Even a 1–2 %
Optimization of Wind-; & PV-Assets
can unlock six-figure
revenues.

Download the free whitepaper now and
uncover the optimization potential of your
renewable energy portfolio today.

Urgent need for action for
Operations Managers due to growing
renewable energy portfolios

In times of frequent zero and negative prices, rapidly growing renewable energy portfolios, and tight O&M margins, data-driven operations management determines the contribution margin. Small efficiency levers, shorter downtimes, and smarter maintenance windows scale directly across MW portfolios into measurable cash flows for wind, PV, and BESS.

The result is lower imbalance costs, higher capture prices, and more stable operation.

By 2030, we can expect the following in the EU:

+80%

planned expansion of renewable energy plants

In Europe, approximately 70–80% more renewable electricity generation capacity will be connected to the grid than in 2023/24. IEA forecasts predict that Europe will have >1.5 TW of cumulative renewable energy capacity by 2030 (compared to ~0.9 TW today).

+200%

increasing complexity

There are many more scattered installations instead of fewer large power plants, which makes planning, control and troubleshooting significantly more complex (+40–80%). Because wind and sun fluctuate more, plant availability (technical & commercial), forecasts and control must run much more efficiently and reliably.

+30%

impending cost loss

Asset Performance Management (APM) is more than just the presentation of asset parameters; it provides an essential overview of the health of your entire diversified portfolio (wind, PV, BESS), enabling you to effectively manage and operate your assets. Ignoring APM can result in cost losses of up to 30% by 2030.

How do you maintain control over your renewable Asset Portfolio and sustainably increase asset availability?

With IBM Maximo Renewables, you can monitor your solar, wind and energy storage (BESS) systems in near real time and get the most out of your energy generation and technical availability.

Not only do you keep track of the performance of your systems, but you also identify the causes of performance losses early on and receive specific recommendations (Recommendation Engine) to optimize and increase yield in a targeted manner.

State-of-the-art data-driven operations management through:

Monitor

shows

Portfolio- & Map views with live status
Prioritized Alarm- & Plantlist
ESG & technical runtime KPIs
Custom alerts with escalations and notifications

Analyze

delivers

PV: Loss buckling (14 pre-categorized loss classes), String analytics with weather correction, drone thermography
Wind: Power curve benchmarking (IEC 61400-12), diagnostics (Yaw, pitch, sensors, rotor, generator, gearbox), Availability/GADS reporting
BESS: Vulnerability module detection, automatic cycle detection for deployment/warranty decisions

Operate

optimizes

Automatic work orders from alarms
PM/CM Scheduler, Inventory & EHS management
Mobile processing
Connection to MAS Manage
Risk scores for curtailment/redispatch
BESS optimization & KPI reporting

Maximo Renewables is the leading all-in-one APM solution

Monitor plant performance and condition in near real time

Monitor and analyze the performance of your renewable energy plants – simply, precisely and centrally.

Automatically capture up to 75% of all machine and manual data via common industry protocols, regardless of equipment type or manufacturer. This data is visualized on customizable dashboards and transformed into actionable insights.

Thanks to plant-specific methods for data collection and cleansing, you receive a transparent, consolidated overview of your entire portfolio and can specifically monitor and optimize your most important KPIs.

Identify the root causes of efficiency losses based on AI recommendations (Recommendation Engine)

Utilize AI-powered analytics and drone thermography for the structured collection of plant data. Employ pre-trained data science models to precisely identify the root causes of underperformance. A fully-fledged CMMS (Computerized Maintenance Management System) helps you derive optimal maintenance strategies and, based on your operational data, make informed decisions about which manufacturers and models will prove to be particularly reliable in the long term.

Plan and manage maintenance work

Leverage insights from plant analysis to proactively plan and monitor operations, ensuring smooth and efficient processes. Optimize key tasks such as work orders, maintenance planning, and inventory management to achieve better results and reduce downtime.

Matthias Gerstl

Project
Implementation Manager

Maximo Renewables &
Maximo Application Suite certified

Sophia Weis

Project
Implementation Manager

Maximo Renewables &
Maximo Application Suite certified

Herbert Steinmetz

Renewables
Solution Architect

IREB CPRE Requirements
Engineering & ITIL certified

Leon Vizi

Renewables Support
Specialist

IREB CPRE Requirements
Engineering & ISTQB certified

Whitepaper Access

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See Maximo Renewables in action and get answers to your questions.

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1) Will I incur any costs as the plant operator in a pilot project?

Yes, there are costs that depend on the effort involved. We estimate the costs of the pilot project based on your defined success criteria. The pilot project and its success criteria should be chosen so that it can be implemented within a core duration of 6 weeks. The pilot project will allow you to determine whether Maximo Renewables is the right strategic decision for your operations.

2) Why is the duration of the pilot project limited to 6 weeks?

The six-week period begins when the selected systems are connected to IBM Maximo Renewables and transmit data. Six weeks represents a realistic timeframe to implement the three jointly defined success criteria.

3) How are the selected renewable energy plants (wind, PV, BSS) connected to Maximo Renewables?

To ensure the efficient onboarding of the selected renewable energy systems, we have prepared pre-defined questions. Maximo Renewables supports all common manufacturers of wind, PV, and BESS systems. For optimal data quality, it is recommended to connect Maximo Renewables as close to the machine as possible, for example, via OPC, Modbus, FTP, or API interfaces from the OEM portal.

4) From what size EE portfolio does the use of Maximo Renewables become worthwhile?

The use of Maximo Renewables is economically viable from a plant capacity of approximately 50 MW, especially for portfolios with mixed domains such as wind, PV and BESS.

5) Is it possible to run Maximo Renewables on-premise? ...

We understand that you want to retain control and sovereignty over your operations. Maximo Renewables is designed as a Software-as-a-Service (SaaS) and primarily deployed as a cloud solution. As a SaaS product, IBM takes over the operation of the infrastructure, including hardware, configuration, updates, and maintenance, for you without any additional effort. We would be happy to advise you on the options available for securely storing your plant data on-premises.

6) How secure is my data in Maximo Renewables?

The security of your data is our highest priority at IBM Maximo Renewables. As a cloud-based Software-as-a-Service solution, IBM Maximo Renewables meets the highest security and compliance standards. These include, among other things, modern encryption methods, role-based access concepts, and regular security updates and audits. Your data is processed and stored in professionally operated data centers that comply with international security and data protection standards. You retain full control over your data at all times and define who has access to which information. We would be happy to explain the security mechanisms and compliance measures used in detail and answer any individual questions you may have about data protection and data security.

+3–7%

improved plant performance

-20%

Reduction of operating costs

-75%

Reducing the time required for reporting

<12 Month

positive return of investment (ROI)

Company Management & Development of Renewable Energy Plants

Implementation of the comprehensive monitoring and analytics solution “Maximo Renewables” for a North American-based renewable energy asset management and development company – for improved control and optimization of the renewable energy portfolio and to further strengthen efficient operations in asset and power generation.

30% Reduced reporting effort through the seamless integration of Power BI with the IBM Maximo Renewables data warehouse.
1500MW Solar and wind power plants are managed and monitored with Maximo Renewables – with five turbine OEMs (Vestas, GE, Siemens Gamesa, Goldwind …) and several data acquisition frameworks.
Daten Zentralisierung Integration of numerous data sources and OEM systems – including databases, Modbus, OPC, etc. – across locations and countries.

Battery Energy Storage System (BESS) Operator

Providing an industry-first solution for data acquisition and energy analytics to a leading energy storage OEM. By implementing Maximo Renewables' advanced data acquisition system and comprehensive analytics platform, the customer's team is now significantly better positioned to drive product innovation.

1-second data granularity Maximo Renewables' solution captures data every second, stores it locally and in the cloud, thus optimizing remote access to measurement and operational data.
>300.000 Datenpunkte Sekunden Latenz für sofortige Reaktionen und schnelle Entscheidungen.
1,3% Increased energy production and reduced maintenance costs through the implementation of an algorithm for identifying underperforming modules.

25 MW PV park operator

For a 25 MW project in the Gujarat Solar Park, comprising over 105,000 solar modules and 45 inverters, yields were 3–8% below the expected target values. To increase electricity production, Maximo Renewables was implemented: using data science models, plant data was collected and the causes of the underperformance were specifically identified.

+8,6% Increased yield from PV systems within 6 months, which led to an increased revenue of +431,000 USD.
-25% Reduction of controllable losses – e.g. through optimized cleaning cycles and minimization of systemic losses.
100+ Strings were identified for IV curve testing based on the underperformance detected in peer comparisons. Over 70 modules were identified as damaged, resulting in power losses at both the string and inverter levels.

The only solution that Asset Lifecycle Management offers for renewable energies

Complete portfolio transparency on a single platform. Unified view of performance, reliability, work orders, and investment planning for wind, solar, and battery storage systems.

Near real-time detection down to the component level

Detect and diagnose faults in solar strings, trackers, turbines, and battery storage systems down to the module or component level to enable faster recovery and targeted maintenance.

Automated, precise loss categorization

Standardized methods with immediate categorization of the causes of underperformance for precise reporting on ROI and reliability.

Rapid onboarding at a supply scale

Self-service integration for FTP, API, Modbus and OPC data feeds, which has proven successful in connecting over 400 systems in less than a quarter with a commissioning time of 3 weeks.

Industry-specific data quality checks

Integrated governance rules and automated correction workflows prevent data gaps and ensure trustworthy analytics across heterogeneous OEM fleets.

Intelligent recommendation engine

AI models trained on performance data from renewable energy plants provide prescriptive recommendations and insights into losses.

Automated creation and distribution of reports

IBM Maximo Renewables structures your asset data, enabling you to analyze reports with your preferred BI tool (e.g., MS Power BI, IBM Cognos Analytics). We support you with seamless integration and present all available analysis options to automatically generate and distribute customized reports to your target audiences.

Automated overview using drone thermography

With a fully automated drone deck, you can regularly inspect your PV modules using thermographic imaging. The images are imported into IBM Maximo Renewables, categorized in a structured manner (e.g., hotspots, shading, diode faults), and maintenance orders are created directly, ensuring efficient maintenance of your PV portfolio.

Automatically detect and identify underperforming wind turbines.