TY - JOUR
T1 - Application of a dynamic hybrid energy-crop yield model to support the co-utilisation of mega infrastructure for food security
AU - Mahmood, Farhat
AU - Luqman, Muhammad
AU - Al-Ansari, Tareq
N1 - Publisher Copyright:
© 2023 The Author(s)
PY - 2023/8
Y1 - 2023/8
N2 - As the global population continues to expand and the demand for food rises, countries must intensify local and sustainable food production to ensure food security. Therefore, this study aims to develop a framework for utilising the post-2022 FIFA World CupTM infrastructure for food production by constructing greenhouse systems adjacent to recently built stadiums. The framework is based on; (1) the greenhouse requirement and yield model, (2) economic optimisation of the model to minimise the levelized cost of production, and (3) applying the optimised framework to the stadiums. Results illustrated that the night and day temperature set-points of 18/24 degrees C, relative humidity of 79%, CO2 concentration of 1050 ppm, leaf area index of 6 m2 leaf m-2 ground, plant density of 3.5 plants m-2, and glass as the covering material are the optimum parameters that produce yield at the lowest cost. The optimised model is applied to the stadiums, and the results demonstrated that 3752.92 tons year-1 of yield could be produced at a market competitive rate by utilising a small part of the available cooling. Furthermore, the developed framework is flexible and can be applied to retrofit existing infrastructure to support food production across the globe, creating a lasting legacy for all stakeholders.(c) 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
AB - As the global population continues to expand and the demand for food rises, countries must intensify local and sustainable food production to ensure food security. Therefore, this study aims to develop a framework for utilising the post-2022 FIFA World CupTM infrastructure for food production by constructing greenhouse systems adjacent to recently built stadiums. The framework is based on; (1) the greenhouse requirement and yield model, (2) economic optimisation of the model to minimise the levelized cost of production, and (3) applying the optimised framework to the stadiums. Results illustrated that the night and day temperature set-points of 18/24 degrees C, relative humidity of 79%, CO2 concentration of 1050 ppm, leaf area index of 6 m2 leaf m-2 ground, plant density of 3.5 plants m-2, and glass as the covering material are the optimum parameters that produce yield at the lowest cost. The optimised model is applied to the stadiums, and the results demonstrated that 3752.92 tons year-1 of yield could be produced at a market competitive rate by utilising a small part of the available cooling. Furthermore, the developed framework is flexible and can be applied to retrofit existing infrastructure to support food production across the globe, creating a lasting legacy for all stakeholders.(c) 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
KW - Crop yield model
KW - Economic optimisation
KW - FIFA World Cup2022TM
KW - Greenhouses
KW - Stadiums
KW - Sustainable food production
UR - http://www.scopus.com/inward/record.url?scp=85156231102&partnerID=8YFLogxK
U2 - 10.1016/j.eti.2023.103157
DO - 10.1016/j.eti.2023.103157
M3 - Article
AN - SCOPUS:85156231102
SN - 2352-1864
VL - 31
JO - Environmental Technology and Innovation
JF - Environmental Technology and Innovation
M1 - 103157
ER -