Specification

Semi-closed greenhouse

1. Semi-closed greenhouse modelling in Hortinergy

The semi-closed greenhouse model includes :

  • Climate control
  • Equipments
  • Regulation
diagram semi-closed greenhouse

The equipments below can be implemented in the semi-closed model :

  • Air ventilation in tubes, including electricity energy consumption,
  • Controlled external ventilation for dehumidification,
  • Air recirculation in tubes,
  • Adiabatic cooling with fog system,
  • Adiabatic cooling with pad system including dimensioning
Hortinergy form

Crop evapotranspiration is modelled with temperature, relative humidity, solar radiation, inner air velocity as well as type and crop development.

2.Outputs of semi-closed greenhouse model

Hortinergy provides a comprehensive analysis of the :

  • Hourly inner climate in the semi-closed
  • Energy, electricity and water consumption

Here are the results of a semi-closed greenhouse located in South France in a hot and dry climate. Cooling and dehumidification are performed by a pad.

Heating temperature set

Cooling temperature set : 26°C

Day and night variation

Inner climate in semi-closed greenhouse

Results are temperature, relative humidity, hydric deficit and solar radiation on hourly basis in the semi-closed greenhouse.

The greenhouse is located in South of France and the results are provided for an average day in July.

Results show that the inner temperature is never above 26°C and that hydric deficit is between 2 and 4.5 g/ kg da.

graphic hydric deficit

Results also provides the external air flow, water flow and evapotranspiration.

During night time and morning, external air is blow in the semi-closed greenhouse to dehumidify.

During day time, pad is activated to cool

Hortinergy is also presenting an annual overview, monthly synthesis and hourly data of heating, electricity and water consumption.

Annual overview of the energy consumption in this type of greenhouse

heating electricity and water
consumption per unit

Monthly synthesis of the energy consumption in the greenhouse

graphic monthly energy consumption

Hourly data of the energy consumption in the semi-closed greenhouse

hourly heating demand january

Model is being under validation with 2 semi-closed greenhouses located in CTIFL in Carquefou (wet climate) and Balandran(dry climate) in France. Results will be presented in June 2019 at Greensys.

Greenhouse climate control and risks management

Hortinergy is an on-line modelling software allowing to predict inner climate and to calculate energy consumption in horticultural greenhouses anywhere worldwide.

User can set climate control with :

  • Temperature : day / night,
  • Humidity : relative humidity / hydric deficit; min/max,
  • Solar radiation : regulation of shading and black out screen.

Hortinergy model predicts the inner climate on hourly basis: temperature, relative humidity, hydric deficit and solar radiation.

Based on these results, Hortinergy provides an analysis of climate control :

  • Daily correlation between internal solar radiation and average indoor temperature.
  • Correlation between indoor temperature and hydric deficit.

1. Daily correlation between internal solar radiation and average indoor temperature

The following chart shows daily correlation between internal solar radiation and average indoor temperature the production period.
It helps to analyse climate control by assessing if average 24h temperature is not too low or too high according to solar radiation.

2. Correlation between indoor temperature and hydric deficit

Climate control is analysed by several correlations between indoor temperature and hydric deficit :

  • average temperature and hydric deficit during daytime
  • indoor climate during daytime in January
  • indoor climate during daytime in July
  • daily lowest and highest temperature

Average temperature and hydric deficit during daytime.

The graph shows average temperature and hydric deficit during daytime for each day of cultivation
period.

Indoor climate during daytime in January

The graph analyses hourly correlation between indoor temperature and hydric deficit during daytime in January. User can assess if hydric is not too low during morning and evening period.

Indoor climate during daytime in July

The graph analyses hourly correlation between indoor temperature and hydric deficit during daytime in July. User can assess if hydric is not too low during morning or too high when temperature and solar radiation rise.

Daily lowest and highest temperature

The hydric deficit correlated with daily lowest and highest temperature is also useful to improve climate control.

User can optimise the climate control and reduce risk based on these analyses.

Assimilation light (LED, HPS)

Schema LED

Assimilation light (LED, HPS) can be modelled with Hortinergy Hortinergy models:

– assimilation lighting required according to regulation setpoints, external solar radiation and transparent cover,

– electricity required – regulation setpoints: Day Light Integral (DLI) or lighting hours,

– heat and evapotranspiration generated.

 

Calculation are performed on hourly basis during one year.

This will allow you to know precisely your electricity consumption by taking into account the different parameters of your LED (……).

ASSIMILATION LIGHT MODELLING IN HORTINERGY

For more information, do not hesitate to contact us

Closed greenhouse

Closed greenhouse can be modelled on Hortinergy, and this can be done anywhere worldwide for most of crops !

Hortinergy calculate the sensible and latent cooling needs to control the greenhouse inner climate (temperature, humidity)! With these calculations, you will find a monthly summary and hourly values for a typical year.

Inputs are GPS location, crop, greenhouse specification, equipment and climate setpoints.

Closed greenhouse

For more information, do not hesitate to contact us.

Greenhouse Gas Emissions

Greenhouse gas emissions (GHG) of vegetable production under greenhouse can be now estimated with Hortinergy.

Hortinergy models:

  • g CO2/m²
  • g CO2/kg product

This will allow you to estimate your greenhouse gas emissions by taking account different parameters as:

  • Embodied energy of the greenhouse structure
  • Heating and cooling
  • Liquid CO2
  • Electricity
  • Nutriments
  • Substrate
  • Transport

A quick and simple way to estimate your emissions using approved scientific methods. The methodology is developed by CTIFL.

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