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NOx Emissions Impacts from Widespread Deployment of CHP in ...

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2.0. Commercial and Institutional Build<strong>in</strong>gs<br />

<strong>NOx</strong> <strong>Emissions</strong> Report<br />

Many commercial and <strong>in</strong>stitutional facilities, because <strong>of</strong> their energy use pr<strong>of</strong>iles and<br />

needs, are potential candidates for <strong>CHP</strong> adoption. In particular, hospitals and hotels <strong>of</strong>fer<br />

some <strong>of</strong> the greatest potential for <strong>CHP</strong> due to their need for hot water. Schools, <strong>of</strong>fice<br />

build<strong>in</strong>gs, and large retail facilities can also be good <strong>CHP</strong> prospects, although typically<br />

with somewhat longer payback periods.<br />

To estimate the potential <strong>NOx</strong> emissions impact <strong>from</strong> implementation <strong>of</strong> <strong>CHP</strong> across the<br />

commercial and <strong>in</strong>stitutional build<strong>in</strong>g stock <strong>in</strong> HGB, the exist<strong>in</strong>g build<strong>in</strong>g stock was<br />

evaluated and screened for <strong>CHP</strong> potential. A comb<strong>in</strong>ation <strong>of</strong> general <strong>in</strong>dustry guidel<strong>in</strong>es<br />

comb<strong>in</strong>ed with computer model<strong>in</strong>g was used to determ<strong>in</strong>e the build<strong>in</strong>g types suitable for<br />

<strong>CHP</strong> and to estimate the size and configuration <strong>of</strong> the <strong>CHP</strong> system. Only those build<strong>in</strong>gs<br />

thought to <strong>of</strong>fer reasonable technical and f<strong>in</strong>ancial justification to adopt <strong>CHP</strong> were<br />

considered <strong>in</strong> the study. The methodology used <strong>in</strong> the study <strong>in</strong>cludes the follow<strong>in</strong>g steps:<br />

• Survey and analyze the exist<strong>in</strong>g HGB build<strong>in</strong>g stock<br />

• Select build<strong>in</strong>g types with reasonable <strong>CHP</strong> potential<br />

• Establish prototypical build<strong>in</strong>g types and characteristics for selected build<strong>in</strong>gs<br />

• Model build<strong>in</strong>g energy use for basel<strong>in</strong>e and <strong>CHP</strong> cases (multiple operat<strong>in</strong>g<br />

scenarios)<br />

• Estimate a range <strong>of</strong> <strong>NOx</strong> emissions impacts expected for each prototype<br />

• Estimate total <strong>NOx</strong> impact by consider<strong>in</strong>g the exist<strong>in</strong>g build<strong>in</strong>g type count<br />

A detailed description <strong>of</strong> the methodology <strong>in</strong>clud<strong>in</strong>g models, tools, databases,<br />

assumptions, and scenarios used <strong>in</strong> the analysis is provided below.<br />

2.1 Identify<strong>in</strong>g Candidate Facilities<br />

The identification <strong>of</strong> build<strong>in</strong>g types and facilities potentially suitable for <strong>CHP</strong> system<br />

development required a survey and analysis <strong>of</strong> the commercial and <strong>in</strong>stitutional build<strong>in</strong>g<br />

stock <strong>in</strong> HGB. The build<strong>in</strong>g stock was broadly considered and screened for <strong>CHP</strong><br />

viability. Those build<strong>in</strong>g types that met the follow<strong>in</strong>g criteria were selected for further<br />

analysis:<br />

• The build<strong>in</strong>g type exhibited technical and operat<strong>in</strong>g requirements that are<br />

generally thought to provide reasonable justification <strong>in</strong> support <strong>of</strong> <strong>CHP</strong><br />

development<br />

• The build<strong>in</strong>g type exists <strong>in</strong> sufficient numbers <strong>in</strong> the HGB region such that a<br />

penetration <strong>of</strong> <strong>CHP</strong> systems would generate a mean<strong>in</strong>gful impact<br />

Commercial and <strong>in</strong>stitutional build<strong>in</strong>gs with<strong>in</strong> the greater Houston region were <strong>in</strong>itially<br />

identified by exam<strong>in</strong><strong>in</strong>g the 2006 <strong>in</strong>foUSA Bus<strong>in</strong>ess/Employer database for the region.<br />

The database, which is licensed to the Houston-Galveston Area Council (H-GAC) and its<br />

Geographic Data Committee (GDC), <strong>of</strong> which HARC is a member, is the most up-to-date<br />

and comprehensive database <strong>of</strong> area bus<strong>in</strong>esses. It conta<strong>in</strong>s detailed <strong>in</strong>formation on more<br />

11

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