Building energy simulation

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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

  • Building design: Many modern commercial or residential building codes require minimum energy performance. Energy modeling can be used to demonstrate compliance, or predict energy consumption of proposed developments.
  • Life-cycle cost analysis: Comparing different building design alternatives to determine which is the least cost, including capital costs and (at a minimum) energy costs. Sometimes referred to as Total Cost of Ownership analysis.
  • Energy retrofit analysis: In conjunction with an energy audit, or deep energy retrofit an energy model can be used to predict savings associated to proposed energy cost measures (often called ECMs).

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

  • ASHRAE 90.1: In the US, ASHRAE 90.1's Energy Cost Budget (ECB) method is a commonly used baseline for energy modeling comparisons.

Professional associations and certifications

Professional Associations supporting energy modeling.

Certifications

  • BEMP - Building Energy Modeling Professional, administered by ASHRAE[6]
  • BESA - Certified Building Energy Simulation Analyst, administered by AEE[7]

See also

References

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External links