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Simulation-Based Design Study:

Simulation-Based Design Study:. Energy Cost in a Solar House. Jason Brown, Huafen Hu, Sean Hay Kim College of Architecture Georgia Institute of Technology 04-26-2007. Background and the Goal. Solar Decathlon - Department of Energy and The National Renewable Energy Laboratory (NREL);

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Simulation-Based Design Study:

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  1. Simulation-Based Design Study: Energy Cost in a Solar House Jason Brown, Huafen Hu, Sean Hay Kim College of Architecture Georgia Institute of Technology 04-26-2007 ME6105-SolarHouse

  2. Background and the Goal • Solar Decathlon - Department of Energy and The National Renewable Energy Laboratory (NREL); • Competition in 10 contests: Architecture, Engineering, Marketability, Communications, Comfort Zone, Appliances, Hot Water, Lighting, Energy Balance, and Getting Around; • The Levelized Cost of Energy (LCoEwh) – economic measure expressing the affordability of the energy produced by a house’s photovoltaic (PV) system; • Problem: What design decision has the lowest LCoEwh ? ME6105-SolarHouse

  3. Calculation of LCoEwh ME6105-SolarHouse

  4. System of Interactions NoPV YrEnCon YrEnProd ME6105-SolarHouse

  5. Lessons Learned - 1 Version Incompatibility The latest Version of Modelica Old Version Modelica ME6105-SolarHouse

  6. Lessons Learned - 2 Simulation time is expensive Yearly Energy Simulation “Yearly” Energy Simulation 1 year = 3.15×107 seconds 1 “year” = 2.4×106 seconds One typical week For each season 20 mins per one single Dymola run 1.5 mins per one single Dymola run More than 300 hours for a DOE with 9 design variables Around one day for a DOE with 9 design variables ME6105-SolarHouse

  7. Lessons Learned - 3 The objective not well defined No room for utility theory Reduction in CO2 emissions: RCO2 U(RCO2) Module_costfactor Overall Utility RoofSHGC pvprod NPVpv NoPV LCoEwh U(LCoEwh) galp NPVutil ACH RH ME6105-SolarHouse

  8. Lessons Learned - 4 Integer design variable ? ME6105-SolarHouse

  9. Interesting Results DOE Optimizer ME6105-SolarHouse

  10. Insights of Building Simulation in Modelica • More simplified models • full weather; • sensitivity analysis; • Decision making under uncertainties ME6105-SolarHouse

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