Denoising methods use the md5sum of the sequence as the feature ID of that sequence. This makes it possible to merge different studies that use the same exact processing parameters.
de novo OTU clustering creates an arbitrary ID for each feature. Hence, there is no way to compare these features between studies or even multiple OTU clustering runs.
It is not impossible to compare these sequences, but it is somewhat abnormal — follow this solution:
I can't really provide support if this fails because you are venturing into unknown territory. I still suspect the OTUs and ASVs will not be comparable since you probably processed with different parameters. It would be more straightforward and feasible to import the qiime1 OTU table into QIIME 2 and collapse both tables on taxonomy.
Good luck!