toolbox
Home / Energy & Sustainability / Recycling Program Flow Requirements Estimator

Recycling Program Flow Requirements Estimator

The Recycling Program Flow Requirements Estimator translates annual tonnage into the design flow a recycling program may need to handle during operating periods. Instead of dividing annual tons by every calendar day, it uses the actual number of operating days and processing hours, then applies a peak factor to represent short-term surges above the average. This is useful when checking the nominal capacity of sorting, baling, and transfer equipment, estimating staffing windows, or comparing alternative schedules. The peak factor is deliberately user-supplied because delivery patterns, seasonal variation, batch operation, and storage buffers can make peak conditions very site-specific. The main result is peak tons per hour, with average daily and hourly rates shown alongside it. The calculation is a throughput-sizing screen; equipment selection should also consider downtime, material characteristics, redundancy, and manufacturer performance curves.

Design flow inputs

tons/yr
days/yr
hr/day
× avg
Result
—
required peak processing flow
Average daily flow—
Average hourly flow—
Peak hourly flow—

1. Enter annual throughput
Provide the total tons expected to move through the recycling program in one year.

2. Enter operating days
Count the days per year on which material is actually processed, not simply received or stored.

3. Set processing hours
Use productive processing hours per operating day after routine breaks or planned nonprocessing periods if appropriate.

4. Choose a peak factor
Enter the expected multiple of average hourly flow during high-load periods. A factor of 1.50 means peak flow is modeled at 150% of average.

5. Review the design flow
Use peak tons per hour as the screening capacity and compare it with average daily and hourly throughput.

Average daily flow = Annual tons / Operating days Average hourly flow = Average daily flow / Processing hours per day Peak hourly flow = Average hourly flow × Peak factor

Annual throughput is in tons/year, operating days are days/year, and processing hours are hours/day. The units reduce to tons/hour. The model assumes annual tonnage is distributed across the stated operating schedule before the peak multiplier is applied.

What the result means

The main result is the modeled maximum hourly throughput to use as a preliminary capacity target under the chosen peak factor.

Shorter instantaneous surges may exceed this value, and effective equipment capacity can be lower than nameplate capacity because of downtime, contamination, moisture, maintenance, or changeovers.

Given: 24,000 tons/year, 312 operating days/year, 12 processing hours/day, and a 1.50 peak factor.

Calculation:
Average daily flow = 24,000 / 312 = 76.92 tons/day.
Average hourly flow = 76.92 / 12 = 6.41 tons/hour.
Peak hourly flow = 6.41 × 1.50 = 9.62 tons/hour.

Result: The screening peak flow requirement is 9.62 tons/hour.

Interpretation: A process line with effective capacity below this figure may need added operating time, buffering, or a different peak-management strategy.

Why use operating days instead of 365 days?

The equipment must process material during the days it actually runs. Dividing by all calendar days would understate the average flow whenever the process is idle on weekends, holidays, or seasonal shutdowns.

How should I choose the peak factor?

Use receiving records, hourly scale data, production logs, or a design scenario that reflects your busiest normal periods. A higher factor provides more peak capacity but should not be chosen without an operational basis.

Can storage reduce the required peak processing flow?

Yes. Sufficient buffering can smooth short delivery peaks before material reaches processing equipment. In that case, base the peak factor on the flow presented to the process line rather than raw truck-arrival peaks.

Is nameplate equipment capacity enough for comparison?

Not always. Effective capacity may be lower after accounting for downtime, feed variability, cleaning, maintenance, and changeovers, so compare the result with realistic sustained capacity.

How do I model a second shift?

Increase processing hours per day if the second shift adds productive hours without changing annual tons or operating days. The average hourly requirement will fall because the same tonnage is spread over more hours.