Comparative study of geometrical configuration at the thermal performances of an agricultural greenhouse

Lalmi, Djemoui; Bensaha, Hocine; Benseddik, A.; Zarrit, Ridha; Guermoui, Mawloud; Rabehi, Abdelaziz; Bouzaher, Mohamed Taher

doi:10.1051/e3sconf/20186100003

Cited by 3 publications

(1 citation statement)

References 12 publications

(13 reference statements)

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“…For the start and end of the air conditioning period: Note that the results in the two Tables 3 and 4 are comparable with each other and coincide with that of RETS screen, the differences either less or more because of the influence of global warming which has become a reality in Algeria [15][16][17].…”

Section: Calculation Of the Djc And Djfsupporting

confidence: 69%

Estimation of Real Seasons in a Semi-Arid Region, Ghardaia, Case Study

Djeffal¹,

Lalmi²,

Nacer³

et al. 2021

IJSDP

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For any new applicable and profitable investment in the thermal field of any region, we aim to eliminate or renovate conventional heating and air conditioning systems with new systems, which will work with new energies or renewable. First, you need to know the climate characteristics of these regions. In this study, we determine the diagnosis of the climate of arid and semi-arid regions, taking Ghardaï a as an example. These concerns air conditioning, heating, cold, ventilation, thermal water, for all this, we use the data from the two weather stations located on the Terrace of our research unit applied to renewable energies (URAER), Ghardaï a, for the last five years (2012)(2013)(2014)(2015)(2016), to calculate the day degrees heating and air conditioning (DJC and DJF) and the obtained results have been compared with the RET Screen motor from (1980_2006). Our approach allows us to discover a simple graphic method to characterize the seasons of Ghardaï a; applicable for any region around the world. In addition, it allows the real determination of the hygrothermal comfort of the region as well as the thermal characteristics of the MCPs adaptable to the Saharan climate.

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Section: Calculation Of the Djc And Djfsupporting

confidence: 69%

Estimation of Real Seasons in a Semi-Arid Region, Ghardaia, Case Study

Djeffal¹,

Lalmi²,

Nacer³

et al. 2021

IJSDP

Self Cite

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Evaluation and estimation of the inside greenhouse temperature, numerical study with thermal and optical aspect

Lalmi

Benseddik

Bensaha

et al. 2019

International Journal of Ambient Energy

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New Method for Solving the Inverse Thermal Conduction Problem (θ-Scheme Combined with CG Method under Strong Wolfe Line Search)

et al. 2023

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Most thermal researchers have solved thermal conduction problems (inverse or direct) using several different methods. These include the usual discretization methods, conventional and special estimation methods, in addition to simple synchronous gradient methods such as finite elements, including finite and special quantitative methods. Quantities found through the finite difference methods, i.e., explicit, implicit or Crank–Nicolson scheme method, have also been adopted. These methods offer many disadvantages, depending on the different cases; when the solutions converge, limited range stability conditions. Accordingly, in this paper, a new general outline of the thermal conduction phenomenon, called (θ-scheme), as well as a gradient conjugate method that includes strong Wolfe conditions has been used. This approach is the most useful, both because of its accuracy (16 decimal points of importance) and the speed of its solutions and convergence; by addressing unfavorable adverse problems and stability conditions, it can also have wide applications. In this paper, we applied two approaches for the control of the boundary conditions: constant and variable. The θ-scheme method has rarely been used in the thermal field, though it is unconditionally more stable for θ∈ [0.5, 1]. The simulation was carried out using Matlab software.

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Comparative study of geometrical configuration at the thermal performances of an agricultural greenhouse

Cited by 3 publications

References 12 publications

Estimation of Real Seasons in a Semi-Arid Region, Ghardaia, Case Study

Estimation of Real Seasons in a Semi-Arid Region, Ghardaia, Case Study

Evaluation and estimation of the inside greenhouse temperature, numerical study with thermal and optical aspect

New Method for Solving the Inverse Thermal Conduction Problem (θ-Scheme Combined with CG Method under Strong Wolfe Line Search)

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