Building energy simulation

This article is about energy use in buildings. For the modeling of energy systems more generally, see Energy modeling.
Graph originally published in 3rd International Congress on Energy Efficiency and Renewable Energy Sources Proceedings, 2007 paper: Determining energy savings using utility bills: a winning method for ESCOs

Building energy simulation, also called building energy modeling (or energy modeling in context), is the use of software to predict the energy use of a building.

Background

A typical energy model will have inputs for climate; envelope; internal gains from lighting, equipment, and occupants; heating, cooling, and ventilation systems; schedules of occupants, equipment, and lighting.[1] Energy models will output building energy use predictions in typical end-use categories: heating, cooling, lighting, fan, plug, process. In addition to energy units, most software includes utility rates input, and can predict energy costs.

Energy-savings measures can be calculated using simple spreadsheets[2] and a wide variety of bespoke software applications are available.

Applications

Accuracy of building simulation

There are normally occurring uncertainties in building design and building energy assessment. Yezioro, Dong and Leite[3] developed an artificial intelligence approach towards assessing building performance simulation results and found that more detailed simulation tools have the best simulation performance in terms of heating and cooling electricity consumption within 3% of mean absolute error.

Standards and Practices

Professional associations and certifications

Professional Associations supporting energy modeling.

Certifications

See also

References

  1. Rosenbaum, Marc (2003). "Understanding the Energy Modeling Process: Simulation Literacy 101". http://www.buildinggreen.com/. BuildingGreen.com. Retrieved 2014-06-15. External link in |website= (help)
  2. "California Commissioning Collaborative, Spreadsheet Tool". Retrieved 13 June 2014.
  3. Yezioro, A; Dong, B; Leite, F (2008). "An applied artificial intelligence approach towards assessing building performance simulation tools". Energy and Buildings. 40 (4): 612. doi:10.1016/j.enbuild.2007.04.014.
  4. "IBPSA-USA". IBPSA-USA. Retrieved 13 June 2014.
  5. "Energy Trust of Oregon Building Simulation Forum". Energy Trust of Oregon. Retrieved 13 June 201. Check date values in: |access-date= (help)
  6. "Building Energy Modeling Professional Certification". ashrae.org. ASHRAE. Retrieved 13 June 2014.
  7. "Certified Building Energy Simulation Analyst". aeecenter.org. Association of Energy Engineers. Retrieved 13 June 2014.

External links

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