The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/14575965

Katzin, David; Marcelis, Leo F. M.; van Henten, Eldert; van Mourik, Simon (2021): Data from: Energy saving by LED lighting in greenhouses: a process-based modelling approach, Chapter 5. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/14575965.v1

Dataset

• Environmentally Sustainable Plant Production

Crop, Crop model, Energy saving, Energy use efficiency, Greenhouse, Greenhouse climate, Greenhouse lighting, Greenhouse model, HPS, LED, Model, Tomato, Tomato model

CC BY-SA 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by David Katzin , Leo F. M. Marcelis , Eldert van Henten , Simon van Mourik

The data contains MATLAB files that are the result of simulations representing the climate, actuator status, and energy use of greenhouses throughout one growing year. The greenhouses considered were Venlo type 4 hectare greenhouses with a tomato crop, with various settings for the lighting and heat harvesting systems. For illuminated greenhouses, the simulated season was 350 days long, from September 27 until September 11, during a typical meteorological year, which is an artificial weather year representing a standard year for modelling and energy calculations. For unilluminated greenhouses, the season was 350 days long, from December 16 to November 30. In most scenarios, a heat harvesting system - which extracts energy from the greenhouse when it is warm and releases this energy back to the greenhouse when it is cold - was also considered.

• 2021-06-08 first online, published, posted

4TU.ResearchData

txt m (MATLAB script) mat (MATLAB data)

Energy saving by LED lighting in greenhouses: a process-based modelling approach

• https://github.com/davkat1/GreenLight

• “LED it be 50%” Perspectief program number 14217, supported by the Netherlands Organization for Scientific Research - Domain Applied and Engineering Sciences (NWO-AES)

Farm Technology Group, Wageningen University & Research
Horticulture and Product Physiology Group, Wageningen University & Research