Economy

Energy transmission demands R$16.3 billion in new works until 2026, says ONS

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The Brazilian electricity system will require investments of R$ 23.9 billion in energy transmission works by 2026, of which R$ 16.3 billion will be allocated to new projects, according to a medium-term plan prepared by the ONS (Operator National Electricity System).

The set of works indicated by the ONS for the 2022-2026 cycle sums up 7,951 kilometers of new transmission lines across the country, in addition to 20,046 megavolt-ampere (MVA) in additional transformation capacity in substations.

These projects represent increases of 4.3% in the extension of the transmission lines network and 4.5% in the nominal installed power in transformers in the existing network, says the ONS.

Among the new works contemplated by the operator, part of them was tendered in the past and are undergoing an expiry process, and should be re-bid in a transmission auction scheduled for the first half of this year.

The planning foresees a significant increase in the power export capacity of the Northeast, considering the region’s potential for wind and solar generation. Between 2022 and 2026, the ONS estimated that the maximum exportation of the Northeast could reach 15,400 average megawatts (MW) in 2026, against 11 thousand in 2022.

The report also projects that centralized solar photovoltaic energy (large plants) will have significant growth, more than doubling the installed capacity in the 2021-2025 horizon, from the current 4.5 GW to 9.2 GW.

By the end of 2025, the ONS estimates that the installed capacity of the SIN (National Interconnected System) will total 191.3 GW. Of this total, 36 GW refer to wind and photovoltaic generation plants — this number can reach 52.4 GW if considering the plants with the signed CUST (Transmission System Usage Contract) and valid access opinions or in progress in the ON

In relation to the energy load, the ONS forecasts a 20% growth in 2026 compared to 2020, using the concept of non-coincident maximum demand — used specifically to estimate demands that happen at different times and months.

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