Climate Adaptation Unlocking Value Chains with the Power of Technology 2025

Tech and data needs, to enable adaptation across energy systems value chain TABLE 2 Note: NESO = National Energy System Operator (formerly UK’s National Grid ESO); PG&E = Pacific Gas & Electric; CERI = Center for Economics, Resources, and Innovation, University of California, Berkeley. Sources: Siemens, National Grid ESO, Power Grid International, Enel North America, BCG analysis.46Adaptation use caseShared data needs Illustration Tech needs Compr ehend risks and opportunities Build resilience against futur e impactsClimate impact modell ing– AI and real-time data analytics for energy infrastructur e resilience modelling – Monitoring tools for key assets – Digital twin modelling for energy system simulation– Historical performance data for grid stability and energy consumption – Real-time data from turbines and energy assets – Vulnerability assessments across the grid – Historical maintenance and failur e dataSiemens Gamesa uses digital twin models of wind turbines to optimize maintenance schedules, reducing turbine maintenance costs by 30% and extending their operational lifespan, ensuring reliable energy production even in extreme weather conditions. Real-time energy management– Real-time data analytics tools for energy balancing – AI models for grid and energy use optimization– Energy consumption data during peak times – Supply and demand metrics for energy – Predictive analytics for identifying potential failur es – Historical performance data for grid stabilityBy using AI, NESO reduced downtime by over 20% during critical weather events. The system anticipates grid stresses and reroutes energy flows, ensuring grid stability during peak demand. Energy early warning systems– IoT sensors for envir onmental monitoring – Data analytics tools for risk assessment – AI for short-term weather modelling– Real-time data on envir onmental conditions (including Earth observation) – Historical data on natural disasters and their impacts – Alerts for flood-pr one areas and other risksPG&E uses IoT sensors to monitor environmental conditions, identifying wildfire risks early. This system prevents major infrastructure damage and blackouts by enabling operators to take early action before fires escalate, ensuring continued service during high-risk seasons. Respond dynamically when impact hits Energy emergency response– Microgrid technology for independent operation – Energy storage systems for backup power – Smart battery management systems– Data on critical facility energy requir ements – Envir onmental data for disaster prepar edness – Historical data on emergency responses and outages – Metrics on energy supply during high-demand periodsAfter Hurricane Maria, CERI deployed solar -power ed microgrids with battery storage to three key facilities in Puerto Rico. These microgrids provided reliable power to hospitals and essential services, ensuring continued operation during extreme weather events while reducing energy costs by 20%.1 2 3 4 Climate Adaptation: Unlocking Value Chains with the Power of Technology 21