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Integrated HAM Modeling Integrated Heat Air & Moisture Modeling A.W.M. (Jos) van Schijndel Technische Universiteit Eindhoven

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Integrated HAM Modeling Background Building Physics and Systems –Thermal Comfort –Durability Energy Preservation –Building –Interior –Economics

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Integrated HAM Modeling Example 1 : Thermal Comfort, convector PDE : Navier-Stokes + Buoyancy

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Integrated HAM Modeling Example 1 : Thermal Comfort, convector PDE : Navier-Stokes + Buoyancy

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Integrated HAM Modeling Durability of constructions Heat, Air & Moisture (HAM) transport

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Integrated HAM Modeling PROJECT

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Integrated HAM Modeling Example 2 Durability : 2D Moisture transport PDE : Coupled Heat & Moisture

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Integrated HAM Modeling Example 3 Durability : wind and rain around a building PDE : Navier-Stokes + k-eps + trajectories

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Integrated HAM Modeling Example 4 Durability: 3D Thermal construction PDE : Navier-Stokes + Buoyancy

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Integrated HAM Modeling Multi scale coupling Whole Building (scale 10 m) Global building model [Abocad] Detail (scale 0.01 m) Local model Coupling? Coupled [Abocad]

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Integrated HAM Modeling Problem Coupling External –Multiple software programs –BPS Research of Hensen et al. Internal –Single software: MatLab –BPS Research of Schijndel et al.

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Integrated HAM Modeling

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simulation environment: SimuLink Coupling of models

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Integrated HAM Modeling

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HAMLab, whole building (global) New Hybrid modeling approach –Both discrete and continuous Discrete: climate related Continuous: indoor air related –Accurate results for both time scales (hour & seconds) –Efficient calculation time

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Integrated HAM Modeling HAMLab, whole building, example Annex 41 validation study

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Integrated HAM Modeling

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SimuLink using S-functions, Example (Heat Pump Model) 1/2

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Integrated HAM Modeling function sys=mdlDerivatives( t, x, u) Tvm=(u(1)+x(1))/2; Tcm=(u(3)+x(2))/2; COP=u(6)*(273.15+Tcm)/(Tcm-Tvm);.. xdot(1)=(1/Cv)*(u(2)*cv*(u(1)-x(1))-(COP-1)*u(5)); xdot(2)=(1/Cc)*(u(4)*cc*(u(3)-x(2))+COP*u(5));.. %t = time %u(1)=Tvin %u(2)=Fvin %u(3)=Tcin %u(4)=Fcin %u(5)=Ehp %u(6)=k [-] % %x(1)=Tvout %x(2)=Tcout SimuLink using S-functions, Example (Heat Pump Model) 2/2

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Integrated HAM Modeling Case study: energy roof system Introduction

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Integrated HAM Modeling Case study: energy roof system Validation Heat Pump Model

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Integrated HAM Modeling Case study: energy roof system Validation Energy Roof Model

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Integrated HAM Modeling Case study: energy roof system Validation TES

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Integrated HAM Modeling Case study: energy roof system Complete including Controllers 1/3

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Integrated HAM Modeling Case study: energy roof system Complete including Controllers 2/3

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Integrated HAM Modeling Case study: energy roof system Complete including Controllers 3/3

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Integrated HAM Modeling

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HAMLab, HVAC & primary systems, example HVAC & Indoor air simulation of museum GOAL: preservation of the original paper fragments (Note: nearly 1 million visitors per year)

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Integrated HAM Modeling HAMLab, HVAC & primary systems, example HVAC & Indoor air simulation of museum 100% of time out of limits!

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Integrated HAM Modeling HAMLab, HVAC & primary systems, example HVAC & Indoor air simulation of museum

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Integrated HAM Modeling HAMLab, HVAC & primary systems, example HVAC & Indoor air simulation of museum

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Integrated HAM Modeling HAMLab, HVAC & primary systems, example HVAC & Indoor air simulation of museum OK !

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Integrated HAM Modeling

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Airflow modeling, geometry and boundaries The boundary conditions are: At the left, right, top and bottom walls: u=0, v=0, T=0. At the inlet: u=1, v=0, T=1. At the outlet : Neuman conditions for u,v and T

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Integrated HAM Modeling PDEs and FemLab model

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Integrated HAM Modeling Air temperature with low inlet velocity Re =50, Gr =0

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Integrated HAM Modeling Air temperature with high inlet velocity Re =1000, Gr =0

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Integrated HAM Modeling Air temperature with high inlet velocity & buoyancy Re =1000, Gr =2.5e7

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Integrated HAM Modeling Validated resultSimulation

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Integrated HAM Modeling

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Implementation in S-Function, target

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Integrated HAM Modeling Implementation in S-Function

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Integrated HAM Modeling Implementation in S-Function

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Integrated HAM Modeling

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Schade: sleeplade

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Integrated HAM Modeling Schade: inwendige constructie

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Integrated HAM Modeling Schade: scheuren pedaallade

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Integrated HAM Modeling Complete Simulink model

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Integrated HAM Modeling Indoor climate SimuLink model

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Integrated HAM Modeling Indoor climate model, validation

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Integrated HAM Modeling Moisture transport SimuLink model

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Integrated HAM Modeling Moisture transport model, specifications

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Integrated HAM Modeling NMR vochtgehalte metingen

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Integrated HAM Modeling Houtvochtgehalte m.b.v. NMR

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Integrated HAM Modeling Drogen van cilinder hout

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Integrated HAM Modeling Moisture transport model, validation

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Integrated HAM Modeling Controller SimuLink model

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Integrated HAM Modeling Temperature, RH, w at surface

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Integrated HAM Modeling Drying rate during 1 day

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Integrated HAM Modeling Peak drying rate during 1 day

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Integrated HAM Modeling Limitation of air changing rate, model

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Integrated HAM Modeling model specifications

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Integrated HAM Modeling Temperature, RH, w at surface

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Integrated HAM Modeling Peak drying rate during 1 day

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Integrated HAM Modeling Limitation of RH changing rate, model

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Integrated HAM Modeling model specifications Trate = computed temperature changing rate [ o C/sec], Tair = air temperature [ o C], tdew = dewpoint function [ o C], Rh = relative humidity [%], psat = saturation pressure function [Pa], dRh = maximum relative humidity changing rate [%/h].

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Integrated HAM Modeling Temperature, RH, w at surface

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Integrated HAM Modeling Peak drying rate during 1 day

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Integrated HAM Modeling Comparing control strategies

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Integrated HAM Modeling Comparing control strategies

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Integrated HAM Modeling Avoiding high peak drying rates Best solution –No heating Worst solution –Maximum heating capacity Limiting T changing rate –Preferred Limiting RH changing rate –Time of heating not constant –More complex controller

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Integrated HAM Modeling

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Lecture Objectives: -Discuss the final project presentations -Energy simulation result evaluation -Review the course topics.

Lecture Objectives: -Discuss the final project presentations -Energy simulation result evaluation -Review the course topics.

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