A booming segment of the Perpetual Motion Machine industry is capitalizing on the hype over the "Hydrogen Economy" with claims to produce Hydrogen for impossibly low cost.

2005-01-26

Genesis Scientific posts "test results"

Pat Kelly has renamed Genesis World Energy Genesis Scientific. I guess he wants his scams to all have the same initials. He's posted a table that he claims are verified by "qualified independent testing laboratories". It's possible that Kelly is sincerely confused about the measurement of his process or its novelty. But he has to know that he didn't have any independent lab review this mishmosh. Watts are used in this table to refer to a measure of power (the right way), as an average power draw over a 60 minute period, and an average draw over a 90 minute period. I leave it as an exercise for the reader to spot the usages. To help, I'll walk through the calculations that relate the rows in the table to each other.

>>> # Flow is per minute. From the table
>>> FlowPcc=[5.3439, 6.9967]
>>> PowerPcc=[0.2509, 1.991]
>>> # Divide flow per area by power per area to get flow per unit of power.
>>> FlowPWatt=[a/b for (a,b) in zip(FlowPcc, PowerPcc)]
>>> FlowPWatt
[21.298923874053404, 3.5141637368156702]
>>> # Divide by 60 seconds per minute to get cc/Joule
>>> VolPJ=[x/60 for x in FlowPWatt]
>>> VolPJ
[0.35498206456755671, 0.058569395613594505]
>>> # Assuming this cost, how much energy to make 100l?
>>> l100e=[100000/x for x in VolPJ]
>>> l100e
[281704.3732105766, 1707376.3345577202]
>>> # Assume the "wattge" in row 3 of the table really is power. Divide into
>>> # energy to get time.
>>> wattage=[78.25, 316.18]
>>> testlength=[a/b for (a,b) in zip(l100e, wattage)]
>>> testlength
[3600.0558876751002, 5400.0137091458037]
>>> # So one test was run for 1.5 times as long as the other. Converting to hours.
>>> testlenH=[x/3600 for x in testlength]
>>> testlenH
[1.0000155243541944, 1.5000038080960565]
>>> # Reconcile the "volume per watt" with testlength and earlier FlowPWatt
>>> checkvol=[a*b/60 for (a,b) in zip(FlowPWatt, testlength)]
>>> checkvol
[1277.9552715654952, 316.27553924979446]

The 404% in the last row is a comparison between the power in a test run for an hour to one run for 90 minutes. They should have been claiming a 606% improvement.

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