Delhi’s Energy Demand At 7,265 MW Soars To Highest This Summer time So Far



The height energy demand of Delhi at 7,265 MW on Monday was the best for Might 1-19 interval up to now 4 years, discom officers mentioned. State Load Dispatch Centre…

Delhi’s Energy Demand At 7,265 MW Soars To Highest This Summer time So Far

The height energy demand of Delhi at 7,265 MW on Monday was the best for Might 1-19 interval up to now 4 years, discom officers mentioned. State Load Dispatch Centre Delhi realtime information recorded Delhi’s energy demand at 7,265 MW at 3.29 pm.

The height energy demand of Delhi for Might 1-19 interval was 7,174 MW in 2024, 5,953 MW in 2023 and seven,070 MW in 2022, officers mentioned.

The BSES discoms BRPL and BYPL met the height energy demand of three,227 MW and 1,596 MW, respectively, of their areas, mentioned a spokesperson of the corporate.

A Tata Energy Delhi Distribution Ltd., assertion mentioned that the height energy demand of seven,265 MW on Monday (Might 19) was the best on the day in final 5 years.

It was 7,164 MW on Might 19, 2024; 5,518 MW on Might 19, 2023; 7,070 MW on Might 19, 2022 and 3266 MW on Might 19, 2021, it mentioned.

The discom efficiently met its peak demand of two,136 MW on Monday, the best of this season up to now, with none community constraints or provide disruptions, regardless of the continued scorching climate, it mentioned.

The discom is ‘totally ready’ to make sure uninterrupted, high quality energy provide to the customers, by way of a multi-layered energy procurement technique comprising long-term bilateral agreements, reserve shutdown capability, and dynamic participation on the ability change, it added.

The BSES discoms are geared-up to make sure dependable energy provide to fulfill the ability demand of greater than 50 lakh customers in South, West, East and Central Delhi, mentioned the corporate spokesperson.

These preparations embrace long run energy buy agreements and banking preparations with different states and deployment of newest applied sciences for predicting energy demand precisely, he added.

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