1 Evolutionary Structural Optimisation. 2 KKT Conditions for Topology Optimisation.
Building Optimisation using Scenario Modeling and Linked Data
-
Upload
edward-curry -
Category
Technology
-
view
113 -
download
2
description
Transcript of Building Optimisation using Scenario Modeling and Linked Data
![Page 1: Building Optimisation using Scenario Modeling and Linked Data](https://reader038.fdocuments.us/reader038/viewer/2022103111/54c63a594a7959476b8b459a/html5/thumbnails/1.jpg)
Building Optimisation using Scenario Modeling and Linked Data
Edward Curry, James O’Donnell, Edward Corry
1st Workshop Linked Data in Architecture and Construction (LDAC2012)
Ghent28/29 March 2012
![Page 2: Building Optimisation using Scenario Modeling and Linked Data](https://reader038.fdocuments.us/reader038/viewer/2022103111/54c63a594a7959476b8b459a/html5/thumbnails/2.jpg)
Digital Enterprise Research Institute www.deri.ie
Enabling Networked Knowledge
Overview
Introduction IRUSE (Built Environment) DERI (Semantic Web/Linked Data) LBNL (Built Environment)
Cross-domain Data for Building Management Enhanced Decision Support with Scenario Modelling Challenges
Linked Building Data DERI Building Use Case
![Page 3: Building Optimisation using Scenario Modeling and Linked Data](https://reader038.fdocuments.us/reader038/viewer/2022103111/54c63a594a7959476b8b459a/html5/thumbnails/3.jpg)
3
Who are IRUSE?
Based at National University of Ireland, Galway
Research Group of Civil/Mechanical Engineers
5 post-docs & 7 PhDs
![Page 4: Building Optimisation using Scenario Modeling and Linked Data](https://reader038.fdocuments.us/reader038/viewer/2022103111/54c63a594a7959476b8b459a/html5/thumbnails/4.jpg)
4
IRUSE interested in Building Optimisation during Operational Phase
Energy Simulation
Building Information Models
Calibration of simulation models
HVAC systems integration and Optimisation
Information driven building operation
Stakeholders specific performance data
![Page 5: Building Optimisation using Scenario Modeling and Linked Data](https://reader038.fdocuments.us/reader038/viewer/2022103111/54c63a594a7959476b8b459a/html5/thumbnails/5.jpg)
Digital Enterprise Research Institute www.deri.ie
Enabling Networked Knowledge
About DERI
Founded June 2003 as a CSET (Centre for Science, Engineering and Technology). Link scientists and engineers / academia and industry Fundamental research Development of Irish-based technology companies Attract industry Education & outreach
DERI Institute CSET Commercialization, DAI EU, EI, direct industry, IRCSET
DERI strategic plan responds to priorities Local: University focus on Informatics, Physical &
Computational Sciences National: SMART Economy, Program for Government International: EU Digital Agenda
![Page 6: Building Optimisation using Scenario Modeling and Linked Data](https://reader038.fdocuments.us/reader038/viewer/2022103111/54c63a594a7959476b8b459a/html5/thumbnails/6.jpg)
Digital Enterprise Research Institute www.deri.ie
Enabling Networked Knowledge
About DERI
Number one in its core space Research Publications > 950 Participate in 17 standardisation groups (W3C, OASIS) Approx 140 members from 30 nations 57 PhD’s /Masters 42 completed PhDs/Masters
Core Industrial Partners: MNC’s: Cisco, Avaya, Bel-Labs, Ericsson… SME’s: Storm, Celtrak, OpenLink…… Research: FBK
Total Research Grants: >€60 million SFI, EU Framework, Enterprise Ireland, Industry
![Page 7: Building Optimisation using Scenario Modeling and Linked Data](https://reader038.fdocuments.us/reader038/viewer/2022103111/54c63a594a7959476b8b459a/html5/thumbnails/7.jpg)
Digital Enterprise Research Institute www.deri.ie
Enabling Networked Knowledge
The 2012 DERI House
eBusinessFinancial Services
Health CareLife Sciences
eLearningGreen &
Sustainable IT
eGovernment
Information Mining
and Retrieval
Natural Language Processing
Reasoning andQuerying
Cloud DataManagement
Knowledge Discovery
Social Software
Service Oriented
Architecture
Sensor Middleware
DERI AppliedResearch Commercialisation
DataVisualisation
and Interaction
CyberSecurity
CloudData Analytics
Linked Data
Security,Privacy& Trust
DERI is designed to provide an integrated solution
![Page 8: Building Optimisation using Scenario Modeling and Linked Data](https://reader038.fdocuments.us/reader038/viewer/2022103111/54c63a594a7959476b8b459a/html5/thumbnails/8.jpg)
Lawrence Berkeley National Laboratory
8
Founded in 1931~ $850 Million annual budget
Awarded 13 Nobel Prizes
4200 Employees including:1685 Scientists, Engineers and faculty475 Postdoctoral fellows560 Undergraduate and graduate student employees
![Page 9: Building Optimisation using Scenario Modeling and Linked Data](https://reader038.fdocuments.us/reader038/viewer/2022103111/54c63a594a7959476b8b459a/html5/thumbnails/9.jpg)
My position and research activities at LBNL
9
Building Technology and Urban Systems Department
Environmental Energy Technologies Division
Energy and Environmental Sciences
Develop software for whole building energy simulation
Create interoperable processes to support whole building energy simulation
Create whole building energy simulation models of buildings
Create stakeholder driven information display methods, based on automated data processing, for performance evaluation of buildings
![Page 10: Building Optimisation using Scenario Modeling and Linked Data](https://reader038.fdocuments.us/reader038/viewer/2022103111/54c63a594a7959476b8b459a/html5/thumbnails/10.jpg)
10
IRUSE, LBNL, and DERI have Complementary Research Interests
BMS FinancialFMWeatherUtilitiesBIM
Raw Data Silos
Aggregation Layer
Operational Data
Stakeholder Data
Analytic Layer
Resource Analysis
Performance Metrics
Stakeholder Analysis
Financial Management
Fault Detection
Holistic Performance View
Decision Support
RDF
Other Data
Main focus of interest at IRUSE/LBNL
Main focus of interest at DERI
![Page 11: Building Optimisation using Scenario Modeling and Linked Data](https://reader038.fdocuments.us/reader038/viewer/2022103111/54c63a594a7959476b8b459a/html5/thumbnails/11.jpg)
11
Organisations incur substantial costs as a result of data mismanagement
ConfusionNo InteroperabilityCost OverrunsHigher CostsInefficiencies
Building Manager
![Page 12: Building Optimisation using Scenario Modeling and Linked Data](https://reader038.fdocuments.us/reader038/viewer/2022103111/54c63a594a7959476b8b459a/html5/thumbnails/12.jpg)
Research Motivation - a concrete example
Time Monday Tuesday Wednesday Thursday Friday08:00-09:0009:00-10:00 237 237 200 23710:00-11:00 237 237 237 20011:00-12:00 237 180 180 145 23712:00-13:00 237 200 237 200 14913:00-14:00 14514:00-15:00 221 237 145 14015:00-16:00 221 120 160 14016:00-17:00 149 250 16017:00-18:00 200 160
CO2 levels
12
ASHRAE 62.1-2010
![Page 13: Building Optimisation using Scenario Modeling and Linked Data](https://reader038.fdocuments.us/reader038/viewer/2022103111/54c63a594a7959476b8b459a/html5/thumbnails/13.jpg)
13
These are the types of data that we wish to leverage
Weather DataSensor & Meter Data
Building Models
Utility Bills
Simulation Models Output
HROccupancy
SecurityFire
Other Data
BMS
![Page 14: Building Optimisation using Scenario Modeling and Linked Data](https://reader038.fdocuments.us/reader038/viewer/2022103111/54c63a594a7959476b8b459a/html5/thumbnails/14.jpg)
Scenario Modelling provides a holistic interpretation of building performance
14
![Page 15: Building Optimisation using Scenario Modeling and Linked Data](https://reader038.fdocuments.us/reader038/viewer/2022103111/54c63a594a7959476b8b459a/html5/thumbnails/15.jpg)
Define information required by stakeholder and related data
15
Scenario Description
C
B
A
Performance Metrics
Performance Objectives
BuildingObjects
Performance Aspects
Formulae Datum Sources
![Page 16: Building Optimisation using Scenario Modeling and Linked Data](https://reader038.fdocuments.us/reader038/viewer/2022103111/54c63a594a7959476b8b459a/html5/thumbnails/16.jpg)
Datum 1: Water Flow Rate (kg/s)
Scenario: Compare Comfort & Energy ConsumptionPerformance
MetricsPerformance
ObjectivesBuildingObjects
Performance Aspects
Formulae Datum Sources
Datum 2: Water Supply Temperature (°C)
Datum 3: Water Return Temperature (°C)
Measured
Datum 1: Water Flow Rate (kg/s)
Datum 2: Water Supply Temperature (°C)
Datum 3: Water Return Temperature (°C)
Chiller Energy Output
=(Datum 1*Constant*(Datum3-Datum2))
ChillerEnergy
ConsumptionOptimise Chiller
Operation
Simulated
Constant = Specific Heat Capacity of output fluid measured in J/kgK
Datum 1: Zone Temperature (°C)
Measured
Datum 1: Zone Temperature (°C)
Zone Temperature
Gymnasium Zone
Building Function
Maintain Zone Temperature
Simulated
= (Datum1)
A building manager would like to analyse comfort and energy consumption
16
![Page 17: Building Optimisation using Scenario Modeling and Linked Data](https://reader038.fdocuments.us/reader038/viewer/2022103111/54c63a594a7959476b8b459a/html5/thumbnails/17.jpg)
Digital Enterprise Research Institute www.deri.ie
Enabling Networked Knowledge
Cross-Domain Perspective
ERP
ENERGY
BMS
FINANCE
CARBON
![Page 18: Building Optimisation using Scenario Modeling and Linked Data](https://reader038.fdocuments.us/reader038/viewer/2022103111/54c63a594a7959476b8b459a/html5/thumbnails/18.jpg)
Digital Enterprise Research Institute www.deri.ie
Enabling Networked Knowledge
Key Challenges
Initially developed a Performance Framework Tool IFC based Encountered significant roadblocks with BIM Originally felt BIM was central pillar of performance
assessment Recognise an as-built BIM is one of many pillars
Technology and Data Interoperability Data scattered among different information systems Multiple incompatible technologies make it difficult to use Dynamic data, sensors, ERP, BMS, assets databases, …
18
![Page 19: Building Optimisation using Scenario Modeling and Linked Data](https://reader038.fdocuments.us/reader038/viewer/2022103111/54c63a594a7959476b8b459a/html5/thumbnails/19.jpg)
Digital Enterprise Research Institute www.deri.ie
Enabling Networked Knowledge
Linked Building Data
Linking building data builds context between systems Relevant information can linked together to build holistic
views of the building Broader context can be used in decision making
Maintains loose coupling between systems Allows domain systems to focus on their expertise Allows systems to develop independently
19
![Page 20: Building Optimisation using Scenario Modeling and Linked Data](https://reader038.fdocuments.us/reader038/viewer/2022103111/54c63a594a7959476b8b459a/html5/thumbnails/20.jpg)
IRUSE, LBNL, and DERI have Complementary Research Interests
BMS FinancialFMWeatherUtilitiesBIM
Raw Data Silos
Aggregation Layer
Operational Data
Stakeholder Data
Analytic Layer
Resource Analysis
Performance Metrics
Stakeholder Analysis
Financial Management
Fault Detection
Holistic Performance View
Decision Support
RDF
20
Other Data
Main focus of interest at IRUSE/LBNL
Main focus of interest at DERI
![Page 21: Building Optimisation using Scenario Modeling and Linked Data](https://reader038.fdocuments.us/reader038/viewer/2022103111/54c63a594a7959476b8b459a/html5/thumbnails/21.jpg)
Digital Enterprise Research Institute www.deri.ie
Enabling Networked Knowledge
Case Study: DERI Building
DERI Building No BMS or BEMS 160 person Office
space Café Data centre 3 Kitchens 80 person Conference
room 4 Meeting rooms Computing museum Sensor Lab
21
![Page 22: Building Optimisation using Scenario Modeling and Linked Data](https://reader038.fdocuments.us/reader038/viewer/2022103111/54c63a594a7959476b8b459a/html5/thumbnails/22.jpg)
Digital Enterprise Research Institute www.deri.ie
Enabling Networked Knowledge
DERI Dataspace
Ap
plic
ati
on
s
Energy Analysis Model
Complex Events
Situation Awareness Apps
Energy and Sustainability Dashboards
Decision Support Systems
Lin
ked
Data
S
up
port
S
erv
ices
Entity Management
Service
Data Catalog
Complex Event Processing
Engine
Provenance
Search & Query
Sou
rces
Faci
litie
s
Build
ing
IS
ERP
Fina
nce
Asse
ts
Sens
ors
HR
Trav
el
Com
mut
e
IT
Offi
ce D
ata
Cent
er
Adapter Adapter Adapter Adapter Adapter
![Page 23: Building Optimisation using Scenario Modeling and Linked Data](https://reader038.fdocuments.us/reader038/viewer/2022103111/54c63a594a7959476b8b459a/html5/thumbnails/23.jpg)
Digital Enterprise Research Institute www.deri.ie
Enabling Networked Knowledge
Building Energy
23 of 26
1. Data from Enterprise Linked Data Cloud
2. Sensor Data3. Building
Energy Situation Awareness
![Page 24: Building Optimisation using Scenario Modeling and Linked Data](https://reader038.fdocuments.us/reader038/viewer/2022103111/54c63a594a7959476b8b459a/html5/thumbnails/24.jpg)
Digital Enterprise Research Institute www.deri.ie
Enabling Networked Knowledge
DERI Energy Observatory
24
Enterprise Energy Observatory
Linked dataspace for Energy Intelligence(Linked Data, Semantic Web, Semantic Sensor
Networks)
Organisation Business Process Personal
![Page 25: Building Optimisation using Scenario Modeling and Linked Data](https://reader038.fdocuments.us/reader038/viewer/2022103111/54c63a594a7959476b8b459a/html5/thumbnails/25.jpg)
Digital Enterprise Research Institute www.deri.ie
Enabling Networked Knowledge
Selected References
Curry, E., et al . (2011). An Entity-Centric Approach To Green Information Systems. 19th European Conference on Information Systems (ECIS 2011).
Hasan, S. et al. (2011). Toward Situation Awareness for the Semantic Sensor Web: Complex Event Processing with Dynamic Linked Data Enrichment. 4th International Workshop on Semantic Sensor Networks
Curry, E., & Donnellan, B. (2012). Green and Sustainable Informatics. In, Harnessing Green IT: Principles and Practices (in press). John Wiley & Sons
Curry, E. et al, Using Multi-Domain Data to Optimize Building Operational Performance: A Linked Data Approach to Interoperability. Advanced Engineering Informatics. (Under Review)
White, M. et al. An Energy Efficiency Metric to Report the Cost of Data Centre Services to Consumers in Real-Time. DCEE 2012, (Under Review)
Curry, E. et al. Towards an Open Platform for Holistic Real-time Enterprise Energy Intelligence: A Linked Data Approach, e-Energy 2012, (Under Review)
Curry. E. et al. Intel and IT Sustainability, MISQE, (Under Review)