The energy data is comprised of all energy and water usage and inputted in the Environmental Protection Agency’s (EPA), ENERGY STAR Portfolio Manager. This tool compares similar buildings typologies across the nation and is normalized for weather and usage to designate a score based on ranking within the percentile of the building population.
Analysis: what analytical tools and methodology you envision to use to answer the question
The analysis will look to compare peer building types to develop metrics to prioritize energy projects or quantify policy interventions across the city of New York. The methodology will likely use multivariate regression or other linear regression tools to build benchmarks and thresholds of building performance. Perhaps using a univariate linear regression model and correlation coefficient to fit a model to the data.
References: include information about papers, reports, existing work or other references that are related to your project. City of New York. (2017). Aligning New York City with the Paris Climate Agreement. July 2017. New York: City of New York.
City of New York. (2017). New York City Local Law 84 Benchmarking Report: October 2017. New York: City of New YorkU.S. Environmental Protection Agency (EPA), “ENERGY STAR Portfolio Manager Technical Reference: Greenhouse Gas Emissions.” (2013.) Retrieved from:
portfoliomanager.energystar.gov/pdf/reference/Emissions.pdf The City of New York, Mayor’s Office of Sustainability, “Inventory of New York City Greenhouse Gas Emissions in 2015.” (April, 2017.) Retrieved from:
www1.nyc.gov/assets/sustainability/downloads/pdf/ publications/NYC_GHG_Inventory_2015_FINAL.pdf
Deliverable: what is the deliverable you expect to produce (a statistical conclusion, a graphical tool, an algorithm that can be used in the future e.g. by agencies, etc.)
A building energy statistical ranking and energy benchmarking model to develop iterative policy or market interventions.