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

Abstract

Summary 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.

Can smart factories bring environmental benefits to their products?: A case study of household refrigerators

“…LCA is a standardized method to quantify environmental impacts (Zamagni, Masoni, Buttol, Raggi, & Buonamici, 2012;Zhang et al, 2016), and this approach has been extensively applied on assessing the environmental performance of household appliances (Cullen & Allwood, 2009;Ross & Cheah, 2017;Tasaki, Motoshita, Uchida, & Suzuki, 2013). In this article, the LCA methodology is applied in accordance with the principles of the International Organization for Standardization's (ISO) standards (ISO, 2006a(ISO, , 2006b.…”

Consideration of uncertainties in LCA for infrastructure using probabilistic methods

“…uniform, normal) might be more representative for other inputs. In order to test the effect of choosing different distribution types, the simulations have been performed with various probability distributions (see also Muller, Mutel, Lesage, & Samson (2017) and Ross and Cheah (2018) for other examples of similar investigations).…”

The influence of consumer behavior on energy, greenhouse gas, and water footprints of showering

“…Life cycle assessment (LCA) is widely used as a tool for environmental footprinting of household activities, although behavioral variability is typically not addressed in these studies (Golsteijn et al., ; Koerner, Schulz, Powell, & Ercolani, ; Ross & Cheah, ; Yuan, Zhang, & Liu, ). Quantification of variability in the environmental footprints and calculating the contribution of different variables as well as different types of behavior to the overall variance provides a better understanding of the environmental footprints and their key drivers (Di Sorrentino, Woelbert, & Sala, ).…”