Great insights in this recent publication from ETIP SNET which underscores the importance of probabilistic methods in planning, operating, and maintaining energy infrastructure due to several key challenges in the evolving energy landscape.
This is 100% aligned with Infinigrid's #promaps solutions providing precise near real-time insights using probabilistic methods.
Some highlights:
✅ Integration of Multiple Energy Vectors: As sectors like electricity, gas, hydrogen, and others converge, there is a need for integrated, probabilistic planning models to handle cross-sector interdependencies effectively, considering all possible outcomes in the energy transition.
✅ Legislative and Policy Mandates: EU legislation emphasizes a "one energy system" approach to address climate goals. This requires infrastructure planning methods that can model interconnected sectors, quantify their interdependencies, and deliver robust cost-benefit analyses.
✅ Disruptive Technologies and Uncertainty Management: Emerging technologies (e.g., high-capacity batteries, optical computing) necessitate adaptive infrastructure capable of probabilistic "what-if" analysis to accommodate rapid advancements and avoid stranded assets.
✅ Sectoral Resilience and Flexibility Needs: High penetration of renewables introduces variability in energy supply. Probabilistic planning models are critical for assessing network resilience, load forecasting, and demand flexibility across sectors (like heating, transport, and water).
✅ Digital Integration and Infrastructure: The integration of IT and telecom systems into energy networks requires probabilistic assessments for managing real-time data flow, cybersecurity, and digital twin technologies, which support accurate predictions and network efficiency.
Probabilistic models thus serve to mitigate risk, enhance system resilience, and facilitate optimal cross-sectoral investment, helping achieve decarbonization targets sustainably.
CINEA - European Climate, Infrastructure and Environment Executive Agency
#promaps #realtimeinsights #probabilisticmodels #decarbonize
https://lnkd.in/exksi7qp
