David Weatherall, Head of Policy at the Energy Saving Trust, UK.ARC research group
Keynote, Session 3
“Using data to build the market for low carbon renovation in buildings: the evolving data-driven services of energy agencies in providing publicly-funded advice on energetic renovation of buildings”
David Weatherall, Head of Policy at the Energy Saving Trust, UK.ARC research group
Keynote, Session 3
“Using data to build the market for low carbon renovation in buildings: the evolving data-driven services of energy agencies in providing publicly-funded advice on energetic renovation of buildings”
Boris Sučić, Jožef Stefan Institute, Ljubljana, Slovenia.ARC research group
Presentation 1 Session 1
“How to close the gap between calculated and actual energy consumption of building – re-commissioning instead of certification?”
SEMANCO Workshop: Analysing and Visualising energy related data in our buildings, towns, and cities.
http://semanco-visualization-workshop.blogspot.com.es/
La Salle Campus Barcelona, Spain, 11-12 April 2013.
Modelling Circular Economy in TIMES
Dr. Sofia G. Simoes LNEG - Laboratory for Energy and Geology, P. Fortes, CENSE | NOVA School of
Science and Technology
US Department of Energy's Uniform Methods ProjectLeonardo ENERGY
This webinar will provide an overview of the US Department of Energy’s Uniform Methods Project that develops protocols for determining energy savings from energy efficiency measures and programs. The webinar will discuss its motivations, the development process, measures, and how they are used.
Nis Bertelsen, PhD Fellow, Aalborg University
Workshop: Integrating low-temperature renewable energy sources in District Energy Systems: Focus on Belarus
IRENA - The International Renewable Energy Agency, February 3rd, 2021
Presentation by Leandro Madrazo, ARC Engineering and Architecture La Salle, at the CARE4CLIMATE conference held in Ljubljana, Slovenia, on 8 June 2022. Research work in the field of energy efficiency in buildings and cities using digital technologies, carried out by the ARC research group from 2008 to the present.
You can see a recording of the presentation in this link
https://www.youtube.com/watch?v=c36Z_blspiU
Boris Sučić, Jožef Stefan Institute, Ljubljana, Slovenia.ARC research group
Presentation 1 Session 1
“How to close the gap between calculated and actual energy consumption of building – re-commissioning instead of certification?”
SEMANCO Workshop: Analysing and Visualising energy related data in our buildings, towns, and cities.
http://semanco-visualization-workshop.blogspot.com.es/
La Salle Campus Barcelona, Spain, 11-12 April 2013.
Modelling Circular Economy in TIMES
Dr. Sofia G. Simoes LNEG - Laboratory for Energy and Geology, P. Fortes, CENSE | NOVA School of
Science and Technology
US Department of Energy's Uniform Methods ProjectLeonardo ENERGY
This webinar will provide an overview of the US Department of Energy’s Uniform Methods Project that develops protocols for determining energy savings from energy efficiency measures and programs. The webinar will discuss its motivations, the development process, measures, and how they are used.
Nis Bertelsen, PhD Fellow, Aalborg University
Workshop: Integrating low-temperature renewable energy sources in District Energy Systems: Focus on Belarus
IRENA - The International Renewable Energy Agency, February 3rd, 2021
Presentation by Leandro Madrazo, ARC Engineering and Architecture La Salle, at the CARE4CLIMATE conference held in Ljubljana, Slovenia, on 8 June 2022. Research work in the field of energy efficiency in buildings and cities using digital technologies, carried out by the ARC research group from 2008 to the present.
You can see a recording of the presentation in this link
https://www.youtube.com/watch?v=c36Z_blspiU
Standard geodata models for Energy Performance of Buildings: experiences from...Piergiorgio Cipriano
Presentation at the workshop "Benchmarking Energy Sustainability in Cities" organised by the Joint Research Centre of the European Commission (Torino, 25/11/2014):
http://iet.jrc.ec.europa.eu/energyefficiency/workshop/benchmarking-energy-sustainability-cities
SEMANCO - Integrating multiple data sources, domains and tools in urban ener...Álvaro Sicilia
Semantic-based interoperability based on ontologies provide an alternative to centralized stand-ard data models. They help to integrate heterogeneous data produced by loose coupled information systems and to interlink these data with different tools in ad hoc situations. In the SEMANCO project (www.semanco-project.eu) we have used semantic technologies to create energy models of urban areas encompassing a variety of data sources and do-mains (building, geospatial, energy, climate, socioeconomic). The semantically modelled data has been made accessible to a set of simulation and analysis tools. The interoperability among the data sources and between these and the tools that interact with them is assured by a Semantic Energy Information Framework (SEIF) developed in the project. The access to the data and tools takes place in the SEMANCO integrated platform. In this paper we describe the work carried out to integrate an existing simulation software –URSOS– with the semantic data model. The functionalities of the tool and the integrated platform have been demonstrated in an application case carried out in the city of Manresa, in Spain
Energy-related data integration using semantic data models for energy efficie...Álvaro Sicilia
Energy-related data integration using semantic data models for energy efficient retrofitting projects. The integration is carried out using Semantic Web technologies by applying ontologies and data transformation techniques such as SPARQL constructs.
Presentation of the research work of the group ARC Engineering and Architecture La Salle about energy information systems for buildings and cities based on semantic technologies. The presentation was given at the Universidad de Deusto, Bilbao, on 27 April, 2016, as part of the activities of the Opencitydata thematic network.
Building a semantic-based decision support system to optimize the energy use ...Gonçal Costa Jutglar
The reduction of carbon emissions in cities is a systemic problem which involves multiple scales and domains and the collaboration of experts from various fields. The smart cities approach can contribute to improve the energy efficiency of urban areas provided that there is reliable data –from the different domains concerned with carbon emission reduction– to assess their energy performance and to make decisions to improve it. In the SEMANCO project, we applied Semantic Web technologies to solve the interoperability among data, systems, tools, and users in applications cases dealing with carbon emission reduction in urban areas. In the OPTIMUS project, the tools and methods developed in SEMANCO are being further enhanced and applied to the development of a decision support system (DSS) to help local administrations to optimize the energy use of public buildings.
Smart City Energy Planning Integrating Data and Tools .docxpbilly1
Smart City Energy Planning: Integrating Data and Tools
João Pedro Gouveia
Center for Environmental and
Sustainability Research, Department
of Science and Environmental
Engineering, Faculty of Science and
Technology, Universidade NOVA de
Lisboa
2829-516 Caparica, Portugal
Tel.: +351 21 294 83 74
[email protected]nl.pt
Júlia Seixas
Center for Environmental and
Sustainability Research, Department
of Science and Environmental
Engineering, Faculty of Science and
Technology, Universidade NOVA de
Lisboa
2829-516 Caparica, Portugal
Tel.: +351 21 294 83 74
[email protected]
George Giannakidis
Energy Systems Analysis Lab.
Center for Renewable Energy
Sources and Saving
19th km Marathonos Ave.
19009 Pikermi, Attiki, Greece
Tel: +302106603324
[email protected]
ABSTRACT
This paper presents an innovative analytical framework to
address incomplete interpretations and dispersed data of the
energy system in cities, which usually generate multiple
inefficiencies. Integrative city planning takes the city energy
system from the supply to the demand while considering its
spatial representativeness, and drives optimal cost-efficient
assessment towards future sustainable energy targets. This
holistic approach delivers more adequate policies and measures
towards higher energy use efficiency.
The proposed analytical framework has been developed within
the INSMART EU funded project and focuses on data gathering
procedures and data processing tools and models, covering a
wide range of city’s energy consumers, as residential buildings,
transport and utilities. The results, mapped into a GIS, can be
further exploited either for awareness increase of citizens and
for decision support of city energy planners.
Keywords
Integrative Energy Planning; GIS; Buildings; Transports and
Mobility; Smart Meters
1. INTRODUCTION
Cities are vital for engaging with environmental issues since its
activities affect the environment locally, regionally and globally
in both negative and positive ways [5]. Climate change and the
reduction of energy consumption are challenging topics for
cities and their territorial organization. A number of initiatives
(e.g. [1, 2]) have been set up to engage cities in efforts towards a
low carbon future and an improved quality of life through
sustainable economic development.
Smart cities appeal for a coordinated energy, water,
transportation, public health and safety services towards an
efficient management of the critical infrastructure to assure end-
use services for all citizens. There is a critical need for
integrated comprehensive city planning [12], focused on ex-ante
cost-benefit assessment and using energy systems models
towards urban sustainable energy use.
This allows moving from a reactive urban management to a
proactive approach based on knowledge and supported by the
increasing availability of the IoT (Internet of Things) and
information and communicati.
Sustainable Places 2015 - The OPTIMUS projectÁlvaro Sicilia
"Building a semantic-based decision support system to optimize the energy use in public buildings"
Álvaro Sicilia, Leandro Madrazo, Gonçal Costa
ARC Engineering and Architecture La Salle – Ramon Llull University, Spain
{asicilia, madrazo, gcosta}@salleurl.edu
Abstract. The reduction of carbon emissions in cities is a systemic problem which involves multiple scales and domains and the collaboration of experts from various fields. The smart cities approach can contribute to improve the energy efficiency of urban areas provided that there is reliable data –from the different domains concerned with carbon emission reduction– to assess their energy performance and to make decisions to improve it. In the SEMANCO project, we applied Semantic Web technologies to solve the interoperability among data, systems, tools, and users in applications cases dealing with carbon emission reduction in urban areas. In the OPTIMUS project, the tools and methods developed in SEMANCO are being further enhanced and applied to the development of a decision support system (DSS) to help local administrations to optimize the energy use of public buildings.
Urban Scale Energy Simulation: Modeling Current and Future Building Demands -...ClimateXMIT
These slides were part of a presentation by architect and sustainability researcher, Carlos Cerezo Davila, at the Together in Climate Action: Northeastern Noth American Policy Summit.
You can see more presentations and listen to interviews with the presenters at climatex.mit.edu
IRIS Webinar: How can software support smart cities and energy projects? IRIS Smart Cities
IRIS experts looked at 15+ software tools to help accelerate replication and uptake of smart city and energy initiatives. Discover their findings and practical applications in Alexandroupolis, Greece (electricity, heating & cooling) and Nice, France for Battery sizing.
Held in conjunction with fellow smart city project POCITYF (www.pocityf.eu) 7 December 2019
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INL has a vision to provide clean, secure connected transportation, addressing critical zero-emission transportation system challenges (e.g. grid capabilities and charging strategies). The 10-20 year strategic objective is to demonstrate Autonomous, Connected, Electrified and Shared mobility transportation solutions. A short term goal is to provide a bus electrification management system digital experience, engaging everyone from passengers and drivers to fleet planners, operators and manufacturers.
IES' Dr. Naghman Khan presentation on big data in building services from our IES Faculty event, which took place in London on 27th April, 2016. The seminar focused on the application and status of Intelligent Big Data in the fields of building services, architecture and construction.
Discussion about the interrelationships between architecture and environmental pyschology. Presentation of the PROHABIT research project at the 2nd OIKONET postgraduate seminar, ISCTE-IUL Lisbon, February 15, 2018
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Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
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Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
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UI automation Sample
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Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
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Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
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And...
Speakers:
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Charlie Greenberg, Host
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Gonçal Costa, ARC Engineering and Architecture La Salle, Barcelona, Spain.
1. OptEEMAL: Enhancing BIM models with
Semantic Web technologies to plan
building retrofitting at district scale
Gonçal Costa
ARC Engineering and Architecture La Salle
Barcelona, SPAIN
2. Project Overview
Project founded under the work programme:
HORIZON 2020-WORK PROGRAMME 2014-2015
Leadership in enabling and industrial technologies
H2020-EeB-2014-2015 / H2020-EeB-2015
Topic: Innovative design tools for refurbishment at building and district level
(EeB-05-2015)
Participants: 13 Partners
4 RTO, 2 Universities, 2 IND, 3 SME and 2 Cities
Contact: contact@opteemal.eu
Optimised Energy Efficient Design
Platform for Refurbishment at
District Level
3. Research topic
• How to provide optimized building-district retrofitting designs
through a consistent integration of semantic representation of
the data from multiples sources: IFC models, CityGML models,
and contextual data (project, weather, occupancy, etc.).
Application of the research: the OptEEmAL platform
• Optimised Energy Efficient Design Platform for Refurbishment
at District Level
Three main components of the platform:
• District Data Model (DDM)
• Energy Conservation Measures Catalogue (ECMs)
• Automated generation of input data for simulation tools.
Project Overview: Context
5. Project Overview: What is a district?
1. Target buildings that will be refurbished
2. Surrounding buildings that interact with target buildings (shadows)
6. Project Overview: What is a district?
1. Target buildings that will be refurbished
2. Surrounding buildings that interact with target buildings (shadows)
3. District active systems connected to the buildings (district heating)
7. Project Overview: What is a district?
• Weather data
• Energy prices
• Socio-economic data
1. Target buildings that will be refurbished
2. Surrounding buildings that interact with target buildings (shadows)
3. District active systems connected to the buildings (district heating)
4. Contextual data (weather, energy prices…)
8. Data integration perspective
Input Data District
Integration
Input Data
BIM models
(IFC standard)
GIS models
(CityGML standard)
Contextual Data
(multiple sources)
1
2
3
• Weather data
• Energy prices
• Users’ objectives
• Socio-economic data
Measures:
• Passive
• Active
• Renewables
• Control
Indicators:
• Energy
• Comfort
• Environmental
• Economic
• Social…
9. Data integration perspective
BIM models
(IFC standard)
GIS models
(CityGML standard)
Contextual Data
(multiple sources)
1
2
3
Input Data District Model Simulation
• Weather data
• Energy prices
• Users’ objectives
• Socio-economic data
Energy
Economic
Semantic
Data Models
Urban
Social
Simulation
tools
HVAC tool
ECO tool
10. Data integration perspective
Energy
Economic
Semantic
Data Models
Urban
Social
CityGML
Shadows
Validation
and Checking
Contextual data
Simulation
tools
HVAC tool
ECO tool
IFCIFCIFC
Validation
and Checking
Building models
Input Data District Model Simulation
12. Data integration perspective
Simulation
tools
ENERGY DPI’s
COMFORT DPI’s
ENVIRONMENTAL DPI’s
ECONOMIC DPI’s
SOCIAL DPI’s
URBAN DPI’s
GLOBAL DPI’s
District Performance Indicators
Calculation sequence
1
Energy demand
Simulation District Retrofitting
13. Data integration perspective
Simulation
tools
ENERGY DPI’s
COMFORT DPI’s
ENVIRONMENTAL DPI’s
ECONOMIC DPI’s
SOCIAL DPI’s
URBAN DPI’s
GLOBAL DPI’s
District Performance Indicators
Calculation sequence
HVAC tool
1
2 Energy consumption
Local thermal confort
Simulation District Retrofitting
14. Data integration perspective
Simulation
tools
ENERGY DPI’s
COMFORT DPI’s
ENVIRONMENTAL DPI’s
ECONOMIC DPI’s
SOCIAL DPI’s
URBAN DPI’s
GLOBAL DPI’s
District Performance Indicators
Calculation sequence
HVAC tool
1
3
2
Global Warming Potential
Simulation District Retrofitting
15. Data integration perspective
Simulation
tools
ENERGY DPI’s
COMFORT DPI’s
ENVIRONMENTAL DPI’s
ECONOMIC DPI’s
SOCIAL DPI’s
URBAN DPI’s
GLOBAL DPI’s
District Performance Indicators
Calculation sequence
HVAC tool
ECO tool
1
3
4
2
Operational energy cost
Simulation District Retrofitting
16. Data integration perspective
ENERGY DPI’s
COMFORT DPI’s
ENVIRONMENTAL DPI’s
ECONOMIC DPI’s
SOCIAL DPI’s
URBAN DPI’s
GLOBAL DPI’s
District Performance
Indicators
Current status
of the district
Simulation
tools
HVAC tool
ECO tool
Simulation District Retrofitting
19. Data integration perspective
Optimization DPIs
Simulation
Energy
Economic
Urban
Social
BIM models
(IFC standard)
GIS models
(CityGML standard)
Contextual Data
(multiple sources)
1
2
3
• Weather data
• Energy prices
• Users’ objectives
• Socio-economic data
HVAC tool
ECO tool
Summary
20. References
Beetz, J., Van Leeuwen, J., & De Vries, B. 2009. IfcOWL: A case of
transforming EXPRESS schemas into ontologies. Artificial Intelligence for
Engineering Design, Analysis and Manufacturing, 23(01), 89-101.
Bonduel, M., Oraskari, J., Pauwels, P., Vergauwen, M., & Klein, R. (2018). The
IFC to Linked Building Data Converter-Current Status. In 6th Linked Data in
Architecture and Construction Workshop (Vol. 2159, pp. 34-43).
BuildingSMART. (2015). IFC4 Release Summary. http://www.buildingsmart-
tech.org/specifications/ifcreleases/ifc4-release
Costa, G., Sicilia, A., Lilis, G. N., Rovas, D. V., & Izkara, J. (2016). A
comprehensive ontologies-based framework to support retrofitting design of
energy-efficient districts. Ework and Ebusiness in Architecture, Engineering
and Construction; Christodoulou, S., Scherer, R., Eds, 673-681.
Costa, G., Sicilia, Á. (2017). Methodology for data integration using SPARQL
Constructs in the AEC industry. In Proceedings of the 5th Linked Data in
Architecture and Construction Workshop (LDAC2017), Dijon, France, 13–15.
21. References
O'Donnell, J., See, R., Rose, C., Maile, T., Bazjanac, V., & Haves, P. (2011).
SimModel: A domain data model for whole building energy simulation.
Proceedings of Building Simulation 2011: 12th Conference of International
Building Performance Simulation Association, Sydney.
Pauwels, P., Terkaj, W. (2016). EXPRESS to OWL for construction industry:
Towards a recommendable and usable ifcOWL ontology. Automation in
Construction 63, 100–133. https://doi.org/10.1016/j.autcon.2015.12.003.
Sicilia, Á., & Costa, G. (2017). Energy-Related Data Integration Using
Semantic Data Models for Energy Efficient Retrofitting Projects. In
Multidisciplinary Digital Publishing Institute Proceedings (Vol. 1, No. 7, p.
1099).
22. Acknowledgements
OptEEmAL (“Optimised Energy Efficient Design Platform for
Refurbishment at District Level”) has been carried out with
the support of the European Union Horizon 2020 Framework
Programme (H2020/2014-2020) under grant agreement
n° 680676.
26. Building data extraction
Lilis, G. N., Giannakis, G., Katsigarakis, K., and Rovas, D., District-aware Building Energy
Performance simulation model generation from GIS and BIM data, 4th IBPSA-England
Conference on Building Simulation and Optimization, Cambridge, UK, 2018, pp. 177-184.
2nd Level Space
Boundaries
Slab partitioning
IFC model
