ABSTRACT

Environmental life cycle assessment is often thought of as cradle to grave and therefore as the most complete accounting of the environmental costs and benefits of a product or service. However, as anyone who has done an environmental life cycle assessment knows, existing tools have many problems: data is difficult to assemble and life cycle studies take months of effort. A truly comprehensive analysis is prohibitive, so analysts are often forced to simply ignore many facets of life cycle impacts. But the focus on one aspect of a product or service can result in misleading indications if that aspect is benign while other aspects pollute or are otherwise unsustainable. This book summarizes the EIO-LCA method, explains its use in relation to other life cycle assessment models, and provides sample applications and extensions of the model into novel areas. A final chapter explains the free, easy-to-use software tool available on a companion website. (www.eiolca.net) The software tool provides a wealth of data, summarizing the current U.S. economy in 500 sectors with information on energy and materials use, pollution and greenhouse gas discharges, and other attributes like associated occupational deaths and injuries. The joint project of twelve faculty members and over 20 students working together over the past ten years at the Green Design Institute of Carnegie Mellon University, the EIO-LCA has been applied to a wide range of products and services. It will prove useful for research, industry, and in economics, engineering, or interdisciplinary classes in green design.

part I|61 pages

Introduction to the EIO-LCA Method

chapter 2|8 pages

Hybrid LCA Analysis

Combining the EIO-LCA Approach with Other Models

chapter 4|7 pages

Uncertainty in Estimating Impacts

part II|84 pages

Example Applications

chapter 11|9 pages

Environmental Impacts of Services 1

chapter 13|12 pages

Comparison of Energy Transportation Modes

Coal by Rail, Methane by Pipeline, and Electricity Transmission

part III|39 pages

Further Developments in the EIO-LCA Method