Plugin Insight & GBS - Bayan Ahmed Omr

Applied Application model by Using Plugin Insight 360

Faculty of Architecture and Design

- Department of Architecture

Arch : Ameera Amr.

Stu : Al Bayan Ahmed Omr.

ZUJ University

Final Project for plugin insight and green building studio

Two scenarios for the modeling in Revit ,plugin insight, and green building design

-Results from Green building studio

For 2 models = 4 Scenarios

Index

factors form plugin insight

-weather station charts

-Results for two scenarios

-design decision for this modeling

The Original Model

Testing & Validation Methodology

Testing different scenarios in Insight360. 2

The Model for each angel between 0 to 360 for a 30 degree intervals.

Exported result and comparison chart contains the amount of EUI for each angle.

Comparison chart for each model contains the amount of EUL.

Energy Consumption

Insight 360 allow to save and compare your design scenarios to track performance spanning the building lifecycle in a consistent and cohesive manner. Share your insights with project stakeholders and access all your outcomes anywhere.

Plugin Interface

1 2

This Methodology has been selected due to achieve best analysis and validation of the Insight 360 software

Models for each angle between 0 to 360 for 30-degree intervals.

4 5

Every model shows: 1- Roof | Wall Construction. 2-Infiltration. 3-Lighting Efficiency.

Every model shows: 1- Operating Schedule. 2- Renewables ( PV Panel Efficiency ).

3

Every model shows :

1-Window wall Ratio

2-Window Shades

3-Window Glass

Model 1

Location

Short side of building on the South Circulation.

Analytical Model

Best Energy Efficiency for Set 01

Longitudinal side of building on the East Circulation.

Best Energy Efficiency for Set 02

A building located in the Amman, where is the western of Jordan, so it could face East in Order to take maximum advantages of the sun energy to naturally heating.

Longitudinal side of building on the South Circulation.

Short side of building on the East Circulation.

Energy Use Intensity ( EUI )

Energy Use Intensity (EUI) can be defined as the measurement of a building’s annual energy consumption relative to its gross square-footage. EUI is often used to:

1. Express an existing building’s actual, metered energy consumption;

2. Convey the average annual energy use derived from a data set of similar building type and location

Building Operative of a high rise building model in Amman

-Efficient

wall, window, and HVAC equipment

Window Wall Ratio

Its for High-rise Office Buildings in Temperate Climate: Assessing Façade Embodied Energy and Building Operative Energy ( Life Cycle Energy).

Sun Path Analysis

refers to the daily and seasonal arc-like path that the Sun appears to follow across the sky as the Earth rotates and orbits the Sun. The Sun's path affects the length of daytime experienced and amount of daylight received along a certain latitude during a given season.

Window Wall Ratio

-EE calculations should be included when considering the choice of façade materials

-WWR deep impact on heating and cooling capacities

-Most of recently built high-rise office buildings in Amman mainly comprise of double- glazed argon filled curtain walls whilst the opaque fabric is mostly constructed of light concrete with typical WWR 95%

Window to wall Ratio ( WWA )

Construction Materials used the External wall

Glazing to wall Ratio ( GWA )

Impacts from Insight Results BEFORE Optimization EUI Value Details

Impacts from Green Building Studio Before Optimization EUI Value Details

Impacts from Insight Results AFTAR Optimization EUI Value Details

Impacts from Green Building Studio After Optimization EUI Value Details

Impacts from Insight Results BEFORE Optimization EUI Value Details

Impacts from Green Building Studio Before Optimization EUI Value Details

Impacts from Insight Results AFTAR Optimization EUI Value Details

Impacts from Green Building Studio AFTER Optimization EUI Value Details

Roof Construction D

Impacts from Green Building Studio Before Optimization EUI Value Details

Impacts from Insight Results BEFORE Optimization EUI Value Details EUI before Optimization = 679.5 KWh

EUI After Optimization = KWh m yr Cost before Optimization = 12.1 KWh m yr Cost After Optimization = 11.7 KWh m yr

Second Solution

Building Orientation: + 210 from N

Window to Wall Ratio:

Northern = 35%

Eastern = 40%

Southern = 90%

Western = 40%

Window Shades:

Building Orientation: + 210 from N

Window to Wall Ratio:

Northern = 20%

Eastern = 60%

Southern = 90%

Western = 30%

Roof Construction: R60

Northern = 25%

Eastern = 50%

Southern = 80%

Western = 30%

Window Shades:

Northern = 20%

Eastern = 55%

Southern = 85%

Western = 45%

Roof Construction: R50

Validated Results Against Benchmarks

Impacts from Insight Results BEFORE Optimization EUI Value Details

Impacts from Insight Results AFTAR Optimization EUI Value Details

Impacts from Insight Results BEFORE Optimization EUI Value Details

Impacts from Insight Results AFTER Optimization EUI Value Details

Impacts from Green Building Studio AFTER Optimization EUI Value Details

EUI before Optimization = 1285 KWh m yr

EUI After Optimization = 1265KWh m yr

Cost before Optimization = 305 KWh m yr

Cost After Optimization = 248 KWh m yr

Impacts from Green Building Studio AFTER Optimization EUI Value Details

Impacts from Insight Results BEFORE Optimization EUI Value Details

Impacts from Green Building Studio AFTER Optimization EUI Value Details

Impacts from Insight Results AFTER Optimization EUI Value Details

EUI before Optimization = 1970 KWh m yr

EUI After Optimization = 1939.6KWh m yr

Cost before Optimization = 305 KWh m yr

Cost After Optimization = 247 KWh m yr

Impacts from Green Building Studio AFTER Optimization EUI Value Details

Impacts from Insight Results BEFORE Optimization EUI Value Details

Impacts from Green Building Studio AFTER Optimization EUI Value Details

Impacts from Insight Results AFTER Optimization EUI Value Details

EUI before Optimization = 2107.3KWh m yr

EUI After Optimization = 1909.6 KWh m yr

Cost before Optimization = 12.1 KWh m yr

Cost After Optimization = 11.8 KWh m yr

Impacts from Green Building Studio AFTER Optimization EUI Value Details

First Solution

Second Solution

HVAC: 305 KWh m yr

HVAC: 248 KWh m yr

Daylighting & Occupancy Controls: 305 KWh m yr

Infiltration: 248 KWh m yr

Daylighting & Occupancy Controls: 247 KWh m yr

Infiltration: 247 KWh m yr

Conclusion D

Validated Results Against Benchmarks

design decision D

Selecting the second scenario in each model reduces the total cost of materials, and increases operational energy efficiency at a lower cost.

Al-Bayan Ahmed Omr

https://gbs.autodesk.co m/GBS/Project

https://jhmrad.com/themost-impressive-porchconstruction-detailsideas-ever-seen-19photos/metal-deck-roofconstruction-details/

https://insight360.auto desk.com/oneenergy

https://fairconditionin g.org/knowledge/passi ve-design/windowshape-and-sizing/

https://www.engprogui des.com/hvac-rule-ofthumb-calculator.html