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in production.

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So,

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we have been making a study

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on the topic of Potential Strip for Energy

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Efficiency Report.

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We could have regulations where it drives and

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this study is made in

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collaboration with SEMER for their request

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and it's divided

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into two parts.

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analysis of the energy savings potential,

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setting more stringent requirements

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for the BST losses.

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Second is investigating the

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measurement uncertainty challenges related to the overall loss requirements.

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And third is estimation of expected

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increase in product cost as the function

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of a lot of losses.

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So about the motivation,

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the current

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high classifications for BSDs are quite loose

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and therefore there might be decided to introduce

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more new,

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more strict FTC classes and regulations.

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And the concern

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among the BSD manufacturers has been that new regulations

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could have adverse effects on the market,

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so without the adoption of BSDs in the

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worst case.

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And in this study,

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the potential

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effects,

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contact, potential,

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which are repulations are analyzed.

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So in the first part it

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is

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divided into two parts.

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In the first part we look at how it would be seen

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if only looking at the IE class limits can be current.

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IE2

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is the requirement currently.

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This

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is the introduce

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or predict the next

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IE2 class would probably reduce

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the BST losses by another 25 % so the

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class limits are based on the reference losses

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of 100 % and IE2 is defined as 25

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% less losses than the reference losses Our

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guess is

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that the next one would be IE3 that has 25

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% less losses

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for the sake of like not

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setting any tolls we used to consider IH2 -25.

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And we make analysis

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in real world conditions on the level of DSP

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and the rule drive system.

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And the similar analysis is done from

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the actual measured

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DSP was this and what it

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would like if you would like it.

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analysis is based on three

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actual lab systems,

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and here using this visual

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one example.

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How

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we make the comparison data,

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we use the actual measured cross

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-map. First we convert

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it into a starting map by dividing

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the whole map,

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creating the data point losses,

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so 100%.

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Next,

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you can then

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achieve the loss map that would represent

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the losses in the full operating range

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for IE2 limit ESP and

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similarly to IE2 minus 25%.

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we need VST.

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And using

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the loss match,

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we can then analyze

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losses in real load scenarios

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by applying the known

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load periods on the

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data.

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And of course this would have been done in more accurate

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terms for all these four cases.

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There was very clear

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Like,

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so is both direct operating points.

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Average

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relative losses were 48%,

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creating point losses

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for whatever it was.

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55 % hit 1 % for linear loss,

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39 % for constant power,

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84 % for constant torque growth.

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And from

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that data.

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Of course,

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in this video we have determined also the

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losses for IE3 motor

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in a similar manner and we are using the same

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losses for both IE2 and IE2

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-25 % cases so this includes the assumption that both

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these VSTs will produce exactly the same type

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of voltage for the motor

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And here we can see that the reduction of 25 % in

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the BSD losses translates to around

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12 % of reduction in the EDS

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losses,

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almost across the whole.

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So there is a

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whole actually surprisingly difficult

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effect on the load scenario in these terms.

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Here are data from both assignments

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from the beginning.

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This was the IH2 -25 % case and

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then here the actual DST

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was system measured and the 25

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% reduction from those is included.

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So the real DST

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already is allowed.

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It's far below.

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IE2 limit that is here,

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then this would be 25 %

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where we currently are.

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And in the study,

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we have small

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market research using about values

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for ESPs and actually many are even better than this.

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So around here,

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this is not an exception.

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Here

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is a table for all the three

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cases.

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illustrated,

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the Bosch -Gleece is similar

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in the old cases and this is for the actual minus 25 % case.

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So in energy savings this is calculated as

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the reduction of the total power consumption.

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So on the total power consumption 25

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% reduction in the current.

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ESP losses result in 1 % reduction in

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the operating energy savings.

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Here

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is the same thing we illustrated as the quite

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small share for the overall picture.

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And as a conclusion of

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part 1, introducing a new ESTI

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class with 25 % lower limit.

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From the current eye to no effect

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on real products,

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the share of the VST losses of the

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total energy power consumption is small.

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Reduction in VST losses have

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a beautiful effect in the thick picture,

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and the share of the VST losses of

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the total losses of the motor drive system depends on the application

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setup.

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Some degree,

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but the general picture is the same.

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in all applications to be analyzed.

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And the second part was

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the seventh uncertainty issues or

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challenges.

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So actually related

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to the previous presentation here

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is actually included an indirect or basically

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if you have one percent accuracy with the colorimeter.

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you already at 95 % efficiency

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are in the same accuracy as Yokokawa

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BP5000 that is considered the

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current state of PR typing so this is what

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is achievable with the best power analyzers

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correctly so when

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we get higher and higher efficiency

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get into trouble with the uncertainty.

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This is then

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the uncertainty across different power levels of

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DSPs and the curves represent

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reference CPM,

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IE2,

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so basically IE2 -25.

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So these are basically the...

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this is the like...

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Yeah, this match is the real minus

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25 % case of death.

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So in

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the IE2 class,

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the uncertainty is near 10%,

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which is still okay.

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But the DST

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is with half the losses of IE2.

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But the uncertainty has to be even

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high.

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And then...

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if we go outside the baby point.

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These are the loss answers that is

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calculated for those three

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example VSTs that we have

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measured for the wide operating rates

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and basically the input output

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loss answer that is 0 .2 % accuracy is

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input level only in the

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near the rapid operating point.

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As

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a conclusion of part two,

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measuring the losses of high efficiency devices as the

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difference of input output power is challenging from the uncertainty point of view.

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In the previous rated point,

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the loss alternative with typical testing

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laboratory equipment is still at a decent level

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and more accurate power analyzer exists.

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Lower losses will increase the uncertainty and may cause some

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challenges and require expensive testing equipment and

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on a wider operating range,

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especially in low load.

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Low operating frequency region that measurement

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accuracy can already be a challenge.

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As

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the last part of this study,

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we made an analytical

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model for frequency converter.

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that was used to follow the losses and to

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allow changing the IGBT module part for the device.

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This is the original case of the integrator

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loss distribution.

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Then,

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if we start to

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see all and use deeper components,

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we would have higher losses and oversize,

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we would have lower losses,

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and then we also included an estimation for

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the SIG module and put it

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dramatically better off course.

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also dramatically more expensive.

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Then,

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in order to evaluate

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the cost of the cooling,

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we make the thermal analysis and thermal

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resistance will determine

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the cost of the cooling and here the

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system cost is calculated

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with the assumption of

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cooling system was being inversely

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proportional to the cooling system thermal resistance and

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actually the cheapest case

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even though the losses are not very

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bad it has very quite bad thermal

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resistance and this probably would not

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be even possible in this case to be cooled

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and also this would become the other cheaper

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option, a lot more expensive

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for the cooling part and of course vice versa in the higher

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efficiency cases.

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In

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order to estimate the cost for the

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full BSD price we got a

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couple of responses from BSD

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manufacturers of

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what is the share of the cost for their products.

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So the ITVT module for both is

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10 % of the water VSD cost and the cooling system is

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also about 10 % of the cost.

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And here is then the cost

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of the VSD as the function of the

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module of choice and as you can see

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actually the original module

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is the most effective and the price

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increases in both ways.

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If we try to use cheaper

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components, a lot more

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cost in the cooling part and

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then the model rises,

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the determining factor here.

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And here

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is then one more picture

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as the price system energy

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consumption is in the

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Here,

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and the cost

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of reducing

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0 .8 % of energy consumption

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would,

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in

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this analyzed case,

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the BSD would be more than 20 % on

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the more expensive end.

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Here also,

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and even these kinds of couple

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of percent differences are hard

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for manufacturers to understand.

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This shows that

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Or at least in this case there seems to be a clear,

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clear,

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was natural cost and was

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minimal.

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So as overall

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conclusions,

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introducing new future efficiencies required regulations

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for VSDs would have only negligible benefits

19:52

S… Speaker 1 (Moja snimka 14)

and could even slow down adoption of VSDs due

19:56

S… Speaker 1 (Moja snimka 14)

to increased cost.

19:59

S… Speaker 1 (Moja snimka 14)

and had 25 % loss reduction from the current level.

20:03

S… Speaker 1 (Moja snimka 14)

Real BSDs could only be achieved

20:07

S… Speaker 1 (Moja snimka 14)

using silicon carbide technology and cause

20:12

S… Speaker 1 (Moja snimka 14)

significant loss increase.

20:13

S… Speaker 1 (Moja snimka 14)

Measurement uncertainty could become

20:18

S… Speaker 1 (Moja snimka 14)

a problem, making market surveillance very

20:22

S… Speaker 1 (Moja snimka 14)

difficult as an overall

20:26

S… Speaker 1 (Moja snimka 14)

comment.

20:28

S… Speaker 1 (Moja snimka 14)

there is no urgent need for tighter efficiency required

20:32

S… Speaker 1 (Moja snimka 14)

regulations for VSTs as there is

20:36

S… Speaker 1 (Moja snimka 14)

the, at least seems to be,

20:38

S… Speaker 1 (Moja snimka 14)

the natural cost minimum at a relatively high efficiency

20:43

S… Speaker 1 (Moja snimka 14)

as we already saw,

20:45

S… Speaker 1 (Moja snimka 14)

which leads to a sort of

20:49

S… Speaker 1 (Moja snimka 14)

self -regulation of the losses of the VSTs.

Moja snimka 14

सारांशः

ॐ ऐं ह्रीं