Transcript KnoholEM. Knowledge-based energy management for public

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KnoholEM
Knowledge-based energy management for public buildings through
holistic information modeling and 3D visualization
INSTITUT FOR INFORMATION MANAGEMENT IN ENGINEERING (IMI)
KIT – Universität des Landes Baden-Württemberg und
nationales Forschungszentrum in der Helmholtz-Gemeinschaft
www.kit.edu
Outline
Main project data
Consortium experience
Demonstration objects presentation
Project concept overview and work packages
Expected impact and main research results
Dissemination strategy and achievements for the first 2 years
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KnoholEM - M.Sc. Preslava Krahtova
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Project Data (1-2)
Vision
Improve energy efficiency in public buildings trough progressive and
intelligent knowledge modeling approach
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Objectives
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Development of holistic energy characterization
methodology. Specific ontology based approach enhanced
with occupancy and sensitivity analysis.
Contribution to semantic models trough intelligent knowledge
base with reasoning capabilities implementation.
Energy monitoring, optimization and capability enhancement
trough data mining and energy simulation.
Interactive Energy interface
Wide EU application of the test experience: 5 buildings from 4
different EU countries
live repository of historic and real-time monitored data.
Knowledge transfer to EU industry and research.
Contribution to Standards.
KnoholEM - M.Sc. Preslava Krahtova
Life span: 36 months
01.02.2011 – 01.09.2014
Funded by: FP7, EU
Type: IP project
Call: FP7-2011-NMP-ENVENERGY-ICT-EaB
Budget
Total costs
EU contribution
4.468 Mio €
3.198 Mio €
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Project Data (2-2)
1.
Challenges
2.
3.
Proposed
solution
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Overcoming high variety and incompatibility of different certifications (IFC, BIM
standards) , dynamic and static factors (HVAC, BMS, occupant behavior, sensors,
complex interactions)
Integrate the new standardized Industry Foundation Classes (IFC) to the final solution
Find the best balance between semantic models development and automization.
Fine characterization of the building envelope and possible deviations before development
of a holistic, knowledge based approach that matches all dynamic and no-dynamic
building factors, the buildings geometry and objects, occupancy and behavior models,
sensitivity and specific constraints.
KnoholEM - M.Sc. Preslava Krahtova
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Consortium Expertise :
12 Partners from 4 EU countries
Knowledge and
behavior modeling
Research
Partners
SME
Service
providers and
end users
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KnoholEM - M.Sc. Preslava Krahtova
KIT
TCD
Energy
modeling
BRE
Smart metering
CETMA
CU
MATRIX
TERA
ISOTROL SmartHomes Bdigital HHS
WSZ
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Demonstration Buildings
P.I.C.A office building,
Seville, Spain
BluNET office building
Seville, Spain
Media-TC public building,
Barcelona, Spain
Forum Building combined
public and residential
building, Eindhoven,
Netherlands,
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KnoholEM - M.Sc. Preslava Krahtova
Haagse Hogeschool,
university, Haag,
Netherlands
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Project concept overview
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KnoholEM - M.Sc. Preslava Krahtova
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Specific Ontology Population concept
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KnoholEM - M.Sc. Preslava Krahtova
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WP overview
WP
Main tasks
WP1: Generic functional
Modeling and Generic
Building Ontology
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Initial building taxonomy and ontology (generic) creation
IFC analysis
WP2: Behavioral model
and Building Specific
Ontology
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Building behavioral model development
Development of building specific ontologies for all demo
objects
Data mining algorithms for knowledge extraction from energy
consumption data
BSO enhancement (population methods)
KIT/IMI
Energy optimization algorithms implementation (integration to
the BSO)
Energy controller (sensors communication, data transmission)
CETMA
WP3: Optimization
algorithm and Real-Time
Hardware
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WP4: Smart Building
Simulator and Building in
the Loop
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WP5: Demonstration
Objects Analysis and
Validation Approach
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WP7: Project Management
KnoholEM - M.Sc. Preslava Krahtova
KIT/IMI
TCD
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Behavior model simulation (software platform with energy
saving tools)
Visualisation „User in the Loop“
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Energy profiling ( holistic audit)
Optimization algorithms
System Integration
BRE
WP6: Knowledge Management and Dissemination
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Lead
Partner
SZ
BRE
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WP6 Knowledge Management and Dissemination
WP2
WP1
Taxonomy
Generic Ontology
CAD layout
recognition
WP4
Behaviour Model
Simulation
Visualisation
user in the
Loop
WP5
Energy Profiling
Building Specific
Ontology
Data Mining
algorithms
Algorithms for
energy optimisation
Energy Controller
WP3
Energy
Management
System Integration
Sensing
devices
framework
WP7 Project Management
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KnoholEM - M.Sc. Preslava Krahtova
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Project GANTT
2011
Start End 1 2 3
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1WP WP1 Generic Functional Modeling and Generic Ontology
1.1 General building taxonomy based on IFC (industry foundation classes). It should contain:
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7 1 1 1
1.2 Primary generic functional building model
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7 1 1 1
1.3 Initial building ontology
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8 1 1 1
N.
action
1.4 Extension of the general taxonomy (1.1) and the functional building model (1.2)
2012
2013
2014
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1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 # 1 1 1 1 1 1 1 1 1 1 2
KIT
1 1 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 KIT
1 1 1 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -1 0 0 0 0 0 0 0 0 0 0 0
KIT,
ISOTROL,
CU
0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 -1 0 0 0 0 0 0 0 0 0 0 0 KIT,
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35 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 -1 1 1 1 1 1 1 1 1 1 2 0 ISOTROL,C
1 20 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 0 0 0 0 # 0 0 0 0 0 0 0 0 0 0 0 KIT
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2.1 Requirments to public spaces
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1 1 1 1 1 1 1 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 TCD
2.2 Development of the building behavioural model
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1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 0 0 0 0 0 -1 0 0 0 0 0 0 0 0 0 0 0
2.3 Development of building specific ontology
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1.5 Extention of the building ontology (1.3) with rules for enery efficiant operations
PM
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1 1 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -1 0 0 0 0 0 0 0 0 0 0 0
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2WP Behavioural Model and Building Specific Ontology
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0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 0 0 0 0 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 KIT, TCD,
2.4 Data Mining Algorithms for knowledge extration from the energy consumption data (from
5 the16
demo)
ISOTROL
0 -0 real
0 time
0 1 consumption
1 1 1 1 1analysis
1 1 1 1 1 2 0 0 0 0 0 0 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 KIT,
2.5 Enhancement method for the specific ontology with the data mining analysis
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 ISOTROL,
3WP WP3 Optimisation Algorithm and Real Time Hardware
Algorithms for energy optimisation (RT controller) without affecting the lifestype of
the users
3.2 Validation of the algorithms
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3.1
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0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 CETMA
0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 -1 1 1 1 1 1 2 0 0 0 0 0 CETMA
3.3 Energy controller
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0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 2 0 0 0 0 0 -1 0 0 0 0 0 0 0 0 0 0 0
3.4 - methods to derive semi-automacitlly the building behavioural model from 1.1
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4WP WP4 Smart Building Simulator and Building in the Loop
4.1 Simulation platform
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4.2 Validation - combine the software platform with the energy saving tools
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4.3 Visualisation User in the Loop on the demonstration objects
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4.4 Integration with existing standards
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5WP WP5 Demonstration Objects Analysis
5.1 Holistic auditing
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5.2 Evaluation procedure
5.3 Profiling and behavioural model generation
5.4 Initial integration of the ontology with the building mng system and sensing devices
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1 1 1 1 1 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -1 0 0 0 0 0 0 0 0 0 0 0
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0 0 1 1 1 1 1 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 KIT , CU,
0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 0 0 0 0 0 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 BRE
20 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 2 0 0 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 all
1 36 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 # 1 1 1 1 1 1 1 1 1 1 2
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6.2 Results dissemination per partner
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6.3 IPR assessment, technology audit
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6.4 Exploitation scenarios
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6.5 Data Model and validation
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7WP WP7 Project Management
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7.2 Project website
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7.3 Project reports
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7.4 Cost Statement and taking care of payments
1
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7.5 Coordination of WPs
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7.6 Meetings
1
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KnoholEM - M.Sc. Preslava Krahtova
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21.5
1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 SEZ
1 1 1 1 1 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 all
1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 BRE
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 -1 1 1 1 1 1 1 1 1 1 1 2 BRE
36 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 -1 1 1 1 1 1 1 1 1 1 1 2 CU, KIT
1 36 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 # 1 1 1 1 1 1 1 1 1 1 2
7.1 Consortium Agreement and quality plan
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0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 -1 1 1 1 1 1 2 0 0 0 0 0 TCD
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -1 0 0 0 0 1 1 1 1 1 1 2 Matrix , Tera
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -1 0 0 0 0 1 1 1 1 2 0 0 TCD
34 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 -1 1 1 1 1 1 1 1 1 2 0 0 TCD
1 36 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 # 1 1 1 1 1 1 1 1 1 1 2
6.1 Project identity
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0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 -1 1 1 1 1 1 1 2 0 0 0 0 Matrix
0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 # 1 1 1 1 1 1 1 1 2 0 0
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6WP WP6 Knowledge MNG and Dissemination
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1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 # 1 1 1 1 1 1 1 2 0 0 0
14.5
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 -1 1 1 1 1 1 1 1 1 1 1 2 BRE
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 -1 1 1 1 1 1 1 1 1 1 1 2 KIT, BRE
1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 KIT, BRE
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 -1 1 1 1 1 1 1 1 1 1 1 2 BRE
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 -1 1 1 1 1 1 1 1 1 1 1 2 KIT, BRE
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 -1 1 1 1 1 1 1 1 1 1 1 2 BRE
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Expected Impact - Benefits
Building Operators
• Responsive energy efficiency management
• Open model reduces solution lock-in and promote sharing
Occupants
• Understand and have a voice in energy performance
• Empowered to engage in balancing comfort and efficiency
Facility Managers
Equipment Vendors
Energy Modellers
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KnoholEM - M.Sc. Preslava Krahtova
• Powerful tools to visualise and analyse usage and efficiency
• More adaptive to change and responsive to needs of occupants
• More responsive control systems
• Open contextual data for control rules
• Reduce cost of access to building info
• More demand for revised energy models
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Strategic Research Results
Final solution
Main expected tools
Identified Result
Intelligent assistance system
dedicated to public buildings.
Could be connected to each
BMS and support the user (
facility manager, occupants etc.)
to take appropriate decisions for
improving building energy
efficiency.
KnoholEM - M.Sc. Preslava Krahtova
Related
Partner
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extracting semi-automatically building geometry
information
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ontology population for building energy
management enhancement
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Interface with reasoning engine (future work)
Data mining
framework
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Set of different data mining algorithms to detect
energy wasting and anomalies and to improve
energy efficiency using the interface to the
energy simulation tool
SmartVIS tool
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Occupant behavior modeler interfacing with the
ontology knowledge base
TCD
RT Reasoning
Module
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SWRL Fuzzy Rule Engine interfacing with the
knowledge base
CETMA
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Generation of energy simulation dataset from
the energy model of each building
BRE
OntoCAD
Energy
optimization
benchmarking
method
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Description
KIT/IMI
KIT/IMI
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Dissemination summary for the first 2 years
Type of audience
Description
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Research
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Participation to more than 10 international
conferences ;
2 nominations for best paper;
15 research publications
New laboratory set up initiated
FP7 community
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Contribution to the Vocamp workshops;
Joint workshop with Adop4EE project
Targeted industry
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Participation to 2 industrial fairs on home
automation and smart living, Innovation Festival;
Individual meetings with business partners
interested from the current results organized
Wide Public
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-
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KnoholEM - M.Sc. Preslava Krahtova
Presentation of the project on strategy seminar for
development of smart cities energy efficiency
planning
Project leaflets and posters presentation
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Thank You
M.Sc. Preslava Krahtova
Research Associate
Karlsruhe Institute of Technology (KIT)
Institute for Information Management in Engineering (IMI)
Zirkel 2, Geb. 20.20, Raum 256
76131 Karlsruhe
Telefon: +49 (0)721 608-46622
Mobil: +49 (0)176 27735888
Fax: +49 (0) 721 608-43984
E-Mail: [email protected]
www.imi.kit.edu
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KnoholEM - M.Sc. Preslava Krahtova
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