Group 4 - GreenInn - Smart Hotel Concept
Team
Motivation
Project ideas
- - Short-term implementation
  - Long-term implementation (5-10 years)
Monetization & Value
System Architecture
Implementation
EnOcean: A home automation technology
References
Annex

Group 4 - GreenInn - Smart Hotel Concept

Full name	Student number
Anastasiia Grishina	0528718
Jose Mauricio Perdomo Zelaya	0528912
Florian Akos Szabo	0528983
Ijlal Ahmed Niazi	0528886

Team

Motivation

Hotels consume large amounts of energy which is often wasted, since the facilities are not tuned to the mode of their use. Guests are away from their rooms more than 50% of the time, frequently leaving utilities running in their absence.

Attracting guests by the green image and showing them technologies are there and smart home is feasible.

Reducing energy consumption with high users engagement

Project ideas

Some features of hotel automation are listed here.

Short-term implementation

Implementation of ideas with short-term result comprise concepts which currently exist.

If you cannot measure it, you cannot control it

High granularity measurements	Effect
Food waste	Optimize resources supply
Outdoor light brightness	Shutter control to save lighting energy
Temperature & humidity	Effective climate control with air conditioning Heating Ventilation power
Energy used by a room	Incentivize users to use energy eficiently Calculate the room price for check-out Calculate bonuses for guests and translate them into free bar drinks or similar benefits Translate energy used into CO2 emissions for green audit
Electrical network load	Advize users to charge their devices at specific times to avoid peak loads
Water use	Calculate the room price for check-out
Automation	Effect
Appliances power control: activate the outlets with guests' phones	Provide guests with an easy way of managing their power consumption of pluged in devices
Lock/unlock the door with smartphones	Guests' comfort & experience, less plastic is consumed if the cards are excluded
Smart elevator recognizing guests' destination	Optimize number of lifts and energy use
Automated assistant present for special orders	Avoid calling, optimze tasks stored in the system queue
Improved parking	Lighting control triggered by motion Customized lighting quidance for the guest to find their parking lot
Shared hybrid/electric cars	Reduce fuel consumption
Facilities activated upon users' presence or query	Efficient energy use (gym is powered on, swimming pool is heated only when visitors choose to come mentioning it in the hotel app
Robotization of simple tasks: cleaning, delivery (food, tea set, towels)	Reduce use of elevators and extra energy

Long-term implementation (5-10 years)

Long-term results can be achieved upon technological readiness of devices.

Optimization	Example	Effect
Virtual reality for travelling	VR use for quick journeys	Reduced carbon footprint, since guests do not use tansportation
Sightseeing with a robot	Drone accompanying hotel guests on a walk	Customized sightseeing can reduce the travel expenses, including CO2
3D printing of furniture and clothes with the use of biodegradable materials	Guests do not have to travel with large luggage, they print clothes instead	Reduced cost of travelling
Holographic projection for design purposes	Users can change holographic picture projected on their room setting to any pleasant environment (seaside, mountains)	Less materials are needed for different room designs
Cisco Meraki equipment for network devices	Manage the network of devices with a centralized dashboard	Monitoring energy consumption of the whole network, reducing the cost
Systematic green audit	Independent parties perform audit on the hotel chain and suggest improvements	Optimization of energy consumption
Advanced air sensors	Aromatherapy in the room	Saving space which was previously used for spa
Adjusting room walls	Shaping the suits for number of guests who would like to live together	Reduces construction cost

Fancy improvements enhancing guest comfort

* Wearables (bracelets) for guests, which show their mood and reflect their readiness to interact with hotel staff or they want the least interaction possible

* AI holographic image of a fitness trainer right in a guest's room

* Changing the shapes of walls and ceilings, adjust colours, create sofas standing out from walls using a smart wall material

Monetization & Value

* Energy savings & personal bonuses

Bonus: 5 € cents for each kWh saved by a room

10 % savings for an average hotel room = 71 kWh = 3,5 €/h for the greenest guest

Bonuses can be used for hotel payments, drinks, other pleasantries

10% energy

* 3D Printing of the Wardrobe

1 bag 23 kg = 9 kg airplane fuel = 22 € added for a ticket = 5 T-shirts & 1 suite on a 3D printer

* VirtuTravel

10km in a car = 1.37kg CO2

VS.

5 hours of HTC Vive = 211g CO2

* Direct Savings: 10% daily energy savings for a 1000 room hotel with room square 15 m2 results in 50 million €/year

* Market Value: Act as advertisers for equipment manufacturers and provide discounts for guests

* Marketing Image: The first “Green Enabler” hotel where guests can control their environmental impact and get incentives for being green

System Architecture

Implementation

Devices used on the System:

1. FHEM server: DHS with antenna

2. Philips Hue Bridge to connect HUE lights with the FHEM server.

3. Philips Light Huego + LightStrip Plus for signalling

4. HomeMatic Switch Actuators to completely power off appliances

5. Temperature and humidity sensor to trigger ventilation system

Implementation Scenarios:

Scenario 1

Used Devices: Temperature & Humidity Sensor , Philips Hue Iris Light, HomeMatic Switch Actuator (FAN)

Scenario Description

Hotel Automation technology will be present in every room of the hotel. Each bathroom of the hotel will have an automated ventilation system and a temperature and humidity sensor. Moreover, the hotel will possess a control room which will have leds that will represent the current state of each guests’ bathroom. In our case, the Philips Hue Iris Light will represent the led in the control room. If the temperature or humidity surpass a certain threshold, the automated ventilation system will be triggered, and the corresponding change will be triggered to the respective led of the hotel’s control room as well.

Configuration

First, all the devices must be paired with the FHEM server. ( T&H sensor, HUE lights, wireless switch actuator ). The detailed procedure can be found on the report of this project. The following figure shows the paired devices for our purpose.

Thereafter, you create a generic notification and change the DEF field with the following code. This will create a trigger to activate the system.

        HM_341B72 {
                my $temp = ReadingsVal("HM_341B72","temperature",0);
                my $humi = ReadingsVal("HM_341B72","humidity",0);
                if ($temp > 27 or $humi > 35) {
                      fhem "set HM_3F88A7 on";
                      fhem "set Philips_HUEDevice3 hue 65324";
               } else {
                      fhem "set HM_3F88A7 off";
                      fhem "set Philips_HUEDevice3 hue 37243";
               }
        }

Scenario 2

Used Devices: Philips Hue LightStrip, Three-State Door Sensor ( as a Resource Usage Signaling )

Scenario Description

The hotel automation technology will manage to influence user’s behavior. Sensors and actuators will be embedded throughout the guests’ rooms in the hotel and will be able to provide resource accounting at a user level. Each guest will have a Philips Hue Lightstrip outside of their respective room. These lights will change color depending on the amount of resources , i.e. energy, water, etc…, the guests have used. The light strip will display green, if they maintained an acceptable level of resource consumption, red, if they surpassed their allocated resources for the day. People outside of the hotel will be able to see whether the guests of GreenInn are being resource efficient ( i.e. green ) or not. If the green light is maintained during the whole day, guests will be able to gain “carbon” bonuses that can be exchanged for drinks and food.

Configuration

The devices’ configuration can be found on the report annexed on this wiki. The procedure is the same as the Philips Iris Hue light.

With the following code you can create a trigger for the outdoor striplights. The first will signal that the guest has an adequate resource consumption.

         HM_30EA82:closed set HUEDevice4 hue 0

The following code will indicate that the guest has surpassed its allocated resources for the day.

     
         HM_30EA82:closed set HUEDevice4 hue 19852

EnOcean: A home automation technology

Technology:

Based on Energy Harvesting
Motion, Light, Temperature
Unordered List ItemUses micro energy converters to power devices
Ultra-low Power Management
Standby current of order 100 nA
Low Power Wireless Communication
A signal can be transmitted to a distance of 30 meters indoors with 50 µW

Features:

Simple radio transmission system
Use of Frequency Shift Keying (FSK) modulation to enhance efficiency of amplifiers
Use of frequency ranges with highest air time availability
868MHz, 902MHz, 928MHz
High data rate of 125kbps
Highly reliable communication with very low collision probability
Interoperability b/w a variety of devices

Standardization:

EnOcean wireless standard developed for interoperability of devices and ratified as international standard ISO/IEC 14543-3-10 in 2012
The standard covers 1 - 3 layers of OSI model

EnOcean Alliance

A spin-off of Siemens founded in 2001 currently based in Oberhaching
To promote the technology an alliance was formed initially by EnOcean, Texas Instruments, Omnio, Sylvania, Masco, and MK Electric
The alliance aimed to create an international wireless standard for seamlessly interoperable products
Currently with more than 250 members