Open Energi Case StudyDOWNLOAD CASE STUDY
To meet the requirement of its Dymanic Demand model, Open Energi initially set about building its own bespoke environment. Identifying Hortonworks Data Platform (HDP®) meant the team could focus on accelerating the transformation of the energy system rather than spending time on the underlying architecture.
By working with Hortonworks, Open Energi was able to experience the benefits of the Apache Hadoop eco-system by bringing its various elements together as one in an enterprise-ready, scalable fashion. HDP provides a single view of the electricity consumption and process information to enable swift reactions to changing conditions on the grid and identifying methods of generating extra revenue from existing assets, maximising energy savings and reducing CO2 emissions.
Open Energi also selected Hortonworks DataFlow (HDF™) to increase the speed at which information can be analyzed while improving data quality management and enrichment. HDF is solving many technical challenges for Open Energi such as when one component in the dataflow can’t keep up with the volumes it is receiving or how to prioritize which data to send at a given time.
Demonstrating the appetite for smarter energy solutions, Open Energi’s customer base has more than doubled to 50 organizations in the past 18 months. As a result of its investment in Hortonworks Connected Data Platform, Open Energi has been able to integrate a very wide variety of datasets, including sensor data, historical weather data and wholesale electricity prices, without spending a large amount of time on development and integration work. By bringing the data together, the commercial team is able to clearly evaluate the
potential value of future service offerings Open Energi may bring to market.
Using HDP, Open Energi is helping organizations gain valuable insights by analyzing real-time information based on data streamed from over 3,000 electricity consuming assets and meters around the UK. It does so by collecting, storing and analyzing sensor data more efficiently and at a far greater scale than previously possible with its bespoke approach. Open Energi has been able to achieve significant cost reductions, transparency for data governance, and improved processes.