Wind energy storage patent

How do wind energy patents work?

Methodology for wind energy application can be generalized for patent searching to target other technology domains. Wind energy patents are conventionally defined using Cooperative Patent Classification (CPC) and International Patent Classification (IPC) codes that represent wind motors (F03D) and wind energy (Y02E 10/70).

How many patents are used in a wind energy application?

The number of patents used in all four samples on the wind energy application are outlined in Table C1. The sample size used for Sample 2 (Keyword Set – WEDD1) is 257, which is between 5 and 10% margin of error.

How many patents are related to wind turbine technology?

It was found that 10% were related to manufacturing, load testing, or material advancements in wind turbine blade technologies, 8% of patents were related to vibration and fault detection for diagnostic testing, 5% of patents were related to hybrid charging stations with battery storage, and 4% were related to offshore wind construction.

Who reviewed wind energy patents?

The wind energy experts who reviewed the patents in this study are UMass Wind Energy Fellows, who are PhD Candidates at the University of Massachusetts Amherst. The patent reviewers were selected on a volunteer basis. Two of the four patent reviewers suggested keywords for this study after they completed the patent review process.

Can wind energy patents be retrieved using conventional codes?

Patents retrieved using conventional codes for wind energy underrepresent patents from China and published since 2010. Methodology for wind energy application can be generalized for patent searching to target other technology domains.

What is the population proportion of a wind energy patent?

For the application to wind energy in Section 3, the population proportion (P) is assumed to be 50% since determining whether a patent is related or unrelated to the technology in question is a binary outcome. This assumption also results in the largest sample size for the population. The margin of error is then tested at 5% and 10%.