An ecological footprint analysis for industrial applications

Kimberly A. Bush, Mario G. Beruvides

Research output: Contribution to conferencePaper

Abstract

In a recent 65 year span, the population on Earth increased from 2.5 billion to 6.5 billion people-an average growth of 80 million people per year. To support this large and ever growing population, an enormous amount of natural resources is required. Every individual in the human population requires natural resources in varying amounts to survive. Some of these resource needs, such as the amount of water an individual drinks, are easy to quantify. Others, such as the amount of cropland required to produce the food supply for that individual are a little more difficult to calculate. The Ecological Footprint Analysis is a tool used to calculate in hectares the amount of land required to support an individual. The user of the tool incorporates information on an individual's housing, food consumption, energy usage, and regional location to calculate the number of hectares it would take to supply the materials for the housing, the number of acres to grow the vegetables eaten, and even the land needed to support the animals to be eaten. This tool, however, is specific to human applications. In this research, a tool to calculate resource requirements to support an industrial facility is explored. The tool investigates adaptability to various locations and facilities. Input resource requirements specific to facilities to determine the number of hectares required to support current resource demands is a critical aspect of the analysis. Developing an Industrial Ecological Footprint Analysis can be used as a planning tool for future operations or construction needs.

Original languageEnglish
StatePublished - 2017
Event2017 International Annual Conference of the American Society for Engineering Management, ASEM 2017 - Huntsville, United States
Duration: Oct 18 2017Oct 21 2017

Conference

Conference2017 International Annual Conference of the American Society for Engineering Management, ASEM 2017
CountryUnited States
CityHuntsville
Period10/18/1710/21/17

Keywords

  • Ecological Footprint Analysis
  • Industrial
  • Natural Resources
  • Sustainability

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