Henry Yao and Tenzin Blair from our Science & Technology team took part in the recent Finning Data Centre Conference in Calgary, where industry leaders discussed the accelerating demand for AI infrastructure, power generation, grid readiness, and the opportunity ahead for Alberta and Canada.
Here are their top 10 takeaways for clients planning, developing, or operating data centres:
𝟭. 𝗔𝗜 𝗶𝘀 𝗿𝗲𝘀𝗵𝗮𝗽𝗶𝗻𝗴 𝘁𝗵𝗲 𝗱𝗮𝘁𝗮 𝗰𝗲𝗻𝘁𝗿𝗲 𝗹𝗮𝗻𝗱𝘀𝗰𝗮𝗽𝗲
AI data centres are creating one of the steepest CAPEX curves in modern history. Organizations that have focused on maximizing access to computing power are gaining a performance advantage, while others face growing bottlenecks.
𝟮. 𝗘𝗻𝗲𝗿𝗴𝘆 𝘀𝗼𝘃𝗲𝗿𝗲𝗶𝗴𝗻𝘁𝘆 𝗶𝘀 𝗮 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗰 𝗮𝗱𝘃𝗮𝗻𝘁𝗮𝗴𝗲
Canada has significant natural resources and ranks highly for energy sovereignty but unlocking that advantage will require faster alignment across utilities, regulators, municipalities, and developers.
𝟯. 𝗔𝗹𝗯𝗲𝗿𝘁𝗮 𝗵𝗮𝘀 𝗲𝗻𝗼𝗿𝗺𝗼𝘂𝘀 𝗱𝗮𝘁𝗮 𝗰𝗲𝗻𝘁𝗿𝗲 𝗽𝗼𝘁𝗲𝗻𝘁𝗶𝗮𝗹
Conference discussions referenced more than 20GW of requested data centre connections in Alberta, with demand far exceeding current available capacity. This represents a major opportunity for economic diversification, tax base expansion, and generational growth.
𝟰. 𝗚𝗿𝗶𝗱 𝗰𝗮𝗽𝗮𝗰𝗶𝘁𝘆 𝗶𝘀 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗱𝗲𝗳𝗶𝗻𝗶𝗻𝗴 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀
The pace of data centre demand is outstripping the pace of infrastructure development. Current permitting, land rights, approvals, and public consultation pathways remain lengthy and complex.
𝟱. 𝗕𝗲𝗵𝗶𝗻𝗱-𝘁𝗵𝗲-𝗺𝗲𝘁𝗲𝗿 𝗽𝗼𝘄𝗲𝗿 𝗶𝘀 𝗴𝗮𝗶𝗻𝗶𝗻𝗴 𝗮𝘁𝘁𝗲𝗻𝘁𝗶𝗼𝗻
Panelists noted that behind-the-meter configurations can offer significantly higher efficiency than traditional grid delivery models, making them an important, and in many cases mandatory, consideration for future data centre developments.
𝟲. 𝗔𝗜 𝗹𝗼𝗮𝗱𝘀 𝗮𝗿𝗲 𝗺𝗼𝗿𝗲 𝗱𝘆𝗻𝗮𝗺𝗶𝗰 𝘁𝗵𝗮𝗻 𝗰𝗹𝗼𝘂𝗱 𝗹𝗼𝗮𝗱𝘀
Compared with traditional cloud data centres, AI facilities can experience much greater transient load swings. This changes the engineering conversation around gas generation, diesel standby, BESS, and overall system resilience.
𝟳. 𝗕𝗘𝗦𝗦 𝘄𝗶𝗹𝗹 𝗽𝗹𝗮𝘆 𝗮 𝗸𝗲𝘆 𝗿𝗼𝗹𝗲 𝗶𝗻 𝗳𝗮𝘀𝘁 𝗿𝗲𝘀𝗽𝗼𝗻𝘀𝗲
Battery energy storage systems are becoming increasingly important for managing rapid load changes and supporting reliability, especially where AI workloads create more volatile demand profiles.
𝟴. 𝗙𝘂𝗲𝗹 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆 𝗺𝗮𝘁𝘁𝗲𝗿𝘀
Gas, diesel, BESS, and hybrid solutions each have advantages and limitations. For AI data centres, fluctuating loads can create challenges for gas generation, while diesel can offer operational advantages in certain standby or transitional scenarios.
𝟵. 𝗖𝗼𝗼𝗹𝗶𝗻𝗴 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗲𝘀 𝗮𝗿𝗲 𝗲𝘃𝗼𝗹𝘃𝗶𝗻𝗴 𝗾𝘂𝗶𝗰𝗸𝗹𝘆
Liquid cooling, direct-to-chip solutions, and closed-loop water strategies are expected to become increasingly central as AI compute densities continue to rise.
𝟭𝟬. 𝗔 𝗵𝗼𝗹𝗶𝘀𝘁𝗶𝗰 𝗲𝗻𝗲𝗿𝗴𝘆 𝗿𝗼𝗮𝗱𝗺𝗮𝗽 𝗶𝘀 𝗲𝘀𝘀𝗲𝗻𝘁𝗶𝗮𝗹
Successful data centre development will require more than power availability. It will demand integrated planning across generation, distribution, emissions reduction, approvals, cooling, resiliency, operations, and long-term scalability.
The overarching message was clear: data centre growth is accelerating, but infrastructure, regulation, and energy strategy must move just as quickly.
At HH Angus, we help clients navigate this complexity through integrated engineering solutions for data centres, including power, cooling, resilience, decarbonization, and operational performance.
To learn more about our energy solutions and advisory services for mission critical environments, contact Nick Mons.