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Simulation-Based Design Study:

This study assesses design decisions to minimize the Levelized Cost of Energy (LCoE) in solar houses participating in the Solar Decathlon, a competitive event showcasing sustainable energy solutions. Using simulation-based approaches, we analyze energy production, consumption, and efficiency measures to identify the most cost-effective solutions. Key takeaways include insights on design variable interactions, simulation time challenges, and the importance of clearly defined objectives in energy modeling. This research aids in optimizing solar home designs for better economic viability and reduced carbon footprint.

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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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