ENERGY MANAGEMENT IN HOSPITALITY - HAC … Chavda / Rakesh Moza ENERGY MANAGEMENT IN HOSPITALITY ......

Combining Best Practices for higher ROI

ENERGY MANAGEMENT IN HOSPITALITY Jiten Chavda / Rakesh Moza

Feburary16, 2017

© 2015 by Honeywell International Inc. All rights reserved.

Agenda

• Case Study

• Energy Management Systems

• Data Analytics and ASX

• Customer Testimony

• Q & A


Marriot Philadelphia – EMS CASE STUDY

Project Scope • EMS study conducted in 10 rooms , 5 with EMS and 5 Without

EMS.

• Energy consumption was monitored for 1 year.

• Three forms of energy where monitored Electricity , Heating &

cooling.

EMS Strategy

• Rented Occupied

• Rented un-occupied

• Unrented unoccupied

• Various levels of setback used from +/- 1 Degree to +/- 4 Degrees

• 10 Min delay time


Summary & Results • Annual Savings $ 400 Per Room/ Year

• Average cost of deployment $ 300 per room .

• Pay back 9 Months ( 0.75Yrs)

Marriot Philadelphia – EMS CASE STUDY


Energy Saving in Hotel Room Using IRAS Technology


IRAS Value Proposition

• Energy Control with Comfort

- Easy to use, intuitive controls

- Automatically welcomes the guests

- Energy management (with advanced PIR)

- Supports corporate sustainability programs

• Advanced Management Information

- Greater productivity, improved guest experience

• Expanded Functionality Through Integration

- On-line locks, IPTV Control, IPT, PMS, BMS, EAS

- HTNG sanctioned Fast pack protocol – open policy


IRAS Applications

•Energy management

•Humidity limiting

•Lighting control

•Device control

•Bedside control

• INNControl 3TM

•Central lock control

•Systems integration

•Server based control

•System management

• Temp control


Stand Alone System in a Standard Room

<< 21

24 Room Temp Set

temp

Fan : ON Cooling : ON Fan : OFF

Cooling : OFF

23

CT

Hi Mid Low

shades

Occ Un-Occ

22

24

24 22


Energy Management Strategy

1.) Rented Occupied • Guest controlled temperature settings within properties predefined

temperature range

2.) Rented Unoccupied Room temp in unoccupied rooms maintained within 2°C (4°F) of

guest target

15% - 20% savings

3.) Unrented Deep Setback Upon Check-out (18°C / 26°C)

10% - 15% savings

Based on occupancy and not a set schedule


Energy Savings – Attractive ROI

• 25% - 35% total savings in room

• 8% - 10% property wide savings

• 2 – 3 year payback


Central Network Benefits

• Real time access to all guestroom information

• Distributed to specific departments

• Increases the efficiency of hotel operations which

enhances guest experience

• Rented vs. un-rented setbacks for more energy savings

• Remote HVAC control and monitoring for superior guest comfort

• Remote trouble reporting

• Interface with 3rd party vendors PMS/BMS/Paging

• Logging of room data for evaluation

• Enhanced support from INNCOM headquarters via WAN


Analytics Service eXchange

ASX


ASX as a Customer Service Tool

• Converting reactive customer interactions into pro-active and positive customer

interactions - Qualitative & quantitative data as a basis for discussions - Checklist for a balanced project review (what’s good, what’s bad) - ASX becomes a competitive differentiator

• Communicate energy savings results to support past purchase decisions

• Prioritized and actionable to-do lists to improve system performance

• Creating additional ongoing touch-points with customer • Elevate effectiveness of customer interactions


ASX as a Scientific Tool

• Provide new insights as industry firsts

- How well do guests sleep? What are the consequences?

- What are the key drivers for energy conservation results?

- How are guests using IRAS equipment?

• Analyze existing properties to help invent and validate new algorithms

- Instant setback on door closure

- Occupancy and usage patterns

• Communicate with brands, flags and owner groups


ASX – Benchmarking Rooms

• Do guests sleep well in all rooms alike?


ASX – Benchmarking Rooms

• Is heating and cooling demand in all rooms the same?


ASX – Detailed Performance Study

• Detect exceptional patterns to identify hidden problems


“Big Data” at a Glance

• Honeywell Big Data process

- Connect: Only networked systems can produce insight

- Collect & Store: Maintain a solid storage infrastructure (backup)

- Enrich & Manage: Mesh-up with other data sources

- Analytics: Ask questions, qualify a hypothesis

- Create Insights: What’s new? What’s a game changer?

- Deliver, Visualize: Communicate in an understandable format

- Realize Value: Execute on the insights

• ASX has all the elements of Big Data

- INNCOM has a technology back in the form of HBT Big Data Labs


ASX – Data Ownership

• ASX data is confidential and contains sensitive information that is valuable to each

INNCOM customer

- Energy bills, Savings results, Occupancy loads, Equipment quality, Guest

complaints

• INNCOM shows a high standard of ethics towards safeguarding information

• INNCOM periodically reviews its data privacy procedures to assure that data

breaches can be minimized in magnitude and frequency


ASX Report – Casino in Las Vegas

Executive Summary

This report relates to a major casino property located on the Las Vegas strip. The INNCOM

system installed at the property consists of an EMS thermostat, entry door light switch and

the integration of a VingCard (TimeLox) door lock. The system is based on E528.4G

thermostats with RF capabilities.

Based on the extracted data, the property looks to perform very well and the maintenance

of the equipment and systems is very good. There are no urgent pending action items but a

few aspects that might be improved are outlined throughout this document.

Estimated yearly Savings: $309,174

Estimated yearly Savings: 29.9%


ASX – Health Check

System Aspects Operations

PMS Interface Cooling Demand

Occupancy detection Heating Demand

LEM (Limited energy management) Fan Operation

HVAC Alarms PMS-based energy savings

Network Uptime Occupancy-based energy savings

Legend

Nominal, good Acceptable, possible room for

improvement

Critical, needs to be addressed

Action Items

As of June 30, 2013, the property reports #4000# rooms online instead the nominal #4035#. Non-communicating rooms should be brought online to maintain full benefits of the system. The missing 35 rooms should be brought online.

There is a steadily increasing trend rooms that have LEM (limited energy management) engaged. Study the cause for this trend and possibly consider to re-configure the thermostat to an ES1-protected LEM mode to avoid abuse by hotel guests and personnel should this be the issue.

May and June 2013 showed a significant HVAC demand fulfillment issue. Compare this performance with central plant data and adjust for possible severe weather conditions.

Network could be more stable. Study possible solutions for improvement.


ASX – Energy Saving and ROI

Date No EMS EMS Savings Savings%

2012/7 $107,106 $68,405 $38,701 36.1%

2012/8 $105,399 $64,815 $40,584 38.5%

2012/9 $97,983 $60,895 $37,088 37.9%

2012/10 $82,421 $53,712 $28,710 34.8%

2012/11 $71,977 $46,787 $25,189 35.0%

2012/12 $64,591 $44,010 $20,580 31.9%

2013/1 $63,935 $45,684 $18,251 28.5%

2013/2 $66,745 $48,375 $18,369 27.5%

2013/3 $77,156 $58,695 $18,460 23.9%

2013/4 $86,729 $66,666 $20,064 23.1%

2013/5 $96,494 $75,211 $21,282 22.1%

2013/6 $113,663 $91,767 $21,896 19.3%

Total $1,034,197 $725,023 $309,174 29.9%

Note: The charts above and on the following pages are based on measured HVAC equipment run-time. This data is continuously transmitted from the rooms over the backhaul network to the server. The server stores this data in its database. Through a model, this run-time data is converted to energy and then further propagated to a cost model. The accuracy of the presented data depends on the correct selection of the model’s coefficients. INNCOM can adjust these model coefficients on request for aligning the presented data with metering data.

Approx. 30 % Energy can be saved using

EMS and Analytics


ASX – Graphical Presentation


ASX – Report Format

• Communicates facts with data

• Can be Personalized to each property

• Manageable in size and

understandable by non-experts

• Actionable, prioritized

• Facilitates benchmarking (year over

year, multi- property)


ASX – Analytics Service eXchange

• Customer Service Tool

• Scientific Tool

• Benchmarking Tool

• Health Check of the System Tool

• Savings Tool


Picture: IBM



From:

GORDON R. WILLIAMS

&

HONEYWELL INC.

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