2019 - 2021
finished

PEDRERA

Project: Positive Energy Districts renovation model
Funding: Tecniospring (ACCIÓ)
Project ID: TECSPR18-1-0044
IREC Role: Coordinator
Main IREC Group: Thermal Energy and Building Performance, Paolo Civiero

Project objectives and goals

PEDRERA project aims to provide an innovative energy renovation model able to accelerate the urban transition towards Positive Energy Districts (PEDs) and to validate economic feasibility of the business models, guaranteeing interoperability and replicability at EU scale.

The key goal of the model is to boost energy transition and accelerate the transition to sustainable, low-carbon societies by the roll-out of smart energy communities and the spread of RES production.

Specific objectives of this project are: (a) to demonstrate the economic feasibility and opportunities of renovation strategies at large scale according a PEDs vision; (b) to combine data sources at building and cluster of buildings scale by collecting and gathering available data from multiple domains; (c) to appraise a wide-ranging ranks of KPIs according each stakeholder and design phase targets to predict the best outcomes of distinct renovation scenario; (d) to facilitate the multiple stakeholders’ engagement in large-scale renovation actions according a Positive Energy District (PED) vision.

The project addresses this complex set of challenges according to a multi-criteria decision-making approach and the work plan is organized in structured Work Packages and tasks focused on specific topics:

– the definition of the main input and KPIs for large-scale renovation strategies according to a PED vision -according different stakeholders’ profiles- to explore scenarios and potential from a cluster of buildings.

– the data aggregation from multiple domains and sources, to assess building renovation by integrating a wide information and stakeholders settings.

– the integration of data and implementation of Pedrera model into a web platform to enable a quick, customized and clear analysis of scenarios according economic feasibility, surplus RES production and sustainability topics.

 

Expected impact

The expected results of the novel model are meant to: (1) meet the most relevant requirements from each stakeholder by prioritizing and designing energy efficient measures based on a reliable business model, (2) guide and meet availability of the entire retrofit process according different issues.

A replicable and scalable smart district renovation model (PED model), for which patenting is expected, will be integrated into an open cloud-based architecture network linked to stakeholders needs and to a portfolio of strategies and key technological solutions and services. The new conceptual framework will be tailored to specific building types and climate conditions in order to find the best intervention strategies according comfort, energy efficiency and cost scenarios depending on a portfolio of measures. Furthermore, the customized model will run data through a special wizard able to filter input data which are displayed and shared on a GIS platform. Hence the model is meant to offer additional services, empowered by its implementation into a web platform. Therefore, the model will run data through a special wizard able to filter input data which will be displayed and shared on the UrbanZEBtool web platform ( http://urbanzeb.com/ ).

According to this vision, the project model will enhance its impact by: (a) simulating the effectiveness of refurbishment actions and energy saving measures that will prove the practical feasibility of an “import vs. export energy balance strategy” on a limited number of geo-referenced energy efficient interactive buildings, (b) demonstrating the potential benefit and economies of scale in terms of reduction of costs, energy and social impacts offered by the interaction of successful retrofit projects at district level, (c) supporting and furthering sustainable Energy Communities to come.

Projects partners

CICLICA https://ciclica.eu/ca/

Contact 

Paolo Civiero pciviero@irec.cat

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 712949 (TECNIOspring PLUS) and from the Agency for Business Competitiveness of the Government of Catalonia