30/01/2025
Grid congestion is becoming an increasingly pressing issue. Companies are forced to shelve expansion plans due to an inability to upgrade their grid connection, or are unable to bring new business locations online because of limited connection capacity. Even green ambitions—such as electrification—are stalling due to the lack of space on the electricity grid. These challenges raise urgent and strategic questions for businesses: how can you ensure you have sufficient energy available, and how can you organise it smartly?
Solutions to grid congestion
Fortunately, several options now exist to mitigate grid congestion. For example, batteries can be used to store energy for use during peak periods. Another solution is shifting energy consumption to off-peak hours—known as ‘peak shaving’. Solar panels and power generators can also play a valuable role by generating energy locally and feeding it into your system.
The real challenge lies in finding the right balance. How large should a battery be to provide sufficient capacity without incurring unnecessary costs? How many solar panels are needed, and can the generated energy be used optimally? If a generator is added, what capacity is required, and when should it run? These are complex questions that call for an intelligent, integrated approach.
Simulating with smart tools
CQM has developed a powerful tool to make these challenges transparent and manageable. Our tool simulates various configurations and calculates how much energy is needed at any given time—and how that energy can be made available. It maps out energy flows, prevents overloads, and provides insight into how energy demand can be met as efficiently as possible.
The tool offers clarity not only on required storage capacity, the number of solar panels, or the generator size, but also performs automatic scenario calculations. This enables future-proof and cost-efficient decision-making.
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Optimization through smart energy management
Designing the right energy configuration is just the first step. In the operational phase, it becomes equally important to manage the energy system intelligently. Energy consumption and generation are often highly dependent on fluctuating conditions. That’s why working with predictive models and intelligent algorithms is essential. These models can accurately forecast energy demand and generation, and translate these insights into optimal control strategies for each component in the system.
CQM combines decades of experience in Data Science, forecasting, and optimization to support companies in both designing and managing their energy systems. This enables them to operate efficiently and reliably, despite the limitations caused by grid congestion.
Who benefits from this approach?
This approach is especially valuable for companies offering energy solutions and supporting clients with grid congestion challenges—such as battery suppliers or providers of integrated solutions combining grid connections with solar panels, generators, and storage.
Large companies with complex energy infrastructures and dedicated energy managers also benefit from our tools and expertise. By leveraging forecasting, scenario planning, and intelligent algorithms, they can optimize energy usage and make strategic, data-driven decisions.
Want to learn more?
Do you recognize the challenges of grid congestion—or work with businesses looking for solutions? Feel free to get in touch with CQM. We’re happy to support you with our expertise so you can offer a tailored, future-ready solution. Together, we’ll move your organization—or your clients—forward.
