This appendix contains more detailed information about the studies that the committee relied on most heavily in formulating its findings and recommendations related to American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) standards 90.1 and 189.1 and of the Leadership in Energy and Environmental Design (LEED) and Green Globes green building certification systems. It also contains information on a literature review (Hunt, 2008) that was not otherwise cited. In all, 26 studies are described. The information provided typically includes the study goals and objectives, the methodology used, characteristics of the sample (e.g., size, location, building types), and the findings that are most relevant to the committee’s statement of task. In most cases, the studies are quoted directly, as indicated by the inclusion of page numbers in parentheses.
The studies are organized into three categories: studies on energy, water, and related factors (subcategories include studies on federal buildings and regional studies); studies on indoor environmental quality and productivity; and studies on the incremental costs to design and construct high-performance or green buildings. Those categories are not, however, exclusive, and findings from some studies could be grouped within more than one category.
STUDIES ON ENERGY, WATER, AND RELATED FACTORS
Lessons Learned from Case Studies of Six High-Performance Buildings
P.A. Torcellini, M. Deru, B. Griffith, N. Long, S. Pless, and R. Judkoff. Technical Report NREL/TP-550-37542. National Renewable Energy Laboratory, Golden, Colo. 2006.
Torcellini et al. conducted field evaluations of six high-performance buildings and compared the energy performance of each of the buildings to each other and to code-compliant base-case buildings. Each of the six new buildings used a design process that included low energy use as a design goal. Computer simulations were used for each building during the design process. (The study does not say whether these buildings were certified under a green building rating system.) After construction, energy flows were monitored for a minimum of 1 year, including lighting loads, heating, ventilation, and air-
conditioning (HVAC) loads, and plug loads. Data were tabulated every 15 minutes and the data were used to calibrate the computer simulation models. Among the study findings were the following:
Evaluating the Energy Performance of the First Generation of LEED-Certified Commercial Buildings
R. Diamond, M. Optiz, T. Hicks, B. Von Neida, and S. Herrera. Lawrence Berkeley National Laboratory: Berkeley, Calif. 2006.
This study by Diamond et al. presented an early analysis of the actual energy performance of 21 LEED-certified buildings that were certified between December 2001 and August 2005. The study does not indicate what certification levels had been achieved by individual buildings.
The study compared the modeled energy use for LEED-NC-certified buildings (data taken from the submissions required for LEED certification) against actual utility bills for the first year of operation (utility billing data were collected from 2003 to 2005). Modeled energy data were collected for both the as-designed building and the base-case building. The authors note the study is “only a preliminary guide to how LEED buildings in general are performing as a group” due to a range of issues. The issues included the sample size, the wide variation in building type (libraries, offices, multifamily, mixed use, laboratories) and building size (from 6,100 square feet to 412,000 square feet); 14 buildings were owned by the federal government, certified as LEED-NC, and located across the country; 7 buildings were commercial and concentrated mostly in the Pacific Northwest.
For the 18 buildings for which the authors had both simulated whole building design and actual purchased energy, the actual consumption was 28 percent lower than the base-case. However, there was significant variation among individual buildings, with some being more energy efficient than predicted, and some being less efficient. The actual energy use in the federal buildings was lower than the modeled
use. The authors also concluded that the number of LEED energy-efficiency points did not correlate with actual energy savings.
The authors called for a more comprehensive collection and publication of modeled use versus actual consumption data, noting that a central compilation is needed, as well as consistent applications for how the data are defined, normalized, compared, and reported.
Energy Performance of LEED for New Construction Buildings
C. Turner and M. Frankel. New Buildings Institute, White Salmon, Wash. 2008.
The U.S. Green Building Council, with support from the U.S. Environmental Protection Agency, contracted with New Buildings Institute (NBI) to review the post-occupancy energy performance of 121 LEED-NC-certified buildings. Office buildings were the dominant category in the study, but the sample also included schools, libraries, multi-use, residential, and other types of buildings. One hundred of the buildings were classified as “medium energy use activities,” while 21 buildings were described as “high energy use activities,” such as laboratories, data centers and recreation facilities. The average size of buildings was 110,000 square feet, and about half of the buildings were in the range of 25,000 to 200,000 square feet (p. 11). The results contrast with the size distribution for the national building stock as reported in the Commercial Building Energy Consumption Survey (CBECS), in which 73 percent of all buildings are less than 10,000 square feet and have an average size of 14,700 square feet (p. 12).
The study compared whole building energy use (one full year of post-occupancy energy use) with three different metrics: Energy Use Intensity (EUI) for the LEED-certified buildings to the EUIs derived for the national building stock from the 2003 CBECS; ENERGY STAR® ratings of LEED buildings; and actual energy use for the LEED-certified buildings to initial design and baseline modeling (p. 2). Some of the findings were the following:
Better feedback to the design community is needed to help calibrate energy modeling results to actual performance outcomes” (p. 32). Follow-up investigations into reasons for measured-to-design deviation and for the wide variations in modeled baseline performance could improve future modeling and benchmarking (p.5).
For this study, the participating owners were given the opportunity to survey the perception of occupants. The brief online survey used was modeled after the Buildings in Use (BIU) work, which includes a database of post-occupancy evaluations for more than 1,000 buildings (Vischer and Preiser, 2005). Occupants were asked to rate the key indoor environmental factors of acoustics, lighting, temperature, and air quality as well as overall building satisfaction. For each factor, the majority of LEED building ratings were positive and exceeded BIU normative scores. The lowest-rated area was acoustics (pp. 30-31). The authors noted that “such results are typical for office occupant surveys and often felt to be a result of open floor space plans, common in green and nongreen buildings alike” (p. 31).
Do LEED-Certified Buildings Save Energy? Yes, But …
G.R. Newsham, S. Mancini, and B. Birt. National Research Council Canada. 2009.
Newsham et al. reanalyzed the data used in the Turner and Frankel (2009) study for the 100 buildings categorized as “medium energy use activities.” Of these buildings, 38 were certified as LEED-NC-Certified, 35 as LEED-NC-Silver, and 27 as LEED-NC-Gold/Platinum. Newsham et al. added statistical rigor to the original analysis by conducting a series of t-ests. In the t-ests, each LEED-NC-certified building was paired with a single matched building (matched on the basis of activity type, size, age, and climate zone) from the CBECS database (p. 6). Multiple t-ests were conducted involving differing numbers of buildings based on the quality of the matching criteria. The authors’ conclusions were the following:
The authors noted that “these results also highlight the importance of investigating the post-occupancy performance of buildings. There is clearly no meaningful way to refine green building rating schemes so that they become more reliable without measured performance data” (p. 18).
A Re-Examination of the NBI LEED Building Energy Consumption Study
J.H. Scofield. Energy Program Evaluation Conference, Portland, Ore. 2009.
Scofield reexamined the data in the Turner and Frankel (2008) study for the 100 LEED-certified buildings classified as “medium energy use activities.” Scofield took exception to Turner and Frankel’s comparison of the mean of one distribution to the median of another and stated that “to compare the mean of one with the median of the other introduces bias by compensating for skew in only one distribution” (p. 765). He also defined mean energy intensity differently, using a gross square foot averaging method, and conducted statistical tests of the data for several subsets of the Turner and Frankel database. Scofield compared data from some of the LEED-certified buildings to the CBECS database and also to a subset of buildings from CBECS constructed between 2000 and 2003. His conclusions included the following:
Do LEED-Certified Buildings Save Energy? Not Really …
J.H. Scofield. Energy and Buildings 41(12):1386-1390. 2009.
Scofield later published a direct rebuttal to Newsham et al. in which he reanalyzed the Turner and Frankel (2008) data for a subset of 35 LEED-certified office buildings using a different methodology. Scofield focused on source energy (which accounts for both on-site energy and off-site energy losses associated with the generation and distribution of electricity), whereas the Turner and Frankel (2008) and Newsham et al. (2009) studies used site-energy only. Scofield weighted the energy intensity of each building by its gross square feet, whereas Turner and Frankel (2008) and Newsham et al. (2009) weighted the energy intensities of each building. Scofield states that these “different averaging methods yield different means, and correspondingly, give rise to significantly different conclusions when comparing mean energy intensities of various building sets” (p. 1387). He noted that the CBECS data set is dominated by the energy used by large buildings in the set. Many smaller LEED buildings do outperform non-LEED buildings of similar size, but this may be less important when looking at the total energy footprint of the building stock, simply because these smaller buildings do not contribute nearly as much in total energy used. Scofield described his concern with using building-weighted averages as used in the CBECS data set as follows:
The fallacy of using “building-weighted” averaging to characterize the energy intensity of a collection of N buildings is readily apparent when you take it to a smaller extreme. Suppose you were to divide a single building up into N rooms, some big and some small. You could calculate the energy intensity of each room separately. There are two ways to calculate the mean room energy intensity. The “gsf-weighted” method yields a mean energy intensity identical to that of the building. The “room-weighted” or unweighted average does not. It is clear that only the former makes physical sense. The same is true when considering a collection of N buildings (p. 1390).
Despite the differences in methodologies, Scofield found that LEED-NC-certified office buildings used, on average, 10 to 17 percent less site energy than comparable non-LEED buildings. He also found the following:
Scofield did not provide any data about differences in LEED building performance by level of certification.
Greening Our Built World: Costs, Benefits, and Strategies
G. Kats. Island Press, Washington, D.C. 2010.
The author analyzed data for 170 green buildings (defined as certified or anticipating LEED certification, or certification under another similar rating system). Approximately 15 percent of the 170 buildings were certified under systems such as the Massachusetts green schools guidelines, Enterprise Green Communities, or the Green Guide for Healthcare Facilities.
Data were gathered directly from building owners, architects, and developers for buildings completed between 1998 and 2009. A range of building types was included in the sample—schools, offices, healthcare, academic facilities, and others—located in 33 states and eight countries. The author synthesized the results of his 170-building survey with findings from other studies to develop estimates of net present value (NPV) benefits (p. 3).
Benefit-cost analyses and simple payback models were developed to compare life-cycle benefits with the initial cost of green design and construction. NPV benefits were calculated using a 20-year time period, a 7 percent discount rate, and 2 percent annual inflation. It was noted that the discount rate was equal to or higher than the rate at which states, the federal government, and many corporations have historically borrowed money and “thus provides a reasonable basis for calculating the current value of future benefits” (p. 4). To allow comparability of financial impacts over time, costs and benefits were expressed in terms of dollars per square foot (p. 3).
For calculating energy and water savings, the contacts for each building relied on industry standards to create a baseline for conventional buildings, against which green building savings could be measured. The building architect provided the cost premiums to allow a comparison between green building costs and the baseline. The study modeled benefits that accrued (1) directly to building owners and occupants and (2) indirectly to the surrounding communities and society at large. The author noted the limitations of the study, including the potential for bias created by the data-gathering methodology and the fact that the sample of buildings was not precisely representative of the actual inventory of green buildings nationally. In estimating long-term costs and benefits, modeled costs and projected energy and water savings data were used where actual data were not available (p. 7). Among the study findings were the following:
0 and 4 percent. The author concluded that most green buildings cost slightly more than similar conventional buildings to construct.
Studies for Federal Buildings
Assessing Green Building Performance: A Post Occupancy Evaluation of 12 GSA Buildings
K.M. Fowler and E.M. Rauch. Pacific Northwest National Laboratory, Richland, Wash. 2008.
Fowler and Rauch looked at 12 General Services Administration (GSA) buildings designed to be LEED-certified or otherwise designated as “green.” The sample included 6 office buildings, 4 courthouses, and 2 combination office/courthouse buildings located in half of GSA’s national regions. Eight of the 12 buildings were LEED-certified (6) or LEED-registered (2). (As of the summer of 2007, GSA had 19 LEED-certified buildings, so the sample represented one-third of its LEED inventory.) Of the LEED-certified buildings, 2 were LEED-NC-Certified, 2 were LEED-NC-Silver, 1 was LEED-EB-Silver, and 2 were LEED-NC-Gold (1 building was LEED registered but the level of certification was not available).
Building performance measures that were collected, normalized, and analyzed included water, energy, maintenance and operations, waste generation and recycling, occupant satisfaction, and occupant commute. The data sources for these analyses included utility bills, maintenance budgets, and an occupant survey. Twelve consecutive months of data were collected for each performance metric and then normalized using the building and site characteristics (p. ix).
Fowler and Rauch (2008) calculated aggregate operating costs (energy and water utilities, general maintenance, grounds maintenance, waste and recycling, and janitorial costs per rentable square foot) for 12 GSA green buildings and compared those costs to industry baselines. The baselines were devel-
oped from a number of sources, including data from BOMA and the International Facility Management Association (IFMA).
The occupant survey was based on the Center for the Built Environment (CBE) survey, for which there were baseline data from which to make comparisons.
Fowler and Rauch found the following:
Re-Assessing Green Building Performance: A Post-Occupancy Evaluation of 22 GSA Buildings
K.M. Fowler, M. Rauch, J.W. Henderson, and A.R. Kora. Pacific Northwest National Laboratory, Richland, Wash. 2010.
Fowler et al. included updated data from the 12 GSA green buildings included in Fowler and Rauch (2008) plus data from 10 additional green buildings. In all, the study included 8 courthouses, 12 federal buildings (office space), and 2 courthouse/federal buildings. Thirteen of the buildings were LEED-certified, 3 were LEED-registered (1 of these buildings did not specify the proposed level of certification), while the others emphasized energy efficiency during the design phase. These buildings accounted for approximately one-third of the 40 GSA buildings that were LEED-certified as of late 2009. The methodology used was generally the same as Fowler and Rauch (2008). The results were generally consistent with those of Fowler and Rauch (2008). Specifically, the authors found that for the GSA buildings:
had higher costs than the baseline, ranging from 1 to 27 percent higher. The higher costs were attributed to higher general maintenance costs and higher energy costs.
Data were available for 15 LEED-certified buildings: 2 LEED-NC-Certified, 1 LEED-EB, 6 LEED-NC-Silver, 1 LEED-EB-Silver, and 5 LEED-NC-Gold. For 5 of the 7 LEED-Silver buildings, energy use was lower for all three baselines (CBECS regional, GSA target, GSA regional). The energy use in 2 LEED-Silver buildings was higher than the CBECS regional average. For 5 of the 7 LEED-Silver buildings, water use was lower than the industry and GSA baselines. Two LEED-Silver buildings (1 with a cooling tower and 1 with evaporative cooling) had significantly higher water use than the industry average (p. xi). For 6 of the 7 LEED-Silver buildings, the aggregate operating cost was 10 to 44 percent lower than the baseline; for 1 building it was 9 percent higher than the baseline.
The LEED-Gold buildings performed consistently better than the baseline for all buildings and all metrics with one exception: one of the buildings used significantly more water than the baseline in both the 2008 and 2010 studies.
Among the authors’ conclusions were the following:
Energy Consumption Evaluation of U.S. Navy LEED-Certified Buildings
C. Menassa, S. Mangasarian, M. El Asmar, and C. Kirar. Journal of Performance of Constructed Facilities 26(1):46-53. 2012.
This study was undertaken to establish if the U.S. Navy’s LEED-certified buildings had achieved the 30 percent energy reduction required by EISA 2007 and other mandates, when compared to other buildings with similar functions and locations (p. 46). The study looked at the energy and water performance of 11 buildings operated by the Naval Facilities Engineering Command that had achieved various levels of LEED certification (3 Certified, 5 Silver, 3 Gold) by 2008. The study compared their site energy and water use to 11 NAVFAC buildings of similar size, function, and location that had not been LEED certified (p. 48). It was assumed that the comparison buildings had similar exterior facades and construction materials (p. 48). The analysis also involved comparing the electrical consumption for the LEED-certified buildings to those of the commercial building national average available from the 2003 CBECS database.
The sample of 11 buildings included a drill hall, 3 maintenance facilities, a laboratory, a child care center, 2 bachelor enlisted quarters, a golf course clubhouse, and 2 administrative buildings. The study found that:
Regional Studies
LEED Building Performance in the Cascadia Region: A Post Occupancy Evaluation Report
C. Turner. Cascadia Region Green Building Council, Portland, Ore. 2006.
This study looked at measured energy and indoor water usage (at least 1 year of utility bills) of 11 LEED-certified buildings for three metrics: actual use compared to the initial model predictions; actual use to baseline (approximate to code); and actual use compared to the ENERGY STAR® median. The study sample included 7 offices or libraries and 4 multifamily residential buildings, with a range of LEED certifications (3 LEED-NC-Certified, 4 LEED-NC-Silver, 3 LEED-NC-Gold, 1 LEED-EB-Gold). Energy and water use was measured as gross conditioned square feet (p. 3).
Initial modeling results of projected energy and water use came from the building’s LEED submittal for energy optimization and indoor water use reduction (p. 4). Savings estimates were made by comparing the actual (measured) data to the modeled usage data without further adjustment or calibration (p. 4). Savings estimates were made by comparing actual energy and water use to the modeled use levels. Baseline referred to modeled usage from the LEED Energy Cost Budget or Water Use baseline case, approximately a building similar to the initial design but constructed just to meet code requirements (p. 3). The author also calculated net present value cost savings for energy and water, assuming a 25-year time period, a discount rate of 3 percent, and constant use of energy, and assuming that utility rates increase only at the rate of inflation.
An online survey was distributed to occupants in 10 of the 11 buildings. The survey sought to determine perceptions of building indoor environmental quality in terms of temperature, air quality, lighting, noise, and plumbing fixtures.
Results of the study included the following:
The report summary states that:
Most buildings in this study are experiencing real energy savings in relation to their original baseline modeling. Most buildings are also performing well in relation to general commercial space…. The average 25-year present value of dollar savings for buildings in this study, when compared to the regional median, is $2 per square foot. However, there is a large variation in estimated savings, depending on the calculation method used (p. 15).
The majority of buildings also show some savings for indoor water usage in relation to original baseline modeling. As with the energy results, the baseline projections were not calibrated for actual occupant behavior, and wide differences between design and actual results limits the accuracy of these savings estimates (p. 15).
Occupancy surveys show high satisfaction with office buildings overall and generally positive averages for all categories other than noise conditions (p. 15).
Green Buildings in Massachusetts: Comparison Between Actual and Predicted Energy Performance
J.L.B. Sacari, U. Bhattacharjee, T. Martinez, and J. Duffy. American Solar Energy Society, Cleveland, Ohio. 2007.
Sacari et al. compared the predicted energy use (estimated during the pre-construction, design phase) to the actual energy use (utility bills for electricity and natural gas) in 19 new or renovated “green” buildings in Massachusetts compared to the Massachusetts baseline building code. They found that “most green buildings are consuming on an average 40% more energy than predicted” but “are still consuming less than a building designed to Massachusetts baseline building code” (p. 1).
The “green” buildings included 12 school buildings that were certified under the Massachusetts Collaborative for High-Performance Schools and 6 other buildings certified under the LEED rating system. The study does not provide information about the certification levels of the green buildings. Prediction data were obtained primarily from applications for funding to the Massachusetts Collaborative Technology.
Reasons given for large discrepancies between the predicted energy use and the actual energy use included the following:
Other conclusions:
The average energy consumption of most of the buildings is less than the “base case,” or the same building designed according to the minimum requirements of the energy code, but energy consumption is higher than predicted. Other factors that have attributed [sic] to the increase in energy include: budget problems, changes in end use, increase in occupancy, building modifications, energy management systems not being maximized, and selection of materials (p. 8).
In general, based on the results of this study, green buildings are contributing in very positive ways to reducing the energy and environmental impacts relative to existing buildings and minimum code buildings. But the frustration in stakeholders based on the difference between predicted and actual paid-for-energy use should be addressed mainly by communicating uncertainties in design predictions, by better training in the use of the technologies in the buildings, and by commissioning (p. 8).
Comparison of Commercial LEED Buildings and Non-LEED Buildings Within the 2002-2004 Pacific Northwest Commercial Building Stock
D. Baylon and P. Storm. Published in ACEEE Summer Study on Energy Efficiency in Buildings. 2008.
Baylon and Storm compared the performance of 24 LEED-certified buildings constructed between 2002 and 2005 in the Pacific Northwest (Washington, Oregon, and Idaho) to a larger sample of contemporary buildings built to local codes. The LEED system at that time incorporated ASHRAE 90.1-1999 as the base for energy performance. Most of these buildings had been occupied for at least 2 years, and the researchers compared actual site energy use for the two samples. The authors note that “whereas typical LEED comparisons focus on differences between LEED building features and national code (or building performance and initial modeling, this paper is focused on the regional relevance of the LEED standard and implementation” (p. 4-1).
The LEED buildings in the sample saved 12 percent more energy than the comparison group. The authors noted that energy codes in Washington and Oregon were more stringent than ASHRAE 90.1-1999 (p. 4-1). The sample of LEED buildings included 9 different building types; the study did not provide information about the certification levels.
Regional Green Building Case Study Project: A Post-Occupancy Study of LEED Projects in Illinois
D. Widener. U.S. Green Building Council, Chicago Chapter, Chicago, Ill. 2009.
Widener analyzed the post-occupancy performance and costs and benefits of 25 LEED-certified projects related to measured site energy and greenhouse gas emissions, water, commute transportation, construction and operating costs, green premium, health and productivity impacts, and occupant comfort. The study collected multiple years of post-occupancy data. The 25 projects represent projects certified at all LEED levels and programs: new construction; existing buildings; commercial interiors, and core and shell. The projects ranged in size from 3,200 square feet to 4.2 million square feet and included buildings used for education, lodging, mixed use, office public assembly, public safety, and other (p. i). Most participating projects had been certified under LEED versions 2.0 or 2.1. The study did not identify specific LEED-certification levels (i.e., Certified, Silver, Gold, or Platinum).
Two types of site energy analysis—whole project energy use and partial energy use projects—were conducted. The metric used was site energy use intensity and was measured as kBtu/square foot/per year for all fuels. Seventeen projects classified as whole project energy use projects—those where complete site energy data were provided for a building or project space, including heating/cooling, lighting, and load attributed to the building occupants—were analyzed. Eight projects where only partial site energy data were provided were also analyzed. The study found that the median EUI was 94 kBtu/square foot/year for whole energy projects, which was approximately 5 percent lower than the regional CBECS Midwest average. The median EUI for partial projects was 38 kBtu/square foot/year, which was 7 percent lower than the CBECS Midwest average.
Among the conclusions of the study were the following:
Specifically related to energy performance, many Illinois LEED projects perform better than conventional commercial interiors and buildings, but as with conventional buildings there is a large variation amongst projects. A significant finding is that the Illinois LEED whole project energy use projects that achieved a higher number of EA Credit 1 (LEED-NC) points performed better. This finding makes sense; projects that prioritize energy efficiency as a key LEED strategy are likely to perform better than those projects that do not focus on energy efficiency or choose to prioritize points in other LEED categories (p. v).
Since every building is unique in its use, occupancy, operations, maintenance, and systems, actual post-occupancy measured performance that reflects actual operating conditions of the specific building will be the best benchmark. Other benchmarks, such as comparisons to other buildings (LEED and non-LEED, including CBECS and ENERGY STAR®) or any modeled predictions are temporal or limited in use, even as methodologies and data sets evolve to provide more accurate comparisons (p. v).
Regularly collecting and analyzing building performance post-occupancy is a critical component in operating a green, high-performance building (p. v).
Postoccupancy Energy Consumption Survey of Arizona’s LEED New Construction Population.
D. Oates and K.T. Sullivan. Journal of Construction Engineering and Management 138:742-750. 2012.
This technical paper examines 47 percent of Arizona’s 53 LEED-NC-certified buildings in an effort to determine if Arizona’s LEED-NC-certified buildings achieve expected energy performance, how they compare with the existing building population, and whether either system or managerial variables demonstrate efficiency correlations.
Oates and Sullivan (2012) conducted post-occupancy energy consumption surveys for 25 LEED-NC-certified buildings in Arizona. The sample included seven types of buildings that had been certified under LEED versions 2.0, 2.1, and 2.2 and that had been in operation for at least 1 year as of October 2009. Areas of analysis included total site and source energy use intensity, standard mean and gross square foot weighted mean, and comparisons by climate zone. Actual energy performance of those buildings as measured by EUI for source and site energy was compared to national averages from the CBECS database. The CBECS data were normalized to match the gross square feet weights for each building type in the LEED sample.
The LEED building sample was also characterized principal building activity to separate medium-energy-intensity (19) and high-energy-intensity (6) structures. Medium-energy-intensity buildings included office buildings, education structures, and the like. The high-energy-intensity structures were all laboratories. The authors noted that two buildings accounted for 40 percent of the total data set’s gross square footage and 51 percent of the gross square footage in the medium-energy-intensity subset, which would skew the results.
The 19 building medium-energy-intensity group was analyzed separately from the high-energy group of 6 buildings. The high-energy-intensity subset was not analyzed because the sample size was too small.) Variables tested for the medium-energy-intensity group included site EUI, source EUI, gross square feet, occupants per square foot, total number of awarded LEED credits, total number of LEED Energy and Atmosphere Credits, the facility manager’s years of experience, the number of buildings managed by the facility manager, and others.
The authors found that the 19 medium-energy-intensity LEED-certified buildings used 13 percent less site energy and 1 percent less source energy than the CBECS comparison group. Of the 19 buildings for which the design and baseline model simulations were available, only one used less energy than had been predicted in the design case and only four used less energy than the baseline simulation.
Other findings were the following:
STUDIES RELATED TO INDOOR ENVIRONMENTAL QUALITY AND PRODUCTIVITY
Occupant Satisfaction with Indoor Environmental Quality in Green Buildings
S. Abbaszadeh, L. Zagreus, D. Lehrer, and C. Huizenga. Proceedings of Healthy Buildings, Lisbon. Volume III, pp. 365-370. 2006.
Abbaszadeh et al. looked at occupant satisfaction in green office buildings in comparison to occupant satisfaction in conventional buildings. They asked the occupants directly (through Center for the Built Environment (CBE) surveys) about their satisfaction with indoor environmental quality (IEQ) in their workspace.
The CBE database as of 2005 contained 181 buildings and 33,285 respondents (average 46 percent response rate). Within the CBE database, 15 office buildings were identified as LEED-certified and 6 additional buildings were reported as green, based on the receipt of national or local green building or energy efficiency awards. Together, those 21 buildings comprised one comparison group. The other comparison group consisted of the remaining buildings in the database, referred to as non-green buildings.
The study focused on occupant satisfaction with thermal comfort, air quality, lighting, and acoustics. The authors noted that “self-reported productivity scores follow the same pattern as those of satisfaction— productivity scores are high where satisfaction is high, and low where satisfaction scores are low” (p. 366).
Among the findings, were the following:
Green Buildings and Productivity
M.G. Miller, D. Pogue, Q.D. Gough, and S.M. Davis. Journal of Sustainable Real Estate 1(1):65-89. 2009.
Miller et al. summarized a literature search on various aspects of productivity (e.g., health and productivity, telecommuting and productivity, productivity gains from technology or economic pressure). They also outlined some of the difficulties of measuring productivity, especially for people performing knowledge-intensive work where the inputs and outputs are not easily quantifiable. “This is because direct measurement for professionals in an office environment requires the monitoring of (1) the ability to focus and think, synthesize, and add value to the firm; (2) the ability to measure the contribution of individuals that likely work in a team environment; and (3) the ability to monitor the quality of work as well as the efficiency and output” (p. 66).
Miller et al. also summarized the results of an empirical study. For that study, they hypothesized that green buildings (ENERGY STAR® label or LEED certification, any level) provided more productive
environments for workers than conventional buildings. Two measures of productivity were used: sick days and the self-reported productivity percentage after moving to a new building. The authors noted that the survey and its results were preliminary.
The survey was conducted in 154 buildings that contained more than 2,000 tenants. Some 534 tenant responses were collected from buildings located across the United States. Miller et al. found that 55 percent of the respondents agreed or strongly agreed that employees in green buildings were more productive, while 45 percent suggested no change (p. 81). They also found that 45 percent of the respondents agreed that workers were taking fewer sick days than before moving to a green building, while 45 percent found it was the same as before and 10 percent reported more sick days (all in ENERGY STAR®-labeled buildings).
Miller et al. also calculated the economic impacts of those tenants who claimed an increase in productivity. Economic impacts were “based on salaries that approach the cost of rent using a very conservative square foot per worker assumption” (p. 81).
A Comparison of the Performance of Sustainable Buildings with Conventional Buildings from the Point of View of the Users
G. Baird, A. Leaman, and J. Thompson. Architectural Science Review 55(2): 135-144. 2012.
Baird et al. sought to determine whether users perceived sustainable buildings to perform differently from conventionally designed buildings. The questionnaire used was the standard two-page questionnaire developed by the Buildings in Use (BIU) study for office buildings. The questionnaire included 45 questions grouped into several categories, including environmental (temperature, noise/acoustics, lighting) and overall satisfaction (design, needs, comfort overall, productivity, and health). The questions typically asked occupants to rate a factor on a scale of 1 to 7, with 1 being unsatisfactory and 7 being ideal.
The set of sustainably designed buildings included 31 commercial and institutional buildings located in 11 different countries. All of the buildings were either recipients of national awards for sustainable design or highly rated in terms of their country’s building sustainability rating tool(s) or had pioneered some aspect of green architecture. The buildings ranged in size from 1,000 to 20,000 square meters and were occupied by 15 to 350 staff. Fifteen of the buildings were predominantly office use, 10 were academic teaching buildings, 4 housed laboratories or research organizations, and 2 contained a combination of light industrial and administrative functions. Surveys were gathered from 2,035 staff members.
The comparison set consisted of 109 conventional buildings selected from the BIU database that had been surveyed during a similar time period as the sustainable buildings. Included were buildings occupied by 15 to 1,100 occupants and office, light industrial, visitor center, and academic activities. The independent t-test was used to determine whether differences between the mean values for the various aspects were statistically significant. Among the authors’ findings were the following:
STUDIES ON THE INCREMENTAL COSTS TO DESIGN AND CONSTRUCT HIGH-PERFORMANCE OR GREEN BUILDINGS
Costing Green: A Comprehensive Cost Database and Budgeting Methodology
L.F. Matthiessen and P. Morris. Davis Langdon Company, Los Angeles, Calif. 2004.
Matthiessen and Morris undertook a study with the goal of comparing construction costs of buildings where LEED certification was a primary goal to the costs of similar buildings where LEED was not considered during design. The authors studied 93 non-LEED and 45 LEED-seeking buildings for which data were gathered from the database of the Davis Langdon Company. All costs were normalized for time and location to ensure consistency for the comparisons. They noted that the non-LEED buildings all would have earned some LEED points by virtue of their basic design, but sustainability had not been the intent. Among their conclusions were the following:
Cost of Green Revisited: Reexamining the Feasibility and Cost Impact of Sustainable Design in Light of Increased Market Adoption
L.F. Matthiessen and P. Morris. Davis Langdon Company, Los Angeles, Calif. 2007.
This study compared the construction costs of 83 buildings seeking LEED 2.1 and 2.2 New Construction certification to 138 non-LEED-seeking buildings. The building types included academic classroom buildings (17 LEED-seeking, 43 non-LEED seeking), laboratories (26/44), libraries (25/32), community centers (9/9), and ambulatory care facilities (9/8). The costs were normalized for time and location. Some of the findings from the study were the following:
The Economics of LEED for Existing Buildings for Individual Buildings
Leonardo Academy, Inc., Madison, Wis. 2008.
The authors presented survey data for 11 to 13 buildings certified under the LEED-EB program. The data were provided by the owners or managers of the buildings for 2006-2007. The white paper focused on the certification, implementation, and process costs for LEED-EB certification and an operating cost comparison.
In terms of the costs to certify, implement, and process LEED-EB certifications, data from 13 buildings were available. The authors found that the average cost for LEED-EB implementation and certification was $1.58 per square foot, while the median was $1.52 per square foot. However, the certification costs varied significantly from building to building, from $0.02 per square foot to $5.01 per square foot (p. 5). The authors note that “the results do not follow expectations of higher costs for higher certification levels, but this may be due to the very small sample size at this time” (p. 7).
In this study, operating costs included cleaning expenses, repair and maintenance expenses, roads/grounds expenses, security expenses, and administrative and utility expenses. Data for 11 buildings, all of which had a significant component of office space, were collected and compared to the operating costs in the Building Owners and Managers Association’s (BOMA’s) Experience Exchange Report. The authors found that “in all categories of operating costs, more than 50% of the LEED-EB buildings have expenses less than the BOMA average for the region. Total expenses per square foot of the LEED-EB buildings are less than the BOMA average for 7 of the 11 buildings” (p. 21).
GSA LEED Cost Study
Steven Winter Associates. 2004.
This study was undertaken to estimate the costs to develop “green” federal buildings using LEED 2.1. The report provides a detailed and structured review of both the capital and soft cost implications of achieving Certified, Silver, and Gold LEED-ratings for the two building types most commonly constructed by the GSA: a five-story courthouse and a mid-rise federal office building.
For both building types, baseline construction costs were developed to reflect federal design requirements. An analysis was performed to identify the incremental costs associated with green building measures that would likely be implemented to meet the specific LEED prerequisite and credit requirements.
Individual LEED credit assessments and cost estimates were completed for six scenarios to create a cost range for LEED-Certified, -Silver, and -Gold certification levels. The study indicated that there was an inherent degree of variability to LEED construction cost impacts, based on the following findings:
The authors concluded that many Silver-certified projects could be built at a cost that was within 4 percent of the cost for a similar non-LEED-certified courthouse or office building, as well as occasional LEED-Gold-certified projects (p. 8).
LEED Cost Evaluation Study
Indian Health Service. Department of Health and Human Services. 2006.
The U.S. Indian Health Service (HIS) conducted this study to evaluate the potential cost impacts of achieving LEED-NC and LEED-NC-Silver certification on its facilities, which are primarily hospitals and other healthcare-related buildings. They evaluated both initial capital cost investments and life-cycle costs (using a 20-year life). The purpose was to develop realistic cost factors for the implementation of LEED certification in the IHS budget estimating system so that projects could be adequately funded up-front for this purpose. For the study, LEED credits were evaluated against standard practices of the Indian Health Service as outlined in the agency’s design guide.
Among the study findings were the following:
The authors of the study made the following recommendation:
It is advisable for IHS to adopt LEED certification in pursuit of sustainable design and adjust project budgets accordingly. Doing so provides a measurable benchmark for determining success. LEED is widely known, has significant credibility within the private and public sectors, provides third-party validation and provides recognition for the agency, affiliated tribes, and communities. Flexibility in the LEED process facilitates multiple avenues for achieving a basic certification under disparate circumstances, site conditions, and geographic locations…. a 3.0% increase to the project budget is appropriate to pursue a basic [Certified level] certification (p. ES-3).
MILCON Energy Efficiency and Sustainability Study of Five Types of Army Buildings
D.M. Caprio and A.B. Soulek. U.S. Army Corps of Engineers, Washington, D.C. 2011.
This study investigated current building features and construction methods and materials that will optimize energy reduction and sustainability for new construction standard designs in FY2013. The standard designs were for the five most commonly constructed Army building types: unaccompanied enlisted personnel housing (barracks); tactical equipment maintenance facility; company operations facility (government office and other public assembly); brigade headquarters (government office and data center); and dining facility. Among the goals for the study were the following:
The selected standard designs were required to meet all applicable energy reduction and sustainable design mandates (e.g., LEED Silver, Energy Policy Act of 2005, EISA 2007, and Executive Orders 13423 and 13514). The requirements were to “optimize the mission, function, quality, and cost” of each building design type. The baseline designs were amended and supplemented to include antiterrorism and force protection and select Department of Defense Unified Security Criteria, among other factors, and the designs were evaluated for full mission scope and full energy and sustainability compliance.
The authors noted difficulties in establishing a clearly defined baseline for determining energy performance because “these buildings do not have equivalent building categories within CBECS” and because of initial confusion over the different energy baselines found in ASHRAE standards (modeled building energy), and Section 433 of EISA 2007, which is based on measured building and plug load energy (p. v).
Energy simulations were completed using Energy Plus version 5.0 (DOE, 2010). Each energy-efficiency measure (EEM) was modeled independently; packages of energy-efficiency improvements were also modeled because the savings from each individual measure are not additive (p. 3). EEMs were modeled for each building type across 15 locations representative of the climate zones that serve as the basis for the development of ASHRAE standards.
The authors note that “the study was able to show the energy effectiveness of a range of efficiency measures, but it was not able to show the cost effectiveness of individual measures, nor was it able to optimize the designs for the highest energy performance at the lowest costs. This typically is done early in the design phase.” The results were based on total energy use as opposed to the fossil-fuel-based portion of total energy use alone (p. 1).
Among the study conclusions were the following:
Incremental Costs of Meeting ASHRAE Standard 189.1 at Air Force Facilities
Logistics Management Institute, Reston, Va. 2011.
The authors sought to determine the incremental up-front construction cost to the Air Force (AF) of adhering to ASHRAE Standard 189.1 for High-Performance Green Buildings Except Low Rise Residential. Their purpose was to identify aspects of ASHRAE Standard 189.1 that could be included in Air Force Construction Criteria. Case studies for four different types of facilities in four different climate zones were conducted. Among the study findings were the following:
Literature Review of Data on the Incremental Costs to Design and Build Low-Energy Buildings
W.D. Hunt. PNNL-17502. Pacific Northwest National Laboratory, Richland, Wash. 2008.
Hunt conducted a literature review on the incremental costs to design and build low-energy buildings as opposed to green or sustainable buildings. For this review, a low-energy building was defined as one that “achieves 30 to 50 percent energy savings when compared to a building built to ASHRAE Standard 90.1-2004.”
Among the findings were the following: