy 2 Barriers and How to Overcome 3 The Five Process Demand Functions Proceedings of the Thrity-Fifth Industrial Energy Technology Conference New Orleans, LA. May 21-24, 2013 Schneider Electric - US Industry Business – May 2013 ESL-IE-13-05-11a 1 ESL-IE-13-05-11a Energy Management in “Process” vs. “Facility” Systems Proceedings of the Thrity-Fifth Industrial Energy Technology Conference New Orleans, LA. May 21-24, 2013 Schneider Electric - US Industry Business – May 2013 2 Energy Management Initiatives Employed in US Manufacturing Facilities ESL-IE-13-05-11a Facility Process 21% of plants have performed an Energy Assessment… …and only 12%, make any impact to the process. Proceedings of the Thrity-Fifth Industrial Energy Technology Conference New Orleans, LA. May 21-24, 2013 EIA, Manufacturing Energy Consumption Survey (194,733 respondents) Schneider Electric - US Industry Business – May 2013 3 MECS Table 8.1 Number of Establishments Participating in Energy Management Activities .xls ESL-IE-13-05-11a 84% of Energy Consumed in Manufacturing is PROCESS Related *US Manufacturing Energy Consumption Survey (MECS) table 5-4, End Uses of Fuel Consumption, All Manufacturing Industries (Electricity,Fuel Gas,NGL,Coke and Proceedings of the Oil,Diesel,Natural Thrity-Fifth Industrial Energy Technology Conference NewBreeze) Orleans, LA. May 21-24, 2013 Schneider Electric - US Industry Business – May 2013 4 How PROCESS Energy Management influences Control System Integration ESL-IE-13-05-11a Energy Awareness Control System Influence Fixing the basics and understanding the opportunity in moving beyond the infrastructure for greater energy impact. Energy Optimization Continuous Improvement Automate active energy management into the process to remove energy waste at the source. Track energy data, quantify energy waste in the process and identify projects for continuous improvement. Advanced Process-Centered Rudimentary Energy Management Program Maturity Level Increased link between PROCESS optimization and ENERGY optimization More control system integration Proceedings of the Thrity-Fifth Industrial Energy Technology Conference New Orleans, LA. May 21-24, 2013 Schneider Electric - US Industry Business – May 2013 OBJECTIVE: ELEVATE MATURITY LEVEL OF YOUR FACILITIES 5 ESL-IE-13-05-11a The BARRIERS to Process Energy Management Proceedings of the Thrity-Fifth Industrial Energy Technology Conference New Orleans, LA. May 21-24, 2013 Schneider Electric - US Industry Business – May 2013 6 Active Energy Management: Jurassic Energy Management Techniques ESL-IE-13-05-11a The fastest way to save on energy, curb CO2 emissions and reduce operation cost 1 Find out what the challenge is… ActiveENERGY Energy Management ACTIVE MANAGEMENT Passive Energy Efficiency 2 3 Fix the basics Low consumption devices, insulation material, power factor correction Energy audit & metering Optimise through automation & regulation 4 Monitor, maintain, improve Focus: PROCESS Solutions in : Metering, monitoring and Industrial Automation, consulting services, EM analysis building management, software power management, lighting Proceedings of the Thrity-Fifth Industrial Energy Technology Conference New Orleans, LA. May 21-24, 2013 control Schneider Electric - US Industry Business – May 2013 7 Credit currency analogy: Christopher Russell, “Managing Energy from the Top Down” ESL-IE-13-05-11a Barrier How to Overcome ● Organizational Structures: “Facility” vs. “Process” departments ● Top-Driven initiatives centered around common Energy Performance Indicators (EnPIs) ● Production Priorities: “Production can’t be impacted” ● Educate: Process Energy Efficiency leads to Reduced Downtime and Production Optimization. ● ROI Expectations: 18-24 months ● Highlight “Energy Wasted” line item, and factor in Operational Efficiency Proceedings of the Thrity-Fifth Industrial Energy Technology Conference New Orleans, LA. May 21-24, 2013 Schneider Electric - US Industry Business – May 2013 8 ESL-IE-13-05-11a “Getting Lost” in the energy management landscape… Consider your PROCESS! Proceedings of the Thrity-Fifth Industrial Energy Technology Conference New Orleans, LA. May 21-24, 2013 Schneider Electric - US Industry Business – May 2013 9 Watch Out for “Dashboard Label” Proceedings of the Thrity-Fifth Industrial Energy Technology Conference New Orleans, LA. May 21-24, 2013 Schneider Electric - US Industry Business – May 2013 ESL-IE-13-05-11a 10 ESL-IE-13-05-11a Energy Software and Service Growth Trend ● 5x increase within this decade ● Slower growth rate at end of decade due to expansion of skillsets Proceedings of the Thrity-Fifth Industrial Energy Technology Conference New Orleans, LA. May 21-24, 2013 Energy Management Systems for Schneider Electric - US Industry Business – May 2013 4Q11, from table 5-2 Industrial Markets, Pike Research 11 ESL-IE-13-05-11a Adoption Rates This gap is driving services growth trend Proceedings of the Thrity-Fifth Industrial Energy Technology Conference New Orleans, LA. May 21-24, 2013 Schneider Electric - US Industry Business – May 2013 12 Watch out for the “Dashboard” label! ESL-IE-13-05-11a Professional Disciplines Key questions: Chief executive Energy Procurement Sustainability Officer Facility Manager Enterprise Energy Manager 1. Which level? 2. What’s the scope of information? 3. Frequency of Updates? Env Health & Safety ICEBREAKER questions: Production Manager Single or Multi-Site Operations Plant Manager IT Manager Engineering Manager Area Crew Supervisor Maintenance Mgr Control Proceedings of the Thrity-Fifth Industrial Energy Technology Conference New Orleans, LA. May 21-24, 2013 Schneider Electric - US Industry Business – May 2013 13 ESL-IE-13-05-11a The “Language” of Process Energy Efficiency: The Five Process Demand Functions Proceedings of the Thrity-Fifth Industrial Energy Technology Conference New Orleans, LA. May 21-24, 2013 Schneider Electric - US Industry Business – May 2013 14 Getting at the 86% of Energy Used in Industrials ESL-IE-13-05-11a Energy Supply Functions ● Manage Procurement ● Manage Sustainability Metrics ● Manage Energy Projects Infrastructure Demand Functions ● Power Factor Correction ● Speed Control in Fans/Pumps ● Boiler/HVAC Control ● Critical Power Systems ● Lighting, Meters, Etc Process Demand Functions HIGH Value, Automation-Centric ● Energy Events ● Peak Demand ● Scheduled Demand ● Idle State ● Demand Response Proceedings of the Thrity-Fifth Industrial Energy Technology Conference New Orleans, LA. May 21-24, 2013 Schneider Electric - US Industry Business – May 2013 15 Process Demand Management ESL-IE-13-05-11a The management of actions to control and reduce the usage/cost of energy within the process on a continuous basis Demand Management Functions 1. 2. 3. 4. 5. Peak Demand Management Minimizing peak demand which triggers higher rates Scheduled Demand Management Minimizing costs by shifting demand to low cost time periods Idle State Management Minimizing energy draw during idle process conditions Demand/Response Management Offering energy capacity back to grid per request in exchange for incentives Energy Event Management Detection and Analysis of process changes that cause consumption to exceed forecast Technologies Used…a combination of: MES, SCADA, EMIS, Modeling, Meters, Process Automation, etc Proceedings of the Thrity-Fifth Industrial Energy Technology Conference New Orleans, LA. May 21-24, 2013 Schneider Electric - US Industry Business – May 2013 16 Peak Demand Management ESL-IE-13-05-11a Minimizing peak demand which triggers higher rates Peak Demand: ● Occurs when process events or operator actions align to create a peak in demand ● The higher the peak in a billing period, the higher the energy rate structure ● Typical at start-up of major equipment, line changes, shift changes, etc ● Dependent on HVAC and other loads What can be done? ● Monitor/document sources of peak ● Automate the start-up sequence of equipment ● Augment with alternate supplies (“peak shaving”) ● Establish near-peak alarms Proceedings of the Thrity-Fifth Industrial Energy Technology Conference New Orleans, LA. May 21-24, 2013 Schneider Electric - US Industry Business – May 2013 17 Scheduled Demand Management ESL-IE-13-05-11a Minimizing costs by shifting demand to a low cost time periods Due to energy generation limitations, it can be more cost-effective to run processes at lower energy cost “tariff” periods What can be done? ● Analyse amount of energy per product ● Optimize production rate according to energy cost ● Coordinate production schedule based on expected production output Proceedings of the Thrity-Fifth Industrial Energy Technology Conference New Orleans, LA. May 21-24, 2013 Schneider Electric - US Industry Business – May 2013 18 Idle State Management ESL-IE-13-05-11a Minimizing energy draw during idle process conditions During process idle time, placing your plant in one of several predefined “wait” states enables the reduction of energy demand and unnecessary wear on equipment What can be done? ● Analyse and define ideal idle states for all production equipment ● Trigger idle states according to upstream, downstream process conditions ● Schedule idle states based maintenance and production demands Proceedings of the Thrity-Fifth Industrial Energy Technology Conference New Orleans, LA. May 21-24, 2013 Schneider Electric - US Industry Business – May 2013 19 Demand/Response Management ESL-IE-13-05-11a Offering energy capacity back to grid per request in exchange for incentives Utilities and intermediaries often provide incentives for industrial customers if they are allowed to trigger demand reductions on a temporary basis What can be done ● Define multiple levels of demand based on per-unit energy costs, process speed or other process conditions ● Aggregate energy stored throughout the process (heaters, oxygenators, mixers, tank levels, mechanical momentum, etc) ● Automate process response to requests when appropriate ● Negotiate beneficial contracts with energy supply chain Proceedings of the Thrity-Fifth Industrial Energy Technology Conference New Orleans, LA. May 21-24, 2013 Schneider Electric - US Industry Business – May 2013 20 Sources of Energy Stored within Industrial facilities and processes ESL-IE-13-05-11a Tolerances converted to kW Proceedings of the Thrity-Fifth Industrial Energy Technology Conference New Orleans, LA. May 21-24, 2013 Schneider Electric - US Industry Business – May 2013 21 Credit Graphics: Enbala” Energy Event Management ESL-IE-13-05-11a Detection and Analysis of process changes that cause consumption to exceed forecast Managing instances where actual energy exceeds predicted energy enables continuous improvements to energy and process optimization. What can be done ● Build an energy model to predict demand based on process conditions ● Model is automatically and continuously refined for greater accuracy ● Generate analysis tools to readily identify the process conditions which generate the most frequent or most significant energy events ● Provide alerts and alarms to operators, maintenance and energy management personnel to guide responses to events Proceedings of the Thrity-Fifth Industrial Energy Technology Conference New Orleans, LA. May 21-24, 2013 Schneider Electric - US Industry Business – May 2013 22 Agenda ESL-IE-13-05-11a Facility vs. Process Energy Barriers and How to Overcome The Five Process Demand Functions Proceedings of the Thrity-Fifth Industrial Energy Technology Conference New Orleans, LA. May 21-24, 2013 Schneider Electric - US Industry Business – May 2013 23