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

作者: Farzin Golzar , Niko Heeren , Stefanie Hellweg , Ramin Roshandel

DOI: 10.1016/J.BIOSYSTEMSENG.2020.11.012

关键词:

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.

参考文章(57)
Zakariya Farajzadeh, Mohammad Bakhshoodeh, Economic and environmental analyses of Iranian energy subsidy reform using Computable General Equilibrium (CGE) model Energy for Sustainable Development. ,vol. 27, pp. 147- 154 ,(2015) , 10.1016/J.ESD.2015.06.002
A. Ramírez, F. Rodríguez, M. Berenguel, E. Heuvelink, Calibration and validation of complex and simplified tomato growth models for control purposes in the southeast of Spain Acta Horticulturae. ,vol. 654, pp. 147- 154 ,(2004) , 10.17660/ACTAHORTIC.2004.654.15
Wael M. El-Maghlany, Mohamed A. Teamah, Hiroshi Tanaka, Optimum design and orientation of the greenhouses for maximum capture of solar energy in North Tropical Region Energy Conversion and Management. ,vol. 105, pp. 1096- 1104 ,(2015) , 10.1016/J.ENCONMAN.2015.08.066
P.J.M. van Beveren, J. Bontsema, G. van Straten, E.J. van Henten, Optimal control of greenhouse climate using minimal energy and grower defined bounds Applied Energy. ,vol. 159, pp. 509- 519 ,(2015) , 10.1016/J.APENERGY.2015.09.012
Jiaoliao Chen, Jiangxin Yang, Jiangwu Zhao, Fang Xu, Zheng Shen, Libin Zhang, Energy demand forecasting of the greenhouses using nonlinear models based on model optimized prediction method Neurocomputing. ,vol. 174, pp. 1087- 1100 ,(2016) , 10.1016/J.NEUCOM.2015.09.105
Bram H.E. Vanthoor, Johannes D. Stigter, Eldert J. van Henten, Cecilia Stanghellini, Pieter H.B. de Visser, Silke Hemming, A methodology for model-based greenhouse design: Part 5, greenhouse design optimisation for southern-Spanish and Dutch conditions Biosystems Engineering. ,vol. 111, pp. 350- 368 ,(2012) , 10.1016/J.BIOSYSTEMSENG.2012.01.005
D.L Critten, B.J Bailey, A review of greenhouse engineering developments during the 1990s Agricultural and Forest Meteorology. ,vol. 112, pp. 1- 22 ,(2002) , 10.1016/S0168-1923(02)00057-6
Chunni Dai, Meng Yao, Zhujie Xie, Chunhong Chen, Jingao Liu, Parameter optimization for growth model of greenhouse crop using genetic algorithms soft computing. ,vol. 9, pp. 13- 19 ,(2009) , 10.1016/J.ASOC.2008.02.002
Leiv M. Mortensen, Review: CO2 enrichment in greenhouses. Crop responses Scientia Horticulturae. ,vol. 33, pp. 1- 25 ,(1987) , 10.1016/0304-4238(87)90028-8