A Comprehensive PED-Database for Mapping and Comparing Positive Energy Districts Experiences at European Level

Autor: Giulia Turci, Beril Alpagut, Paolo Civiero, Michal Kuzmic, Serena Pagliula, Gilda Massa, Vicky Albert-Seifried, Oscar Seco, Silvia Soutullo
Přispěvatelé: Turci, Giulia, Alpagut, Beril, Civiero, Paolo, Kuzmic, Michal, Pagliula, Serena, Massa, Gilda, Albert-Seifried, Vicky, Seco, Oscar, Soutullo, Silvia, Publica, Giulia Turci, Beril Alpagut, Paolo Civiero, Michal Kuzmic, Serena Pagliula, Gilda Massa, Vicky Albert-Seifried, Oscar Seco, Silvia Soutullo
Jazyk: angličtina
Předmět:
Zdroj: Sustainability; Volume 14; Issue 1; Pages: 427
Sustainability, Vol 14, Iss 427, p 427 (2022)
ISSN: 2071-1050
DOI: 10.3390/su14010427
Popis: Positive Energy Districts (PEDs) are considered as one of the pioneer strategies to guide cities in their energy planning process towards climate neutrality in an attractive, innovative and human-centered way. The concept of PED is the result of a long co-creation process and integrates several multidimensional features, aiming to promote the sustainable development of urban areas and the transition of cities towards a climate neutral energy system. The paper provides an overview of the first outcomes of WG1 “PED Mapping, Characterization and Learning”, in the research COST Action CA19126 “Positive Energy Districts European Network” (PED-EU-NET). This study describes activities that focus on creating a comprehensive PED-Database by mapping existing concepts, strategies, projects, technological and non-technological solutions related to PEDs in Europe. The main objective of the Database is to support municipalities through the decision-making process by providing strategies for building and running a successful PED that can provide alternatives to consider, and is powered by an interactive web-based map. The design of the Database framework is supported by a step-by-step methodology adopted in the framework of the CA19126 in order to develop the PED-Database as an interactive, updatable and user-friendly tool.
This article is based upon work from COST Action 19126 Positive Energy Districts European Network PED-EU-NET (https://pedeu.net/ Accessed on 16 November 2021), supported by COST (European Cooperation in Science and Technology, www.cost.eu Accessed on 16 November 2021). The authors acknowledge COST Action 19126 WGs and other international initiatives-in particular IEA Annex 83, JPI Urban Europe, Smart Cities Marketplace and EERA Joint Programme on Smart Cities-for the fruitful and continuous collaboration in PED-Database development. Paolo Civiero acknowledges this project has funding received from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 712949 (TECNIOspring PLUS) and the Government of Catalonia's Agency for Business Competitiveness (ACCIÓ). Michal Kuzmic acknowledges the funding received from the European Union's Horizon 2020 research and innovation programme under the SPARCS grant agreement No 864242. Beril Alpagut acknowledges the funding received from the European Union's Horizon 2020 research and innovation programme under the MAKING-CITY project agreement No 824418. Giulia Turci and Serena Pagliula acknowledge TRACE research team from University of Bologna and the funding received from the European Union's Horizon 2020 research and innovation programme under the GRETA project agreement No 101022317.
Databáze: OpenAIRE