TY - JOUR
T1 - Relationship between energy and atmosphere (Ea) credits and project size in the LEED‐NC version 3 (v3) and 4 (v4) projects
AU - Pushkar, Svetlana
N1 - Publisher Copyright:
© 2021 by the author. Licensee MDPI, Basel, Switzerland.
PY - 2021/3
Y1 - 2021/3
N2 - This study aims to explore the influence of project size on the Energy and Atmosphere (EA) credits in the Leadership in Energy and Environmental Design for New Construction and Major Renovations (LEED‐NC) version 3 (v3) in California and version 4 (v4) in the United States (US) in office‐type projects. If the relationship between the ordinal data of EA credits and project size changed monotonically, then Spearman’s correlation coefficient was used. If the relationship between the EA credits ordinal data and project size did not change monotonically, then the EA credit data were divided into below and above the median project size groups, and, as a consequence, the Cliff′s δ effect size and exact Wilcoxon–Mann–Whitney tests were used. If the EA credits were binary or dichotomous data, then the natural logarithm of the odds ratio and Fisher’s exact 2 × 2 test with Lancaster’s mid‐p‐value were used. The results showed that the performance of operational energy, enhanced the refrigerant management and that the renewable energy credits in LEED‐NC v3/v4 Certified, Silver, and Gold projects depended on the project size. We concluded that the LEED project size is an important variable for developing LEED‐NC strategies for office‐type projects.
AB - This study aims to explore the influence of project size on the Energy and Atmosphere (EA) credits in the Leadership in Energy and Environmental Design for New Construction and Major Renovations (LEED‐NC) version 3 (v3) in California and version 4 (v4) in the United States (US) in office‐type projects. If the relationship between the ordinal data of EA credits and project size changed monotonically, then Spearman’s correlation coefficient was used. If the relationship between the EA credits ordinal data and project size did not change monotonically, then the EA credit data were divided into below and above the median project size groups, and, as a consequence, the Cliff′s δ effect size and exact Wilcoxon–Mann–Whitney tests were used. If the EA credits were binary or dichotomous data, then the natural logarithm of the odds ratio and Fisher’s exact 2 × 2 test with Lancaster’s mid‐p‐value were used. The results showed that the performance of operational energy, enhanced the refrigerant management and that the renewable energy credits in LEED‐NC v3/v4 Certified, Silver, and Gold projects depended on the project size. We concluded that the LEED project size is an important variable for developing LEED‐NC strategies for office‐type projects.
KW - Energy and atmosphere credits
KW - LEED‐NC v3
KW - LEED‐NC v4
KW - Office‐type projects
KW - Project size
UR - http://www.scopus.com/inward/record.url?scp=85103038868&partnerID=8YFLogxK
U2 - 10.3390/buildings11030114
DO - 10.3390/buildings11030114
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AN - SCOPUS:85103038868
SN - 2075-5309
VL - 11
JO - Buildings
JF - Buildings
IS - 3
M1 - 114
ER -