Multi-objective optimisation of available solar energy inside a greenhouse in northern Iran

Optimal Solar Greenhouses Design Using Multiobjective Genetic Algorithm

“…Where  is the reflectance of the cover for three components of solar radiation and it is calculated assuming that canopy cover cannot absorb radiation so the absorptance of the polyethylene sheet is taking zero. Thus: 1   (24) According to the described solar radiation distribution in the greenhouse (Figure 4), transmitted solar radiation available in the greenhouse consists of two the part of radiation reaching the ground…”

“…More information on the basic and improved PSO algorithm can be found in Mellalou et al [23] investigated the amount of transmitted solar energy inside two common shapes of greenhouses including even-span and uneven-span for various orientations and dimensions in Morocco, the volume of the greenhouses kept the same in the calculations and the best configurations of dimensions and orientations were presented for maximum amount of solar radiation at winter. In a recent research, Mahjoob Karambasti et al [24] determined the optimal orientation and roof inclination angle of an even-span greenhouse with fixed floor area by employing a multiobjective optimization (MOGA) method and solar radiation distribution model for northern sections of Iran. It should be mentioned that apart from GA and PSO approaches, other nature-based and numerical algorithms, [25][26][27][28][29][30], [31][32][33], [34][35][36][37], such as gray wolf optimization, ant colony, neural networks and other types of natured based and numerical algorithms can be adopted for greenhouse optimal condition improvement.…”