1. 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

2. MMEA Cleen SHOK project 2010 – 2013 (- 2015) 1) new on-line & remote sensing technologies, 2) interoperable environmental observation systems, 3) management systems for environmental efficiency 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% 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%

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: –Green mining –UAV pilot –Indoor pilot –China testbed

4. Indoor pilot objectives 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

5. Indoor pilot system overview

6. IEQ index (temperature/CO 2 /etc.) A 1-month trend of the the work day footprint values 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 Target: CEN EN 15251 Cat II Footprint of individual room (% of time in each cat) 3 On target CEN EN 15251 Cat II 4 Below target, within range 2 Above target, within range 1 Above range 5 Below range

7. 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

8. Metropolia’s Touch screen info system Main menu Space booking view -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

9. 3D navigation model: Otaniemi buildings 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

10. 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

11. 3D navigation model: IEQ index in Digitalo

12. 3D navigation model: Building registry data Any numerical parameter (1-47) can be visualised

13. Platform and Indoor Environment demo at SHOK summit 25.4.2012 in Marina –Marinas Indoor temperature, CO 2,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 http://maker.fatman.fi/mmeaui/MMEAGUITestPa ge.html Components and interfaces in the indoor pilot

14. Indoor air quality Next actions 2013 - 2014 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