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Opt-E-Plus was developed by NREL to address the issues described above and to support the development of low- and NZEBs by integrating simulation and optimization. Opt-E-Plus presents a range of design options, each of which minimizes energy use at a particular economic cost. This range of design options is also known as a Pareto optimal front in formal multivariate optimization terminology. Figure 57 shows the typical output of an Opt-E-Plus analysis. In this figure, each point represents a unique combination of energy efficiency measures that defines a single potential building design and corresponds to an EnergyPlus simulation run. Figure 57. Opt-E-Plus optimization results (Source: NREL Opt-E-Plus Software) These options enable designers and engineers to set project goals based on a reasonable understanding of the tradeoffs between energy use and economics for a particular project. Opt-E- Plus utilizes the DOE’s whole-building energy simulation engine EnergyPlus to ensure that interactions between energy design measures (e.g., lower lighting power density results in lower cooling energy but increased heating energy) are accurately captured. An energy design measure is a perturbation to the building model that influences the objective functions (it does not have to save energy). Although EnergyPlus is a very detailed calculation engine, the focus at this stage is on whole-building integration strategies rather than on details of a single subcomponent. NREL used Opt-E-Plus to set the design goals for the Research Support Facility (discussed above) and is currently working with the Army on developing a series of prescriptive design guides to meet the EISA 2007 legislation requiring a 55% reduction in fossil fuel use for all new DOD facilities using the Opt-E-Plus energy modeling process. A number of Army sites have expressed an interest in using the Opt-E-plus framework to make informed design decisions and 143PDF Image | 4th Annual Chena Renewable Energy Fair
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