Commercial HVAC Automation:

EMSE, Fall 2014 Under Guidance of: Professor Lawrence Chung(dana.crosslin@utdallas.edu)

Phase II

Presented by: DANA CROSSLIN

Problem Overview - “AS-IS”Here’s the issue:

• Hotel Dallas has 36,000 feet worth of banquet space. The current way of managing the AC/Heating units in each space of the banquet area for the last 31 years, is to have the units run continuously every day.

• Within the last 6 months, a scheduling system has been created that requires the banquet managers to provide the engineering team with a schedule of meetings to make sure that the units are turned on 45 minutes prior to the meeting, and turned off 30 minutes after the meeting. This system isn't perfect as it leaves too many variables for human error and isn't being completed more than 80% of the time.

Functional IssuesNeeds system to be self-configuring: the

ability to re-configure the HVAC systems according to the outputs of the computerized approaches. This will help to mitigate faults and apply control strategy; which results in higher energy efficiency.

Needs system to be self-monitoring: The ability to monitor the conditions of the building indoor environment and the HVAC systems.

Needs ability to preset HVAC system according to banquet schedules

Non-Functional IssuesTechnological Constraints

HVAC systems account for about 16% of total energy consumption in the U.S. However, 25%-40% of the energy consumed by HVAC systems is wasted because of undetected faults.

FlexibilityAble to be accessed through several different

technology mediumConfigurability

Able to drive more efficient operations and better high-level decisions with a solution that works the way you want. Should not be driven by a programmer’s assumption of how a unique entity should operate.

SIG Model for HVAC Automation Non-Functional Requirements

“To Be” Scenario: Automated HVAC Application

Flexible Scheduling Ability to preschedule daily, weekly, or monthly HVAC activity

for all rooms. Scheduling changes can be easily made remotely from any

wireless device

Automated Logic Setting and Energy Management Framework has centralized controller module which sends the

information requirements of the computerized approaches to self-recognizing and self-monitoring modules. This allows the system to recognize occupied conditions in each room and provide conditioning for as log as these conditions exist In turn, this drives energy costs down.

Performance Analysis and Fault Mitigation Consistent Monitoring of Energy Usage, Power Quality, and

Fault Detection

Manual HVAC Automation System “AS-IS” vs. “TO BE”

Bottom LineHotel Dallas has found a system that is energy efficient,

and will cut their energy bill significantly.....Weekly Consumption without EMS $3,084.48Yearly Consumption Without EMS $160,392.96Weekly Consumption with EMS $836.71Yearly Consumption With EMS $43,509.09Yearly Savings with Energy Management System $116,883.87

Cost of Installation of Energy Management System $93,177.271st Year ROI 125.44%5 Year ROI 627.21%10 Year ROI 1254.42%

Questions?