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Featured researches published by Supriya Goel.


Archive | 2014

Enhancements to ASHRAE Standard 90.1 Prototype Building Models

Supriya Goel; Rahul A. Athalye; Weimin Wang; Jian Zhang; Michael I. Rosenberg; YuLong Xie; Philip R. Hart; Vrushali V. Mendon

This report focuses on enhancements to prototype building models used to determine the energy impact of various versions of ANSI/ASHRAE/IES Standard 90.1. Since the last publication of the prototype building models, PNNL has made numerous enhancements to the original prototype models compliant with the 2004, 2007, and 2010 editions of Standard 90.1. Those enhancements are described here and were made for several reasons: (1) to change or improve prototype design assumptions; (2) to improve the simulation accuracy; (3) to improve the simulation infrastructure; and (4) to add additional detail to the models needed to capture certain energy impacts from Standard 90.1 improvements. These enhancements impact simulated prototype energy use, and consequently impact the savings estimated from edition to edition of Standard 90.1.


Archive | 2015

Energy and Energy Cost Savings Analysis of the IECC for Commercial Buildings

Jian Zhang; Rahul A. Athalye; Philip R. Hart; Michael I. Rosenberg; YuLong Xie; Supriya Goel; Vrushali V. Mendon; Bing Liu

The purpose of this analysis is to assess the relative energy and energy cost performance of commercial buildings designed to meet the requirements found in the commercial energy efficiency provisions of the International Energy Conservation Code (IECC). Section 304(b) of the Energy Conservation and Production Act (ECPA), as amended, requires the Secretary of Energy to make a determination each time a revised version of ASHRAE Standard 90.1 is published with respect to whether the revised standard would improve energy efficiency in commercial buildings. As many states have historically adopted the IECC for both residential and commercial buildings, PNNL has evaluated the impacts of the commercial provisions of the 2006, 2009, and 2012 editions of the IECC. PNNL also compared energy performance with corresponding editions of ANSI/ASHRAE/IES Standard 90.1 to help states and local jurisdictions make informed decisions regarding model code adoption.


Journal of Building Performance Simulation | 2018

Development of building energy asset rating using stock modelling in the USA

Na Wang; Supriya Goel; Atefe Makhmalbaf; Nicholas Long

The US Building Energy Asset Score helps building stakeholders quickly gain insight into the efficiency of building systems (envelope, electrical and mechanical systems). A robust, easy-to-understand 10-point scoring system was developed to facilitate an unbiased comparison of similar building types across the country. The Asset Score does not rely on a database or specific building baselines to establish a rating. Rather, distributions of energy use intensity (EUI) for various building use types were constructed using Latin hypercube sampling and converted to a series of stepped linear scales to score buildings. A score is calculated based on the modelled source EUI after adjusting for climate. A web-based scoring tool, which incorporates an analytical engine and a simulation engine, was developed to standardize energy modelling and reduce implementation cost. This paper discusses the methodology used to perform several hundred thousand building simulation runs and develop the scoring scales.


Archive | 2014

ANSI/ASHRAE/IES Standard 90.1-2013 Determination of Energy Savings: Qualitative Analysis

Mark A. Halverson; Rahul A. Athalye; Michael I. Rosenberg; YuLong Xie; Weimin Wang; Philip R. Hart; Jian Zhang; Supriya Goel; Vrushali V. Mendon

This report provides a final quantitative analysis to assess whether buildings constructed according to the requirements of ANSI/ASHRAE/IES Standard 90.1-2013 would result in improved energy efficiency in commercial buildings. The final analysis considered each of the 110 addenda to Standard 90.1-2010 that were included in Standard 90.1-2013. PNNL reviewed all addenda included by ASHRAE in creating Standard 90.1-2013 from Standard 90.1-2010, and considered their combined impact on a suite of prototype building models across all U.S. climate zones. Most addenda were deemed to have little quantifiable impact on building efficiency for the purpose of DOE’s final determination. However, out of the 110 total addenda, 30 were identified as having a measureable and quantifiable impact.


Archive | 2014

Smart and Green Energy (SAGE) for Base Camps Final Report

Matthias Engels; Paul A. Boyd; Theresa M. Koehler; Supriya Goel; Daniel R. Sisk; Darrel D. Hatley; Vrushali V. Mendon; John C. Hail

The U.S. Army Logistics Innovation Agency’s (LIA’s) Smart and Green Energy (SAGE) for Base Camps project was to investigate how base camps’ fuel consumption can be reduced by 30% to 60% using commercial off-the-shelf (COTS) technologies for power generation, renewables, and energy efficient building systems. Field tests and calibrated energy models successfully demonstrated that the fuel reductions are achievable.


ASHRAE Transactions, 119(pt. 2):Paper No. DE-13-C030 | 2013

Understanding Building Infrastructure and Building Operation through DOE Asset Score Model: Lessons Learned from a Pilot Project

Na Wang; Supriya Goel; Willy J. Gorrissen; Atefe Makhmalbaf


Energy and Buildings | 2018

Streamlining building energy efficiency assessment through integration of uncertainty analysis and full scale energy simulations

Supriya Goel; Henry Horsey; Na Wang; Juan Gonzalez; Nicholas Long; Katherine Fleming


Ashrae Journal | 2018

Food Service Building Asset Rating Methodology and Analysis

Supriya Goel; Juan Gonzalez Matamoros; Alex Vlachokostas; Nora Wang


Proceedings of SimBuild | 2016

BUILDING EFFICIENCY EVALUATION AND UNCERTAINTY ANALYSIS WITH DOE’S ASSET SCORE PREVIEW

Supriya Goel; Nora Wang; Henry Horsey; Nicholas Long


Proceedings of SimBuild | 2016

DEVELOPING A DETAILED RULESET FOR USE IN AUTOMATING THE PERFORMANCE RATING METHOD OF ASHRAE STANDARD 90.1-2010

Supriya Goel; Michael I. Rosenberg; Bing Liu; Dimitri Contoyannis; Noah Czech

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Michael I. Rosenberg

Pacific Northwest National Laboratory

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Vrushali V. Mendon

Pacific Northwest National Laboratory

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Na Wang

Pacific Northwest National Laboratory

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Nicholas Long

National Renewable Energy Laboratory

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YuLong Xie

Pacific Northwest National Laboratory

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Atefe Makhmalbaf

Pacific Northwest National Laboratory

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Bing Liu

Pacific Northwest National Laboratory

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Henry Horsey

National Renewable Energy Laboratory

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Nora Wang

Pacific Northwest National Laboratory

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Daniel R. Sisk

Pacific Northwest National Laboratory

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