2019 energy benchmarking data for LEED-certified buildings in Washington, D.C.: Simulation and reality

2021 ◽  
Vol 42 ◽  
pp. 102475
Author(s):  
Ming Hu
Keyword(s):  
Facilities ◽  
2018 ◽  
Vol 36 (11/12) ◽  
pp. 571-583
Author(s):  
Eunhwa Yang ◽  
Yong-Cheol Lee ◽  
Qi Li

Purpose This paper aims to primarily analyzing the state and pattern of current energy benchmarking progress on commercial buildings since the New York City’s energy disclosure law, Local Law 84: Benchmarking has been implemented. It then compares the yearly benchmarking progress of Leadership in Energy and Environmental Design (LEED)-certified and non-LEED-certified buildings as well as ENERGY STAR-certified and non-ENERGY STAR-certified. Design/methodology/approach For thorough analytics, the authors combined and examined four sources of data: New York City Local Law 84: Benchmarking, Primary Land Use Tax Lot Output, US Green Building Council and US Environmental Protection Agency. The data sets were combined using two primary keys: the Borough, Block, Lot (BBL) number and the building address. Four years of energy use intensity values were obtained and normalized by shrinking the range of deviance in weather. Findings The findings indicate a significant improvement in the benchmarking progress when controlling building size, building type, year of construction or the most recent renovation and the presence of renovation. Interestingly, there is no significant difference in the energy benchmarking progress between LEED- and non-LEED-certified buildings. Possible reasons are explored and discussed. Originality/value From a methodological perspective, the study benefited from data disclosure as well as open data sources and used secondary data with a relatively large sample size. Many studies in the construction industry are based on the case-study approach, which may affect generalizability and causality of research findings. This unique approach illustrates the potential of secondary data analysis in the industry.


2021 ◽  
Vol 18 (1) ◽  
pp. 95-114
Author(s):  
Ana Radojevic ◽  
Danijela Nikolic ◽  
Jasna Radulovic ◽  
Jasmina Skerlic

The implementation of energy efficiency measures and use of renewable energy sources in educational buildings can significantly contribute to reducing energy consumption, but also to CO2 emissions in the entire public sector. The paper shows the comparison of energy consumption indicators for 61 elementary school buildings which have previously been divided in 12 groups, according to the period of construction and size, based on the national typology called TABULA, as the first step of further study on how to use the renewable energy sources. The aim of this paper is to use the energy benchmarking process to select representative facilities which are suitable for applying renewable energy sources, for their further energy efficiency improvement. Indicators of annual specific electricity consumption and CO2 emissions per unit area [kWh/m2] and per user [kWh/user] were calculated. After that, from two groups (in which the highest electricity consumption and CO2 emissions are 68.37% and 74.53% of the total consumption/ emissions), one representative facility was selected.


2021 ◽  
Author(s):  
Carleen Lawson

From 2009-2015, REALPAC collected monthly energy usage and building characteristics for over 500 buildings in the 20 by ‘15 Energy Benchmarking Survey (REALPAC, 2009). While preliminary analysis had been completed on this dataset, this research undertook an in-depth statistical analysis of the data to identify trends and important variables. Eight machine learning algorithms were employed to predict energy usage as a function of previous energy use and select physical features. The dataset did not possess the appropriate variables to predict such usage accurately. Characteristics such as building system efficiency, construction assemblies, condition, compactness, and window to wall ratio are thus recommended for inclusion in future data-gathering initiatives. https://digital.library.ryerson.ca/islandora/object/RULA:8631/datastream/LAW_RSCR-4.80MB/view https://digital.library.ryerson.ca/islandora/object/RULA:8631/datastream/LAW-ExTa-428KB/view https://digital.library.ryerson.ca/islandora/object/RULA:8631/datastream/LAW-ExGa-5.62MB/view https://digital.library.ryerson.ca/islandora/object/RULA:8631/datastream/LAW-DATA-1.9MB/view


2001 ◽  
Vol 98 (2) ◽  
pp. 38-52
Author(s):  
George S. Birchfield
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document