SureWeKnow
Intelligent Software Solutions for
Green Power Generation
and Energy Trading
True real-time analytics and predictive modeling delivers operators with enhanced visibility into broader contextual factors, like budgetary constraints and scheduling intricacies influencing operational outcomes. This comprehensive situational awareness equips operators with the insights needed to anticipate and proactively address potential challenges, optimize resource allocation, and streamline workflows for heightened efficiency and resilience. Furthermore, fostering a culture of continuous learning and collaboration ensures that operators are equipped with the tools and expertise necessary to adapt to evolving circumstances and drive sustained improvements in performance and reliability.
Enhancing the overarching reliability and resilience of systems, achieved through the optimization of data, information, and knowledge utilization within the operational framework of the control center, thereby bolstering the capacity to anticipate and mitigate potential disruptions while fostering adaptability and robustness in response to dynamic challenges.
Harnessing eXplanatory Artificial Intelligence (XAI) transforms asset optimization. Unlike traditional AI, XAI ensures transparent and auditable decision-making, offering clear insights into data complexities. This empowers informed choices, enhances operational performance, and mitigates risks. XAI enables organizations to optimize resource allocation, predict maintenance needs, and improve efficiency. Its auditable processes ensure regulatory compliance and stakeholder trust.
Improving the efficiency of resources and minimizing waste demand synchronized efforts across diverse assets, maximizing the generation while still minimizing the environmental impact.
Optimizing the financial business models which entail intricate economic strategies that integrate dynamic and multifaceted operational approaches.
Ensuring to the Transmission System Operators (TSOs) a seamless and digital flow of plant real-time capabilities for uninterrupted operations.
Implementing automated generation of dispatching capabilities with minimal human intervention, while embracing emerging trends in Artificial Intelligence.
Enabling remote operation from centralized, yet ubiquitous control centers managing multiple assets across various locations, facilitated by cloud infrastructure.
Adapting to increasingly shorter trading cycles, transitioning from the traditional hourly markets to 5-minute and even 1-minute horizons.
VECTIS ENERGY designs, develops and installs renewable energy parks (mainly wind and solar-photovoltaic) for geographical areas characterized by extreme episodic climatic and environmental phenomena (mainly: cyclonic conditions). VECTIS ENERGY develops systems and technologies that operate regularly under nominal conditions, but which automatically reconfigure to withstand all weather threads and adverse climatic factors. The most paradigmatic product of VECTIS ENERGY is the folding wind turbine. The first 50MW windfarm prepared specifically to withstand cyclonic conditions with folding turbines will be installed in Dominican Republic.
The imperative to shift towards low-carbon energy resources is prompting utility-scale energy stakeholders to reconsider both production and grid infrastructures. Energy Storage Systems (ESS) play a crucial role in this transition, offering the ability to store and discharge energy, thus opening up new opportunities and complexities in energy operations and strategy. Battery Energy Storage Systems (BESS), especially in conjunction with Variable Renewable Energy (VRE) sources, are becoming increasingly vital for stabilizing energy grids amidst the intermittent nature of renewable sources. Despite significant advancements in integrating renewable energy into power systems, challenges persist regarding the unpredictability of sources like wind and solar. BESS buffers these fluctuations, ensuring smoother generation-demand reconciliation. The market for BESS is poised for substantial growth, driven by factors like renewable energy expansion, modernization initiatives, and the odds of geopolitical tensions. However, challenges persist, particularly in the development of specific knowledge and operational logic, enhance BESS definition and integration, as well as in overcoming the confidence barrier in fully adopting automatic BESS management strategies. BESS presents significant opportunities for enhancing grid stability and facilitating the transition to sustainable energy, addressing challenges related to technology, software integration, and AI adoption is essential for unlocking its full potential and ensuring a resilient energy future. These specific challenges define the core of the project BOOST: Battery Optimization and Operational Strategies for Tomorrow.