L’éclairage dynamique permet aux serriculteurs de repousser les limites de l’efficacité énergétique

By Sollum’s R&D Team
Contenu disponible en anglais seulement.


In the last white paper, the concept of dynamic lighting was introduced and four key criteria that a truly dynamic solution needs to meet were identified:

  1. Output intensity that can be changed effortlessly;
  2. Light spectrum that can be modified and tailored endlessly;
  3. Programmable and reprogrammable lighting scenarios;
  4. Responsiveness to ambient light.

With these criteria in mind, some of the benefits of dynamic lighting were described – one of which was improved energy efficiency. In this white paper, the topic of energy efficiency will be discussed in greater detail by considering how a truly dynamic lighting solution can apply spectral compensation, in addition to intensity regulation, to preserve energy in a greenhouse.

Spectral compensation

Spectral compensation is only made possible using truly dynamic variable spectrum lighting systems such as Sollum Technologies’ smart LED solution. In the same way that dynamic lights can modulate their output intensity based on changes in ambient light, they can modulate their output spectra based on the ambient spectrum. The spectral makeup of sunlight varies based on weather and climate and the spectral needs of plants vary based on crop and growth stage. When spectral compensation is not available, growers can only attempt to accommodate the light quality needs of their crops by adjusting the intensity of their fixed spectrum supplemental lights.

For instance, if crops are lacking in one wavelength band but spectral compensation is not available, the overall intensity of the light will have to be raised, which increases the availability of all wavelengths in the light’s spectrum. From an energy standpoint, meeting a crop’s lighting needs using intensity control alone is inefficient because making a light brighter to fill gaps in spectra consumes unnecessary additional electricity. It also fails to consider how wavelength ratios impact plant photoreceptors and resulting growth patterns of response (Seguin, 2022). Using spectral compensation, wavelengths can be targeted specifically by adjusting a light’s spectral output in real time without an unnecessary increase elsewhere in the spectrum.

A result of employing spectral compensation in combination with intensity modulation is that the total DLI of a crop can be reduced during periods of peak electrical grid demand without interrupting the productivity of the crop. If precision lighting systems that offered dynamic compensation were adopted by all greenhouses, pressure from the sector on utility providers could be greatly reduced and barriers to new projects and expansions could be removed.

In the following sections, the concept of spectral compensation in conjunction with intensity modulation will be elaborated upon using detailed examples.

Total dynamic real-time sunlight compensation can only beachieved using advanced variable spectrum capable lighting.

Compensating for weather

An earlier white paper titled “Seasonal Variation in Natural Light” discusses in detail how sunlight changes both seasonally and daily in terms of both intensity and spectra. To recap, the major factors that contribute for variation in natural light over the course of a day or a year are solar elevation angle – i.e., how high the sun is in the sky and the resulting angle of incident sunlight on the Earth’s surface – and atmospheric composition which results in differential scattering of light by particles in the atmosphere (Seguin, 2022). Without spectral compensation, a smart lighting solution’s only manner of response to a cloudy day, for instance, would be to increase lighting intensity – thus consuming more electricity overall. However, the relationship between weather and natural light is complex and cannot be addressed by considering brightness alone.

Researchers Chiang et al., (2019) conducted an in-depth study that tracked all the spectral changes of natural light at a mid-latitudinal location over the course of an entire year. Their findings highlight the significant impacts of atmospheric weather events on the natural light available to plants and how weather and climate factors interact to further complicate light patterns. In a general sense, from sunrise to sunset, the researchers observed that blue light (400 – 500 nm) will decrease as the day progresses and green (500 – 600 nm), red (600 – 700 nm) and far-red (700 – 780 nm) wavelengths will increase (figure 1.)

Figure 1: Changes in light quantity and quality as fraction of the photosynthetic photon flux density (PPFD) during a diurnal course. (A) Total PPFD; (B) blue light fraction (from 400 to 500 nm); (C) green light fraction (from 500 to 600 nm); (D) red light fraction (from 600 to 700 nm). (E) Red to far-red (R:FR) ratio. The values are from a single, representative day with varying weather conditions with clear sky conditions until 14:15 (left hand side of the dotted vertical line) and partially overcast conditions during afternoon and evening (right hand side of the dotted vertical line). The data were recorded on 25 November 2018. (Chiang et al., (2019)

They found that the solar elevation angle and weather events together had compounding effects. For instance, at low solar elevation angles – i.e., during sunrise or sunset – the red to far-red light ratio maybe 0.8 on a cloudy day and 1.3 during clear sky conditions. At solar elevation angles lower than 20°, atmospheric weather conditions will strongly impact available red and blue wavelengths in the light spectra such that a significantly higher proportion of red light and a lower proportion of blue light will result. During mid-day – at higher solar elevation angles – the opposite trend was observed but to a lesser degree with the proportion of blue light increasing marginally with increasing cloud cover, and the proportion of red light decreasing marginally.

A truly dynamic lighting solution – like that of Sollum Technologies’ – can address weather variation by adjusting light spectra as well as light intensity in immediate response to changes in ambient light. For other smart lighting systems, mimicking clear sky conditions on a cloudy day can only be attempted by increasing brightness – thus consuming additional electricity that may not be necessary. Precise sunlight compensation fine-tuning both the spectrum and intensity leads to energy savings.

The following graphic provides an example of dynamic compensation as accomplished by one of Sollum Technologies’ smart LED grow light. In this example, the following light recipe is precisely and accurately maintained thanks to dynamic compensation: LED lights turn on early in the morning – before sunrise – and recreate the full sunlight spectrum including far-red (the grower may choose to include far-red for several reasons such as to promote shoot elongation during vegetative growth in crops). As the Sun rises, not only is more photosynthetically active radiation (PAR) available to the plants, but more far-red light is available as well, and the ratio of blue to red light decreases. Responding in real time, the intensity of the LED lights is reduced, far-red is deactivated and the fixture’s blue:red wavelength ratio output is increased. As the Sun sets, the intensity of the LEDs rises, the spectrum shifts accordingly and far-red is reactivated. This is only one possible light recipe out of an infinite number that may be employed using Sollum Technologies’ smart LED grow light solution.

Figure 2: Dynamic light compensation provided by Sollum Technologies smart LED grow light solution over the course of a day.

Precise sunlight compensation fine-tuning both the spectrumand intensity components leads to energy savings.

Albright, L., Both, A. J., Chiu, A. (2000). Controlling greenhouse light to a consistent  daily  integral. Transactions of the ASAE, 43, 421–431. https://doi.org/10.13031/2013.2721

Chang, C.-L., Hong, G.-F., Li, Y.-L. (2014). A supplementary lighting and regulatory scheme using a multi- wavelength light emitting diode module for greenhouse application. Lighting Research & Technology, 46(5), 548–566. https://doi.org/10.1177/1477153513495403

Chiang, C., Olsen, J. E., Basler, D., Bånkestad, D., Hoch, G. (2019). Latitude and Weather Influences on Sun Light Quality and the Relationship to Tree Growth. Forests, 10(8), 610. https://doi.org/10.3390/f10080610

Hydro Quebec. (n.d.). Additional Electricity Option for Photosynthetic Lighting or Space Heating to Raise Crops. Retrieved March 27, 2022, from https://www.hydroquebec.com/residential/customer-space/rates/additional-electricity-option-crops.html

Elkins, C., Iersel, M. W. van. (2020). Longer Photoperiods with the Same Daily Light Integral Improve Growth of Rudbeckia Seedlings in a Greenhouse. HortScience,55(10),1676–1682. https://doi.org/10.21273/HORTSCI15200–20

Katzin, D., Marcelis, L. F. M., van Mourik, S. (2021). Energy savings in greenhouses by transition from high- pressure sodium to LED lighting. Applied Energy, 281, 116019. https://doi.org/10.1016/j.apenergy.2020.116019

Kotilainen, T., Aphalo, PJ., Brelsford, CC., Böök, H., Devraj, S., Heikkilä, A., … Robson, TM. (2020). Patterns in the spectral composition of sunlight and biologically meaningful spectral photon ratios as affected by atmospheric factors. Agricultural and Forest Meteorology, 291, 108041. https://doi.org/10.1016/j.agrformet.2020.108041

Posterity Group. (2019). Report of Findings: Greenhouse Energy Profile Study (p. 170). Ottawa, Ontario: Independent Electricity System Operator. Retrieved from https://www.ieso.ca/-/media/Files/IESO/Document-Library/research/Greenhouse-Energy-Profile-Study.ashx

Poulet, L., Massa, G., Morrow, R., Bourget, C., Wheeler, R., Mitchell, C. (2014). Significant Reductions in Energy for Plant-Growth Lighting in Space using Targeted LED Lighting and

Quinn, A., Durisin, M., Pals, F. (2021, September 30). Gas Crisis Hits Food as Giant Dutch Greenhouses Go Dark. Bloomberg.Com. Retrieved from https://www.bloomberg.com/news/articles/2021-09-30/your-tomatoes-may-cost-more-as-gas-prices-hit-dutch-greenhouses

Spectral Manipulation. Life Sciences in Space Research, 2. https://doi.org/10.1016/j.lssr.2014.06.002

Seguin, R. (2022). Photoreceptors and Red/Far-red Impacts. Sollum Technologies. Seguin, R. (2022). Seasonal Variation in Natural Light. Sollum Technologies.

Shen, Y., Wei, R., Xu, L. (2018). Energy Consumption Prediction of a Greenhouse and Optimization of Daily Average Temperature. Energies, 11(65), 1–17. https://doi.org/10.3390

Singh, D., Basu, C., Meinhardt-Wollweber, M., Roth, B. (2015). LEDs for energy efficient greenhouse lighting. Renewable and Sustainable Energy Reviews, 49, 139–147. https://doi.org/10.1016/j.rser.2015.04.117

Watson, R. T., Boudreau, M.-C., van Iersel, M. W. (2018). Simulation of greenhouse energy use: an application of energy informatics. Energy Informatics, 1(1), 1–14. https://doi.org/10.1007/s42162-018-0005-7

Xu, Y., Chang, Y., Chen, G., Lin, H. (2016). The research on LED supplementary lighting system for plants. Optik, 127(18), 7193–7201. https://doi.org/10.1016/j.ijleo.2016.05.056

Partager cette étude de cas

Nous joindre

Producteur? Investisseur? Centre de recherche?
Nous joindre