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

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

operat<strong>in</strong>g scenarios. Group<strong>in</strong>gs with<strong>in</strong> build<strong>in</strong>g cluster types, such as hospitals (small,<br />

medium, and large), were determ<strong>in</strong>ed by both the calculated m<strong>in</strong>imum build<strong>in</strong>g sizes for<br />

feasible <strong>CHP</strong> adoption, as per the B<strong>CHP</strong> model, and the distribution <strong>of</strong> the build<strong>in</strong>g size<br />

data <strong>from</strong> the HCAD database. Based on <strong>in</strong>itial B<strong>CHP</strong> runs, facilities <strong>of</strong> less than 40,000<br />

square feet were generally excluded, with the exception <strong>of</strong> hospitals, fitness facilities,<br />

data process<strong>in</strong>g centers, and libraries, where 20,000 square feet served as the cut-<strong>of</strong>f<br />

threshold.<br />

Us<strong>in</strong>g this process, build<strong>in</strong>g assumptions <strong>in</strong>clud<strong>in</strong>g build<strong>in</strong>g size, number <strong>of</strong> stories,<br />

build<strong>in</strong>g age, build<strong>in</strong>g envelope considerations, HVAC and boiler equipment size and<br />

age, and build<strong>in</strong>g electrical and thermal loads were established for each build<strong>in</strong>g subcategory,<br />

thereby creat<strong>in</strong>g a detailed prototype build<strong>in</strong>g with specific and detailed<br />

characteristics suitable for computer model<strong>in</strong>g. Also at this time, consideration was given<br />

to estimat<strong>in</strong>g the detailed equipment and operat<strong>in</strong>g strategy that an on-site <strong>CHP</strong> system<br />

would most likely employ. The detailed build<strong>in</strong>g assumptions used for each prototype is<br />

presented <strong>in</strong> Appendix A.<br />

2.3 Model<strong>in</strong>g Build<strong>in</strong>g Performance<br />

Computer model<strong>in</strong>g was used to determ<strong>in</strong>e the energy and environmental impacts<br />

result<strong>in</strong>g <strong>from</strong> adoption <strong>of</strong> <strong>CHP</strong> systems at each <strong>of</strong> the prototype build<strong>in</strong>gs. Computer<br />

model<strong>in</strong>g was first used as part <strong>of</strong> an iterative process to establish the size and<br />

configuration <strong>of</strong> <strong>CHP</strong> systems likely for each prototype build<strong>in</strong>g type and to compare the<br />

energy and environmental impacts <strong>of</strong> the basel<strong>in</strong>e and <strong>CHP</strong> alternatives. The <strong>NOx</strong><br />

emission implications for each build<strong>in</strong>g type are an output <strong>of</strong> the computer model and<br />

discussed below and shown by prototype <strong>in</strong> Appendix A.<br />

A detailed description <strong>of</strong> the model<strong>in</strong>g effort is provided below.<br />

2.3.1 Prototype Build<strong>in</strong>g Models<br />

The B<strong>CHP</strong> model and detailed spreadsheet models were used <strong>in</strong> the analysis <strong>of</strong> prototype<br />

build<strong>in</strong>gs. B<strong>CHP</strong> <strong>in</strong>corporates the program DOE 2.1, which is a build<strong>in</strong>g simulator that<br />

uses detailed build<strong>in</strong>g characteristics and local weather data to generate hour-by-hour<br />

electrical and thermal load pr<strong>of</strong>iles. The model’s algorithms automatically determ<strong>in</strong>ed<br />

HVAC systems and plant sizes.<br />

A total <strong>of</strong> eleven B<strong>CHP</strong> models were developed. Due to similarities between build<strong>in</strong>g<br />

types, these twelve models were considered to be suitable to model all <strong>of</strong> the desired<br />

prototype build<strong>in</strong>gs, although <strong>in</strong> some cases m<strong>in</strong>or modifications were made to the model<br />

to more accurately reflect anticipated build<strong>in</strong>g operation and use. For some prototypical<br />

build<strong>in</strong>gs, spreadsheet analysis was used to modify the results <strong>of</strong> the B<strong>CHP</strong> model to<br />

improve accuracy across prototypical build<strong>in</strong>g types. The eleven B<strong>CHP</strong> models <strong>in</strong>cluded:<br />

• Healthcare (4): large, medium, and small hospitals, nurs<strong>in</strong>g homes<br />

• Hotels (3): large, medium, and small<br />

• Office Build<strong>in</strong>gs (2): medium-rise <strong>of</strong>fice towers, colleges (with on-campus liv<strong>in</strong>g)<br />

14

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