Data acquisition all be more
complex than fixed alternatives.
MONITORING IN HARSH ENVIRONMENTS
Control and monitoring of any type of renewable energy site is complex. For fixed offshore infrastructure, this process includes collecting data on wind turbine performance, energy generation volume, equipment wear, plus the analysis of individual components. These facilities typically have several supervisory control and data acquisition (SCADA) systems in place, all communicating into one operational centre.
Floating environments bring more complexity into the equation. Strong winds, waves, currents - plus any consequential platform motion caused by the weather - can result in emergency stops, turbine instability and fatigues to equipment. These environmental changes can also have an impact on vulnerable and moving assets such as dynamic cables, mooring lines and subsea securing points. As such, the need for monitoring increases to include marine- based SCADA systems and cable monitoring systems.
As the number of monitoring systems increases, as does the challenge of obtaining a holistic view of the wind farm and its performance.
MANAGING MULTIPLE DATASETS Control and monitoring software for wind farms must be capable of pulling in even more data sets than a traditional system. Crucially, this data must be communicated in a unified way to ensure operators can view all assets at once. In an environment like this, disruption to small assets can have significant consequences. For instance, should a cable gland begin moving out of its tolerances, it could result in damage to the cable or subsea joint box, resulting in downtime and increased maintenance costs. When choosing software to monitor these facilities, integrators need to consider every single asset that needs to be monitored and select a platform that can work effectively across a range of communication protocols. Likewise, they need a software platform that is sophisticated enough to provide a holistic view of the entire site’s operations. Typically, these sites will need a much larger number of web or RDP clients due to the high
volume of
stakeholders, adding further complexity.
SCALING FOR THE FUTURE OF UK ENERGY Considering the rapid expansion of floating offshore wind in the UK, it is also vital to consider the scalability of software. The Government has ambitious goals to boost the nation’s offshore wind capacity by 25 per cent by 2030, increasing from the current 30GW to 40GW of energy - and floating offshore wind is becoming a key method of reaching this goal. As well as the creation of new wind farms, existing farms will continue to expand to achieve these goals. For those expanding, it is crucial that control and monitoring software is scalable, in order to keep up with the rapid expansion and increase in assets at these facilities.
According to the Committee on Climate Change, achieving the nation’s legally binding net zero target would require a quadrupling low-carbon electricity capacity and levels of offshore wind deployment of around 75GW by 2050. Floating wind is an crucial component for the UK to meet its these goals - and adequate software will be essential for monitoring and controlling these expansive infrastructures.
COPA-DATA
www.copadata.com
Control and monitoring software for wind farms must be capable of pulling in even more data sets than a traditional system...
‘‘ ’’
Instrumentation Monthly May 2024
35
Page 1 |
Page 2 |
Page 3 |
Page 4 |
Page 5 |
Page 6 |
Page 7 |
Page 8 |
Page 9 |
Page 10 |
Page 11 |
Page 12 |
Page 13 |
Page 14 |
Page 15 |
Page 16 |
Page 17 |
Page 18 |
Page 19 |
Page 20 |
Page 21 |
Page 22 |
Page 23 |
Page 24 |
Page 25 |
Page 26 |
Page 27 |
Page 28 |
Page 29 |
Page 30 |
Page 31 |
Page 32 |
Page 33 |
Page 34 |
Page 35 |
Page 36 |
Page 37 |
Page 38 |
Page 39 |
Page 40 |
Page 41 |
Page 42 |
Page 43 |
Page 44 |
Page 45 |
Page 46 |
Page 47 |
Page 48 |
Page 49 |
Page 50 |
Page 51 |
Page 52 |
Page 53 |
Page 54 |
Page 55 |
Page 56 |
Page 57 |
Page 58 |
Page 59 |
Page 60 |
Page 61 |
Page 62 |
Page 63 |
Page 64 |
Page 65 |
Page 66 |
Page 67 |
Page 68 |
Page 69 |
Page 70 |
Page 71 |
Page 72 |
Page 73 |
Page 74 |
Page 75 |
Page 76 |
Page 77 |
Page 78 |
Page 79 |
Page 80 |
Page 81 |
Page 82 |
Page 83 |
Page 84