Addressing the Bottleneck in Distributed Energy Resource Interconnection
The Hidden Bottleneck Slowing DER Interconnection—and What Utilities Can Do About It
Power Magazine
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Utilities face increasing delays in processing distributed energy resource (DER) interconnections due to inefficient data handling. As the demand for solar, storage, and electric vehicle infrastructure rises, improving the transition from field data to engineering-ready inputs is crucial for speeding up interconnection timelines.
- 01Interconnection delays are partly due to inefficient data processing within utility engineering teams.
- 02Manual reconstruction of data from field measurements slows down engineering workflows.
- 03Advancements in technology can streamline data preparation for interconnection studies.
- 04Utilities can improve interconnection timelines by prioritizing engineering-ready data and reducing manual tasks.
- 05Addressing data handling inefficiencies presents immediate opportunities for faster project approvals.
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Utilities are under pressure to expedite the interconnection of distributed energy resources (DER) as requests for solar, storage, and electric vehicle infrastructure surge. However, many utilities face significant delays due to the time-consuming process of converting field data into engineering-ready inputs. While the industry has improved data collection methods, the manual nature of data preparation often results in longer project timelines. Engineers typically spend more time reconstructing models than conducting necessary structural analyses, which is increasingly problematic as demand for interconnections rises. To address this issue, utilities are exploring new technologies that can convert field data into structured models more efficiently. By focusing on engineering-ready data and reducing manual reconstruction, utilities can enhance workflow efficiency and accelerate interconnection processes. These improvements are vital as DER adoption continues to grow, making it essential for utilities to streamline their engineering workflows to keep pace with rising demand.
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Improving data processing efficiency can significantly reduce interconnection delays, benefiting home and business owners seeking to adopt renewable energy solutions.
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