Food-energy-water nexus considerations in optimal greenhouse farming systems design and operation

Greenhouse farming systems have the potential to sustainably relieve the stresses on food supply systems caused by a globally increasing population, together with the reduction of available agricultural land due to urbanization and soil degradation. However, literature regarding the sustainable desi...

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Vydané v:Applied energy Ročník 379; s. 124900
Hlavní autori: Di Martino, Marcello, Namany, Sarah, Mahmood, Farhat, Al-Ansari, Tareq, Linke, Patrick, Pistikopoulos, Efstratios N.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier Ltd 01.02.2025
Predmet:
Food-energy-water nexus
Greenhouse farming
Mixed-integer linear programming
Modular operation
Multi-objective optimization
Planning and scheduling
Modular operation
Multi-objective optimization
Greenhouse farming
Planning and scheduling
Food-energy-water nexus
Mixed-integer linear programming
ISSN:0306-2619
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Abstract Greenhouse farming systems have the potential to sustainably relieve the stresses on food supply systems caused by a globally increasing population, together with the reduction of available agricultural land due to urbanization and soil degradation. However, literature regarding the sustainable design and operation optimization of greenhouse process systems remains scarce. This work focuses on the optimal planning and scheduling of a greenhouse farming system dependent on the utilized farming technologies, the available crops, and the selected geographic location. Ad extremum, the derived greenhouse optimization framework enables the generic trade-off analysis among completely isolated and transparent greenhouses, as well as energy and water saving greenhouses. Planning and scheduling decisions include the cover material transmissivity and isolation, cooling, heating, wetting and drying technologies, multi-crops farming strategies, irrigation, as well as artificial lighting and a dynamic shading system. To derive sustainable greenhouse system solutions, this work follows a food-energy-water nexus approach by analyzing not only an economic objective, but also resource-use objectives and a societal benefit objective, in the form of the nutritional value of the produced food basket, over one year of operation at an hourly timescale. Accordingly, this approach results in a multi-objective multi-scale mixed-integer linear programming optimization problem of large size. Various solution strategies to reduce the computational burden and solve this optimization problem to global optimality are discussed. The Pareto-front envelope for Doha, Qatar is characterized by a best-possible solution vector of $2.949M/year, 144 MW/year, 124 m3/year, and farming of carrot, lettuce, tomato, and spinach. In turn, the best trade-off solution for farming this nutrition optimal food basket consist of an annualized system cost of between $3.2M and $3.5M, energy-use between 186 and 189 MW, and water-use of 138 m3. [Display omitted] •A generic multi-scale greenhouse farming planning and scheduling optimization framework is presented.•To allow for quarter-yearly multi-crops farming decisions, the greenhouse operating space is discretized via modularization.•Sustainable greenhouse farming solutions are obtained via the multi-objective optimization of system cost, resource-use and nutritional output.•Strategies overcoming the encountered multi-objective system complexity are discussed, resulting in globally optimal solutions.•The identified best trade-off solution farms spinach, tomato, carrot and lettuce, which simultaneously achieves the maximum nutritional output.
AbstractList Greenhouse farming systems have the potential to sustainably relieve the stresses on food supply systems caused by a globally increasing population, together with the reduction of available agricultural land due to urbanization and soil degradation. However, literature regarding the sustainable design and operation optimization of greenhouse process systems remains scarce. This work focuses on the optimal planning and scheduling of a greenhouse farming system dependent on the utilized farming technologies, the available crops, and the selected geographic location. Ad extremum, the derived greenhouse optimization framework enables the generic trade-off analysis among completely isolated and transparent greenhouses, as well as energy and water saving greenhouses. Planning and scheduling decisions include the cover material transmissivity and isolation, cooling, heating, wetting and drying technologies, multi-crops farming strategies, irrigation, as well as artificial lighting and a dynamic shading system. To derive sustainable greenhouse system solutions, this work follows a food-energy-water nexus approach by analyzing not only an economic objective, but also resource-use objectives and a societal benefit objective, in the form of the nutritional value of the produced food basket, over one year of operation at an hourly timescale. Accordingly, this approach results in a multi-objective multi-scale mixed-integer linear programming optimization problem of large size. Various solution strategies to reduce the computational burden and solve this optimization problem to global optimality are discussed. The Pareto-front envelope for Doha, Qatar is characterized by a best-possible solution vector of $2.949M/year, 144 MW/year, 124 m3/year, and farming of carrot, lettuce, tomato, and spinach. In turn, the best trade-off solution for farming this nutrition optimal food basket consist of an annualized system cost of between $3.2M and $3.5M, energy-use between 186 and 189 MW, and water-use of 138 m3. [Display omitted] •A generic multi-scale greenhouse farming planning and scheduling optimization framework is presented.•To allow for quarter-yearly multi-crops farming decisions, the greenhouse operating space is discretized via modularization.•Sustainable greenhouse farming solutions are obtained via the multi-objective optimization of system cost, resource-use and nutritional output.•Strategies overcoming the encountered multi-objective system complexity are discussed, resulting in globally optimal solutions.•The identified best trade-off solution farms spinach, tomato, carrot and lettuce, which simultaneously achieves the maximum nutritional output.
ArticleNumber 124900
Author Al-Ansari, Tareq
Pistikopoulos, Efstratios N.
Di Martino, Marcello
Mahmood, Farhat
Namany, Sarah
Linke, Patrick
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  surname: Di Martino
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  organization: Artie McFerrin Department of Chemical Engineering, Texas A&M University, 3122 TAMU, College Station, TX 77843, USA
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  givenname: Sarah
  surname: Namany
  fullname: Namany, Sarah
  email: sanamany@hbku.edu.qa
  organization: College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Education City, PO Box 34110, Doha, Qatar
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  givenname: Farhat
  surname: Mahmood
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  email: famahmood@hbku.edu.qa
  organization: College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Education City, PO Box 34110, Doha, Qatar
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  givenname: Tareq
  surname: Al-Ansari
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  givenname: Patrick
  surname: Linke
  fullname: Linke, Patrick
  email: patrick.linke@qatar.tamu.edu
  organization: Texas A&M Energy Institute, Texas A&M University, 1617 Research Pkwy, College Station, TX 77845, USA
– sequence: 6
  givenname: Efstratios N.
  orcidid: 0000-0002-4139-083X
  surname: Pistikopoulos
  fullname: Pistikopoulos, Efstratios N.
  email: stratos@tamu.edu
  organization: Artie McFerrin Department of Chemical Engineering, Texas A&M University, 3122 TAMU, College Station, TX 77843, USA
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Keywords Modular operation
Multi-objective optimization
Greenhouse farming
Planning and scheduling
Food-energy-water nexus
Mixed-integer linear programming
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Snippet Greenhouse farming systems have the potential to sustainably relieve the stresses on food supply systems caused by a globally increasing population, together...
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StartPage 124900
SubjectTerms Food-energy-water nexus
Greenhouse farming
Mixed-integer linear programming
Modular operation
Multi-objective optimization
Planning and scheduling
Title Food-energy-water nexus considerations in optimal greenhouse farming systems design and operation
URI https://dx.doi.org/10.1016/j.apenergy.2024.124900
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