Convex parameter estimator for grey-box models, applied to characterise heat flows in greenhouses

Ridder, Fjo De; Roy, Jeroen van; Vanlommel, Wendy; Calenberge, Bart Van; Vliex, Maarten; Win, Jonas De; Schutter, Bert De; Binnemans, Simon; Pauw, Margot De

doi:10.1016/j.biosystemseng.2019.12.009

Cited by 4 publications

(2 citation statements)

References 17 publications

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“…At the same time, for several recent studies (Ahamed et al, 2018a;C. Chen et al, 2019;De Ridder et al, 2020;Sethi, 2019) we were not able to identify whether they were based on previous greenhouse models, and if so, on which.…”

Section: Inheritance Of Process-based Greenhouse Climate Modelsmentioning

confidence: 89%

“…More recently, lighting has become more prevalent in greenhouse modelling, including the emergence of models aiming to describe the influence of LEDs. Among these, some models focused only on how LEDs enhance photosynthesis (Xu et al, 2018b(Xu et al, , 2019, while others also took into account the influence of LEDs on the greenhouse air (De Ridder et al, 2020;Righini et al, 2020).…”

Section: Exploring the Potentials Of Leds In Greenhouse: Objectives And Approach Of This Thesismentioning

confidence: 99%

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

Katzin¹

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Chapter 2 investigates the discipline of process-based greenhouse modelling. The chapter shows that a considerable number of greenhouse models are being published, and sets out to understand the reasons for the existence of this multitude of models. In Section 2.2, substantial background on the concept of process-based greenhouse modelling is provided, and a general structure of these models is proposed. Subsequently, modelling studies published between 2018 and 2020 are analyzed according to this general structure. The studies are categorized according to their objectives, types of greenhouse they describe, and equipment they consider, and a model inheritance chart is presented, showing how current models are based on earlier works. Moreover, a comparison of modelling validation studies is performed. Based on this analysis, possible reasons for the abundance of greenhouse models are suggested, including a lack of model transparency and code availability, and a belief that model development is in itself a valuable research goal. The chapter ends with several recommendations for the future advancement of the discipline. These include promoting model transparency and availability of source code, and establishing shared datasets and evaluation benchmarks.Chapter 3 presents GreenLight, a process-based model for a greenhouse with a tomato crop, which describes the influence of HPS lamps and LEDs on the climate, crop, and energy use. In this chapter, GreenLight's performance is evaluated by comparing model predictions against data from two greenhouse compartments, one with HPS lamps and one with LEDs. The model is found to have a relative error in predictions of climate and energy use in the range of 1-12%. In order to promote transparency, the model is offered in an open source format at https://github.com/davkat1/GreenLight. In this way, the model is made available for inspection and extension by others.Chapter 4 uses GreenLight to predict the influence of replacing HPS lamps by LEDs in a greenhouse. A wide range of scenarios is considered, including varying climates, from subtropical China to arctic Sweden, and multiple settings for indoor temperature, lamp intensity, lighting duration, and insulation. In all scenarios, LEDs are found to reduce the energy demand for lighting by 40%, but to increase the demand for heating. This results in the total energy saving by transition to LEDs to be in the range of 10-25% for the majority of scenarios considered. An important factor influencing how much energy can be saved by a transition to LEDs is found to be the ratio between the lighting and heating demand of the greenhouse before the transition. Summary xiiiChapter 5 presents a novel concept for greenhouse climate control: heating a greenhouse by light. Considering the observation that all lamps provide heat as well as light, this chapter suggests that illuminating at high light intensities could eliminate the need to heat the greenhouse by the heating system. This approach could potentially be very efficient, as it utili...

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Section: Inheritance Of Process-based Greenhouse Climate Modelsmentioning

confidence: 89%

Section: Exploring the Potentials Of Leds In Greenhouse: Objectives And Approach Of This Thesismentioning

confidence: 99%

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

Katzin¹

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Process-based greenhouse climate models: Genealogy, current status, and future directions

Katzin

Henten

Mourik

2022

Agricultural Systems

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Optimisation of energy-efficient greenhouses based on an integrated energy demand-yield production model

Golzar

Heeren

Hellweg

et al. 2021

Biosystems Engineering

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Convex parameter estimator for grey-box models, applied to characterise heat flows in greenhouses

Cited by 4 publications

References 17 publications

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

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

Process-based greenhouse climate models: Genealogy, current status, and future directions

Optimisation of energy-efficient greenhouses based on an integrated energy demand-yield production model

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