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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


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


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


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.

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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.


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).


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

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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


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


Energy consumed for lighting [kW

h] when E > Etarget

Energy consumed for lighting [kWh] when E > Etarget ‐ MONTLY


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

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50.0

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100.0

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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

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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

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