Climate-Resilient Data Center: From Physical Analysis to Financial Reporting
Today’s data centers are built on PUE targets, uptime and service level commitments. The engineering investments made to reach those targets are valuable; but the design criteria they rest on are derived from past climate records, and the climate is changing. Increasing heat waves, drought and water stress, severe storms and sudden heavy rainfall affect the whole operational chain, from the performance of cooling systems to the reliability of backup power. This page describes our approach to the climate resilience of a data center in three steps: measuring today’s physics, projecting tomorrow’s climate for the specific site, and translating the results into the language of financial reporting.
This page describes the approach; numerical results are produced separately for each site and no example figures are given here.
Two questions for investors and operators
The first question concerns capacity: how many days a year will the value accepted as the design temperature be exceeded over the life of the facility, and with what margin will the cooling system operate on those days? The second concerns resilience: during a grid outage, how much shorter will the time for critical equipment to reach its temperature limit become in a hotter outdoor environment? Neither question can be answered from past climate data alone; physical analysis and future climate projection have to come together in the same model.
Climate resilience in three steps
- White space: time-dependent (transient) CFD measures how long cabinet temperatures remain within service level limits in instantaneous scenarios such as a power outage; we call this duration the resilience window.
- Grey space: in LV switchboard, UPS and battery rooms, the thermal effect of a single air conditioning unit failure (the N+1 scenario) and of the summer peak condition is evaluated.
- External flow: generator and dry-cooler placement, prevailing wind directions and building geometry are modeled together to quantify the risk of exhaust re-ingestion and its effect on cooling performance.
- Extreme heat: how the number of days exceeding the design temperature and the duration of heat waves change over the life of the facility is shown by projection under emission scenarios.
- Drought and water stress: the water supply risk for evaporative cooling and the increase in dust and filter load are assessed.
- Compound hazards: the flooding and drainage risk created by sudden heavy rainfall after prolonged dry periods is addressed.
- Storm and lightning: a risk assessment based on the intensity trend is carried out for outdoor units and power lines.
- Dynamic risk assessment: how critical indicators such as the resilience window narrow with future temperature increases is demonstrated.
- Adaptation options: the need for structural and operational measures such as additional redundancy (N+2 instead of N+1), wind deflection barriers or preventive operating scenarios is established on evidence.
- Reporting aligned with IFRS S2 and TSRS: physical risks and adaptation costs are translated into financial impact in line with the sustainability reporting standards used by banks and investors.
The three steps form a single chain: the engineering results of the first step are combined with the climate projections of the second and turned into an actionable, financial framework in the third. The team that validates the cooling design and the team that reports the site’s climate exposure are the same. Methodology details and the validation chain belong to Alkazar.
Why move from operational efficiency to strategic resilience
Data center investment is growing rapidly, and these facilities are designed to operate for decades. Physical climate risks such as flooding, extreme heat and water stress are not just findings in a technical report; they can turn into real damage, business interruption and significant financial losses. Our work with the insurance sector shows that transition at close range. That is why we believe climate risks need a place at the table when investment and design decisions are made, at the start rather than afterwards.
| Heading | What it provides |
|---|---|
| End-to-end accountability | The whole process, from the physics of the data center to the financial reporting of climate risks, is run with a single accountable partner. |
| Evidence-based investment planning | Costly decisions such as increasing cooling capacity are justified with validated future climate data and engineering analysis. |
| Communication in the language of finance and insurance | Technical risks are translated into language investors and insurers understand, strengthening your position in loan and policy discussions. |
| A preventive approach | Potential bottlenecks are identified before problems arise; operational disruptions are prevented in advance. |
What is delivered
- Current-state report: results of the white space, grey space and external flow analyses; acceptance criteria are locked with the client before the runs start.
- Site-specific climate projection summary: how design conditions change in future periods, for the selected scenarios.
- Resilience assessment: how critical indicators change under future conditions and a comparison of adaptation options.
- Reporting output: a summary of physical risks and adaptation costs translated into financial impact in line with the IFRS S2 and TSRS framework; a management presentation.
The scope is defined per project: all three steps can be run as a single study, or steps two and three can be added on top of an existing CFD study. Future climate projections are set up within the project on our enterprise climate risk platform UrClimate Tailor; for the platform itself see the UrClimate Tailor page.
Who it is for
- Investors and operators planning a new data center or a capacity uplift at an existing facility.
- Mechanical design teams and contractors who need to justify the cooling design against future climate conditions.
- Finance, risk and sustainability functions that need to carry the physical climate risk of data center assets into sustainability reports, loan and insurance processes.
Frequently asked questions
I already have a CFD study; can I take only the climate projection and reporting steps?
Yes. When the boundary conditions and results of the existing model are shared, steps two and three are built on that study; where necessary, the critical scenarios are re-run with updated climate conditions.
Which reporting framework do the outputs follow?
IFRS S2 internationally and TSRS in Türkiye; TSRS is Türkiye’s adoption of IFRS S1 and S2. How the frameworks treat physical climate risk is explained on our TSRS climate risk reporting page.
Which climate scenarios are used?
Internationally recognized climate projections and socioeconomic emission scenarios are processed for the location of the site; which scenarios are reported is agreed together according to the life of the investment and the reporting requirement. Data sources and processing steps are documented in the report.
How is this different from a data center CFD analysis?
The CFD analysis is step one and can be carried out on its own; the approach on this page adds the re-evaluation of the same model under future climate conditions and the link from results to financial reporting. For the scope of the CFD service see our data center CFD analysis page.
Related content
- Data center CFD analysis: white space, grey space, external flow and transient resilience scenarios.
- Data center cooling and airflow management guide: airflow management, condensation control, redundancy and PUE.
- Exhaust dispersion analysis: generator exhaust, re-ingestion and wind effects.
- ASHRAE design conditions: station, site and horizon: the three limits of design conditions.
- The financial impact of physical climate risk: how physical risk is translated into financial impact.
- TSRS climate risk reporting: the reporting framework and obligations.