Alaia Sola Catalonia Institute for Energy Research (IREC) DAY 2: - - PowerPoint PPT Presentation

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Alaia Sola Catalonia Institute for Energy Research (IREC) DAY 2: - - PowerPoint PPT Presentation

Oct 18, 2023 1.09k likes •1.38k views

Alaia Sola Catalonia Institute for Energy Research (IREC) DAY 2: SMART CITIES TABLE 4: IMPLEMENTATION OF THE SMART CITY CONCEPT INTERNATIONAL SUMMER SCHOOL SMART GRIDS AND SMART CITIES Barcelona, 6-8 June 2017 Energy Efficiency in

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Alaia Sola Catalonia Institute for Energy Research (IREC)

DAY 2: SMART CITIES TABLE 4: IMPLEMENTATION OF THE SMART CITY CONCEPT

INTERNATIONAL SUMMER SCHOOL “SMART GRIDS AND SMART CITIES” Barcelona, 6-8 June 2017

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2

  • Energy Efficiency: Systems, Buildings and

Communities

  • NZEB (Net Zero Energy Buildings and

Communities)

  • Integration of Renewables.
  • Smart Grids and Microgrids
  • Energy Storage
  • Green IT
  • Electric Mobility
  • Lighting
  • Economic analysis and regulation
  • Integrated development of Smart Cities

Solutions

Research Lines

  • Semi Virtual Energy integration Laboratory
  • Testing of heating and cooling solutions and

technologies

  • IREC Energy Smart Lab
  • Testing of smart grids technologies and solutions

including power electronics for renewable and EV integration

  • ICT platform and energy management systems

validation

  • Integrated platform for Smart Cities and

Communities Solution

  • Intelligent Lighting Laboratories
  • Light room, intelligent/daylight laboratory,

photonics and optoelectronics, photometry and calorimetry

Laboratories Energy Efficiency in systems, buildings and COmmunitieS Areas of expertise

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3 Energy Efficiency in systems, buildings and COmmunitieS Areas of expertise

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... aims to demonstrate, validate & roll out 12 smart solutions

to support the transition to a smarter and more sustainable Europe

(Valetta, Suceava, Porto, Cork and Graz) 1. Demonstrations

  • f Smart

Solutions in Lighthouse Cities 2. Independent Validation of Smart Solutions

  • 4. Replication

in “Follower Cities”

  • 5. Roll-out in

“Take-up Cities” 3. Development

  • f Smart

Business Solutions (Barcelona, Stockholm, Cologne)

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SLIDE 5

Distribution of tasks among Work Packages:

WP1 – Coordination WP2 – Low Energy Districts WP3 – Integrated Infrastructures WP4 – Sustainable Urban Mobility WP5 – Technical Evaluation WP6 – Economical Evaluation WP7 – Replication in follower cities WP8 – Dissemination Inception Implementation Evaluation

4 development phases:

Preparation

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…mix of industry, academic, cities and networks

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Growsmarter: the Barcelona case

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12 Smart Solutions – Low Energy Districts

  • 1. Efficient and smart climate shell refurbishment (S,C,B)
  • 2. Smart building logistics and alternative fuelled vehicles (S)
  • 3. Smart energy tenants through information (S,C,B)
  • 4. Smart local production of electricity and integration

with buildings and grid (S,C,B)

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transport 24,1% industry 17,2% tertiary 29,9% residential 27,9%

  • ther

0,8%

Font: PECQ 2011-2020

% representation of constructed Surface (residential) H3 H6 Newest: H8 13% 51% 4%

68%

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Best combinations for old typologies include:

façade insulation replacement of windows shading elements roof insulation first floor insulation

Cost-effective measures depend on climate and construction typology

Best combinations for recent typologies include:

active measures shading elements

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Canyelles Ter 31 Melon District CEM Claror Cartagena Escola Sert Hotel H10 Passeig Sta Coloma Lope de Vega 111 Ca l’Alier

Low Energy Districts in Barcelona

50% reduction on

building energy needs Total refurbishment: 47 000 m2

  • 34 000 m2 residential
  • 13 000 m2 tertiary
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H6 typology: 5 180 m2 - Canyelles

  • Residential building with 57 dwellings, 14 floors
  • Passive

measures: improvement

  • f

façades and roof insulation, low-U values windows (window frame and glazing), and shading elements.

  • Active measures: Change of boilers, efficient water taps.
  • Home Energy Management System installation

Low Energy Districts in Barcelona

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  • Management of the

refurbishment Project and Works

  • Management of the

Barcelona City funds

  • Management of financial

aspects

  • Proposal of GrowSmarter

Smart Solutions

  • Participation as ESCO
  • Public body (Institut

Municipal Paisatge Urbà): agreement and architectural support

  • Private investor

(1 residential building)

Low Energy Districts in Barcelona

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The Virtual Energy Advisor is a free online platform that:

  • Shows

electricity consumption and consumption profiles.

  • Gives

tips and advices about how to reduce the electricity consumption.

  • Provides

the

  • pportunity
  • f

becoming part

  • f

a virtual community to exchange

  • pinions,

advices and best practices.

  • Compares

current consumption with consumption

  • f

previous years.

  • Compares user consumption with
  • ther users with similar

characteristics to promote energy efficient behavior.

As a result of the campaign, about 400 citizens have received a free Smart meter installed at home and access to their detailed electricity consumption.

Smart Energy tenants: Agència de l’Energia de Bcn

Low Energy Districts in Barcelona

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Smart Energy Management System for self-sufficiency in electricity consumption

PV + storage in residential and tertiary buildings:

Energy Management System with weather & demand forecast and price signals for energy use

  • ptimization

and energy cost reduction.

Low Energy Districts in Barcelona

Load / Household PV Generator Wind Generator

EV V2M

[W] t [W] t [W] t

Microgrid management

€ t

Daily market prices

Measurements

SOC

Grid Operator Side

Weather forecast

EMS

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12 Smart Solutions – Integrated Infrastructures

  • 5. Smart lighting, lamp and traffic posts

as hubs for communication (S,C,B)

  • 6. Waste heat integration by new business models (S,B)
  • 7. Smart waste collecting, turning waste to electricity,

heat and biogas for vehicles (S)

  • 8. Big data protocol for saving energy and

improving the quality of life (S,C,B)

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Big Data and Sensors Platform

Integrated Infrastructure in Barcelona

Mapping of the data schema used in the platform with de Semantic Urban Model Big consolidated open data platform Integration of heterogeneous data Standardized APIs for managing normalized urban data

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12 Smart Solutions – Urban Mobility

  • 9. Sustainable delivery (S,B)

10.Smart traffic management (S,B) 11.Alternative fuel driven vehicles for decarbonising and better air quality (S,C,B) 12.Smart mobility solutions (S,B,C)

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 Reduction of large urban freight distribution vehicles entering the city center.  Last mile delivery

  • f

small packages using a Urban Consolidation Center with electric tricycles.  Tracking of movements of the tricycles and monitoring

  • f

environmental parameters.

Urban Mobility in Barcelona

Micro-distribution of freight & Charging infrastructure

Charging points to recharge electric tricycles Electric tricycles  Implementation and management of the charging points.  Low charging mode.  High-capacity infrastructure is not needed.

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Urban Mobility in Barcelona

E-mobility charging station

Implementation and management of a network of electric charging points for electric vehicles. Development of the e-mobility management system.

  • Implementation of 6 V2G charging points to maximize the use of gained

renewable energy (PV) and perform peak shaving

  • Implementation of 5 FAST charging points connected to the Bcn e-mobility

management system.

4.18 4.2 4.22 4.24 4.26 4.28 4.3 4.32 4.34 4.36 x 10

5

4.574 4.576 4.578 4.58 4.582 4.584 4.586 4.588 4.59 4.592 x 10

6

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Energy measures: methods, standards…

Evaluating Measures

  • How to define the BASELINE: bills,

measurements, models/references…

  • Individual

measure vs global building evaluation

  • Tenants:

user behaviour, rebound effects, etc.

  • Normalization: by dwelling/building,

district/city, kWh vs m2 or tenant

  • Data management

and scalability: availability of data, confidentiality, how to scale up at city level

1 10 50 100 250 500 1000 1000 2000 3000 4000 5000 Number of dwellings Annual Energy Consumption (kWh/yr) ELECTRICITY

Resource Advisor by Schneider Electric: Visualization of energy performances Stochastic models by IREC: scale up for district and city level

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  • >50% energy saving are feasible
  • Buildings
  • Business models to be improved or changed
  • Integration of buildings and mobility into energy networks
  • Big data or Energy Analytics is already opening new
  • pportunities
  • Pilot and demonstration projects need to be evaluated very

accurately: technical and economical evaluation

  • Policy coordination is mandatory

GrowSmarter: Learnings & Conclusions

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Thank You! Alaia Sola asola@irec.es www.Grow-Smarter.eu Twitter @EUGrowSmarter

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 646456. The sole responsibility for the content of this presentation lies with the GrowSmarter project and no way reflects the views of the European Union.