This document discusses energy system modeling that was done for the city of Évora, Portugal to develop integrated smart city planning. It provides an overview of the InSMART project, objectives, scope, methods and tools used, including the TIMES modeling framework. Key aspects of modeling the energy system for Évora are summarized, including representation of sectors like buildings, transport, industry and supply. Details are given on modeling the building sector through surveys and energy modeling software, and the transport sector through additional surveys. The document concludes with discussing using the TIMES model to generate sustainable energy pathways and next steps.
Planning a reliable power system with a high share of renewables in France by...IEA-ETSAP
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Auctions for Renewable Energy – Model based AnalysisLeonardo ENERGY
Auctions are increasingly being applied as a mechanism to allocate support to renewable energy sources (RES). AURES (Auctions for Renewable Energy Support) is a H2020 European research project focused on auction designs for renewable energy support. The project addresses the important and urgent issue of improving current support policies for electricity from renewable energy sources through competitive market measures. The general objective of the project is to promote an effective use and efficient implementation of auctions for renewable energy support in the European Union Member States, especially regarding their cost-efficiency.
In this new webinar series, the AURES team will share research results and provide guidance to policy makers on the best options to organize renewables support under the new rules of the Clean Energy Package.
Sustainable energy and climate mitigation pathways in the Republic of MauritiusIEA-ETSAP
nable strategies and low emission pathways in Small Island Developing States: a costoptimization approach for the integration of renewables in the Republic of Mauritius.
Ms. Anna Genave, Université de La Réunion
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The speakers present the overall trend in total energy supply and in final energy consumption, as well as details by sector, alongside macro-economic data. They will explain the main drivers of the variation in energy consumption since 2014 and determine the impact of energy savings.
Speakers:
Laura Sudries, Senior Energy Efficiency Analyst, Enerdata
Bruno Lapillonne, Scientific Director, Enerdata
The recordings of the presentation (webinar) can be viewed at:
https://youtu.be/8RuK5MroTxk
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Auctions for Renewable Energy – Model based AnalysisLeonardo ENERGY
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Sustainable energy and climate mitigation pathways in the Republic of MauritiusIEA-ETSAP
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Ms. Anna Genave, Université de La Réunion
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The speakers present the overall trend in total energy supply and in final energy consumption, as well as details by sector, alongside macro-economic data. They will explain the main drivers of the variation in energy consumption since 2014 and determine the impact of energy savings.
Speakers:
Laura Sudries, Senior Energy Efficiency Analyst, Enerdata
Bruno Lapillonne, Scientific Director, Enerdata
The recordings of the presentation (webinar) can be viewed at:
https://youtu.be/8RuK5MroTxk
Development of 2050’s national long-term energy plans for carbon neutrality t...IEA-ETSAP
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Dr. Gabriel David Oreggioni, Imperial College London
Review of the NYS DEC's Climate Smart Resiliency Planning (CRSP) tool results from the City of Kingston. The CRSP tool is used as a check list for determining gaps in climate preparedness at the beginning of a municipal planning process.
Presented at the 2013 APA + ASLA NY Upstate Chapter Annual Conference
Audience: planners, landscape architects, municipal officials, consultants, decision makers and general public.
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.
Oleksandr Galychyn is a Senior Researcher at SYKE, Finland. Oleksandr studies the integration of life cycle inventory(LCI) and economic input-output data for the identification of the economic sectors responsible for water depletion and degradation in Ukraine. He also works on the development of stock-and-flow models to predict the future e-scooter and e-bike fleets in Finland, their use, material, and mineral demand.
An analysis framework and a taxonomy of smart cities developments. This presentation includes also the application of this framework in and metrics for Greek municipalities.
This workshop will focus on how this new tool supports innovation in the energy transition and on analysing the innovative experimentation tools available and their application in Europe. A round table with regulatory authorities, companies, and research centres will provide leads on the relevance of Energy Regulatory Sandboxes to facilitate the market launch of innovations helpful to move towards a decarbonized economy. This Workshop runs as part of the European cooperation TR@NSNET project.
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.
Discover REMOURBAN sustainable urban regeneration model leveraging the convergence of energy, mobility and ICT to transform European cities into Smart Cities
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16–17th november 2023, Turin, Italy, etsap meeting, etsap winter workshop, semi-annual meeting, november 2023, Politecnico di Torino Lingotto, Torino
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16–17th november 2023, Turin, Italy, etsap meeting, etsap winter workshop, semi-annual meeting, november 2023, Politecnico di Torino Lingotto, Torino
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16–17th november 2023, Turin, Italy, etsap meeting, etsap winter workshop, semi-annual meeting, november 2023, Politecnico di Torino Lingotto, Torino
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16–17th november 2023, Turin, Italy, etsap meeting, etsap winter workshop, semi-annual meeting, november 2023, Politecnico di Torino Lingotto, Torino
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16–17th november 2023, Turin, Italy, etsap meeting, etsap winter workshop, semi-annual meeting, november 2023, Politecnico di Torino Lingotto, Torino
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VO: reduce the distance between modellers and DM,
VO: the work process
- Making modifications collaboratively,
- Running the model,
- Reports and collaborative analysis
VedaOnline
Mr Rocco De Miglio
16–17th november 2023, amit kanudia, etsap meeting, etsap winter workshop, italy, kanors-emr, mr rocco de miglio, mr. amit kanudia kanors-emr, november 2023, politecnico di torino, semi-annual meeting, torino, turin, vedaonline
Updates on Veda provided by Amit Kanudia from KanORS-EMRIEA-ETSAP
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TIMES and OSeMOSYSBrowse, Veda Assistant
VEDA2.0, VEDAONLINE, VEDA
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Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
【社内勉強会資料_Octo: An Open-Source Generalist Robot Policy】
Integrative Smart City Planning – Energy system modelling for the city of Evora
1. Integrative Smart City
Planning – Energy
system modelling for the
city of Évora
ETSAP Workshop Jun 2016
Luís Dias, Sofia Simões
2. Agenda
Integrative Smart City Planning – Energy system modelling for the city of Évora
InSmart project
• Scope
• Methods and tools
• City energy planning struture
TIMES_Évora
• Sectors
• Geographic representation
• Time slices (nothing new there)
• Zooming in: building sector (residential)
• Zooming in: transport sector
• Innovation – water & waste treatment
Using TIMES_Évora
Conclusion
Further steps
3. Cesena (Italy) Deka Trikala (Greece) Nottingham (U.K.)Évora (Portugal)
European funded project (FP7) [2013-2016]
working in partnership towards a sustainable
energy future.
4. Objective
• The InSMART concept brings together cities, scientific and industrial
organizations in order to establish and implement a comprehensive methodology
for enhancing sustainable planning addressing the current and future city energy
needs through an integrative and multidisciplinary planning approach.
• This approach will identify the optimum mix of short, medium and long term
measures for a sustainable energy future, addressing the efficiency of energy
flows across various city sectors with regards to economic, environmental and
social criteria and paving the way towards actual implementation of priority actions.
• Extensive technical expertise and specialized tools and models will be used to
create a platform for implementation of the project idea. Each city’s energy system
will be analysed, covering all relevant sectors and a comprehensive GIS energy
database will be developed. Apart from being a valuable planning tool the GIS
database will inform and be linked to the TIMES planning model.
• This model will be used to analyse the cost-optimal mix of measures required to
meet sustainable energy targets taking into account exogenous parameters (e.g.
environmental targets, city expansion).
5. Scope
Integrative Smart City Planning – Energy system modelling for the city of Évora
VISION:
Cities sustainable energy future are achievable by:
• bringing together cities, scientific and industrial organizations,
• considering the integration of the components of the city’s energy system,
• selecting cost-effective options from multiple data sources and integrated
tools,
• choosing the best social-accepted technologies and measures.
PURPOSE:
• Design comprehensive data-driven methods for enhancing the city’s
sustainable planning addressing the current and future city energy needs,
• Implement an integrative planning tool to identify the optimum mix of
short, medium and long term measures for a sustainable energy future for
the city,
• Address the efficiency of energy flows across all city sectors taking spatial
patterns and economic, environmental and social criteria
• Engage city agents to pave the implementation of priority actions.
7. City Energy Planning structure
Integrated City Energy Planning framework and major outcomes
Per typology
Évora model
8. TIMES_Évora: Sectors
Integrative Smart City Planning – Energy system modelling for the city of Évora
• Transport
• Buildings
• Public services
• Supply
• Industry
• Agriculture
Residential
Commercial
Municipality
Water system
Sewage system
Waste system
Public lighting
9. Structure of TIMES_Évora
Integrative Smart City Planning – Energy system modelling for the city of Évora
o Geographical representation
Four regions: 3 urban and 1 rural
10. Structure of TIMES_Évora
Integrative Smart City Planning – Energy system modelling for the city of Évora
o (Real) Time slices
Residential annual electricity consumption profile (urban vs
rural dwellings per building age)
Based on the quality of information that we had: Big data - 32 000 smart meter
information on residential electricity consumption at 15 minutes and also PV
powerplants electricity production profiles;
32 timeslices
• Seasons: Summer;
Winter and
interseasonal
• Week days and week
ends
• Day, night and peak
11. Zooming in on the building sector
389 door-to-door surveys: with 110 questions (June to September 2014)
• Building characterization (location, number of floors, area, construction structures,
type of insulation, windows and rooftops)
• Building occupancy characteristics (persons per household, level of income, age
and gender, level of education)
• Technologies owned (space heating and cooling systems and other electric
equipment)
Évora building typologies (based on WP1 and WP2)
12. Zooming in: building sector
Heating and cooling energy Services Demand Modelling (UoN) (DesignBuilder
and Enegyplus)
Building energy performance (kWh/m2/year) per typology and use (e.g. heating,
cooling), and energy efficiency measure (e.g. insulation measures, windows
change), per spatial unit
13. Zooming in: transport sector
460 door-to-door surveys: with 20 questions (June to September 2014)
• Mobility patterns from daily travel
• Number of passenger cars per capita
• Mode share and average trip length information
• Journey purpose splits
Évora transport and mobility analysis sectors (#21) (based on WP3)
14. Zooming in: Transport sector
Mobility demand (origin and destination sectors)
Transport total energy consumption by city
sector and origin (MJ)
Mobility and Energy Demand Modelling (Systra)
• Annual demand (people or vehicles) and distance travelled (pkm or vkm) per
vehicle type.
• Annual number of public transport trips per capita
• Demand movements between sectors, by vehicle type.
• Total energy demand by fuel type, vehicle type and sectors.
• Emissions (CO2, NOX, etc.) by fuel type, vehicle type and sector
15. New(?) – Getting closer to modelling
behaviour
Modelling choices of households considering their income
16. New(?) – water & waste treatment
City district Type of material
Quantity
(kg) (kg/capita)
Rural
Plastic and metal 46.7 4.2
Paper 84.8 7.5
Glass 86.3 7.7
Total 217.8 19.4
Bacelo and Senhora da
Saúde
Plastic and metal 122.7 6.7
Paper 193.4 10.6
Glass 130.9 7.2
Total 447.1 24.5
S. Mamede; Sé e S. Pedro
and Santo Antão
Plastic and metal 31.3 6.6
Paper 62.5 13.2
Glass 38.1 8.0
Total 131.9 27.8
Malagueira and Horta das
Figueiras
Plastic and metal 155.6 7.0
Paper 248.5 11.1
Glass 180.1 8.0
Total 584.3 26.1
Location of Évora waste
treatment facilities
Selected collection waste by city region in 2014
• Information on energy
consumption at waste collection
(per type of waste) and treatment
phases.
17. New(?) – water & waste treatment
Water system facilities Wastewater system facilities
18. Using the TIMES_Évora
Generate Sustainable Future (2030) Energy (realistic) pathways
Expand individual mobility soft-modes
Energy efficiency measures in 70% of
households (double glazing, insulation,
shading devices)
Reduce 30-50% of energy
consumption
Demo on Zero Energy
Building
Public lighting with 100% of LEDs
Expand the use of
electric vehicles (5-10%
of vehicles)
Restrict cars in cities’ historical centers
50% of households equipped
with solar energy (PV and
thermal)
Smart-biomass heating
systems (60% of fireplaces)
Reduce 30% waste generation
Improve energy
efficiency in waste
water treatment plants
19. Next steps
o Multi Criteria Decision Analysis
o City stakeholders validation
o ‘realistic’ action plans to support SEAP
Integrative Smart City Planning – Energy system modelling for the city of Évora
21. Conclusions
o Challenge on passing the ideia of “optimization scenarios” to
municipalities teams. More concern to test ideas of specific measures,
contrary to the support to define policy.
Integrative Smart City Planning – Energy system modelling for the city of Évora
22. Zooming in on the building sector
Typology 8 (Sub Typology 82_1)
General
o Location
o Period of construction
o Foot print area
o Average household area
o Frequency
Geometry
o Type of building
o Number of floors
o Number of dwellings
o Height
o Room in the roof
Construction
o Bearing Structure
o Exterior wall type
o Roof type
o Wall insulation
o Glass type
o Window framing
Occupation
o Number of
occupants
o Average income
o Occupation schedule
o Type of room heated
Equipment Ownership
o Refrigerators
o Coolers
o Washing machines (clothes, dishes)
o Fireplaces
o Solar thermal panels
o Air Conditioning
o Computers