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Construction codes that regulate the energy efficiency of new buildings have been a centerpiece of US environmental policy for 40 years. California enacted the nation's first energy building codes in 1978, and they were projected to reduce residential energy use -- and associated pollution -- by 80 percent. How effective have the building codes been? I take three approaches to answering that question. First, I compare current electricity use by California homes of different vintages constructed under different standards, controlling for home size, local weather, and tenant characteristics. Second, I examine how electricity in California homes varies with outdoor temperatures for buildings of different vintages. And third, I compare electricity use for buildings of different vintages in California, which has stringent building energy codes, to electricity use for buildings of different vintages in other states. All three approaches yield the same answer: there is no evidence that homes constructed since California instituted its building energy codes use less electricity today than homes built before the codes came into effect.
In light of the pressing impacts of climate change and rising demand for electricity, many state governments have adopted International Energy Conservation Codes (IECC) and the Energy Standard for Buildings Except Low-Rise Residential Buildings (ASHRAE 90.1) for new commercial buildings. This paper investigates the relationship between commercial building energy codes and electricity consumption on the state level. Using state-level data on commercial building code adoption and electricity use from 2004 to 2015 in OLS and fixed-effects models, I found a negative relationship between building energy code adoption and electricity consumption. States adopting the building energy codes between 2004 and 2015 are associated with a 1,968.974 million kilowatthours less electricity consumption in the commercial sector, enough to power about 18,300 households per year. However, using a fixed-effects model with a one-year lagged effect, I found a positive relationship between building code adoption and electricity consumption. In this model specification, states adopting building energy codes in the previous year are associated with a 606.918 million kilowatthours increase in annual average electricity consumption in the commercial sector, which indicates the importance of compliance with codes. The inconsistent results indicate a need for future study, which could include additional data, such as compliance with codes, number of new commercial buildings, and building activities.
This paper provides an ex post evaluation of how changes to a building energy code affect energy consumption. Using residential billing data for electricity and natural gas over 11 years, the analysis is based on comparisons between residences constructed just before and just after a building code change in Florida. While an earlier study using 3 years of data for the same residences showed savings for both electricity an natural gas, new results show an enduring savings for natural gas only. These findings underscore the importance of accounting for age versus vintage effects and all sources of energy consumption when conducting evaluations of building codes. More broadly, the results provide a counterpoint to the growing literature casting doubt on whether ex ante forecasts of energy efficiency policies and investments can provide useful information about actual energy savings. Indeed, more than a decade after Florida's energy code change, the measured energy savings still meets or exceeds the forecasted amount.
In response to the 1973 oil embargo, many states began passing building energy codes in order to promote energy efficiency. While the vast majority of states have energy codes in place, policymakers are now attempting to legislate energy codes at the federal level to help address more recent concerns about energy efficiency and climate change. Nevertheless, surprisingly little is known about whether energy codes are an effective way to reduce energy consumption in practice. This paper provides the first evaluation of an energy-code change that uses residential billing data on both electricity and natural gas, combined with data on observable characteristics of each residence. The study takes place in Gainesville, Florida, and the empirical strategy is based on comparisons between residences constructed just before and just after Florida increased the stringency of its energy code in 2002. We find that the increased stringency of the energy code is associated with a 4-percent decrease in electricity consumption and a 6-percent decrease in natural-gas consumption. The pattern of savings is consistent with reduced consumption of electricity for air-conditioning and reduced consumption of natural gas for heating. We also estimate economic costs and benefits and find that the private payback period for the average residence is 6.4 years. The social payback period, which accounts for the avoided costs of air-pollution emissions, ranges between 3.5 and 5.3 years.
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America's economy and lifestyles have been shaped by the low prices and availability of energy. In the last decade, however, the prices of oil, natural gas, and coal have increased dramatically, leaving consumers and the industrial and service sectors looking for ways to reduce energy use. To achieve greater energy efficiency, we need technology, more informed consumers and producers, and investments in more energy-efficient industrial processes, businesses, residences, and transportation. As part of the America's Energy Future project, Real Prospects for Energy Efficiency in the United States examines the potential for reducing energy demand through improving efficiency by using existing technologies, technologies developed but not yet utilized widely, and prospective technologies. The book evaluates technologies based on their estimated times to initial commercial deployment, and provides an analysis of costs, barriers, and research needs. This quantitative characterization of technologies will guide policy makers toward planning the future of energy use in America. This book will also have much to offer to industry leaders, investors, environmentalists, and others looking for a practical diagnosis of energy efficiency possibilities.
State-level building energy codes have been around for over 40 years, but recent empirical research has cast doubt on their effectiveness. A potential virtue of standards-based policies is that they may be less regressive than explicit taxes on energy consumption. However, this conjecture has not been tested empirically in the case of building energy codes. Using spatial variation in California's code strictness created by building climate zones, combined with information on over 350,000 homes located within 3 kilometers of climate zone borders, we evaluate the effect of building energy codes on home characteristics, energy use, and home value. We also study building energy codes' distributional burdens. Our key findings are that stricter codes create a non-trivial reduction in homes' square footage and the number of bedrooms at the lower end of the income distribution. On a per-dwelling basis, we observe energy use reductions only in the second lowest income quintile, and energy use per square foot actually increases in the bottom quintile. Home values of lower-income households fall, while those of high-income households rise. We interpret these results as evidence that building energy codes result in more distortions for lower-income households and that decreases in square footage are responsible for much of the code-induced energy savings.
Buildings in the United States, account for over 68 percent of electricity consumed, 39 percent of total energy use, and 38 percent of the carbon dioxide emissions. By the year 2035, about 75% of the U.S. building sector will be either new or renovated. The energy efficiency requirements of current building codes would have a significant impact on future energy use, hence, one of the most widely accepted solutions to slowing the growth rate of GHG emissions and then reversing it involves a stringent adoption of building energy codes. A large number of building energy codes exist and a large number of studies which state the energy savings possible through code compliance. However, most codes are difficult to comprehend and require an extensive understanding of the code, the compliance paths, all mandatory and prescriptive requirements as well as the strategy to convert the same to energy model inputs. This paper provides a simplified solution for the entire process by providing an easy to use interface for code compliance and energy simulation through a spreadsheet based tool, the ECCO or the Energy Code COmpliance Tool. This tool provides a platform for a more detailed analysis of building codes as applicable to each and every individual building in each climate zone. It also facilitates quick building energy simulation to determine energy savings achieved through code compliance. This process is highly beneficial not only for code compliance, but also for identifying parameters which can be improved for energy efficiency. Code compliance is simplified through a series of parametric runs which generates the minimally compliant baseline building and 30% beyond code building. This tool is seen as an effective solution for architects and engineers for an initial level analysis as well as for jurisdictions as a front-end diagnostic check for code compliance. .