Implementation

Trial Management

The Agile development methodology that the TSSG pursues means that the development team are in regular contact with the partners on the project and in particular with those at the trial sites. This ensures that the team are always aware of any shifting requirements and configuration changes that may happen at a live production site so that we can react efficiently to those needs. Once the platform was developed and tested to a robust enough standard and had been approved by the TSSG’s internal VnV group, a release was made available to the Milford Haven trial site. This happened on February 13th 2019 and allowed the users in Milford Haven to login and get familiar with the system. A shared document repository was created and TSSG put in place a template for recording any defects uncovered or comments made during the trial. Throughout the trial these items were assessed and if work was required to deliver solutions the issues were exported to the GitLab Rejected Defect Lifecycle Closed Initial period of a defect Decision period of a defect Validation period of a defect Closure period of a defect Everyone Development Engineers V&V Engineers Support & V&V Engineers Assigned Fixed Wait Defer Re-Assigned Verified tool as either User Stories or Bugs to be completed in an upcoming Iteration. Finally, when the issue was closed the spreadsheet in the document repository was updated with the status. In late March and early April the users in Milford Haven began using the piSCES platform fully to provide intelligent guidance on when to create ice. On August 6th 2019 the users in the Killybegs trial site were provided with login access to the Killybegs instance of the platform. Again, following close interaction over the weeks leading to the trial and after a full system test by the TSSG VnV team, agreement was reached to allow a manual trial run of piSCES. This involved the optimizer executing based on live temperature data and market data, etc. but rather than automate the settings of temperatures in the cold stores, this was done manually (via remote connectivity) by the team in TSSG based on the optimizer’s instructions. After a couple of weeks of this mode of operation and when confidence in the piSCES platform was established, a fully automated solution was released. In this phase the optimizer executed hourly based on live input data and on completion automatically adjusted the temperature set points in the Killybegs cold stores – real time energy management.

Home screen view

Milford Haven

Killybegs