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IIC - Smart Energy Management Testbed

Energy costs continue to increase globally, driven by the depletion of fossil fuels, geopolitical instability and disruptions in the global supply chain. At the same time, organizations are constantly thriving to reduce overheads and minimize the cost of the operations. Current challenges include lack of instrumentation to get the energy consumption details and lack of tools to visualize and analyze the energy consumption patterns. This hinders stakeholders from taking any meaningful action to optimize energy consumption and reduce the overall energy cost. GOALS • Develop an ‘energy command center’ that is able to provide visibility into energy consumption across the campus • Provide various tools to compare, predict and analyze energy consumption and performance • Provide IT governance with the help of alerts, notification, workflows, ticketing and augmented reality tools to facilitate the operations

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  • SUPPLIER
  • Infosys
    Infosys is a global leader in consulting, technology, and outsourcing and next-generation services. They help enterprises transform and thrive in a changing world through strategic consulting, operational leadership, and the co-creation of breakthrough solutions, including those in mobility, sustainability, big data, and cloud computing.
  • INDUSTRIES
  • Energy
  • FUNCTIONS
  • Maintenance
  • CUSTOMER
  • CONNECTIVITY PROTOCOLS
  • SOLUTION
  • *This is an IIC testbed currently in progress.* LEAD MEMBER Infosys SUPPORTING MEMBERS PTC and Schneider Electric MARKET SEGMENT Local government, public facilities, critical infrastructure, organizations with large campuses, emerging markets SOLUTION The Smart Energy Management Testbed plans to instrument various commercial buildings and equipment to measure the electricity and provide tools to monitor, visualize, analyze and optimize energy consumption within the organization. It will also provide various IT tools such as alarms, notifications, workflows, a ticketing system and augmented reality to improve the operations. FEATURES • Monitor energy consumption by detail for all the elements – every building, every floor, every utility within the campus, every equipment, every home, every office, and every infrastructure. eg., stadium, data center, etc. • Visualize the energy consumption in a hierarchical manner (drill-down) • Showcase patterns and trends in intuitive ways • Monitor and improve energy efficiency of all the equipment • Energy optimization algorithms (managing peak demands, managing based on the tariffs) • Monitor equipment using augmented reality application TESTBED INTRODUCTION The World Economic Forum has identified ‘rising energy costs’ as the sixth highest economic risk. It is a bigger risk in Asia. Ever-increasing population, overconsumption and poor infrastructure result in increases in energy demand. Organizations need to be cognizant of this fact and ensure that they keep their energy costs in control through optimal utilization of energy. The primary of objective of the Smart Energy Management Testbed is to monitor, visualize, analyze and optimize the consumption of energy within the organization. It could be a city, large campuses of private organizations or large infrastructure utilities like airports or shopping malls. Infosys, a member of the Industrial Internet Consortium, is leading this testbed, with contributions from consortium members, PTC and Schneider Electric. The testbed will be developed from the context of the smart city initiative. It will have a platform on which additional testbeds such as lighting management, environment management, security, etc. can be developed. The first phase will cover nine commercial buildings in the Infosys Campus in Mysore, India, and chiller plants for those buildings. In the next phase, it will have additional facilities like residential buildings, a data center and the stadium.

  • DATA COLLECTED
  • Energy Consumption Rate, Energy Cost Per Unit, Energy Usage, Operating Cost, Supply Chain Optimization
  • SOLUTION TYPE
  • SOLUTION MATURITY
  • Emerging (technology has been on the market for > 2 years)
  • OPERATIONAL IMPACT
  • Impact #1
    [Cost Reduction - Operation]
    Overall energy utilization will be normalized and equipment will run optimally resulting in the reduction of operating expenses.Serviceability will have great impact due to alarms, workflows and augmented reality application.
    Impact #2
    [Efficiency Improvement - Operation]
    It will provide tools to plan the expansion of operations and to achieve sustainability objectives.
    Impact #3
  • QUANTITATIVE BENEFIT
  • Benefit #1

    The Smart Energy Management Testbed will result in 5 to 10 percent year over year reduction in energy consumption.

  • USE CASES
  • Process Control & Optimization (PCO)
    Process Control and Optimization (PCO) is the discipline of adjusting a process to maintain or optimize a specified set of parameters without violating process constraints.The PCO market is being driven by rising demand for energy efficient production processes, safety and security concerns, and the development of IoT systems that can reliably predict process deviations.Fundamentally, there are three parameters that can be adjusted to affect optimal performance:- Equipment optimizationThe first step is to verify that the existing equipment is being used to its fullest advantage by examining operating data to identify equipment bottlenecks.- Operating proceduresOperating procedures may vary widely from person-to-person or from shift-to-shift. Automation of the plant can help significantly. But automation will be of no help if the operators take control and run the plant in manual.- Control optimizationIn a typical processing plant, such as a chemical plant or oil refinery, there are hundreds or even thousands of control loops. Each control loop is responsible for controlling one part of the process, such as maintaining a temperature, level, or flow. If the control loop is not properly designed and tuned, the process runs below its optimum. The process will be more expensive to operate, and equipment will wear out prematurely. For each control loop to run optimally, identification of sensor, valve, and tuning problems is important. It has been well documented that over 35% of control loops typically have problems. The process of continuously monitoring and optimizing the entire plant is sometimes called performance supervision.
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