Building performance analysis system IES VE main features overview
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The document presents various features and capabilities of an integrated environmental solution for building energy simulation, covering aspects like HVAC modeling, dynamic thermal simulations, and energy consumption calculations. It highlights the importance of factors such as building geometry, air permeability, and ventilation strategies in optimizing energy efficiency and thermal comfort. Furthermore, the document discusses advancements in software tools that facilitate detailed analyses and assessments to achieve energy efficiency targets in building designs.
Building performance analysis system IES VE main features overview
- 1. IES VE Integrated Environmental Solution <Virtual Environment> Building energy simulation tool
- 2. gbXML How will we get geometry into IES?
- 3. ModelViewer • Solar Arc – full immersion solar penetration visualisation • Multiple default animations • Intuitive video controls, new X-Ray feature • Model Viewer – Camera Path
- 4. ApacheSim • Tabular room edit - import and export Room Data from excel • Formulae profiles - ramp, step, multi variable control using simulation results time steps down to 1 minute • Integrated HVAC / Natural Ventilation model - no post processing • Near Future: Optimisation
- 5. • Heating & Cooling Load Calculations • HVAC Plant and Control Systems • Dynamic Thermal Simulations • Wall/Window Make-ups & Condensation Analysis • Energy Analysis • CO2 Emissions Calculations • Natural Ventilation & Mixed Mode Systems Thermal Analysis
- 6. Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan 180 160 140 120 100 80 60 40 20 0 Power(MBH) Date: Wed 01/Jan to Wed 31/Dec Boilersenergy: (csi - load calculations- oa off.aps) Chillersenergy: (csi - load calculations- oa off.aps) Annual Energy Consumption Load Summary • What is driving the building energy consumption over the course of the full year? • Are external factors (building envelope) or internal factors (lights, equipment, people) responsible for the building loads? Detailed Energy & Load Calculations
- 7. Peak daily cooling loads Daily CO2 concentrations Comfort predictions • How does the HVAC system and distribution method impact thermal comfort? Thermal Comfort Assessment
- 8. SunCast • Full solar penetration analysis • New Feature: Solar intensity visualisation • Pre-processing simulation for Dynamic Thermal Modelling
- 9. AEC Software: MacroFlo • Calculation of infiltration based on internal /external pressure regime + Visualisation in VistaPro • Natural ventilation assessment through windows / doors • Coupled to ApacheHVAC enables true mixed mode assessment • Utilises Performance Components: Monodraught wind-catchers
- 11. • Predict Complex Air Flow Inside and Around Buildings • Visual Results • Comfort Analysis • Ventilation Airflow Analysis • Wind Pattern Studies Computational Fluid Dynamics (CFD)
- 12. PMV DEFINITION -3 COLD -2 COOL -1 SLIGHTLY COLD 0 NEUTRAL +1 SLIGHTLY WARM +2 WARM +3 HOT Predicted Mean Vote: An index that predicts the mean value of the votes of a group of occupants on a 7-point thermal sensation scale. Note: The horizontal slice shown is at a seated head-height of 4’-3.6”. The occupied area of the laboratory is in the range of (-0.1 to -0.5). The area in front of the fume cupboard is approximately -0.7 but this is assuming the sash is fully open and designed with a face velocity of 1.6 ft/sec. Comfort levels: Predicted Mean Vote (PMV)
- 13. Note: The horizontal slice shown is at a seated head-height of 5’-0”. The occupied area of the laboratory is in the range of (11% to 7%). The area in front of the fume cupboard is approximately 20% but this is assuming the sash is fully open and designed with a face velocity of 1.6 ft/sec. The only other areas of high PPD are in stagnant areas of the room e.g. Corner areas. Percentage People Dissatisfied: An index that predicts the percentage of occupants expressing dissatisfaction with the room thermal environment. ASHRAE 55-2004 specifies the combination of indoor space environment and personal factors that will produce thermal environment conditions acceptable to 80% or more of the occupants within a space. Comfort levels: Percentage People Dissatisfied (PPD)
- 14. Dry Resultant Temperature: This is the mean temperature of the room air temperature and the mean radiant temperatures. The upper left image shows a vertical slice 2.8” from the external wall and glazing system. Crack flow infiltration of cold air shows a down- draught falling to the floor level. The lower left image shows a vertical slice 14” from the external wall and glazing system. Linear slot diffusers are supplying 80°F air to act as a warm- air curtain. The horizontal slice shown is at an ankle-height of 0’-3”. The occupied area of the laboratory at this height is in the range of 64-65°F Note: The strategy of employing a linear slot diffuser to combat the cold air draughts of cold window surface temperature and crack flow infiltration is not preventing cooler air temperatures at occupant’s ankles and may cause discomfort. The crack flow of the external glazing was assumed to be a “semi-exposed wall” and was set at 12.69 cfm/ft.(in Hg) ^0.6. Dry Resultant Temperature (DRT)
- 15. Warm convective currents from occupants rising to high level. Fume Hood sash face velocity not to exceed -/second. 1. A combination of cold window surface temperature and cold air infiltration cause convective currents to drop to low level. 2. The cold air accumulates and spills inwards towards the occupants. 3. The strategy of employing a linear slot diffuser to combat the cold downward draught is may cause discomfort to the occupants. Linear slot diffusers supply velocity not to exceed -/second. Air Velocity (m/second)
- 16. AEC Software: Simulex NEW visualisation approach
- 17. Case study: First A+ manufacture building in Lithuania
- 18. Facts about building: Overall building area – 4674 m2 Overall volume -42000 m3 Predicted energy consumption – 26,48 kWh/m2 of heat By applying heat pump it should be 5,44 kWh/m2 Targets: • A+ energy efficiency class • BREEAM „very good“ • Reasonable price
- 19. Geometry optimization by means of natural light and energy consumptiom Initial design: Daylight / Energy / Cost optimized : • Initial design had poor daylight utilization and high artificial lightning costs • Reduced loads due to small glazed area rates • Increased glazing rates alowed to get more daylight and reduce artificial light consumption • Glazing creates more solar gains, but increases capacity requirements • Optimal point between glazing and lighting consumption
- 20. Detailed shading analysis with custom overhang design • Solar exposure was studied • Suitable shading solutions was chosen • Influence of more expensive shading solutions was examined and rejected after examining cost savings
- 21. Envelope properties optimization by means of energy consumption and investment costs • More detailed selection of envelope properties by assessing influence to energy consumption and initial envelope costs • Different properties for different building spaces
- 22. Influence of air permeability of building envelope • Local regulations requires – 1,0 h-1 value at 50Pa difference Target – go below 0,6 h-1 • Preliminar studies have shown that infiltration air change has about 34% influence to overall heat load • This fact helped drawn more attention to air tightness planning and quality checks during construction works
- 23. Control strategies assesment for more accurate heat/cooling sizing aiming at optimal cost Ventilation strategies was assessed: • Flow rate reduction at low ambient temperatures • Flow rate adjustment according to CO2 levels • Time scheduled pre-cooling of office spaces • Summer ventilation by-pass Influence determination for: • Set points for heating set back strategy • Examination of suitable dead-bands • Multisource (panel cooling and fancoil) cooling strategies examination
- 24. More accurate prediction than energy certification Purpose of energy certification procedure are to give label to the buildings at equal boundary condition Dynamic simulation are free for applying custom boundaries more suitable for each case – user and technology heat gains, hot water usage and shedules, microclimate systems control strategies and passive demand reduction strategies 26 19,6 0 5 10 15 20 25 30 Simulated value Energy certification
- 25. Future use of simulation model After completing construction works model could be used for simulation based energy audith and fault detection after calibrating actual model It is possible due to installed sub-metering devices and data collection systems.
- 26. IES VE Integrated Environmental Solution <Virtual Environment> Building energy simulation tool