Publications

Towards the optimization of sustainable food-energy-water systems: A stochastic approach

Faculty Author(s): Karan, Ebrahim
Student Author(s): -
Department: AEST
Publication: Journal of Cleaner Production
Year: 2018
Abstract: To access, purchase, authenticate, or subscribe to the full-text of this article, please visit this link: http://dx.doi.org/10.1016/j.jclepro.2017.10.051 Byline: Ebrahim Karan (a,*), Somayeh Asadi (b), Rabi Mohtar (c), Mahad Baawain (d) Keywords Food; Energy; Water; Sustainability; Quantitative modeling; Greenhouse Highlights * Interactions among the nexus are explored through the design of small scale systems. * The greenhouse is the smallest scale of sustainable food-energy-water (FEW) systems. * A quantitative modeling is used to estimate the cost of sustainable FEW systems. * The energy component is the most critical element of a sustainable FEW system. Abstract The interlinkage between the food, energy and water (FEW) supply systems, known as the nexus, has received considerable attention in recent years. Despite this intense interest, there is little work focusing on how to design a sustainable FEW system that can consistently meet its food, energy, and water demands. In an effort to better understand the dynamics among the nexus, the scope of the study is limited to a small-scale FEW system that can consistently yield food for a family of four (two adults and two children) and collect or recycle its own water and supply its own energy needs through solar panels (electricity demand). In order to determine the influence of each component (i.e. food, water, or energy) on the system's output and identify the weakest link of the system (e.g. water scarcity, energy shortage, inconsistent supply of food, etc.), a quantitative modeling is used to calculate the total cost of sustainable FEW systems. The impact of each design decision variable (e.g. size of the system, water recycling capacity, solar system) on the system's output is formulated and then optimized. The model is analyzed for two different climate scenarios; a cloudy and humid scenario and sunny and arid scenario. In both scenarios, the energy component represents a large portion of the system's total cost (around 86% in the humid climate and 73% in the arid climate). This shows that innovative energy production technologies are needed to improve the sustainability of FEW systems at a reasonable cost. Author Affiliation: (a) Department of Applied Engineering, Safety, and Technology, Millersville University, Osburn Hall, PO Box 1002, 40 East Frederick Street, Millersville, PA 17551, USA (b) Department of Architectural Engineering, Pennsylvania State University, 104 Engineering Unit A, University Park, PA 16802, USA (c) Biological and Agricultural Engineering Department and Civil Engineering Department, Texas A&M University, Scoates Hall, Suite 201, 2117 TAMU, 333 Spence St, College Station, TX 77843, United States (d) Department of Civil and Architectural Engineering, Sultan Qaboos University, P.O. Box 33, Al-Khodh, P.C. 123, Muscat, Oman * Corresponding author. Article History: Received 18 July 2017; Revised 4 October 2017; Accepted 6 October 2017
Link: Towards the optimization of sustainable food-energy-water systems: A stochastic approach