#heating

Wood-pellet heating maths as an API, computed locally and deterministically — the consumption, heat-output and storage numbers a homeowner, installer or heating planner sizes a pellet system by. The consumption endpoint gives the pellets to meet a heat demand = the demand ÷ the usable heat per kilo, where usable = the calorific value × the boiler efficiency: ENplus wood pellets hold about 4.8 kWh/kg and a modern pellet boiler runs ~90 %, so each kilo delivers roughly 4.3 kWh — a 10,000 kWh annual demand then needs about 2.3 tonnes of pellets, around 154 fifteen-kilo bags or a bulk delivery. The heat-output endpoint inverts it: the usable heat from a mass = mass × calorific value × efficiency, so a tonne of ENplus pellets is about 4,800 kWh gross of which a 90 % boiler delivers ~4,320 kWh — the equivalent of roughly 480 litres of heating oil or 432 m³ of natural gas. The storage-volume endpoint sizes the hopper or silo: storage = the pellet mass ÷ the bulk (poured) density, about 650 kg/m³ for ENplus, so 2.3 tonnes fill roughly 3.6 m³ — size the store for the full delivery plus headroom for the fill pipe. Everything is computed locally and deterministically, so it is instant and private. Ideal for pellet-heating and installer tools, home-energy and quoting apps, and renewable-heat calculators. Pure local computation — no key, no third-party service, instant. Uses standard ENplus figures — set your own for a specific pellet grade. 3 compute endpoints. For cordwood use a firewood API; for propane/LPG a propane API.

api.oanor.com/pellet-api

Radiant-Floor- und Hydronic-Heizungsmathematik als API, lokal und deterministisch berechnet – die Output-, Rohr- und Durchflusszahlen, mit denen ein Installateur oder Heimwerker einen warmen Fußboden plant. Der Output-Endpunkt gibt die Wärme aus, die ein warmer Fußboden abgibt: etwa 2 BTU/h pro Quadratfuß für jedes °F, das die Bodenoberfläche wärmer als der Raum ist, also liefert ein 85 °F-Boden in einem 70 °F-Raum etwa 30 BTU/h/ft² – etwa 9.000 BTU/h über 300 ft², die Komfortgrenze, da der Boden bei ~85 °F gehalten wird. Der Rohr-Endpunkt gibt das Rohr und die Schleifen für eine Fläche bei einem Abstand an: Feldrohr = Fläche × 12 ÷ Abstand, also benötigt 300 ft² bei 9-Zoll-Abstand 400 Fuß Rohr, aufgeteilt in Schleifen unter ~300 Fuß (zwei 200-Fuß-Schleifen), damit die Pumpe sie durchdrücken kann. Der Durchfluss-Endpunkt gibt die Schleifendurchflussrate für eine Heizlast an, GPM = Last ÷ (500 × ΔT), wobei 500 die Wasserkonstante und ΔT die Vorlauf-Rücklauf-Differenz ist – 9.000 BTU/h bei einer ΔT von 20 °F benötigt 0,9 GPM. Alles wird lokal und deterministisch berechnet, daher ist es sofort und privat. Ideal für Fußbodenheizungs- und Sanitäranwendungen, Hydronic-Design- und PEX-Layout-Tools, HVAC-Rechner für Auftragnehmer und DIY-Bau-Seiten. Reine lokale Berechnung – kein Key, kein Drittanbieter-Service, sofort. Live, nichts gespeichert. 3 Compute-Endpunkte. Schätzungen – mit einer vollständigen Wärmeverlustberechnung überprüfen. Für die Gebäudelast eine HVAC-API verwenden; für die Rohrgeschwindigkeit eine Durchflussraten-API.

api.oanor.com/radiant-api

Swimming-pool and spa heating maths as an API, computed locally and deterministically — the thermodynamics a pool owner, builder or service tech sizes a heater and budgets a heat-up with. The heat-time endpoint gives the hours to warm a body of water: energy = gallons × 8.34 lb/gal × the temperature rise in °F (that many BTU), divided by the heater's BTU/hr output — raising 20,000 gallons by 10 °F is 1,668,000 BTU, about 4.2 hours on a 400,000 BTU/hr gas heater before surface losses. The heater-size endpoint inverts it: the output you need to hit a temperature rise within a target time, so the same job in 24 hours wants only about 69,500 BTU/hr. The heat-pump endpoint gives a heat pump's electricity and cost — kWh = thermal BTU ÷ 3412 ÷ the COP (5–6 for pool units in mild weather) — so that 1,668,000 BTU costs about 89 kWh at a COP of 5.5, a fraction of resistance heat. Pass the temperature rise directly, or a current and target temperature. Everything is computed locally and deterministically, so it is instant and private. Ideal for pool-builder and service apps, heater-sizing and quote tools, spa and hot-tub calculators, and energy-comparison sites. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 compute endpoints. Ideal figures — add for surface and wind losses. For pool chemistry use a pool-chemistry API.

api.oanor.com/poolheat-api

Heating and cooling degree-day maths as an API, computed locally and deterministically. The daily endpoint computes the heating degree days, HDD = max(0, base − mean), and the cooling degree days, CDD = max(0, mean − base), for a single day from a base temperature and the daily mean — or the minimum and maximum, since the mean is taken as their average. The period endpoint sums the degree days over a list of daily temperatures (means or min/max pairs), returning the total HDD and CDD, the count of heating and cooling days and the average temperature — the standard way to characterise a heating or cooling season. The energy endpoint turns degree days into an energy estimate: the heat delivered is UA·DD·24/1000 kWh from the building heat-loss coefficient, the fuel or electricity input is that divided by the boiler efficiency (or a heat-pump COP), and — with an energy price — the cost. Everything is computed locally and deterministically, so it is instant and private. Ideal for building-energy, HVAC and facilities tools, heating-bill and fuel-budget estimation, weather-normalisation and energy-benchmarking apps, and engineering education. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This is degree-day demand estimation; for U-value and heat-loss fabric calculations use a U-value API.

api.oanor.com/degreeday-api

Matemáticas de dimensionamiento de HVAC como API, calculadas local y determinísticamente a partir de factores estándar de regla general. El endpoint de refrigeración estima la carga del aire acondicionado para una habitación — en BTU por hora, toneladas de refrigeración y kilovatios — a partir del área del piso (en pies cuadrados o metros, o largo × ancho) usando una línea base de aproximadamente 20 BTU/h por pie cuadrado, con ajustes por el número de ocupantes, una cocina, exposición solar y altura del techo. El endpoint de calefacción estima la carga de calefacción a partir del área y una zona climática (templada a muy fría) o un BTU personalizado por pie cuadrado. El endpoint de conversión convierte entre BTU por hora, toneladas de refrigeración, kilovatios y vatios (una tonelada = 12,000 BTU/h ≈ 3.517 kW). Todo se calcula local y determinísticamente, por lo que es instantáneo y privado. Estas son estimaciones de regla general al estilo EnergyStar — se recomienda un cálculo de carga Manual J adecuado que tenga en cuenta el aislamiento, las ventanas y el clima local para una instalación real. Ideal para herramientas de HVAC y mejoras del hogar, guías de dimensionamiento de aires acondicionados y calefactores, aplicaciones de hogar inteligente y energía, y cotizaciones para contratistas. Cálculo local puro — sin clave, sin servicio de terceros, instantáneo. En vivo, nada almacenado. 3 endpoints. Esto es dimensionamiento de HVAC; para el costo de funcionamiento de electrodomésticos, use una API de costo de energía.

api.oanor.com/hvac-api

Firewood maths as an API, computed locally and deterministically. The volume endpoint turns a wood-stack's length, height and depth (in feet or metres) into its volume in cubic feet and cubic metres, full cords, face cords and steres — a full cord being 128 cubic feet (a 4×4×8 ft stack) and a face cord being an 8×4 ft stack by the piece (log) length. The convert endpoint converts a quantity between cords, face cords, steres, cubic metres and cubic feet, using the piece length for the face-cord relationship. The heat endpoint estimates the heating value of a number of cords by wood species — returning the millions of BTU and the equivalent gallons of heating oil, therms of natural gas and kilowatt-hours — from a built-in table of typical seasoned-wood values (oak, hickory, maple, ash, birch, pine and more) or a custom figure. Everything is computed locally and deterministically, so it is instant and private. Heat values are typical seasoned figures (around 20% moisture) and vary with species, dryness and stove efficiency. Ideal for firewood sellers and delivery tools, heating and homestead apps, and forestry and woodlot calculators. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This is firewood volume and energy; for general volume or unit conversion use a unit-conversion API.

api.oanor.com/firewood-api