The past few years have seen incredible growth in renewable energy installations.
CleanTechnica reported recently that, "In 2021, wind and solar power have absolutely dominated new power capacity additions, accounting for a whopping 85.9% of new US power capacity.”
In October of 2021, new wind and solar capacity was already at 22GW, with a significant prediction of installs in the end of 2021 indicating another year of extreme growth for renewable energy. CleanTechnica also stated that “large-scale solar accounted for 37.2% of new US power capacity in the first 10 months of 2021, wind power accounted for 33.2%, small-scale solar accounted for 15.5%, and fossil gas accounted for 13.7%."
In addition to the natural growth of renewable energy, President Biden has signed the $1.2 trillion Infrastructure bill into law, creating even more growth opportunities for renewable energy. This is fantastic for wind and solar operations, but can be disastrous if they aren’t prepared to efficiently handle the growth. Adding capacity just adds monitoring noise and often has engineers in reactive mode—dealing with unexpected downtime and repairs. If engineering isn’t highly efficient in how they manage assets, adding more assets requires adding more people and often results in more downtime. This means profit margins decrease as they grow.
The best way to meet the demands of capacity growth efficiently is by going beyond monitoring to intelligent automation. This article will discuss why current monitoring doesn’t scale and how intelligent automation can fix it so you can grow with confidence.
A typical daily experience for an engineer managing renewable assets is:
This is a very reactive and time consuming process that has many points of potential breakdown.
For example, did the engineer:
These inefficiencies are what add to asset downtime. Adding more assets only exacerbates these inefficiencies. If renewable operators want to effectively manage asset growth, they need to address these processes so that profitability can scale alongside capacity.
Intelligent automation is software that removes the inefficiencies from asset management—both from the standpoint of technology and people processes. Here are some of the key features of intelligent automation that specifically remove operational inefficiencies.
By automating both the human and technology of managing energy assets, the valuable time of engineers is better spent toward proactively managing potential issues—thereby reducing downtime.
The engineering productivity improvements from intelligent automation enable operators to add capacity without adding engineers. It also allows for management to more effectively reduce downtime so that profit margins stay the same or better. Here are some of the results from renewable energy operators that have invested in intelligent automation:
The outcomes from intelligent automation are different for each operator depending upon the state of their asset management. Nevertheless, all operators experience these efficiencies to a significant scale. It’s easy to see how these drastic improvements are realized when you think about the tactical outcomes of intelligent automation:
Investing in intelligent automation creates tangible value that allows operators to scale efficiently. As new installations occur, it must be a priority to optimize operational efficiency or else the inefficiencies will be magnified.
Thanks to the incredible demand of renewable energy combined with the influx of investment from the U.S. government, it is a great time to scale operations. But if you are unsure if your operations are efficient enough to scale confidently, consider asking your team the following:
If your team is answering yes to even a few of these questions, it makes sense to look further into intelligent automation. Improving efficiency helps you to scale, but the real value is in reducing downtime and improving asset performance in production. This is what really keeps profitability high—no matter how much generation you are managing.