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Energy efficient Indoor
Environments- Indoor pilot
Eija Parmes, Kari Rainio, Paula Järvinen, Pekka Siltanen, VTT
Teemu Vesanen, Jorma Pietiläinen, Mikko Tuomisto, VTT
Harri Hahkala, Jorma Säteri, Metropolia
Janne Rasi, Fatman Oy
Workshop on Energy efficient construction and indoor air
quality 19.3.2013
MMEA
• Cleen SHOK project
• 2010 – 2013 (- 2015)
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1) new on-line & remote sensing technologies,
2) interoperable environmental observation systems,
3) management systems for environmental efficiency
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Research Institutes 43%
VTT Technical Research Centre of Finland 8,6%, Tampere University of Technology 7,3%, Finnish
Meteorological Institute 6,9%, The Finnish Environment Institute (SYKE) 4,8%, University of Oulu 3,7%,
Aalto University (TKK) 2,6%, University of Helsinki 1,8%, The Finnish Geodetic Institute 1,8%, The Centre
for Metrology and Accreditation (MIKES) 1,7%, University of Eastern Finland 1,3%, MTT Agrifood
Research 0,8%, Helsinki Metropolia University of Applied Sciences 0,7%, University of Jyväskylä 0,7%
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Industrial Partners 57%
Vaisala Oyj 12,7%, Metso Automation Oy 7,3%, HiQ Finland Oy 3,4%, Pegasor 3,3%, Da-Design Oy
2,3%, Aerial Oy 2,1%, Eigenor Oy 1,8%, Anturikeskus Oy 1,8%, Cubio Communications Oy 1,6%,
DigiEcoCity Oy 1,6%, Indmeas Oy 1,4%, Dekati Oy 1,4%, A-Lab Oy 1,3%, Modulight Oy 1,3%, Wärtsilä
Oyj 1,3%, Helsingin Energia 1,1%, Helsinki Region Environmental Services Authority (HSY) 1,1%,
Fatman Oy 1,1%, Harp Technologies Oy 1,1%, Lentokuva Vallas Oy 1,1%, Green Net Finland ry 0,9%,
Gasmet Oy 0,8%, Space Systems Finland Oy 0,8%, Measurepolis Development Oy 0,7%, Numerola Oy
0,7%, Stora Enso Oyj 0,6%, Kemira Oy 0,6%, Gasum Oy 0,5%, Agnico Eagle Finland Oy AB 0,5%,
Outokumpu Oy 0,4%, Jyväskylän Energia Oy 0,4%, Luode Consulting Oy 0,4%, Outotec Oyj 0,3%
MMEA work packages
• WP1 Interoperable measurement systems (Platform
integration)
• WP2 Management system for environmental efficiency
• WP3 Remote sensing
• WP4 Particles and emissions
• WP5 Business applications, task:
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Green mining
UAV pilot
Indoor pilot
China testbed
Indoor pilot objectives
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Indoor environment data and energy use data is brought to MMEA
platform(Envitori market place) for benchmarking , optimising and
visualisation
Development of Indoor air quality index and energy efficiency index
Increase visibility of indoor conditions
Piloting for different stakeholder groups
Building user
User
feedback
Indoor
pilot system
overview
Measurements
- building indoor conditions
- energy consumption
- lighting
Office
condition info
Reports of Building
conditions
Building automation systems
Building equipment
PILOT SYSTEM
Tenant
Index calculation
Reporting
Alerting, warning
Guidance, Control
Analysis, Diagnostics
Reports of Building conditions
Energy performance certification
Status information
Trends, behaviour
Guidance
Control
feedback
System configuration
Data management
Data interface management
Building usage
- utilisation rate
Building owner
Reports of Building conditions
Alerts, guidance
Control, diagnosis
Optimization
Facility manager
Building information system
- stuctures and
properties
- models
Simulation models
BIM
Users
- presence
- work
Analysis
Exploration
Index
Overviews
Comparison
Reports
Expert, researcher
Public authorities
Environmental conditions
- weather
- emissions
- pollution
- pollen
Casual web
user
Geodata
- Road network
- Buildings
- Trees, vegetation
- Elevation
IEQ index (temperature/CO2/etc.)
1 Above
range
2 Above
target,
within
range
Footprint of individual room
(% of time in each cat)
3 On
target
CEN EN
15251
Cat II
4 Below
target,
within
range
5 Below
range
A 1-month trend of the the work day
footprint values
Target: CEN EN 15251 Cat II
Target: CEN EN 15251 Cat II
01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31
Day of month
The system is piloted in three buildings
• Otaniemi area and Digitalo
– Otaniemi area energy use data from energy provider
– Digitalo energy use and indoor temperature data from building
automation systems
– a map visualization in 3D and a visual analytics web
application.
• Fatman office building
– Energy use and indoor temperature from wireless sensor
network
– Pilot will be integrated to Fatman Oy's origoxrp system using
some of it's data.
• Metropolia school building
– Indoor temperature from wireless sensor network
– Display of results using touch screen info system at lobbies
Metropolia’s Touch screen info system
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Metropolia building indoor parameters have been interfaced to
MMEA platform
Indoor air quality index calculated and shown on touchscreens
Next to integrate to space booking system
Main menu
Space booking view
3D navigation model: Otaniemi buildings
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Any measured parameter can be visualised at the desired time point (hour):
POWER, REACT POWER, DISTRICT HEAT, WATER consumption
The buildings are coloured with rainbow palette: min = black, max = white
3D navigation model: Digitalo rooms
• Any measured parameter can be visualised at the desired time point (hour):
WDT, WRH, WDD, CT, CCO, PR, CW, WOT
• The rooms are coloured with rainbow palette: minimum = black, maximum =
white
3D navigation model: IEQ index in Digitalo
3D navigation model: Building registry data
• Any numerical parameter (1-47) can be visualised
Platform and Indoor Environment demo at
SHOK summit 25.4.2012 in Marina
Components and interfaces
in the indoor pilot
– Marinas Indoor temperature,
CO2 ,RH%, activity and
illuminance data from wireless
sensor network was transmitted
through 3G modem to platform
– Data was transformed into
platform form
– Indoor air thermal comfort index
algorithm was build up on
platform
– Platform was integrated to
Fatman Oy's origoxrp user
interface system using Marinas
indoor data.
http://maker.fatman.fi/mmeaui/MMEAGUITestPa
ge.html
Indoor air quality Next actions 2013 - 2014
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To expand Indoor Environment Quality Index
– sensor data on fine particles (Pegasor)
– presence
– outdoor condition data (FMI open data 2013)
– Building registry data (VRK open data ? )
Interfacing new variables to MMEA platform
Heat leak detection by UAV and airplane thermal imaging (April 2013 with Aalto, Lentokone
Vallas, Geodetic Institute)
Integrated analysis of Energy consumption, Indoor air parameters, Building registry data,
physical environment
Model library for different building types
Further piloting of different user interfaces
– a map visualization in colors , 3D and a visual analytics web application.
– mobile air quality monitoring
– display of results using touch screen info system at Metropolia lobbies