How a global manufacturer stress-tested its Scope 2 strategy for hourly renewable electricity matching

Emerging GHG Protocol Scope 2 guidance could change how companies substantiate renewable electricity claims. For corporates that currently meet 100% renewable electricity targets on an annual basis, stricter temporal requirements may reveal gaps that annual accounting does not show. In this case study, discover how a global manufacturer partnered with STRIVE by STX to assess its renewable electricity portfolio on an annual, monthly and hourly basis. The diagnostic helped the company understand how its existing strategy could perform under evolving guidance, compare procurement pathways and define a forward-looking portfolio based on clear trade-offs between cost, complexity, risk and ambition.

Emerging GHG Protocol Scope 2 guidance could change how companies substantiate renewable electricity claims. For corporates that currently meet 100% renewable electricity targets on an annual basis, stricter temporal requirements may reveal gaps that annual accounting does not show. In this case study, discover how a global manufacturer partnered with STRIVE by STX to assess its renewable electricity portfolio on an annual, monthly and hourly basis. The diagnostic helped the company understand how its existing strategy could perform under evolving guidance, compare procurement pathways and define a forward-looking portfolio based on clear trade-offs between cost, complexity, risk and ambition.

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You will learn how to:

  • Understand why 100% renewable electricity claims based on annual matching may need to be stress-tested under emerging hourly matching requirements.
  • See how a global manufacturer’s renewable electricity claim changed when assessed on an hourly basis instead of an annual basis.
  • Learn how different procurement scenarios, including EACs, PPAs and technology mixes, can affect hourly matching performance.
  • Explore how STRIVE by STX helped translate evolving accounting principles into practical procurement decisions based on cost, complexity, risk and ambition.

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