Climate Adaptation Unlocking Value Chains with the Power of Technology 2025

Page 25 of 43 · WEF_Climate_Adaptation_Unlocking_Value_Chains_with_the_Power_of_Technology_2025.pdf

Four tech-driven use cases to help manufacturing systems adapt to climate-related disruptionsFIGURE 10 Note: HVAC = heating, ventilation and air conditioning. Source: World Economic Forum and BCG analysis. 22.5°C Digital supply chain platforms Adjust supply chains in real time to avoid climate-r elated disruptions, ensuring timely deliveries and uninterrupted production. Real-time supply chain optimization uses AI to detect disruptions and adjust sour cing and r outing. Supplier risk assessment identifies suppliers vulnerable to climate impacts. Climate-driven demand for ecasting predicts shifts in demand based on climate patter ns.1 Advanced cooling & heating systems Advanced HVAC systems dynamically adjust temperatur e, maintaining safe working conditions during heatwaves or cold spells while minimizing energy use. Dynami c HVAC systems use AI to adjusts cooling/heating based on real-t ime climate data . Heatwa ve response systems activate coolin g systems during heatw aves, preventing overhea ting of equipment. Energy-effici ent climate control ensur es factories stay opera tional during extreme tempe ratur es with minimized energ y use.Automatic protection systems Flood barriers and storm protection systems automatically secur e factories and equipment during climate-induced disasters. Automated flood barriers use AI systems to raise barriers preventing flooding. Automated equipment relocation use robotic systems to move vulnerable equipment to higher ground. Real-time envir onmental monitoring uses IoT sensors to issue alerts when envir onmental thresholds (e.g. temperatur e, flooding) are exceeded.3 4Advanced predictive maintenance Predict climate-induced equipment failur es, enabling timely maintenance to pr event br eakdowns caused by heat, moistur e and wear . Real-time climate impact monitoring analyses machine data to detect overheating or moistur e-related failur es. AI-power ed pr edictive maintenance monitors machine data to pr edict climate-induced wear , schedule r epairs and enable remote diagnostics to pr event equipment failur es. Energy optimization uses AI algorithms to balance energy loads during peak demand and stor e surplus energy to ensur e continuous operation during grid outages.2 Upstr eam input pr oviders Production facilities Logistics networks End usersValue chain stakeholde rs involve d Climate Adaptation: Unlocking Value Chains with the Power of Technology 25
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