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Schedule Management in the Austrian Energy Market

Due to the growing volume of customers and data, Salzburg AG needed a solution to promptly and correctly manage the processing of energy transactions in multiple markets using schedules. Requirements included: flexible adaptation of interfaces to enable Salzburg AG to respond to market conditions quickly, automatic processing of energy transactions, and integration of different regional rules for the exchange of schedules.

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  • SUPPLIER
  • Bosch
    Bosch is an industry leader in automobile and industrial equipment, as well as consumer goods and building systems. Bosch operates via 440 subsidiaries in 60 countries; its core lines include mobility (auto) systems, from diesel/hybrid drive to steering, starter motors and generators, electronics, and brakes.Year founded: 1886Revenue: $58.7 billion (2014)Portfolio Companies:- Bosch Software Innovations- Rexroth- Deepfield Robotics- Escrypt- ProSyst 
  • INDUSTRIES
  • Energy
  • FUNCTIONS
  • Quality Assurance
  • CONNECTIVITY PROTOCOLS
  • USE CASES
  • Process Control & Optimization
    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 optimization: The 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 procedures: Operating 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 optimization: In 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.
  • CUSTOMER
  • Salzburg AG is an energy and infrastructure provider with headquarters in Salzburg that supplies 260,000 customers in the state of Salzburg and in neighboring Austria.

  • SOLUTION
  • Bosch's inubit Business Process Management (BPM) enabled knowledge transfer through XML training and BPM crash courses. Bosch supported from project implementation and coordination through pilot project troubleshooting and performance testing and subsequent system-wide roll-out. Software Components - inubit Business Process Management (BPM)

  • DATA COLLECTED
  • Accuracy, Energy Usage
  • SOLUTION TYPE
  • SOLUTION MATURITY
  • Emerging (technology has been on the market for > 2 years)
  • OPERATIONAL IMPACT
  • Impact #1
    [Management Effectiveness - Internal Collaboration]
    Deeper integration of information across departments and business units improves internal collaboration and end-to-end customer service.
    Impact #2
    [Data Management - Data Collection]
    The inubit Business Process Management system replaced a complex interface structure with uniform, clear star architecture and interface monitoring.
    Impact #3
    [Data Management - Data Collection]
    The new solution allowed more accurate data collection at a lower total cost.
  • QUANTITATIVE BENEFIT
  • Benefit #1

    The system quickly scaled to over 500 active time series with a volume of over 50,000 individual values.

    Benefit #2

    The system processes a daily data volume of approximate 300,000 values.

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