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A High-Granularity Approach to Modeling Energy Consumption and Savings Potential in the U.S. Residential Building Stock

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Conference Proceeding by ASHRAE, 2016

Category:

Description

Building simulations are increasingly used in various applications related to energy efficient buildings. For individual buildings, applications include: design of new buildings, prediction of retrofit savings, ratings, performance path code compliance and qualification for incentives. Beyond individual building applications, larger scale applications (across the stock of buildings at various scales: national, regional and state) include: codes and standards development, utility program design, regional/state planning, and technology assessments. For these sorts of applications, representative buildings are needed for simulations to predict performance of the entire population of buildings.
Focusing on the U.S. single-family residential building stock, this paper will describe how multiple data sources for building characteristics are combined into a highly-granular database that preserves the important interdependencies of the characteristics. We will present the sampling technique used to generate a representative set of thousands (up to hundreds of thousands) of building models. We will also present results of validation against building stock consumption data.

Citation: ASHRAE/IBPSA-USA Bldg Simulation Conf, 2016

Product Details

Edition:
2016
Published:
2016
Number of Pages:
8
Units of Measure:
Dual
File Size:
1 file , 650 KB
Product Code(s):
D-BSC16-53