作者: Farzin Golzar , Niko Heeren , Stefanie Hellweg , Ramin Roshandel
DOI: 10.1016/J.BIOSYSTEMSENG.2020.11.012
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摘要: The aim of this paper is to develop a simulation framework minimise the cost associated with commercial greenhouse yields (production cost). Greenhouse energy demand and yield production models are coupled model investigate interaction between consumption costs benefits. defined as an optimisation problem determine optimal values decision variables (e.g. cover material, heating cooling technology, inside temperature relative humidity set points, plant density, etc.), which result in minimum objective function. results show that integrated demand-crop outperforms “classical approach” separate where not explicitly modelled but only considered by constraints warranting good growing conditions. In case tomato Iran, financial environmental impact producing 1 kg based on demand-yield were 49% 29% lower than energy-consumption alone. Moreover, fuel prices investigated use proposed framework. Considering real instead current subsidised Iranian study, 70% 19% climate change impacts could be eliminated while increasing 17%. Selling saved at other customers would provide government more enough money compensate farmers for increased cost.