sm middle ware for public spaces - ectp
TRANSCRIPT
Sm
Project
Prepar
Issued
Docum
Classi
Submi
Due DProject
©CopyrFraunhoAR, KaSuperio
mart En
Duration
red by
d by
ment Num
fication
ission Dat
Date co-funded by
right 2013 Pofer-Gesellsatholieke Unore Mario B
FP7
nergy E
2010-
Integ
mber/Rev.
te
y the Europea
Politecnico schaft Zur Fniversiteit Loella Sulle
7-2010-N
EeB.IC
fficient
-09-01 – 20
WP no.
WP5
grated w
Ulf Wi
CNet
SEEM
SEEM
2013-0
2013-0an Commissi
di Torino, Foerderung
Leuven, UniTecnologie
Public
NMP-ENICT-EeB
CT.2010.10
t Middle
13-08-31
D
web-ba
ingstedt
MPubS/ CN
MPubS Pub
02-28
02-28 ion within the
STMicroeleg Der Angeiversite Cla dell’Inform
NV-ENERB 0-2 - ICT
eware f
Deliverable
D5.5
ased sy
Net/D5.5/V
blic
e Seventh Fra
ectronics srewandten Foaude Bernarmazione e d
RGY- S
for Pub
Ty
no.
ystem
Version 1
amework Pro
rl, Centro Rorschung Erd Lyon 1, Selle Telecom
SEEMP
lic Spac
ype CP
Lead parti
CNe
1.0
ogramme (20
Ricerche FiaE.V., CNet Sinovia SAmunicazion
PubS
ces
P
cipant
et
007-2013)
at SCPA, Svenska
A, Istituto ni.
D5.5 Integrated web-based system
Document Title Integrated web-based system
Type
Ref D5.5
Target version V1.0
Current issue 1.0
Status FINAL
File
Author(s) Ulf Wingstedt (CNet), Vivian Esquivias (CNet), Mathias Axling (CNet), Valerio Lo Verso (Polito), Anna Pellegrino (Polito)
Reviewer(s) Giorgio Pasquettaz (CRF), Anna Osello (Polito)
Approver(s)
Approval date
Release date
Distribution of the release Dissemination level PU
Distribution list All partners
History of Changes
ED. REV DATE REASON FOR CHANGES
Ulf Wingstedt
01 22.02.2013 First draft
Ulf Wingstedt
02 26.02.2013 Introduction and introduction to section 2
D5.5 Integrated web-based system
Vivian Esquivias
8.03.2013 Section 3 added
Valerio Lo Verso
15.03.2013 Section 2.1 added
Vivian Esquivias
21.03.2013 Final changes before internal review
Anna Osello
26.03.2013 Internal review
Giorgio Pasquettaz
29.03.2023 Internal review
Vivian Esquivias
3.04.2013 Final version
Table of Contents 1 Introduction ........................................................................................................................ 1
2 Data Collection and Elaboration ........................................................................................ 2
2.1 Data processing and format to visualize through the portal ........................................ 3
2.1.1 Information useful for the energy manager .......................................................... 3
2.1.2 Information useful for the facility manager ......................................................... 9
3 Web portal & mobile web app ......................................................................................... 10
3.1 Energy awareness tools ............................................................................................. 10
3.2 Energy manager tools ................................................................................................ 13
3.3 Voting and check in mobile web app ........................................................................ 15
4 References ........................................................................................................................ 18
TableofFiguresFigure 1: Four levels for on-going/continuous control and monitoring system [D5.1] ............. 2
Figure 2: Interaction between energy performance, environmental conditions and user actions which can be explored based on the monitored data. ................................................................. 3
D5.5 Integrated web-based system
Figure 3: Example of graph showing the frequency of temperature values lying in the range 21°-23°C for the winter period (corresponding to the comfort class A according to the standard ISO 7730) ..................................................................................................................... 8
Figure 4: Example of graph showing the variation of illuminance values over the working plane throughout the year ........................................................................................................... 9
Figure 5: Current energy consumption, temperature, lightning and occupancy status ............ 10
Figure 6: Room comparisons and tips ...................................................................................... 11
Figure 7: Historic energy consumption .................................................................................... 12
Figure 8: Detailed data visualization ........................................................................................ 13
Figure 9: Frequency charts ....................................................................................................... 14
Figure 10: Environmental charts .............................................................................................. 15
Figure 11: Voting & check in mobile web app ........................................................................ 16
Figure 12: Voting results for energy manager ......................................................................... 17
TableofTablesTable 1: Examples of graphs visualizing information useful for energy managers to assess the building energy consumption. .................................................................................................... 6
Table 2: Examples of graphs visualizing information useful for energy managers to assess the building energy wastage. ............................................................................................................ 7
D5.5 Integrated web-based system
Page 1
1 Introduction
This document describes the software deliverable (Demonstrator) D5.5. Integrated web-based system. The web based system includes a set of reports and tools for analysis of energy consumption and environmental data collected from the SEEMPubS pilot installations. A critical analysis of such data will enable identification of energy waste and reveal the most important energy saving opportunities. It will also support validation of applied control strategies by comparison of test and reference rooms.
Analysis of collected data in SEEMPubS implies that a large quantity of data must be processed and presented to users in a comprehensible format adapted to the analysis tasks.
The new reports and tools described in this document have been implemented as a part of the Community Web Portal described in e.g. D3.2 Updated Specification of Intelligent Context Energy Awareness Service Framework and User Comm. Portal and D3.3 First Version of Intelligent Context Energy Awareness Framework and User Community Portal. Also, the selection of reports have been designed with input from D2.3.2 Updated Conservation Strategies and in particular D5.1 Data Format Definition.
Section 2 discusses how the data is collected and elaborated as well as how it can be visualized to work as tools to help make the system more energy efficient.
Section 3 discusses the web portal from a usage point of view, more details about how the web portal was implemented and how it works can be found in D4.6.3.
The web portal can be found at: http://energyportal.cnet.se/seempubs/Index.aspx To sign in as an employee use email: [email protected], password: hemligt. To sign is as the energy manager use email: [email protected], password: hemligt. You can also select any room within the system by clicking on the “Buildings” icon on the top menu.
2 Da
The depdeliveralevelled
Data wisystem and data
D5.1 su
1) Dt
2) Dv
3) D4) D
e
Based oto suppo
1) H2) T3) P4) V
5) A
ata Colle
ployed conables and isd model for
Figure 1:
ill be collelevel for ana selections
uggests a set
Data relatedtemperature Data relatedvelocity statuData related Data related electrical sw
on the data fort user info
Historical daTrend indicaPossibility toVarious form
a. Composs
b. Comc. Norm
consAutomatic id
ection an
ntrol and ms summariza continuou
Four levels fo
ected at thenalysis and are present
t of data for
d to comforset point and
d to thermal us to electric ento the use of
witches.
flows from ormation req
ata over confations o get aggregams of comparmparisons shsibility to incmparisons of malized comsumption perdentification
nd Elabo
monitoring zed in D5.1us monitorin
for on-going/c
sensor levelaborationted to ensur
rmats divide
rt conditionsd indoor relaenergy cons
nergy consumf spaces and
deployed sequirements.
figurable tim
ated reports frisons, in par
howing comfclude data frotest and refe
mparisons br m2/year) of possible e
Page 2
oration
architecture1 Data Formng system (
continuous co
vel, transmin. At the serre energy sa
ed into four
s including ative humiditsumption ba
mption for libuilding ser
ensors, a nu. Typical re
me ranges as w
from room torticular fort level inom times wherence roomsbetween room
energy waste
D5.
e has beenmat DefinitSee Figure
ontrol and mo
tted by midrvice level, avings under
main categ
lighting conty. sed on supp
ight and applrvices origina
umber of onquirements
well as curre
o floor level,
relation to hen the spaces ms/floors /b
e situations.
5 Integrated
n described tion that als1)
onitoring sys
ddleware anappropriater acceptable
gories, in sum
nditions, ind
lied air temp
liances ating from oc
nline reportsare:
nt values (lat
, from floor t
energy usag was occupie
building of
d web-base
in detail so describe
stem [D5.1]
nd networkely designede comfort le
ummary:
door air tem
perature and
ccupancy sen
s can be con
atest readings
to building le
ge and savined.
different si
d system
in other es a four
ks to the d reports evels.
mperature,
d fan coil
nsors and
nstructed
s)
evel
ngs, with
izes (e.g.
2.1 D
Figure 2and user
Differenmanagedifferenenvirontemperathe wordifferenThe eneconsumto guarathe sammeasure
The diff
Figure 2be explor
2.1.1 I
As far aspects providethe enerthe follo
Data proce
2 summarizr actions wh
nt categorieer, have a nt spaces of nmental conature, relativrking hours
nt HVAC aergy manag
mption for thantee comfo
me time thees.
ferent viewp
: Interactionred based on
Informatio
as energy of the build visual andrgy is wasteowing aspec
essing and
zes the interhich can be
es of builddifferent in
f the buildinnditions, in ve humiditys, while thnd lighting
ger is interehe building ort conditio energy wh
points are d
between enethe monitore
on useful fo
managers ading performd thermal coed, both durcts represen
d format
raction betwexplored ba
ding users, nterest in tng: in short,
terms of y and illumhe facility mg system opested in all or for build
ons for occuhich is was
described in
ergy performed data.
or the energ
are concernmance, in teomfort wheing working
nt interesting
Page 3
to visuali
ween energased on the
namely thethe energy , the occupathermal an
minance levemanager is perate durinthese aspec
ding zones (upants durinsted, in ord
more detai
mance, enviro
gy manager
ned, the reqerms of howen occupantg time and wg data infor
D5.
ize throug
gy performa monitored
e occupantsor perform
ants are mand visual coel within a s
interested ng both worcts, aiming (floors or sing the work
der to ident
l in the follo
nmental cond
r
quired inforw the energyts are carrywhen roomsrmation:
5 Integrated
gh the por
ance, envirodata.
s, the facilimance data inly interesomfort (typspace), theyin verifyin
rking and nat verifyingingle roomsking hours, ify possible
owing secti
ditions and u
rmation is y is efficiening out theis are unoccu
d web-base
rtal
onmental co
ity and thecharacteriz
sted in verifpically in ty experiencng if and hnon-working the globas) which is also quanti
e energy ef
ions.
user actions w
related to ntly used in ir activitiesupied. In pa
d system
onditions
e energy zing the fying the terms of e during how the
ng hours. al energy required ifying at fficiency
which can
different order to
s or how articular,
D5.5 Integrated web-based system
Page 4
building energy consumptions
building energy waste
building energy performance versus environmental performance
building environmental performance (comfort).
2.1.1.1 Building energy consumptions
The energy consumptions monitored in the SEEMPubS project are related to HVAC systems, lighting systems and other appliances. The electric energy consumptions (for lighting and appliances) are measured directly through a number of smartplugs and plugwises installed in various rooms, while the thermal energy consumption for HVAC systems (heating and cooling systems) is obtained indirectly, through analytical equations, starting from measurements of the supplied air temperature and the fan-coils air speed, with regard to both the heating and the cooling season.
In this regard, the following information to assess the building energy performance will be provided to energy managers:
Energy consumed for lighting of for cooling/heating for each month during a year and for the whole year.
Data presented to energy manager will be both absolute energy consumption values (expressed in KWh or MWh) and energy performance indexes. The LENI (Lighting Energy Numerical Indicator), expressed in [kWh/(m2 month)] or in [kWh/(m2 year)] and the energy performance indices for cooling EPcooling and for heating EPheating, expressed in [kWh/(m2 month)] or in [kWh/(m2 year)], respectively, will be used as energy performance indicator of a single room or of the whole building. The knowledge of LENI, EPcooling and EPheating values allows the energy manager comparing the energy performance to:
- benchmark values (for the energy consumption for lighting, for instance, could be taken from the standard EN 15193, in terms of maximum LENI values for a given building usage)
- performance classes (available for EPcooling and EPheating) - performances of other buildings or other rooms of the same building. The comparison can be done for performance relative to entire years (comparing one year to another) or within the same day, month by month (comparing the energy consumption of different months or for the same month in different year). This way, the energy manager has an aggregate or disaggregates view of what the energy consumption for the building is during the course of a year or year after year
Energy consumed for lighting or for heating/cooling during working days, non-working days or during night hours, with regard to single months or to the whole year.
Disaggregated data, referred to working days, non-working days and night-time is a first step to provide the energy manager with more detailed information on the energy usage in buildings/rooms and on possible energy wastage.
D5.5 Integrated web-based system
Page 5
Once more, data presented to energy manager will be both absolute energy consumption values (expressed in KWh or MWh) and energy performance indexes (expressed in [kWh/(m2 month)] or in [kWh/(m2 year)]).
Data concerning energy consumption will be also compared to meteorological data:
Energy which is consumed daily for lighting or for cooling/heating related to the external conditions. For instance electric energy consumed for lighting can be related to external irradiance and thermal energy consumption can be related to external irradiance, air temperature and relative humidity.
This information is useful for the energy manager to connect the energy usage to the boundary external conditions, which depend on the climate characteristics of the site as well as on the period of the year. For instance, a peak in the energy consumption for cooling could be due to an extremely hot and sunny day in summer (during which high irradiance and air temperature values are measured); or a peak in the energy consumption for lighting could be due to a cloudy day in winter (during which low irradiance values occur).
In table 1 some examples of graphs representing the previously described building energy performance information are presented (note that reference data were used to plot all the graphs, which are intended to be examples of the possible visualizations).
D5.5 Integrated web-based system
Page 6
Example of graph showing the energy demand for
lighting referred to the whole year 2013
Example of graph showing the energy demand for lighting referred to different years
Example of graph showing the monthly energy consumption for lighting, split into working and
non-working days
Example of graph showing the energy consumption for cooling plotted versus the
external global horizontal irradiance
Table 1: Examples of graphs visualizing information useful for energy managers to assess the building energy consumption.
2.1.1.2 Building energy waste
An issue to which the energy manager pay special attention is the improper use of the energy for lighting and for heating/cooling, which represents an energy waste: this condition may happen both for times during which a room is unoccupied (for instance, all electric lights should be switched off but some remain on; or heating/cooling systems keep operating when a room is unattended) and during the occupancy time, for instance for cases in which an illuminance value far over the minimum target level over the working plane is detected, which shows an oversized use of electric lights.
With regard to the energy waste concerned with lighting or with heating/cooling systems, the following information to assess the building energy performance will be provided to energy managers:
Energy consumed for lighting or for heating/cooling during non-occupied hours (with respect to occupied hours).
The information allows the energy manager quantifying the energy which is used during the occupancy hours, but especially the energy which is used (and wasted) during the
0
5
10
15
20
25
30
January February March April May June July August September October November December
energy consumption for lighting [kW
h/yr]
month
DITER_TEST ‐ energy demand for lighting_ whole year 2013
0
10
20
30
40
50
60
70
80
90
100
year 2013 year 2014 year 2015 year 2016
Energy consumed
for lighting [MWh]
Energy consumed for lighting [MWh] ‐ YEARLY
0
5
10
15
20
25
8‐9 9‐10 10‐11 11‐12 12‐13 13‐14 14‐15 15‐16 16‐17 17‐18 18‐19 19‐20 20‐6
Energy consumed
for lighting [kW
h]
hours
Energy consumed for lighting [kWh] ‐ HOURLY DATA referred to a MONTH
working days
non‐working days
0
10
20
30
40
50
60
70
80
90
100
0.0 5.0 10.0 15.0 20.0 25.0 30.0 35.0 40.0
energy consumption for cooling ‐DAYILY AVER
AGE
[kWh]
external horizontal irradiance [W/m2] ‐ DAYLY AVERAGE
energy consumed for cooling ‐ DAYLY
Serie1
Lineare (Serie1)
D5.5 Integrated web-based system
Page 7
periods of time in which the occupant are not present in their room (even during the working hours, because of a temporary absence). This is particularly useful for electric lighting consumption, in fact high values of energy consumption during unoccupied time could mean that the control systems are not working properly (in case occupancy sensors are installed in the rooms) or that energy saving measure could be applied to improve the building energy performance.
Energy consumed for lighting during occupied hours when E > Etarget (for rooms equipped with photo-dimming sensors only), energy consumed for heating during occupied hours when t > tsetpoint, winter and energy consumed for cooling during occupied hours when t < tsetpoint, summer.
Through this kind of information, the energy manager has the chance to identify an improper use of energy to guarantee an environmental performance far greater or far lower a standard requirements, in terms of both an illuminance over the working plane (Emeasured > Etarget) and of an air temperature measured within the room over the required value during the heating season (tmeasured > tsetpoint, winter) or below the required value during the cooling season (tmeasured > tsetpoint, winter). This extra amount of used energy represents a waste in the case dedicated sensors are installed in the room to dim the light output in response to the daylight availability over the working plane or to switch off the heating/cooling systems when the setpoint is reached.
In table 2 some examples of graphs representing the previously described building energy wastages are presented (note that reference data were used to plot all the graphs, which are intended to be examples of the possible visualizations).
Example of graph showing the monthly energy
consumption for lighting, split into occupied and non-occupied days
Example of graph showing the monthly energy consumption for lighting when the illuminance
over the working plane is over the target illuminance
Table 2: Examples of graphs visualizing information useful for energy managers to assess the building energy wastage.
0
2
4
6
8
10
12
14
16
18
January February March April May June July August September October November December
Energy consumed
for lighting [kW
h]
Energy consumed for lighting [kWh] ‐ MONTH
occupied hours
non‐occupied hours
0
2
4
6
8
10
12
14
January February March April May June July August September October November December
Energy consumed for lighting [kW
h] when E > Etarget
Energy consumed for lighting [kWh] when E > Etarget ‐ MONTLY
D5.5 Integrated web-based system
Page 8
2.1.1.3 Building energy performance versus environmental performance
The energy manager is also interested in quantifying the energy which is used by the building systems (lighting and HVAC systems) to guarantee given comfort levels for the occupants, as prescribed by standards, in terms of both illuminance values over the working plane and air temperature values within the room. This is an amount of energy which is ‘necessary’, as the comfort for the occupants is one of the primary goals, but which can be optimised through appropriate control strategies and systems (such as the use of photo-dimming sensors).
Appropriate performance indices, which correlate energy consumption to environmental condition will be provided, in particular to compare the performance of different control systems or control strategies (for instance Test and Ref room in this project).
2.1.1.4 Building environmental performance (comfort)
The energy manager is interested in visualizing the environmental comfort through analysis graph of the variation of air temperature and illuminance values during the course of the year. In particular, the following information will be provided:
Verification if comfort conditions are met (in terms of air temperature values or illuminance values over the working plane).
The comfort conditions will be assessed by visualizing how frequently air temperature or illuminance values lie within acceptability ranges, defined by the energy manager. Figure 3 shows an example of such a plot, referred to an analysis of the frequency of temperature values in the range 21°-23°C as defined as comfort range for class A in winter, according to the standard ISO 7730.
Figure 3: Example of graph showing the frequency of temperature values lying in the range 21°-23°C for
the winter period (corresponding to the comfort class A according to the standard ISO 7730)
The graph plots the number of air temperature values occurring within the interval 18-28°C for a test room and its corresponding reference room, as well as the corresponding cumulative frequency curves. The comfort range selected by the energy manager (21-23°C in the example) is also displayed and allows calculating on the graph directly the percentage of occupied time during which the air temperature is acceptable (that is in the range 21-23°C). Plotting two series of data for two different rooms allows a quick and
‐
10.0
20.0
30.0
40.0
50.0
60.0
70.0
80.0
90.0
100.0
0
10
20
30
40
50
60
70
80
90
18 19 20 21 22 23 24 25 26 27 28
Cumulative
frequency [%]
occurrence (n. of hours)
Air temperature
Test room
Ref. Room
Cum freq. Test room
Cum freq. Ref room
Percentage of time during which air temp is acceptable for TEST ROOM (based on FM decision about Cat of
space) 48%
Percentage of time during which air temp is acceptable for REF ROOM (based on FM decision about Cat of
space) 23%
Same approach could beused for summer(changing the acceptablerange) or to assess comfort condition for lighting
direcspace
In thoccu(for i
Dynamont
Withwhicday a
- ar- ar- ar
Fig
This any u
A sim
2.1.2 I
From ththe builand eneD5.1). Finterpreenergy c
ct comparises.
he graph (shurrence of illinstance, th
amic variatths).
h reference ch each pixeand time). T
rea with valrea with valrea with val
gure 4: Examp
kind of repuser-defined
milar graph
Informatio
he facility mlding systemergy data) sFurthermor
etation of thconsumptio
on of how
hown as an luminance ve range 300
tion of tem
to the lightel represent Three areas
ues below tues around ues over the
ple of graph
presentationd day or we
could be pl
on useful fo
manager’s vms operate. should be are, differenthe systems on versus oc
frequently
example) thvalues could0-2500 lux).
perature or
ting sector,the illuminare highligh
the target illthe target ile target illum
showing the vthro
n will be poseek or month
lotted with r
or the facili
viewpoint, thIn this rega
available int monitoredperformanc
ccupancy, et
Page 9
the comfor
he temperatd be plotted.
r illuminanc
, for instancnance value hted with di
luminance (lluminance
uminance (R
variation of ioughout the y
ssible not oh.
regard to th
ity manage
he interest ard, the trenn the web pd data coulce (e.g. envtc.).
D5.
rt condition
ture occurred and analys
ce values th
ce, a carpetfor a specififferent colo
(Blue area)(Yellow ar
Red area)
illuminance vyear
only with re
he variation
r
is concernend of each mportal (see d be plottevironmenta
5 Integrated
ns are obser
ence is showsed in terms
hroughout
t diagram cfic moment ours in the d
ea)
values over th
gard to the
of temperat
ed with supemonitored dalso data fo
ed together l condition
d web-base
rved within
wn but simis of an acce
the year (d
could be plof the year
diagram:
he working pl
whole year
ture values.
ervising if adata (enviroformat sugg
to make eversus occ
d system
the two
ilarly the eptability
days and
otted, in (month,
lane
r, but for
and how onmental gested in easer the cupancy,
3 W
The wogatherinD4.6.3. within tin their employethe studidentificthe latteas his/hsituation
This sedifferenenergy c
3.1 E
Showinlightninsecond consumuser alrdirectioenergy t
Currentalways other toinformaactuallycontrol action. Froom ar
Web porta
ork around ng in D3.1
Just to suthe Politecnr working/stees and the dents are acation. The er the user iher own pans.
ction focusnt users andconsumptio
Energy awa
ng the user ng and occu
about whaming e.g. 40 ready is awan, this tool than usual r
t temperaturleads to sav
ools. Occupation comby lead to en
strategies, For instancre on. Switc
Figure 5: C
al & mob
the web poto the initia
ummarize, tnico di Torintudying plaenergy man
allowed to employees
s required tage (sign in
ses on howd how it raon.
areness to
real-time dupancy statuat is goingkW this veare and precan be used
right now an
re values isving energypancy informined with nergy savinwhere the
ce, if the rooching the lig
Current ener
bile web
ortal has beal prototypethe web pono campusace. Three nager. For eaccess info
s can accessto sign in. Tn is require
the differeises energy
ols
data (cf. Fius) as well
g on right ry moment,pared to ch
d to check hnd how com
s always inty it is a way mation is altemperatur
ngs. This issystem comom is vacanghts can sav
gy consumpt
Page 10
b app
een well does in D3.2
ortal was crto be moregroups of
each group ormation abs all public
The energy med) with a
ent tools wy awareness
igure 5: Cul as trends now, these, this is the
hange her bhow she is dme this is ha
teresting usof triggerin
lso interestre, lightnings exactly wmbines infont and the l
ve energy.
tion, tempera
D5.
ocumented fand D3.3 toreated withe conscious users wherthere is a spbout publicrooms and
manager haset of too
within the ws or even le
urrent enercan make
e are real first step ofehaviour to
doing at the appening.
sers and eveng the user ing, especiag and curr
what has bermation frolighting leve
ature, lightnin
5 Integrated
from conceo the final r
the goal oabout the e
re identifiedpecial profilc rooms w
d also their as access to ls used to
web portal ceads to acti
gy consumthe user stvalues, thef making th
owards a momoment e.g
en if the infto use the sally for pubrent energyen tested in
om differentel signals th
ng and occup
d web-base
ept and requresults in Dof engagingenergy consd: the studele in the we
without any personal ofevery roomfind energ
can be usedtions that h
mption, temptop and thine room is he user awarore energy g. is she usi
formation isystem and blic rooms y consumptn the proje
nt sources ahat the ligh
pancy status
d system
uirement D3.4 and g people sumption ents, the
eb portal, type of
ffice, for m as well gy waste
d by the elp save
perature, nk for a actually
re. If the efficient ing more
itself not discover and this
tion can ect using nd takes
hts in the
Anothercompetiweb poFigure 6For instcooling
Other tybetween
Also, a providinfunctionFigure 6
r way to kition or simrtal by com6: Room cotance, if mysystem is u
ypes of comn devices an
simple byng her/him n can be fo6: Room co
keep the usmply allowinmparing indomparisons,y temperatuusing more p
mparison isnd also daily
y perhaps vwith usefu
ound in the mparisons a
ser interesteng the users door temper, top). This ure is muchpower to ke
s shown iny, monthly
Figure 6: Ro
very effectivul tips on w
web portaland tips bot
Page 11
ed and eng to comparerature betwalso indica
h lower thaneep the room
n Figure 7, and yearly i
oom compari
ve way to what she/hel where thettom).
D5.
gaged with e themselve
ween rooms ates the enen average a
m cooler.
where enerin combinat
isons and tips
incentive te can do. B
specific tip
5 Integrated
the systemes to others.
within the ergy consuma summer d
rgy consumtion with oc
s
the user to Both generaps are creat
d web-base
m is to add. This is donsame build
mption in thday, means
mption is coccupancy.
save energal and specited by the
d system
d a little ne in the ding (cf. he room.
that the
ompared
gy is by ific, this user (cf.
Figure 7: His
Page 12
storic energy
D5.
y consumption
5 Integrated
n
d web-based system
3.2 E
The firsincludescan be leakage
Energy man
st tools shos every meaused by th
. More abou
nager tool
own in Figuasurement the user to ut how thes
ls
ure 8 showsthat has beedetect incoe functions
Figure 8: D
Page 13
s data in at en reportedonsistenciesare used co
Detailed data v
D5.
very detaild from a spes or make ould be foun
visualization
5 Integrated
led level, becific sensocalculation
nd in D4.6.3
d web-base
both chart aor (selectabns to detect3.
d system
and table le). This t energy
The foll2.1.1.4; based in
lowing charthis tool w
n temperatu
rts might seill be descri
ure and the s
em familiaribe in more second char
Figure
Page 14
r since they details in D
rt is based o
9: Frequency
D5.
were previD4.6.3, sectin lighting.
y charts
5 Integrated
ously discuion 5.1.5. T
d web-base
ussed in sectThe first cha
d system
tion art is
The lastor energthe manmeasure
3.3 V
As an edetailedemployewith the
1. qs
2. Vap
1 Using a
t tool, showgy consumpnager can aements.
Voting and
extension ofd descriptioees as a toe system. Th
Scan QR coquality and lscanning1 thVote or Checa comment fpolls and rea
a QR reader us
wn in Figureption in a roanalyse thes
d check in
f the web pon see D4.6ol to influehis is how it
ode: For eaclighting in the room specick in: Once tfor others to ad the comm
sually downlo
e 10 allows toom as wellse values at
Figure 10
mobile w
ortal, a mob6.3. This apence their ot works:
ch room therhe room. Thific QR codethe user has see (this is oents.
aded as an app
Page 15
the energy ml as occupant different p
: Environmen
web app
bile web appp is meanown environ
re is one orhese polls cane placed somaccess to the
optional), che
p for smart ph
D5.
manager to ncy daily, mperiods of t
ntal charts
pp was creatt to be usenmental sit
r more pollsn only be ac
mewhere in the web app sheck in to the
hones
5 Integrated
compare temonthly andtime and fo
ted (cf. Figued mainly buations and
concerning ccessed by phe room. he can select
room or just
d web-base
emperature,d yearly. In or different
ure 11). Forby student d get more
the tempereople in the
a poll, vote at see the resu
d system
lighting this way types of
r a more but also familiar
ature, air room by
and leave ults of the
The votthe comsensor”humansmany pproblemcommen
ting results mfort level i, of course
s are more persons are m with the nts made by
Figu
are also prin the roomthe votes acomplex buvoting thacooling sy
y the user m
ure 11: Votin
resented to ms. Every vare not as rut the data at one specystem leadinmight also be
Page 16
ng & check in
the energy vote can bereliable as mcan still be
cific room ng to unnee helpful fo
D5.
n mobile web
manager an seen as a measuremene used in dis very hot
ecessarily hr the energy
5 Integrated
app
nd used as measureme
nts coming different wat, than it migh energy y manager.
d web-base
a tool to deent made a from senso
ays. For insmight actua consumpti
d system
etermine “human
ors since stance, if ally be a ion. The
Figure 12: Votin
Page 17
ng results for
D5.
r energy mana
5 Integrated
ager
d web-based system
D5.5 Integrated web-based system
Page 18
4 References
[D3.2] Updated Specification of Intelligent Context Energy Awareness Service Framework and User Comm. Portal, 2012
[D3.3] First Version of Intelligent Context Energy Awareness Framework and User Community Portal, 2012
[D2.3.2] Updated Conservation Strategies, 2012
[D5.1] Data Format Definition, 2012
[D3.4] Final Intelligent Context Energy Awareness Service Framework and User Community Portal, 2013
[D4.6.3] Final Prototype of the SEEMPubS platform, 2013