Download PDF
Optimizing Hydroelectric Power Station Design with IoT: A Case Study of e3k and FLUENT Software
Technology Category
- Sensors - Flow Meters
- Sensors - Liquid Detection Sensors
Applicable Industries
- Aerospace
- Mining
Applicable Functions
- Product Research & Development
The Challenge
e3k, an Australian mechanical engineering consultancy, was tasked with optimizing the efficiency of a multi-nozzle Pelton wheel hydroelectric power station design. The challenge lay in the intricate examination of the branching distributor manifold, the nozzle design, and the rotating runner to extract maximum useful energy from the known head and flow conditions. The dynamic interaction between water jets and the runner created a particularly complex unsteady, multiphase flow field. This complexity made it difficult to identify areas for improvement and to understand the effects of potential design changes.
About The Customer
e3k is a leading Australian mechanical engineering consultancy that specializes in the research and development of new technologies in various sectors including energy, manufacturing, transportation, defense, aerospace, and mining. The company uses a combination of engineering experience and sophisticated modeling tools such as CFD and FEA to design and optimize advanced technologies. e3k provides a range of engineering services including early-stage conceptual design, detailed engineering modeling and analysis, prototype design, construction and testing, and failure analysis.
The Solution
e3k employed FLUENT software to quantify and visualize the effects of design changes as various aspects of the geometry were refined. The software was instrumental in characterizing the complex flow fields in the rotating runner, revealing areas where efficiency could be improved. FLUENT software also enabled the identification of an effect that had not been reported previously in empirical studies. This discovery could lead to further performance improvements. The software provided useful and timely feedback on how design modifications would influence the complex multiphase flow fields evident in the Pelton installation.
Operational Impact
Quantitative Benefit
Related Case Studies.
Case Study
Airbus Soars with Wearable Technology
Building an Airbus aircraft involves complex manufacturing processes consisting of thousands of moving parts. Speed and accuracy are critical to business and competitive advantage. Improvements in both would have high impact on Airbus’ bottom line. Airbus wanted to help operators reduce the complexity of assembling cabin seats and decrease the time required to complete this task.
Case Study
Aircraft Predictive Maintenance and Workflow Optimization
First, aircraft manufacturer have trouble monitoring the health of aircraft systems with health prognostics and deliver predictive maintenance insights. Second, aircraft manufacturer wants a solution that can provide an in-context advisory and align job assignments to match technician experience and expertise.
Case Study
Aerospace & Defense Case Study Airbus
For the development of its new wide-body aircraft, Airbus needed to ensure quality and consistency across all internal and external stakeholders. Airbus had many challenges including a very aggressive development schedule and the need to ramp up production quickly to satisfy their delivery commitments. The lack of communication extended design time and introduced errors that drove up costs.
Case Study
Developing Smart Tools for the Airbus Factory
Manufacturing and assembly of aircraft, which involves tens of thousands of steps that must be followed by the operators, and a single mistake in the process could cost hundreds of thousands of dollars to fix, makes the room for error very small.
Case Study
Accelerate Production for Spirit AeroSystems
The manufacture and assembly of massive fuselage assemblies and other large structures generates a river of data. In fact, the bill of materials for a single fuselage alone can be millions of rows of data. In-house production processes and testing, as well as other manufacturers and customers created data flows that overwhelmed previous processes and information systems. Spirit’s customer base had grown substantially since their 2005 divestiture from Boeing, resulting in a $41 billion backlog of orders to fill. To address this backlog, meet increased customer demands and minimize additional capital investment, the company needed a way to improve throughput in the existing operational footprint. Spirit had a requirement from customers to increase fuselage production by 30%. To accomplish this goal, Spirit needed real-time information on its value chain and workflow. However, the two terabytes of data being pulled from their SAP ECC was unmanageable and overloaded their business warehouse. It had become time-consuming and difficult to pull aggregate data, disaggregate it for the needed information and then reassemble to create a report. During the 6-8 hours it took to build a report, another work shift (they run three per day) would have already taken place, thus the report content was out-of-date before it was ever delivered. As a result, supervisors often had to rely on manual efforts to provide charts, reports and analysis.