Measuring residential energy efficiency improvements with DEA

Grösche, Peter

doi:10.1007/s11123-008-0121-7

Cited by 41 publications

(28 citation statements)

References 18 publications

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“…Given these advantages, multiple studies have applied DEA to benchmark building energy use. DEA has been employed to benchmark energy use efficiency in government buildings in Taiwan (Lee 2008;Lee and Lee 2009), hotels (Onut and Soner 2006) and manufacturing sectors (Onut and Soner 2007) in Turkey, and single-family homes in the United States (Grosche 2009). Outside of building energy use, Hua et al (2007) utilized DEA analysis to measure the eco-efficiency of paper mills by way of undesirable pollution outputs.…”

Section: Data Envelopment Analysismentioning

confidence: 99%

Benchmarking Nonresidential Water Use Efficiency Using Parcel-Level Data

Morales

Heaney

2016

J. Water Resour. Plann. Manage.

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Past studies of commercial, industrial, and institutional (CII) water use efficiency have been limited to simple normalization benchmarking measures. Simple normalization ratios (e.g., water use per employee) account for only one driver of water use and are often misleading because of the predominantly skewed nature of water use intensities. In order to improve on benchmarking systems to assess the water use efficiency of CII customers, this paper explores two popular methods used in the energy efficiency field: ordinary least squares (OLS) and data envelopment analysis (DEA). Parcel-level data from Austin, Texas, is used to demonstrate the methods, where a data-driven approach is employed to include average water use, building area, building value, year built, parcel area, and number of employees as measures of input, and annual sales as the economic measure of output.

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Section: Data Envelopment Analysismentioning

confidence: 99%

Benchmarking Nonresidential Water Use Efficiency Using Parcel-Level Data

Morales

Heaney

2016

J. Water Resour. Plann. Manage.

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“…However, when the individuals in the sample differ in technology and efficiency with differenced information, especially when such heterogeneity changes with time, the linear or parametric specification cannot fully describe the heterogeneity in the production function and may induce a bias in the measurement of technical efficiency. Conventional methods (either DEA or SFA) attribute the model misspecification errors to inefficiency (Fu, 2005;Balaguer-Coll et al, 2007;Grösche, 2009;Joseph et al, 2010;Coelli, 1992, 1995;Kumbhakar and Lovell, 2000;Wu 2003). Researchers have relaxed distributional assumptions in the error component and parametric assumptions in SFA to achieve a more reliable measurement of technical efficiency (Greene, 2005;Kneip and Simar, 1996;and Henderson and Simar, 2005).…”

Section: Introductionmentioning

confidence: 99%

An analysis on technical efficiency in post-reform China

Zhou¹,

2011

China Economic Review

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Abstract:This paper employs a fully nonparametric stochastic frontier model with time and individual effects to study technical efficiency in China's post-reform economy. The panel data cover China's thirty provinces for the period of 1985-2008. The empirical results show that the average output elasticity of labor is larger than the other two inputs of capital and human capital. Based on the specified inefficiency Tobit model, the factor analysis on technical efficiency shows that the time effects of technical efficiency in China's post-reform economy are significantly contingent on the factors. There exists significant regional differences in technical efficiency in China's economic development, and a number of policy implications can be drawn.

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“…For decades now, the European Union has enforced energy efficiency directives for European buildings [21,22]. Although no such directives exist in the United States, it was reported that there has been a slight improvement in the energy efficiency of residential building in this country between 1997 and 2001 [23]. If one compares the construction details of the European and the American II walls, the materials and thicknesses of the components are almost the same starting from the sheathing inward.…”

Section: Heat Resistancementioning

confidence: 99%

Modeling the hygrothermal performance of selected North American and comparable European wood-frame house walls

Pásztory

Peralta

Molnar

et al. 2012

Energy and Buildings

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a b s t r a c tIn North America, the exterior finish of wood-frame house walls usually consists of a siding, a water resistive barrier, and an oriented strandboard (OSB) sheathing. In Europe, the exterior finish uses the External Thermal Insulation Composite System attached to a gypsum board sheathing. This study was performed to compare the hygrothermal performance of American and European walls by using a finiteelement model. Analysis showed that the European wall has better thermal performance mainly because of the heat-insulating ability of the expanded polysterene (EPS) layer. But when the EPS was reduced to the same thickness as the siding used in American construction, the thermal performance of the European wall did not fare any better than the American structure. The resistance of the European wall to moisture damage was also better than the American walls. One reason for this is the high diffusion resistance of the EPS. But this same high diffusion resistance works to the detriment of an Exterior Insulation Finish System (EIFS) wall if water is able to infiltrate the structure. When water leakage is present, the water content of the OSB in the EIFS wall reaches levels that make it vulnerable to mold growth and fungal decay.

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Measuring residential energy efficiency improvements with DEA

Cited by 41 publications

References 18 publications

Benchmarking Nonresidential Water Use Efficiency Using Parcel-Level Data

Benchmarking Nonresidential Water Use Efficiency Using Parcel-Level Data

An analysis on technical efficiency in post-reform China

Modeling the hygrothermal performance of selected North American and comparable European wood-frame house walls

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