Energy

Case Study

Data Centers & Nuclear Energy Plants

Operators of mission-critical facilities like data centers and nuclear plants face escalating cooling loads and reliability risks as external heat intensifies. Even minor temperature fluctuations around air intakes, cooling towers, and external walls can impact uptime, energy use, and equipment lifespan...

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Energy

Case Study

Oil & Gas Companies

Oil and gas operators are contending with climate exposure risks across exploration, refining, and distribution assets. Extreme heat accelerates equipment fatigue, compromises worker safety, and raises emissions from flaring and fugitive processes. Traditional risk monitoring relies on broad climate models that fail to capture site-specific variations across refineries, terminals, and offshore infrastructure. Without granular insight, asset managers must rely on reactive maintenance and generalized safety thresholds that don’t ref...

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Energy

Case Study

Utility Companies

Electric and water utilities must maintain grid stability and service continuity as rising ambient temperatures increase demand and strain aging infrastructure. Overheated substations, transformer failures, and water loss in distribution systems are becoming more frequent, yet utility monitoring often lacks the localized heat context necessary to anticipate such issues. Demand forecasting and asset prioritization remain reactive, causing energy losses and higher operational costs...

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Energy Case Studies

Energy

Plant / HSE Managers

A plant manager in a refinery or energy facility must ensure worker safety and equipment reliability during peak heat conditions. Existing safety systems monitor temperature inside controlled areas but neglect outdoor heat exposure along pipelines, tanks, and field work zones. This gap complicates compliance with heat stress regulations and limits the ability to schedule operations or maintenance safely.

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Energy

Data Analysts

A data analyst working within a utility or energy infrastructure company must correlate environmental factors with operational performance. However, the datasets available to them are coarse, inconsistent, and fail to capture site-level conditions. This lack of granularity limits the predictive accuracy of performance models, particularly those used to optimize cooling, maintenance scheduling, or grid balancing under extreme heat.

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Energy

Smart Grid Managers

A smart grid manager must balance power loads across a distributed network during heatwaves that drive unpredictable surges in demand. Conventional grid management systems lack localized temperature inputs, resulting in reactive load redistribution and inefficient demand response activation. Without visibility into how heat varies across neighborhoods, substations, and transformer zones, the grid operates with reduced precision and higher vulnerability to overload events.

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Energy

Plant / HSE Managers

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Energy

Data Analysts

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Energy

Smart Grid Managers

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“Working with FortyGuard provided Masdar City clear insights into the thermal properties of the Eco Plaza and surrounding area. Combined with nearby trees and softscape planting, this approach could reduce ambient temperatures by up to 5°C.”

Sebastian Miller

Design Manager · Masdar City

“FortyGuard is led by Jay Sadiq. They are using AI and cloud computing, and aim to tackle climate change in cities by offering a complete urban climate management solution. When Jay explained it to me, I was like 'Wow! Measuring temperature using IoTs, using other opportunities – FortyGuard, you are on the future roadway and journeys to the future!’”

H.E. Abdulla Bin Touq Al Marri

UAE Minister of Economy