Reducing Unplanned Downtime at Renewable Energy Industry: 5 Operational Lessons from Maas Energy Works

Maas Energy Works' experience highlights five essential lessons for scaling biogas operations, emphasizing the importance of empowering field teams, standardizing procedures, leveraging work history, forecasting parts, and maintaining a single source of truth for sustainable expansion.

Key Highlights

  • Engage field technicians and operators early, leveraging mobile platforms for real-time observations to catch issues before outages occur.
  • Standardize maintenance routines across sites to create repeatable workflows, facilitating faster onboarding and consistent quality.
  • Use historical work order data to identify recurring issues, enabling proactive maintenance and informing engineering improvements.
  • Forecast spare parts inventory weekly to prevent unplanned downtime, reduce costs, and improve team morale.
  • Consolidate compliance, maintenance, and operational records into a single system to enhance transparency, streamline audits, and support scalable growth.

Renewable energy companies tend to measure growth in megawatts generated, gas emission reduction and financial impact to their customers.

Fewer measure it by what determines whether any of it pays off: How reliably existing assets are running? Taking biogas processing as a reference, as portfolios spread across more locations, regions and partners, operational complexity becomes the quieter constraint on growth. Every new site adds equipment to track, standards and regulations to adhere and maintain, and records to produce on demand.

The experiences of Maas Energy Works offer a useful lens. The company develops, owns and operates biogas projects across four states and more than 60 farms. It manages more than 2,500 assets and 25,000 work orders through MaintainX. Its experience points to five lessons for operators building the foundation to scale.

Start with the people closest to the equipment

Even if you have condition monitoring in place, technicians and operators are the first to notice a changed sound, a slow reading, a change in performance that was not expected, or a seal that looks wrong. Whether that knowledge reaches decision makers depends on how easy it is to capture. Maas chose its platform largely for mobile access, because field crews were unlikely to return to a desk to log their work. Its trucking, plant and engine teams now operate across three time zones, coordinated from one remote office.

Operations Compliance Manager Julie Lisea notes that "distance creates distortion" when teams are remote. For operators of critical assets, consistent field observations work as an early-warning system, making it possible to act before a minor issue becomes an outage.

Standardize before you scale

Maas began with daily checks and gradually added weekly, monthly, quarterly and bi-annual procedures aligned with industry practice. When it onboards a customer site, the team builds a dedicated organization in the platform and translates that site's needs into the same cadence of recurring work. The result is a repeatable template rather than a new set of habits for every location. It also gives a remote team a way to show a new site's crew what their workflow will look like from the start. This reference of “what good looks like” is gold for a new team that is joining the current process. They can easily self-evaluate if their current practices are meeting the standard, accelerating the onboarding process, and shortening the learning curve.

Let work-order history support the diagnosing

A single work order records a problem and thousands of them reveal patterns. Maas uses reporting to track work orders and incident history. It shares a report of any incident work order and feeds findings back into project development to inform future designs. Treating history this way shifts maintenance from closing tickets to learning from them. Additionally, how data is captured is just as important as the data itself, making the standardized processes outlined above even more valuable for identifying recurring maintenance issues. Recurring failures stop being isolated repairs and become inputs to engineering decisions. Maas's CEO had wanted this feedback loop for years. 

Forecast parts before they become the bottleneck

Lisea describes the stakes plainly: "We lose our project owners serious money when we have any unplanned downtime." When it comes to breakdowns, lack of resources impact results but also team morale. Long lead times on spare parts are a common cause. Maas tracks more than 1,300 parts and runs a weekly report that reconciles inventory across four states in about 20 minutes, so shortages surface sooner and orders go out earlier. Before, parts tracking depended on separate spreadsheets and the instincts of people on site. The same records, including cost, order date, and location, also support financial audits.

Build a single source of truth

Maas operates under county permitting standards and air and water district requirements, and it must be able to demonstrate compliance on request. Before consolidating, assembling historical records for audits meant pulling information from multiple sources, often urgently.

Today, maintenance, parts, compliance, gas quality and a 37-vehicle fleet are tracked in one place. Visibility and transparency creates trust with customers and internal teams. Knowing that you can find the information you need in a single place helps the field teams to see their findings being tracked and surfaced to leadership to allow improvements and decisions to be made faster.

Scaling on stable ground

Maas's Systems Project Coordinator Ellis Jenné reports that since adoption, no networking equipment has gone down because of anything preventable, though he says the improvement is hard to quantify. That openness is valuable, because it is true. This is one of the biggest challenges for Asset Management improvement projects: the value of operational infrastructure shows up in what does not happen. The outage avoided, the audit answered without scrambling, the new project started up without strain. 

For renewable operators, the question is not whether complexity will grow, but whether the people and systems managing it are ready. And that is where those five lessons help to understand what is needed to ensure predictable and stable operations.

About the Author

Geraldo Signorini

Geraldo Signorini is Principal Industry Manager, MaintainX an Autodesk Company

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