Uncertainty Quantification in Life Cycle Assessments Interindividual Variability and Sensitivity Analysis in LCA of Air-Conditioning Systems

Stephen A. Ross; Lynette Cheah

doi:10.1111/jiec.12505

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Uncertainty Quantification in Life Cycle Assessments Interindividual Variability and Sensitivity Analysis in LCA of Air-Conditioning Systems

Journal article

Peer reviewed

Uncertainty Quantification in Life Cycle Assessments Interindividual Variability and Sensitivity Analysis in LCA of Air-Conditioning Systems

Stephen A. Ross and Lynette Cheah

Journal of Industrial Ecology, Vol.21(5), pp.1103-1114

2017

DOI: https://doi.org/10.1111/jiec.12505

Abstract

eco-design

global warming potential

industrial ecology

Monte Carlo simulation

use-phase

user behaviour

The life cycle environmental profile of energy-consuming products, such as air conditioning, is dominated by the products' use phase. Different user behavior patterns can therefore yield large differences in the results of a cradle-to-grave assessment. Although this variation and uncertainty is increasingly recognized, it remains often poorly characterized in life cycle assessment (LCA) studies. Today, pervasive sensing presents the opportunity to collect rich data sets and improve profiling of use-phase parameters, in turn facilitating quantification and reduction of this uncertainty in LCA. This study examined the case of energy use in building cooling systems, focusing on global warming potential (GWP) as the impact category. In Singapore, building cooling systems or air conditioning consumes up to 37% of national electricity demand. Lack of consideration of variation in use-phase interaction leads to the oversized designs, wasted energy, and therefore reducible GWP. Using a high-resolution data set derived from sensor observations, energy use and behavior patterns of single-office occupants were characterized by probabilistic distributions. The interindividual variability and use-phase variables were propagated in a stochastic model for the life cycle of air-conditioning systems and simulated by way of Monte Carlo analysis. Analysis of the generated uncertainties identified plausible reductions in global warming impact through modifying user interaction. Designers concerned about the environmental profile of their products or systems need better representation of the underlying variability in use-phase data to evaluate the impact. This study suggests that data can be reliably provided and incorporated into the life cycle by proliferation of pervasive sensing, which can only continue to benefit future LCA.

Details

Title: Uncertainty Quantification in Life Cycle Assessments Interindividual Variability and Sensitivity Analysis in LCA of Air-Conditioning Systems
Authors: Stephen A. Ross - Singapore University of Technology and Design
Lynette Cheah (Corresponding Author) - Singapore University of Technology and Design
Publication details: Journal of Industrial Ecology, Vol.21(5), pp.1103-1114
Publisher: Wiley-Blackwell Publishing, Inc.
Date published: 2017
DOI: 10.1111/jiec.12505
ISSN: 1530-9290
Organisation Unit: School of Science, Technology and Engineering
Language: English
Record Identifier: 991029280402621
Output Type: Journal article