2.2 WP2 - Control System: Building Management Unit, Building Info Management and Control Logic Optimization

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Nov 21, 2013 (3 years and 8 months ago)

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Page
1


2.2

WP2
-

Control System:

Buildin
g Management Unit,

Building
Info

Management and Control Logic
Optimization


Work P
ackage number:

2

Duration in Reporting Period:

M1
-
M26


Work P
ackage
title:

Control System: Building Management Unit, Building Info
Management and Control Logic Optimization

Work P
ackage leader:

CRF


Participant:

POLITO

SINOVIA

KULeuven

UCBL

FhG
-
FIT

CNet



2.2.1

Work package objective


The WP2 overall planned objectives are
to specify and implement the underlying, global
control system that includes:



Specification and implementation of a middleware for energy e
fficiency
,

that provides an
interoperable entry

point (interfaces) for integr
a
ting dynamically off
-
the
-
shelf
solutions;



Energy control and conservation s
trategies, e.g. for heating, lightning or air
-
conditions;



Intelligence (self
-
management) sensor network;

In this way, the main objectives of this WP
is

the control o
f the system spe
cifications so, it
is

necessary

to
:



Define the s
ystem
c
oncept;



Specify the system devices for interoperability;



Define the control algorithm.


The two key requirements for the underlying control system are:



Required Interoperability of heterogeneous
component,



Dynamic integration and reconfiguration of middleware components.

In addition to the required interoperability, there must be mechanism allowing to reconf
igure
components and
their interconnections during design
-
time and run
-
time:



Change run
-
tim
e parameters



Replace one middleware component for a functionally equivalent one



Change during run
-
time the networking of devices (clustering or aggregation)





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2


2.2.2

Resource statement and deviation from planned effort

Participant:

POLITO

SINOVIA

KULeuven

UCBL

Planned person
-
months per
participant for 1st period:

19,9

13,43

12

9,23

Actual person
-
months per
participant for 1st period:

24,65

11

0,1

2,08

Deviation:

+ 4,75

-

2,43

-

11,9

-

7,15







Participant:

CRF

FhG
-
FIT

CNet


Planned person
-
months per
participant for 1st period:

7,62

3,84

3

Actual person
-
months per
participant for 1st period:

8

3,5

0,5

Deviation:

+ 0,38

-

0,34

-

2,5



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3


2.2.3

Progress towards objectives and details for each task


Task T2.1
: Specification of the Intelligent control
system

Task Leader:

CRF

Involved partners

CRF,
FhG
-
FIT,

POLITO,

UCBL,

CNet

Duration in reporting
period

M1
-
M18

Task status

On schedule


Task Objective

The specification of the platform is based on results of WP1 and experiences from Hydra
middleware
design. This task specify the features of the intelligent control system:



Energy subsystem assessment and analysis for interoperability



Communication infrastructure definition (software and hardware)



Definition of control system devices (sensors & actuator
s) and system architecture.



A summary of progress towards objectives

Specification of intelligent control system
:



Description of actual implementation of POLITO BMS (DESIGO) in selected test rooms



New HW architecture definition for lighting and heating



New SW architecture definition (LinkSmart middleware)



Preliminary definition of devices requirements compliant with HW/SW architecture
definition



Preliminary schemes of HW/SW architecture of intelligent control system


Specification of software integratio
n
:



Overlay sensor and actuator to control each room



Each object such as device, room, will be represented by a hydra proxy



Application communicates to devices throug hydra proxies



Risk and contingency plan

NONE



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4


Significant results

Deliverable

Deliverable name

Nature

Month

Status

D2.1.1

Initial Specification of the intelligent
control system

R

M6

Complete

Resubmitted

D2.1.2

Updated Specification of the
Intelligent Control System

R

M18

In Progress


Milestone

Milestone name

Month


MS21

Intelligent control system

18


D2.1.1
-

Initial Specification of the intelligent control system

This SEEMPUBS deliverable presents an introduction of work package 2 and task 2.1.

In the second part of the document the “as is” situation of existing
Building Automation
System (BMS) in the selected case study rooms is illustrated. This is fundamental to
understand how the new HW/SW architecture could be interfaced with the existing system,
using actual control strategies in some cases or overriding the
m if needed. It’s also presented
the new HW architecture for both lighting and heating/cooling control and monitoring.

In the third part of the document the architecture of SEEMPubS middleware is described
providing an overview of middleware general archit
ecture, components and concepts that will
be used in the project. This section take into account system interoperability issues and
presents different ways to achieve this goal, in particular the existing BMS integration is
presented and outlined.

Finally

a list of possible devices for monitoring and control (compliant with HW/SW
architecture specification), and a first scheme of both HW and SW architecture are presented.



Deviatio
n from Annex I

and impact on other task and resources

NONE



Reasons for
failing objectives

NONE


Corrective actions

NONE


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5


Task T2.2
: Implementation of the Intelligent control system

Task Leader:

FhG
-
FIT

Involved partners

CRF,
FhG
-
FIT,POLITO,UCBL

Duration in reporting
period

M3
-
M26

Task status

On schedule


Task Objective

The main
objective
s

is
:



To implement the intelligent control system i.e.
to be able to add existing (off
-
the
-
shelf)
solutions as soon as possible in order to use the Intelligent control system early as an
underlying fundament for upper architectural elemen
ts.



To create a database with building information, t
he data base will be the core of the
building information system. The selection of data and their visualization will be
essential to realize an efficient start management system and for next implementati
ons.
For this reason, in this task will be defined in detail:

o

3D tools for build modelling implementation parametric objects based

o

Model Update procedure definition and implementation

o

Link of building information system to BMI Building Maintenance



A sum
mary of progress towards objectives



Targeted rooms are located in Valentino Castle as well as Cittadella campus.



First prototype with different devices (TelosB, commercial and ST smart plugs)
demonstrating the integration of different technologies with Lin
kSmart middleware. This
integration provides interoperable system consisting of heterogeneous legacy and new
devices that we need as a foundation to develop a more intelligent control system that
will be developed in the next iteration.



It has been develo
ped a system to simulate the interaction to the Siemens Diego system
using an OPC server that could replicate the behavior of the of the actual system (to
prevent any power failure in the operational buildings)



Risk and contingency plan

Risk: Integration

of different technologies does not work out

Plan: Thanks to the iterative approach we can identify problems early in the progress


Page
6


Significant results

Deliverable

Deliverable name

Nature

Month

Status

D2.2
.1

Initial
implementation

P

M12

Complete

D2.2
.2

Updated
implementation

P

M24



Milestone

Milestone name

Month


MS22

Intelligent sensor network prototype

18


D2.2.1 Initial Implementation

This deliverable describes the implementation of the SEEMPubS

prototype after the first
iteration. The objective during the first iteration was analyze existing technology and propose
a software architecture based on LinkSmart, that allows integration of different sensors,
actuators, and subsystems. D2.2.1 adheres t
o the architecture described in D2.1.1 and explains
the current state within the process of its implementation. After the first iteration the
prototype includes integration of TelosB sensor motes, Plugwise smart plugs and the ST smart
plug. At the moment,
we have been able to simulate the interaction to the Siemens Diego
system using an OPC server that could replicate the

behavior of the actual system.



Deviation from Annex I
and impact on other task and resources

NONE



Reasons for failing objectives

NONE



Corrective

actions

NONE



Page
7


Task T2.3

Energy Control and Conservation Strategies

Task Leader:

POLITO

Involved partners

POLITO,SINOVIA,UCBL,CRF

Duration in reporting
period

M6
-
M18

Task status

On schedule


Task Objective

This task will deal with
control and conservation strategies in order to achieve a high degree
of energy
-
efficiency.

Hence, the following issues need to be designed, developed and deployed based on the results
of WP1:



Algorithm for control strategy definition (on the basis of WP1
results)



Algorithm implementation



Control system test on simulated building



A summary of progress towards objectives



Several analysis were conducted to define the most appropriate control and monitoring
strategies to obtain high levels of energy efficien
cy (literature survey, analysis of existing
control solutions and products, etc.)



Detailed analysis of the buildings and spaces characteristics was done to select the most
appropriate rooms to be used in the project as test spaces;



First hypothesis of
possible control and monitoring strategies were defined in terms of
control rules to be implemented in the ICT management system.



A process is underway in WP1 to evaluate, through software simulations, the
effectiveness of proposed control strategies in te
rms of energy savings. The simulation
process will also help to optimize the control rules to get the maximum savings possible.



Risk and contingency plan

NONE



Page
8


Significant results

Deliverable

Deliverable name

Nature

Month

Status

D2.
3
.1

Initial Control

and Conservation
Strategies

R

M12

Complete

D2.3
.2

Updated

Conservation Strategies

R

M18

In Progress


Milestone

Miles
tone name

Month


MS23

Intelligent sensor network

24


D 2.3.1. Initial Control and Conservation Strategies

This SEEMPubS

deliverable describes the initial considerations concerning the strategies to
be adopted, without considering significant structural interventions (building insulation,
plants upgrading, etc.), to reduce buildings energy consumption while maintaining or
improving users comfort conditions. In particular the energy consumptions related to HVAC
services, lighting, and other electrical appliances are considered as main areas where it is
possible, through an ICT intelligent management system, to achieve saving
s with respect to
present situation. This deliverable is organized in different section.

The first part presents a state of the art regarding traditional control strategies to achieve
buildings energy savings for HVAC and lighting. This part also includes
the ongoing
investigation of new approaches, in particular as far as lighting is concerned.

In the second
part the control and monitoring strategies that have been proposed up to now for the selected
case studies at the Politecnico are described and explai
ned, considering each case
characteristics.

In the third part the simulation procedure and some first results on the
effectiveness of the proposed control solutions are presented. The potential in saving energy
of the proposed solutions are assessed by mea
ns of dynamic, climate based, building
performance simulations.

This Deliverable outlines initial considerations about energy conservation by means of
HVAC, lighting or other appliances control strategies and new, more efficient, solutions could
be identif
ied going further in this and other related Tasks activities.



Deviation from Annex I and impact on other task and resources

NONE



Reasons for failing objectives

NONE



Corrective

actions


NONE

Page
9


Task T2.4

Intelligent sensor network

Task Leader:

KULeuven

(change
agreed

during KOM)

Involved partners

POLITO,KULeuven,UCBL,FhG
-
FIT

Duration in reporting
period

M1
-
M24

Task status

On schedule


Task Objective

The SEEMPubS

system will manage energy efficiency by forming clusters of sensors based
on power levels and proximity. A cluster leading sensor, which can communicate aggregate
data, is elected for each cluster, while other sensors are only activated, when updated data

is
needed.



A summary of progress towards objectives

POLITO has implemented a wireless sensor network for

monitoring the temperature and
humidity of selected rooms in Politecnico Campus; the sensors used are existing off
-
the
-
shelf
commercial sensors such

as the TelosB motes or the SmartPlugs being developed by
STMicroelectronics.

The off
-
the
-
shelf sensor suffer from some drawbacks:
on the one hand,
nodes powered with battery may have a limited autonomy, on the other hand, sensors wich

operate from the mains network and wich transmit data by ZigBee protocol may lead to an
overhead in energy consumption
.

I
n order to provide a wireless sensor node solution that is more flexible and deployable
throughout an entire room, different air inter
face candidates have been compared (based on
the EPUB metric to select the optimal radio technology for the targeted

SEEMPuBs
application domain).
The best energy per useful bit (EPUB) was achieved by a super
-
regenerative or a pulsed UWB
-
based system. Due
to its superior robustness against
interferers, multipath fading and multi
-
user operation, and its ability to do accurate ranging, as
well as due its asymmetrical nature requiring only little energy in the transmitter, impulse
UWB was finally selected as t
he best radio candidate

for building a sensor node transceiver
for the SEEMPuBs smart sensor network.



Risk and contingency plan

NONE


Page
10


Significant

results


Deliverable

Deliverable name

Nature

Month

Status

D2.4
.1

Initial Intelligent Sensor Network

R

M12

Complete

D2.4
.2

Updated Intelligent Sensor Network

R

M24



D 2.4.1 : Initial Intelligent Sensor Network

This SEEMPubS

deliverable describes the progress in year 1 of the project on the intelligent
sensor network that collects the sensor data (e.g. temperature, light level, air humidity) for the
SEEMPubS platform. For reasons of easy integration of new sensor motes into
the system
and for being able to easily deploy the SEEMPubS platform even in old buildings without
overload of cabling, a wireless sensor network is preferred. A second important aspect for
intelligent sensor networks is their energy efficiency. In wireles
s sensor networks most
sensors are usually kept dormant, when no communication is needed, in order to save energy.
The sensors wake up for a brief time window when sensor data needs to be updated or
transmitted. The SEEMPubS system could manage energy effi
ciency by forming clusters of
sensors based on power levels and proximity. A cluster leading sensor, which can
communicate aggregate data, would then be elected for each cluster, while other sensors are
only activated, when updated data need to be collecte
d and transmitted. Sensor node
autonomy (i.e. the duration the node can operate with the available energy source) will be an
important
aspect in any real application.



Deviation from Annex I and impact on other task and resources

Task leader is changed; new TL is KULeuven (change agreed during KOM)



Reasons for failing objectives

NONE



Corrective actions

NONE