Energy Simulation in Commercial Buildings: A Comprehensive Guide

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Building energy simulation has become an essential tool for designing high-performance, energy-efficient commercial buildings. In this guide, we’ll explain the process of conducting an energy simulation for a commercial building using a popular tool called IES VE.

Step 1: Building Geometry and Layout

Our first step in the energy simulation process is to establish the building’s geometry. For our hypothetical commercial building, we’re considering a 5-story office structure, with each floor having an area of 1000 m^2.

FloorArea (m^2)
11000
21000
31000
41000
51000
Total5000

Step 2: Building Fabric Data

The next step involves inputting the specifications of the building’s construction materials, including the U-values of the envelope, thermal properties of the construction materials, and glazing specifications.

Building ElementU-Value (W/m^2K)
External Wall0.35
Roof0.25
Windows1.6
Floor0.25

Step 3: HVAC System

Defining the HVAC system using the ApacheHVAC module in IES VE is the next critical step. This involves specifying the type of system, its configuration, efficiency, controls, etc.

HVAC ElementSpecification
HVAC System TypeVAV System
Cooling Efficiency3.5 COP
Heating Efficiency85%
ControlsBMS Controlled

Step 4: Location and Weather Data

Our example commercial building is located in New York City, USA. Hence, we use the NYC specific EPW (Energy Plus Weather) file for local weather data in the simulation.

Step 5: Building Occupancy and Operational Hours

This involves defining the schedule for occupancy, lighting, equipment usage, etc., which influences the internal heat gains and the energy demand of the building.

Building ElementOperational Hours
Occupancy9 am – 6 pm
Lighting8 am – 7 pm
Equipment9 am – 6 pm

Running the Simulation

With all the data inputted, we run the simulation. The tool estimates the building’s annual energy consumption, heating and cooling loads, and other parameters.

Let’s assume our initial simulation provided the following results:

ParameterAnnual Energy Consumption
Heating80,000 kWh
Cooling120,000 kWh
Lighting75,000 kWh
Equipment100,000 kWh
Total375,000 kWh

Implementing Energy Efficiency Measures

Following the initial simulation, we propose a series of energy efficiency measures (EEMs) such as LED lighting, high-efficiency HVAC equipment, and better building envelope insulation. We re-run the simulation with these EEMs.

Energy Efficiency MeasureAnnual Savings
LED Lighting20,000 kWh
High-efficiency HVAC30,000 kWh
Better Insulation10,000 kWh
Total Savings**60