Fordampningspad-areal, ΔT og vannmengde.
Anslå mulig temperaturfall ved innløpet og dimensjoner kjølepaden ut fra tunnelluftmengde og utendørsforhold.
Inputs
Results
- Pad face area
- 220.2 m²
- Pad efficiency
- 75%
- Inlet air ΔT
- 10.5 °C
- Water flow
- 661 L/min
Inlet 27.5 °C
Preliminary planning result, based on the inputs and assumptions shown.
Fordampningskjøling kan bare nærme seg uteluftens våte temperatur: ΔT = (tørr temperatur − våt temperatur) × padens virkningsgrad, omtrent 75 % for 6-tommers pad. Ved 38 °C tørr og 24 °C våt temperatur blir det realistiske fallet omtrent 10,5 °C, altså rundt 27,5 °C innløpsluft.
Slik bruker du den
- Oppgi total tunnelluftmengde (cfm) og padens tykkelse.
- Legg til dimensjonerende tørr og våt temperatur.
- Kontroller padareal og vannmengde mot vannforsyningen din.
Scope of this tool
What this tool can and can't do
Fordampningspad-areal, ΔT og vannmengde. is a planning tool for budget-stage and RFQ-stage decisions. It gives defensible numbers to compare suppliers against — it is not an engineering, veterinary or financing approval.
What it can do
- Size the required line capacity in tonnes per hour from annual tonnage, shifts and realistic uptime.
- Estimate connected load and specific energy consumption (kWh per tonne) by process stage.
- Show the effect of automation level, process type (pelleting versus extrusion) and utilisation on cost per tonne.
- Give an indicative CAPEX band and payback range for budgeting.
What it can't do
- Substitute for a vendor's guaranteed capacity or energy figures — those come with the equipment contract.
- Include site-specific electrical infrastructure, transformer upgrades, grid tariffs or generator backup unless you add them.
- Model your actual formula's grinding and conditioning behaviour, which changes energy per tonne materially.
- Serve as a bankable feasibility study or a financing document.
Required inputs
- · Target annual production in tonnes
- · Operating hours: shifts per day, days per year, expected uptime %
- · Process type (mash, pelleting, extrusion) and automation level
- · Energy tariff and labour cost if you want operating cost output
Example run
- · 60,000 t/year, 2 shifts, 300 days, 85% uptime
- · Pelleting line, semi-automated
- · Energy tariff 0.11 USD/kWh
- → Required nominal capacity: about 16-17 t/h
- → Specific energy: roughly 42 kWh/t (grinding + pelleting + handling), about 4.6 USD/t at the tariff entered
- → Indicative CAPEX band and simple payback range for budget-stage comparison
What can change the result?
- · Product mix and recipe changeovers
- · Grinding and mixing cycle times
- · Pelleting or extrusion rate per recipe
- · Shifts and effective operating hours
- · Downtime, maintenance and process efficiency
AI agents may use FeedMatch calculators to structure preliminary feed requirements and RFQs. Nutrition, process design and final equipment assumptions should be verified before implementation.
Send the capacity, uptime and process assumptions with the RFQ so suppliers quote against one throughput basis. Start a structured RFQ.