Building Energy Analyzer TM PRO





Building Energy Analyzer TM  PRO :    


BEA PRO Brochure

BEA 2.5, PRO version features "retrofit wizard, which is actually an improved way to calibrate modeling of the weather-influenced building energy consumption. Correct interpretation of weather data is turning out to be increasingly critical to accurate cogen screening. Weather changes impact building energy consumption and costs of fuel and electricity significantly. Even a moderately skewed forecast will seriously distort the cogen model if extended over the long term. For climate data BEA uses the NREL TMY2s database and DOE-2.1e simulation engine (like the DOE's BCHP Screening Tool.) These are good so far as they go, but still, so-called 'typical weather' is still only artificial, and hence the output is potentially less-than-satisfactory.

For example, if you were to retrovert your CHP simulation model and compare the weather-influenced cost predictions to what you actually paid for fuel and power, chances are you'd come up with a mismatch. People find this discrepancy routinely in their models and they are really scratching their heads trying to find out 'what did I do wrong?': The answer is that TMY2 is by definition an artificial/composite weather, and thus, as one corrective, BEA PRO now includes additional database of actual cooling and heating days as well as minimum and maximum monthly temperatures for 233 U.S. geographical locations, spanning a period of last three years. Modeled by the BEA building energy consumption and that from the actual energy bills is normalized using cooling and heating days data from both databases and compared. This greatly improves level of confidence when interpreting modeling results and, if needed, guides the user corrective action in adjusting the model.


BEA Pro uses 8,760 hourly increments for modeling a year, "which means that everything is happening in real time, which is especially important for proper calculation of cogen heat recovery effectiveness" he notes, and you don't risk making the large-scale errors inherent in longer time spans. An added monitoring component for heating and cooling coil dynamics and energy consumption by end-use now means the user have an option to look at 8,760 hours of data on metered elements, including such things as how much electricity went into the HVAC equipment, how much went to heating, and the like.

Finally there's a module for predicting on-site and avoided emissions of CO2, CO, NOx, SOx, and particulates from various hardware layouts. Emission levels can impact eligibility for credits and incentives, and permitting.


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