Table 1 Summary of 12 peer-reviewed studies of energy use for LEED-certified commercial buildings
Ref | Publication | LEED buildings | year | Comp. Group | Variables | Methodology | Conclusions |
|---|---|---|---|---|---|---|---|
[17] | Turner & Frankel (NBI) (2008), Energy Performance of LEED for New Construction Buildings | 121 bldgs representing 22% of all U.S. buildings certified before 2006 under NCv2 | any year from 2004 thru 2007 | All U.S. buildings as captured by CBECS 2003 | Site EUI, LEED pts for EE; ES scores, design EUI, baseline EUI | compare median site EUI with gross site EUI for all CBECS 2003. | LEED buildings, on average, are saving 30–35% (site) energy consistent with design predictions |
[18] | Scofield (2009), A re-examination of the NBI LEED Building Energy Consumption Study | Turner & Frankel data | any year in 2004–2007 | constructed subsets of U.S. buildings from CBECS 2003 microdata | site EUI, source EUI | calculate gross EUI (equiv. to area-weighted mean EUI); construct appropriate comparison group | identified key flaws in Turner/Frankel analysis. LEED buildings save 10% site energy but no significant source energy |
[19] | Newsham et al. (2009), Do LEED-certified buildings save energy? Yes, but … | 100 medium energy bldg subset of Turner & Frankel data | any year in 2004–2007 | each bldg paired with a matched partner from CBECS 2003 sample data | site EUI | analysis paired each building with “nearest” building in CBECS 2003 public data | LEED saved 18–39% (site) energy relative to conventional counterpart |
[20] | Scofield (2009), Do LEED-certified buildings save energy? Not really … | 35 office bldg subset of Turner & Frankel data | any year in 2004–2007 | same pairing methodology used by Newsham et al. | site EUI, source EUI | replicated Newsham method with area-weighted averaging and source EUI | when area-weighting was used found no site or source energy savings for LEED buildings |
[21] | Issa et al. (2011), Energy consumption in conventional, energy-retrofitted and green LEED Toronto schools | 3 K-12 Schools in Toronto certified under NCv1 | FY2009 data for LEED, 8 years for other bldgs | other Toronto schools; 10 conventional and 20 energy-retrofitted | natural gas, electricity, site EUI and energy cost | extensive use of regression analysis | LEED schools use significantly more electricity (37%) and significantly less NG (45%) than conventional schools. |
[22] | Menassa et al. (2012), Energy consumption evaluation of U.S. Navy LEED certified buildings | 11 certified Navy buildings of various types located in IL, VA, NC, or CA | Oct. 2008 thru Sept. 2009 | similar (size, location, function), non-LEED Navy buildings. Also CBECS 2003 | electric use (insufficient metering for district heat) | paired T-test of LEED with partnered baseline facility | majority of LEED bldgs used more electricity than the national averages (CBECS 2003) |
[23] | Oates & Sullivan (2012), Post-occupancy energy consumption survey of Arizona’s LEED new construction population | 25 bldgs representing 47% of all AZ buildings certified under NCv2.x before Sept. 2009 | not clear; presume any year since cert. | CBECS 2003 gsf-weighted mean, national and climate zone subsets | site EUI, source EUI, LEED EE points | compared area-weighted mean siteEUI and sourceEUI with various CBECS subsets | medium energy LEED buildings used 13% less site and 1% less source EUI than national. LEED performed worse when compared to CBECS zone 5. |
[24] | Scofield (2013), Efficacy of LEED-certification in reducing energy consumption and greenhouse gas emission for large New York City office buildings | 21 certified office buildings identified in the 2012 NYC benchmarking disclosure | 2011 | 1000 other NYC office buildings, same 2011 year data | site EUI, source EUI, ES scores | comparison of area-weighted mean EUI significance determined by t-test | no site or source energy savings by LEED |
[25] | Agdas et al. (2015), Energy use assessment of educational buildings: toward a campus-wide sustainable energy policy | 10 educational bldgs of various types representing 34% of certified buildings on UF main campus at Gainseville, FL | 2013 | 14 other educational buildings on UF campus, same period | chilled water, steam, and electric energy, site EUI | unweighted and area-weighted means as well as medians | found no statistically significant differences between LEED and non-LEED |
[26] | Chokor & Asmar (2016), A Novel Modeling Approach to Assess the Electricity Consumption of LEED-Certified Research Buildings Using Big Data Predictive Methods | 5 certified research facilities on a university campus in climate zone 2B | 7 years: 2008–2014 | 13 other research facilities on same campus | electric use for 7 years along with other paramters (bldg hours, weather, etc.) | developed regression models to predict electric use from other variables | The results show the differences between LEED and non-LEED residuals are not as large as anticipated. |
[27] | Saldanha & O’Brien(2016), A study of energy use in New York City and LEED-certified buildings | 91 certified offices and multifamily housing facilities identified in the 2015 NYC benchmarking disclosure | 2014 | data from other buildings in same dataset (1000 office and 7400 MFH) | site EUI and source EUI | compared area-weighted mean site and source EUI | LEED bldgs used more source energy than other bldgs, 7% for offices and 30% for MFH |
[28] | Scofield & Doanes (2018), Energy performance of LEED-certified buildings from 2015 Chicago benchmarking data | 112 certified offices, K-12 Schools, and MFH identified in the 2016 Chicago benchmarking disclosure | 2015 | data from other buildings in same dataset (226 office, 375 school, and 310 MFH) | site EUI, source EUI, electric, nat. gas | area-weighted mean EUI | LEED-certified buildings show 10% reduction in site EUI but no reduction in source EUI |