10GW Capacity Boost: Pattern Energy Acquires Cordelio Power for US-Canada Renewable Expansion

PVTIME – US renewable energy company Pattern Energy has announced the acquisition of Canadian firm Cordelio Power. Once completed, the deal will add 1.55GW of operating and under-construction wind, solar, and energy storage projects across the US and Canada, as well as most of Cordelio’s project pipeline.

The controlling shareholder of both companies, Canada Pension Plan Investment Board, has stated that the merger will deliver asset portfolio synergies. This will increase Pattern Energy’s total installed capacity to around 10GW, extending its regional market reach.

The integration process will focus on reducing costs, improving efficiency and strengthening project contracting competitiveness. Pattern Energy plans to introduce a standardised operation and maintenance model, improve cooperation with equipment manufacturers and EPC contractors, and optimise the allocation of grid interconnection quotas. The company will also refine power output curves through integrated wind-solar-storage development in order to secure long-term, stable power purchase agreements. Key measures include unifying data acquisition, supervisory control and data analysis systems, with the company aiming to finalise investment decisions for a range of new and hybrid projects in 2026.

The consolidated asset portfolio will strengthen Pattern Energy’s bargaining power with equipment suppliers and EPCs, supporting multi-year, multi-project framework agreements that secure priority supply schedules for wind turbines, solar panels, inverters, and batteries. Shared spare parts inventories, mobile O&M teams and regional service centres will reduce project downtime and improve equipment availability.

A cross-regional, multi-type asset mix will mitigate the operational risks associated with electricity price volatility and weather conditions, thereby stabilising cash flows and credit metrics. Cost control will involve standardising a limited number of wind turbine and inverter platforms to reduce capital expenditure and simplify the design of the balance of the system, while centralised procurement will lower the unit costs of steel, cables, transformers and batteries. Centralised O&M, paired with unified monitoring systems and predictive analytics, will reduce the frequency of on-site dispatch, increase capacity factors, and lower the levelised cost of electricity.

The increased scale of assets will optimise the company’s balance sheet, reduce financing costs, and expand tax credit financing channels, thereby supporting the effective use of production and investment tax credits. Larger project volumes will enable Pattern Energy to sign scaled power purchase agreements and portfolio contracts with corporate and utility clients. Phased commercial operation will mitigate power absorption risks.

The integrated wind-solar-storage layout will enable the company to offer products such as peak shaving power and stable daytime supply. It will engage in capacity pricing and effective load-carrying capacity trading in markets with mature energy storage adoption. This will also allow Pattern Energy to diversify its contract portfolio by combining virtual and physical power purchase agreements, index hedging, and delegated operation models to optimise merchant power revenues in markets with favourable grid congestion and price basis spreads.

In planning investment for the 2026 project, Pattern Energy will use its substantial grid interconnection queue positions and developable land bank to reprioritise projects. The company will focus on nodes and sites with the potential for high returns and that are suitable for hybrid development, in order to secure investment approval next year. Standardised equipment packages and master service contracts will shorten the cycle from receiving the go-ahead to achieving commercial operation, enabling more projects to connect to the grid by the end of 2026. Expanded financing channels will enable the company to make final investment decisions in multiple regions, aligning energy storage development timelines with policy subsidies and capacity certification milestones to maximise returns.

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