Innovative PEDRERA Model Tool Boosting Sustainable and Feasible Renovation Programs at District Scale in Spain
Sustainability
; 14(15):9672, 2022.
Article
in English
| ProQuest Central | ID: covidwho-1994197
ABSTRACT
In accordance with the new recovery plan, Next Generation EU (NGEU), and the need to speed up the transition of cities towards a new sustainable model, this paper provides an overview of the outcomes of the PEDRERA project, which is focused on the development of a novel tool able to calculate multiple key performance indicators that can support renovation actions at the district level, according to a Positive Energy District (PED) concept. The new tool is programmed in Python programming language and is useful to evaluate several strategies for the renovation of existing building stock. It moves from a quick list of input according to several Public Private Partnership (PPP) models, in addition to other potential business models. Furthermore, the design of the model is supported by a step-by-step methodology in order to deal with a “financial appraisal” that is interactive in each context, customizable for each stakeholder, and user-friendly. The paper describes this innovative tool and reports on the stronger potential that this model can offer when it runs in a QGIS software environment and interacts with a PostgreSQL database, as demonstrated in two case studies located in Spain.
Environmental Studies; recovery and resilience plan; Next Generation EU (NGEU); Positive Energy District; climate neutrality; integrated planning; large scale renovation; green deal goals; QGIS; PostgreSQL; Smart cities; Investments; Costs; Cooperation; Buildings; Programming languages; Employment; Sustainability; Renovation & restoration; Business models; Citizenship; Energy; Stakeholders; Emission standards; Financial institutions; COVID-19; Europe
Full text:
Available
Collection:
Databases of international organizations
Database:
ProQuest Central
Language:
English
Journal:
Sustainability
Year:
2022
Document Type:
Article
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