Why visibility is now the bottleneck in EMEA’s solar expansion
As solar capacity expands across EMEA, the challenge is shifting from deployment to performance. Real-time visibility, accurate measurement and precise control are becoming essential to maximising output, managing storage and maintaining grid stability.
Martin Gerlag, Applications Engineer at Fluke Corporation
Across Europe, the Middle East and Africa, solar energy has evolved from a marginal source of power to a central component of national energy systems. Initially viewed mainly through the lens of decarbonisation, it now plays a crucial role in energy security, price stability, and industrial strategy.
The scale of solar deployment highlights this shift. The EU has surpassed 400 GW of installed solar capacity, adding approximately 65 GW in 2025 alone. In the Middle East, utility-scale developments such as multi-gigawatt solar parks in the UAE and Saudi Arabia are now routine, while African markets are accelerating distributed and utility-scale deployment to address an estimated 600 million people still lacking reliable electricity access.
However, the pace of expansion is exposing a structural reality within power systems. Generation capacity is scaling faster than the infrastructure needed to fully integrate, balance, and optimise it in real time. Attention is moving away from simply assessing how much solar can be deployed toward evaluating how effectively it can be controlled.
Rising system volatility
Solar generation introduces a unique operating profile to power systems. Its output varies with weather conditions, seasonal changes, and the time of day, leading to production peaks that are predictable but often misaligned with demand, particularly at midday.
These complexities are already evident in curtailment data. For example, EirGrid shows that in 2024, 16.9 per cent of potential solar generation in Northern Ireland was curtailed or dispatched down in 2024, compared with approximately five per cent in the Republic of Ireland. These figures highlight the increasing strain on system flexibility in markets with high renewable penetration. Broader system analysis from Ember reinforces this pattern: a higher share of variable renewables requires concurrent investment in grid capacity, storage infrastructure, and demand-side flexibility.
Operationally, system performance increasingly depends on accurate, real-time data. Grid balancing, battery optimisation, power quality compliance, and fault detection all depend on precise measurements. Without this accuracy, system operators are left with partial visibility into highly dynamic assets.
Always-on assets
To address these issues, the operating model for utility-scale solar power is undergoing a significant transformation. Asset performance is now influenced by continuous system behaviour rather than just periodic inspection cycles.
Modern solar farms operate as integrated systems that combine inverters, modules, cabling, transformers, and, increasingly, battery storage. Their performance depends on interactions among various factors, including thermal conditions, electrical efficiency, environmental exposure, and grid behaviour.
Research from the International Energy Agency (IEA) shows that photovoltaic (PV) systems experience different degradation and failure modes across components. Many of these issues often go undetected during routine inspections, especially when they involve partial or intermittent faults rather than complete failures.
Field studies of utility-scale PV plants reveal that losses due to total failures typically remain below one per cent of the annual yield. Inverter-related issues, though, account for a significant share of operational faults, which, depending on system configuration and monitoring capability, can lead to low single-digit percentage reductions in energy output over time.
Financial sensitivity exacerbates the impact of these performance problems. IEA PVPS modelling frameworks show that solar economics are closely linked to energy yield, as capital costs remain largely fixed while revenue directly depends on output. Small deviations in generation performance can, therefore, lead to measurable changes in project returns at the portfolio level.
Environmental conditions add further pressure. Recent analysis indicates that soiling can reduce annual energy output by around three to five per cent globally, with much higher losses in arid regions, depending on dust conditions and cleaning frequency. In temperate environments, vegetation growth and seasonal changes can introduce slower but persistent performance declines.
Across all these variables, long-term performance increasingly depends on visibility.
Uptime becomes standard
Today, the management of operational solar infrastructure is more comparable to that of other high-reliability environments, such as data centres. In both cases, uptime serves as a key performance indicator, continuous monitoring ensures operational integrity, and even minor inefficiencies can lead to substantial financial losses.
These changes are now embedded in asset management and financing frameworks. Utility-scale solar portfolios routinely operate at higher availability levels, with data from the National Renewable Energy Laboratory indicating a median system availability of around 99 per cent and a lower-bound performance of near 95 per cent across large fleets.
Meanwhile, insurance expectations are changing as well. Capital allocation is increasingly focused on lifetime yield, rather than installation cost alone. Performance guarantees linked to availability and output have become more common, and insurance markets are placing greater emphasis on operational transparency and risk visibility.
As a result, asset value is increasingly determined by operational performance over time rather than solely by installed capacity at commissioning.
Precision matters more
The integration of battery storage adds further operational complexity across EMEA energy systems. Solar-plus-storage systems are being implemented to address intermittency and improve grid flexibility, yet their performance depends heavily on precise operational control. Factors such as state-of-charge management, cycling behaviour, and temperature conditions directly impact both efficiency and degradation rates.
IEA analysis shows that the value of storage is highly sensitive to the operational strategy employed. Cycling intensity and dispatch behaviour affect both lifetime performance and usable capacity, establishing a direct link between control precision and economic returns. As system complexity increases, limited visibility becomes more costly.
Visibility as infrastructure
Across the EMEA region, a structural shift is underway in how energy systems are monitored and controlled. Measurement and visibility are moving from being supporting functions to becoming essential infrastructure requirements.
The stability of these systems increasingly depends on the ability to understand and manage real-time behaviour across distributed assets. As the penetration of renewable energy sources rises, grid operators face growing variability, which demands higher levels of flexibility and coordination across generation, storage, and demand.
System-level analysis from the IEA consistently highlights flexibility, visibility, and control as key enablers for high-renewable power systems. Without these capabilities, operational decisions tend to be reactive, leading to increased inefficiency and systemic risks.
Control defines the next phase
Solar has passed an inflection point, despite the industry still framing progress largely in terms of capacity growth. While this continues to rise, system performance is increasingly influenced by operational capability rather than installation volume.
High levels of deployment create value only when accompanied by equivalent advancements in system visibility and control. When this alignment is lacking, complexity increases more quickly than it can be managed.
The key challenge in the next phase of the energy transition will not be the amount of solar generated, but rather how effectively that generation can be monitored, managed, and optimised in real time. At the utility scale, system performance is ultimately determined by the fact that visibility defines control.
