As solar and energy storage projects scale in size and complexity, their financial performance has become as critical as their sustainability benefits. Yet, a major challenge persists: research from kWh Analytics shows that US solar installations consistently underperform by 7% to 13%. This performance gap represents a significant financial concern, as even small inefficiencies can translate into substantial losses over an asset's lifetime.
While external factors like weather contribute, a major factor remains within the control of asset owners and operators: their approach to operations and maintenance (O&M). Traditional, reactive methods are proving inadequate for modern energy portfolios. The industry is at an inflection point where digital transformation is no longer optional but essential to ensure assets deliver optimal returns.
The days of relying on spreadsheets, fragmented software, and siloed decision making are fading. A new generation of digital tools is enabling a data driven approach to asset performance. At the heart of this transformation are two key components:
Unlike traditional systems that only flag issues after they have occurred, APM enables asset managers to identify potential problems before they lead to costly downtime.
APM has emerged as the cornerstone of modern asset management, shifting operations from reactive to proactive and, ultimately, predictive. The benefits are significant and multi faceted.
For APM to deliver meaningful insights, it must be powered by accurate, high quality data. Poor data can lead to false alarms, incorrect diagnostics, and suboptimal decision making. Platforms like Prediktor PowerViewâ„¢ address this challenge by implementing rigorous data validation processes, including consistency checks, outlier detection, and intelligent data reconstruction techniques that fill in missing values. By standardizing and integrating diverse datasets, these platforms provide a reliable foundation for predictive analytics.
As solar and storage portfolios expand, the role of APM will only become more critical. The technology is evolving from a tool for fault detection into a comprehensive platform for autonomous asset management. The rise of self learning algorithms, which continuously refine their models based on new data, is paving the way for autonomous maintenance, where digital platforms not only identify issues but also recommend and even execute corrective actions. Furthermore, the integration of APM with battery energy storage systems (BESS) is a key trend, playing a vital role in optimizing charge discharge cycles, managing degradation, and maximizing revenue opportunities.
Digital integration is no longer a luxury; it's a necessity. Companies that embrace data driven decision making through a robust APM platform will not only achieve superior financial performance but also strengthen their resilience in an increasingly complex and competitive market.
Learn more about TGS's digital solutions for solar and storage: https://www.tgs.com/solar