BUILDING ENERGY SIMULATION CASE STUDY OF A COMMERCIAL OFFICE SPACE IN GURUGRAM, HARYANA
INTRODUCTION
With the advent of technology buildings have shifted from traditional to modern architecture. As of 2010 buildings have a 32% share in the total energy demand and generate around 30 % of CO2 emissions . This sector consumes around 30 % of the world’s electricity produced. Developed countries have seen a more tectonic shift from traditional to modern architecture and the use of modern material. For example like in India the building sector is more energy intensive and constitutes around 40% of the national energy consumption. Around 60% of the building load was for space cooling and heating. Similarly in European nations 40% of the energy was consumed by the building sector .
METHODOLOGY
A building interacts with both the internal and external environment. The parameters mentioned above contribute to the load of the building. Load calculation is a lengthy and complex process and involves many calculations and iterations. The complexity is increased as the size of the building increases. The major loads contributing to energy consumption are :
1. Lighting Load
2. Cooling load
3. Equipment Load
4. Heating load Over the years and with the advancement of computer softwares various tools have come up which can help the designers to predict and analyze the load calculations and building energy performance with good accuracy and with a substantial decrease in effort.These simulation programmes model the thermal, visual ,ventilation and other energy consuming processes to measure the building energy performance. The calculations are done on the basis of input data of parameters like HVAC,lighting,occupancy,equipments and building form and orientation.
BUILDING ENERGY SIMULATION
Building energy simulation is the process of calculating building load and energy performance using softwares with a good accuracy and substantial decrease in effort.The calculations are done on the basis of input data of parameters like HVAC,lighting,occupancy,equipments and building form and orientation. A simulation software uses a simulation engine which calculates energy flows on a hourly basis for 8760 hours of the year.
The tool used for the purpose is e-QUEST. This is a widely used ,time proven whole building performance design tool .It is highly user friendly and its graphical interface helps users to visualize their model .Besides it also has parametric runs which can compare the results of various varying inputs for the same project .It can also compute financial analysis and cost of energy consumption .It uses simulation engine of DOE 2.2.
DESCRIPTION OF CASE STUDY
The project here, AI REALBUILD is a 14 floor office space in the heart of bustling metropolis of Gurgaon. The facility includes two basements, five floors of multilevel parking and nine floors of office space. The total conditioned area is 83, 260 sqft and the site area is 33,153 sqft. The project is seeking for certification under IGBC new building ratings system.
The project is simulated for both base-case and proposed design case and the input parameters for both have been discussed below.
BASE- CASE DESIGN
For designing base case the project follows ASHRAE 90.1.2010 appendix G methodology using whole building performance method. The input parameters are discussed in the table below.
DESCRIPTION | SPECIFICATION | UNITS |
LOCATION | GURUGRAM | |
WEATHER FILE | NEW DELHI_BIN | |
CLIMATE ZONE AS PER ASHRAE | 1A | |
MODELLING SOFTWARE | E QUEST 3.65 | |
BUILDING AREA | 83260 | Ft2 |
HOURS OF OPERATION | 15 | HOURS |
WALL U-VALUE | 0.124 | BTU/h-ft2–0F |
ROOF U-VALUE | 0.063 | BTU/h-ft2–0F |
WINDOW GLASS U-VALUE | 1.2 | |
WINDOW GLASS SHGC | 0.25 | |
INTERIOR LIGHTING LPD | AS PER ASHRAE 90.1 Space by Space method | |
EQUIPMENT POWER DENSITY | 2.5 for office areas | W/ ft2 |
HVAC SYSTEM | Variable air Volume | |
CHILLER | Water cooled screw chiller type | |
NO. OF CHILLERS | 2 | |
CAPACITY OF EACH CHILLER | 9.6 | Mbtu/hr |
CHW Supply TEMP | 55 | 0F |
COP | 4.8 | |
FAN POWER | 0.9 | Kw/cfm |
FRESH/OUTDOOR AIR | AS PER ASHRAE 62.1 |
PROPOSED CASE
DESCRIPTION | SPECIFICATION | UNITS |
LOCATION | GURUGRAM | |
WEATHER FILE | NEW DELHI_BIN | |
CLIMATE ZONE AS PER ASHRAE | 1A | |
MODELLING SOFTWARE | E QUEST 3.65 | |
BUILDING AREA | 83260 | Ft2 |
HOURS OF OPERATION | 15 | HOURS |
WALL U-VALUE | 0.37 | BTU/h-ft2–0F |
ROOF U-VALUE | 0.087 | BTU/h-ft2–0F |
WINDOW GLASS U-VALUE | 0.47 | |
WINDOW GLASS SHGC | 0.39 | |
INTERIOR LIGHTING LPD | AS PER LIGHTING DRAWINGS | |
EQUIPMENT POWER DENSITY | 2.5 for office areas | W/ ft2 |
HVAC SYSTEM | Variable Refrigerant flow | |
COP | 4.41 | |
FAN POWER | 0.3 | Kw/cfm |
FRESH/OUTDOOR AIR | AS PER DBR | |
CONTROLS | DAYLIGHT AND OCCUPANCY |
RESULTS
Results of the analysis are summarized in the Table below. The building has the potential to achieve approximately 3509940 INR (20%) in annual utility savings per year compared to a minimally compliant ASHRAE 90.1-2010 building. Calculations are shown in the following table.
LIGHTS(kWh) | MISC EQUIP. (kWh) | SPACE HEATING(kWh) | SPACE COOLING(kWh) | PUMPS & AUX(kWh) | VENT FANS(kWh) | TOTAL(kWh) |
398564 | 428573 | 192136 | 517630 | 301230 | 290274 | 2163557 |
LIGHTS(kWh) | MISC EQUIP. (kWh) | SPACE HEATING(kWh) | SPACE COOLING(kWh) | PUMPS & AUX(kWh) | VENT FANS(kWh) | TOTAL(kWh) |
398564 | 428573 | 261694 | 514240 | 300741 | 291375 | 2230150 |
LIGHTS(kWh) | MISC EQUIP. (kWh) | SPACE HEATING(kWh) | SPACE COOLING(kWh) | PUMPS & AUX(kWh) | VENT FANS(kWh) | TOTAL(kWh) |
398564 | 428573 | 260132 | 516565 | 301646 | 292707 | 2233288 |
LIGHTS(kWh) | MISC EQUIP. (kWh) | SPACE HEATING(kWh) | SPACE COOLING(kWh) | PUMPS & AUX(kWh) | VENT FANS(kWh) | TOTAL(kWh) |
398564 | 428573 | 170847 | 520748 | 301943 | 291408 | 2147430 |
LIGHTS(kWh) | MISC EQUIP.(kWh) | SPACE HEATING(kWh) | SPACE COOLING(kWh) | PUMPS & AUX(kWh) | VENT FANS(kWh) | TOTAL(kWh) |
201014 | 428573 | 2019 | 494879 | 3445 | 624990 | 1754920 |
Base-case | Energy Consumption(kWh) | Savings(%) | Savings(INR) |
0⁰ | 2163557 | 19.99840445 | 3509490 |
90⁰ | 2230150 | ||
180⁰ | 2233288 | ||
270⁰ | 2147430 | ||
Average | 2193606.25 | ||
Proposed case | 1754920 |