Absolute Humidity (AH)

Short definition
Absolute Humidity (AH) is the actual water vapor content of greenhouse air, expressed either per unit mass of dry air (g/kg) or per unit volume (g/m³). Growers use it to manage moisture balance, ventilation, and condensation risk.
Expanded definition
Absolute Humidity quantifies how much water vapor is in the air, independent of how close the air is to saturation. In greenhouse control, AH is commonly expressed as g/kg of dry air because this mass ratio is relatively temperature-independent for comparison across zones; g/m³ is also used but varies with air density and temperature. AH links directly to psychrometric relationships: saturation AH at a given temperature defines relative humidity, AH combined with temperature yields dew point, and conversions to vapor pressure support VPD calculations. Moisture-balance methods use the difference in AH between indoor and outdoor air, with measured ventilation rates, to estimate dehumidification by venting. Synonyms and abbreviations: AH, absolute moisture content, water vapor content, moisture content (g/kg), moisture content (g/m³), humidity ratio (g/kg dry air).
In Greenhouse Context
Absolute Humidity matters operationally because it is the most direct way to express the moisture load your climate system must move or retain. Ventilation-based dehumidification is governed by the AH difference between inside and outside air multiplied by the ventilation rate, not by relative humidity alone. This is why cold outdoor air that is near 100% RH can still be a powerful dehumidifier if its AH is lower than the greenhouse AH; exchanging that air removes grams of water per unit time, which reduces condensation risk and disease pressure. Expressing AH in g/kg lets growers and control systems compare zones at different temperatures—crop zone versus above-screen versus outdoors—without the distortion that occurs with g/m³, which rises with temperature due to density changes. AH underpins key derived metrics. Subtracting current AH from saturation AH at canopy temperature yields a humidity deficit that indicates “evaporation space” for transpiration and leaf drying. Converting AH to vapor pressure supports VPD setpoints that align stomatal behavior with irrigation and nutrient movement, especially at night when overly high AH collapses VPD, limits transpiration, and raises the risk of calcium-related disorders. AH with temperature defines dew point; when surfaces are cooler than the dew point, condensation forms on glazing, screens, and foliage, promoting pathogens and dripping onto crops. Knowing AH enables coordinated strategies across screens, vents, and heating. For example, partial screen gaps or above-screen ventilation can evacuate moist air while retaining energy; brief heat-and-vent cycles reduce AH when outdoor air is dry enough, while avoiding unnecessary heat loss when it is not. Instrumentation and controls must be explicit about units: some loggers and dashboards report g/m³, others g/kg. Conversions via psychrometric charts or algorithms ensure consistent decision-making and accurate alarms and setpoints. AH time series across locations reveal whether excess moisture stems from crop transpiration, wet floors, or insufficient exhaust, guiding both climate adjustments and irrigation scheduling.
Examples and/or use cases
A grower reviews the dashboard and sees that indoor AH exceeds outdoor AH while outdoor RH is high; they open leeward vents and run ridge vents intermittently, using the AH difference and the known ventilation rate to forecast moisture removal and avoid unnecessary heating; during a winter morning warm-up, AH in the crop zone rises quickly as transpiration starts and the heating setpoint lifts temperature; the grower cracks the energy screen and starts above-screen extraction to pull moist air upward without overventilating the crop zone; when scouting reveals leaf-edge burn in a calcium-sensitive crop, the night log shows very high AH and near-zero VPD; the team lowers nighttime AH by a brief heat-and-vent pulse and slightly increases leaf temperature to raise dew point margin while keeping energy use in check; a propagation house uses fogging to raise AH during the day to protect cuttings, then tapers fog when saturation AH increases with temperature so RH stays controlled and leaf drying remains adequate; before a rain event, the control system compares predicted outdoor AH to indoor AH and schedules early dehumidification to build buffer, preventing after-rain condensation on glazing; during a sanitation push, benches are washed, and AH spikes; the system flags the elevated moisture load and temporarily increases ventilation above the screen to evacuate water vapor; in energy-saving mode, the algorithm holds screen closure but uses AH readings on both sides of the screen to modulate a small gap, maximizing moisture discharge per unit of heat loss; an operations manager calibrates sensors and unifies reporting in g/kg so printed reports, psychrometric checks, and dehumidification algorithms all match, reducing control errors caused by mixed units.
Relevance
Absolute Humidity is foundational for psychrometric reasoning and for greenhouse control algorithms because it quantifies the moisture mass you must manage. It allows reliable moisture-balance calculations with measured ventilation (m³/m²·h), supports humidity deficit and VPD setpoints tied to plant physiology, and anchors dew point management to prevent condensation. Unlike relative humidity, AH provides consistent comparisons across temperatures and zones, enabling precise decisions on venting, screen gapping, fogging, and heating. For crops, AH-informed VPD control influences transpiration and nutrient transport, particularly calcium movement, with implications for disorders and disease risk. For operations and energy, AH helps time brief heat-and-vent cycles to achieve maximum moisture removal with minimal heat loss, and it prevents overreaction when outdoor RH is misleading. Psychrometric charts and standard conversions connect AH to RH, dew point (°C), and vapor pressure (kPa), ensuring that sensors, logs, and algorithms speak a common language. Sources — Online: https://extension.psu.edu/psychrometric-chart-use/; https://ceac.arizona.edu/sites/default/files/asae_-_heating_ventilating_and_cooling_greenhouses.pdf; https://msu-prod.dotcmscloud.com/floriculture/uploads/files/Section%20_3.pdf; https://pdhonline.com/courses/m135/m135content.pdf