Building energy use varies widely across metropolitan Los Angeles. Building age, household income, home ownership rates, and land use are all correlated with energy consumption. High-income areas use more energy per building, while lower-income areas use more energy per square-foot. Account-level energy use data can help local governments devise conservation strategies. Energy efficiency programs need evaluated using energy consumption data. a r t i c l e i n f o
b s t r a c tResidential and commercial buildings comprise approximately forty percent of total energy consumption and carbon dioxide emissions in the U.S. Yet, while California spends $1.5 billion annually on energy efficiency programs, limited research has explored how building energy consumption varies within cities, including the social and structural factors that influence electricity and natural gas use. We present results from an analysis of aggregated account-level utility billing data for energy consumption across the over two million properties in Los Angeles County. Results show that consumption in L.A. County varies widely with geography, income, building characteristics, and climate. Several higher-income areas have greater total energy use per building even in cooler climates, while many lower-income regions rank higher for energy use per square-foot. Energy consumption also correlates with building age, which varies widely throughout the region. Our results demonstrate the many complex and interrelated factors that influence urban energy use. While billing data is critical for devising energy efficiency programs that actually realize estimated savings and promote more sustainable cities, opening access to such data presents significant challenges for protecting personal privacy. The presented approach is adaptable and scalable to cities seeking to develop data-driven policies to reduce building energy use.
School buildings are significant energy consumers. They are important targets for energy efficiency improvements, which can reduce energy spending and meet energy policy goals for state and federal governments. In the US, few studies have quantified electricity and natural gas consumption patterns in schools. Such information vitally supports energy planning and benchmarking. We present an analysis of high-detail electricity and natural gas consumption for schools in Los Angeles County over an extended period of time. Using a robust database of monthly account-level consumption, we examine electricity and natural gas consumption trends for hundreds of schools in relation to key structural and categorical characteristics, including size, geography, and school type. Results show that school energy use varies greatly across socio-demographic, structural, and climate factors. Correlations between electricity and natural gas consumption are time dependent and seasonally distinct. The analysis provides a useful case study with benchmarks for US public schools and demonstrates challenges with devising large-scale studies of school energy use. We conclude with a discussion of policy implications.
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