The Investment Case for Energy-Saving Texturing Machines: Calculating the Payback Period

        When chemical fiber mills evaluate an energy-saving texturing machine, the most common questions are: how much will this machine actually save each year, and how many years until the investment is recovered? Using the Rongteng energy-saving texturing machine as an example, this article presents a straightforward calculation method that mills can apply to their own data.

        The first step is to establish baseline data. Select an existing older machine and calculate its power consumption per unit of output over the past three months, expressed in kWh per ton of yarn. The varieties produced during those three months should be close to those planned for the new machine, so that the data is comparable.

        The second step is to obtain the expected power consumption of the new machine. Ask the manufacturer for measured consumption data for your target varieties, taking care to distinguish peak figures at mechanical speed from average figures under actual production conditions — calculations should be based on averages.

        The third step is to calculate annual savings. Take a mill producing 1,000 tons of yarn a year, a difference in unit consumption of 100 kWh per ton between old and new machines, and a local industrial electricity rate of 0.7 yuan per kWh: annual electricity saved is 1,000 tons × 100 kWh, or 100,000 kWh; annual savings on electricity costs are 100,000 × 0.7, or 70,000 yuan. Where varieties, output and electricity rates differ, substitute the figures using the same method.

        The fourth step is to add other benefit items. Beyond electricity costs, consider: the utilization gain from a lower ends-down rate, which amounts to indirect extra output; fewer downstream complaints thanks to improved package formation; the avoided repair costs of older equipment; and the support that improved product quality after upgrading gives to order acquisition. Some of these benefits can be quantified and some show up as general business improvement — include the quantifiable portion in the calculation first.

        The fifth step is to calculate the payback period. Subtract the residual value recovered from disposing of the old machine from the purchase price of the new one, then divide by the total annual savings to arrive at an approximate payback period. Most mills find, after running the numbers, that where the consumption gap and output reach a certain scale, the payback period falls within an acceptable range.

        Two final reminders. First, energy-saving figures must be based on measurement and like-for-like variety comparison — be wary of broad claims detached from process conditions. Second, a phased replacement strategy is worth considering: change one machine first to accumulate data, then decide the pace of what follows, which lowers investment risk.

        Getting the numbers straight is a basic discipline in equipment decisions. The method is not difficult; what is difficult is ensuring the data is genuine and the basis of calculation consistent.