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Case Report

Spatial Model for Energy Consumption of LEED-Certified Buildings

1
Department of Construction Management, University of North Florida, Jacksonville, FL 32224, USA
2
Living Environmental Research Center, Korea Institute of Civil Engineering and Building Technology (KICT), Seoul 411-712, Republic of Korea
3
Green Building Research Center, Korea Institute of Civil Engineering and Building Technology (KICT), Seoul 411-712, Republic of Korea
*
Author to whom correspondence should be addressed.
Sustainability 2023, 15(22), 16097; https://doi.org/10.3390/su152216097
Submission received: 15 August 2023 / Revised: 20 October 2023 / Accepted: 9 November 2023 / Published: 20 November 2023
(This article belongs to the Special Issue Energy Efficiency in Building and Energy Balance)

Abstract

In this research endeavor, we undertook a comprehensive examination of the factors influencing the energy consumption of LEED-certified buildings, employing both a general linear regression model and a spatial delayed regression model. Gaining a profound understanding of energy utilization patterns within LEED-certified structures can significantly contribute to advancing eco-friendly construction practices. Our investigation draws upon data from a 2010 study conducted at the University of Wisconsin—Madison (UW), encompassing various independent variables, such as temperature, that exhibit some degree of correlation with energy consumption in LEED-certified buildings. The principal objective of this study is twofold: firstly, to ascertain the significance of specific exogenous variables, notably temperature, and secondly, to explore the impact of spatial factors, such as function and location, on energy usage. Our research framework encompasses meticulous data collection and rigorous analysis, culminating in the presentation and discussion of our findings. Notably, our study unveils intriguing insights. Contrary to conventional assumptions, we discovered that the energy consumption of LEED-certified buildings does not exhibit a robust linear association with average annual temperature, the count of power plants within a 50 mile radius, or the LEED rating itself. However, our spatial regression models unveil a compelling narrative: the geographic distribution and functional diversity of distinct LEED buildings wield discernible influence over energy consumption patterns. The implications of our research resonate profoundly in the realm of LEED-certified building design and construction. Architects, builders, and stakeholders should consider the nuanced interplay of spatial variables and geographical positioning in the pursuit of optimal energy efficiency. Moreover, our findings stimulate further inquiry in this field, paving the way for future investigations aimed at refining sustainable building practices and enhancing our understanding of energy consumption within LEED-certified structures.
Keywords: spatial model; LEED buildings certification; energy consumption; ordinary linear regression; LEED-certified buildings spatial model; LEED buildings certification; energy consumption; ordinary linear regression; LEED-certified buildings

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MDPI and ACS Style

Kim, J.; Moon, S.-Y.; Jang, D. Spatial Model for Energy Consumption of LEED-Certified Buildings. Sustainability 2023, 15, 16097. https://doi.org/10.3390/su152216097

AMA Style

Kim J, Moon S-Y, Jang D. Spatial Model for Energy Consumption of LEED-Certified Buildings. Sustainability. 2023; 15(22):16097. https://doi.org/10.3390/su152216097

Chicago/Turabian Style

Kim, Jonghoon, Soo-Young Moon, and Daehee Jang. 2023. "Spatial Model for Energy Consumption of LEED-Certified Buildings" Sustainability 15, no. 22: 16097. https://doi.org/10.3390/su152216097

APA Style

Kim, J., Moon, S.-Y., & Jang, D. (2023). Spatial Model for Energy Consumption of LEED-Certified Buildings. Sustainability, 15(22), 16097. https://doi.org/10.3390/su152216097

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