A multi-criteria linear model on carbon footprint in vertical farms and its relation to energy demand and operational costs

Abstract

Operational research is the scientific discipline - widespread in sciences like engineering, economics, sociology, politics - that applies advanced analytical methods to assist in decision-making. The aim of this study was to demonstrate the value of such methods to the research of the carbon footprint produced by vertical farms, in specific its decrease in regard to the pre- and post-operational energy consumption and cost that occurs throughout their lifecycle. A logistic structure was designed, dependent on specific parameters, such as the space, location, and fuel of the hydroponic unit that change during the research. This way, multiple possible scenarios could be studied. The results of each scenario were analysed and compared via a linear multi-criteria model. The results demonstrated strong dependencies (and softer links) between particular parameters, such as the choice of space and the food miles required for the product.