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Lecture Objectives:

Lecture Objectives:. Answer question related to HW 4 Learn about Life Cycle Cost Analysis (LLC) tools in eQUEST Learn about specifics related to modeling of HVAC systems. HW 4 Modeling based on Measured Data. Location: Syracuse. HW4 Empirical model: Q=f(DBT).

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Lecture Objectives:

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  1. Lecture Objectives: • Answer question related to HW 4 • Learn about Life Cycle Cost Analysis (LLC) tools in eQUEST • Learn about specifics related to modeling of HVAC systems

  2. HW 4Modeling based on Measured Data Location: Syracuse

  3. HW4Empirical model: Q=f(DBT)

  4. What are the reasons for the energy simulation? • Design improvement • Economic benefits • Budget planning

  5. Life Cycle Cost Analysis • Engineering economics

  6. Life Cycle Cost Analysis • Engineering economics • Compound-amount factor (f/p) • Present worth factor value (p/f) • Future worth of a uniform series of amount (f/a) • Present worth of a uniform series of amount (p/a) • Gradient present worth factor (GPWF)

  7. Parameters in life cycle cost analysis Beside energy benefits expressed in $, you should consider: • First cost • Maintenance • Operation life • Change of the energy cost • Interest (inflation) • Taxes, Discounts, Rebates, other Government measures

  8. Example • Using eQUEST analyze the benefits (energy saving and pay back period) of installing - low-e double glazed window - variable frequency drive in the school building in NYC

  9. Building and its HVAC Systems(Primary and secondary HVAC system) Zone (Loads) mix box air supply fan surroundings Secondary System heating coil cooling coil pump pump boiler chiller Primary System cooling tower pump

  10. Building Heating/Cooling System Plant Integration of HVAC and building physics models Load System Plant model Building Qbuiolding Heating/Cooling System Q including Ventilation and Dehumidification Plant Secondary systems Primary systems Integrated models Enable component-based modeling

  11. Solving linear and nonlinear System of equations HVAC • Two separate systems: • Building physics (zone): set of linear equations • HVAC nonlinear equations • We used separate solvers and then iterate

  12. Iteration type Building physics Building physics HVAC HVAC Time step Time step Time

  13. Solving linear and nonlinear System of equations

  14. Component-based simulation programs - Trnsys

  15. Component-based simulation programs - Energy Plus

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