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.
ABSTRACT
In the recent years, especially after covid-19 became a thing, people started finding information about Retail On- Demand Services online rather than relying on local contacts. This makes it a lot easier for people to find and book services online, rather than going out and booking them in person. So, a Django-based Web application with a real time database deployed on cloud that provides details of some service providers (Carpenters, Electricians etc.) in region of Kanuru (Vijayawada, India) has been designed. Data are collected from multiple sources using a scraping code that Beautiful Soup framework is used and stored in PostgreSQL database that is later deployed on Cloud platforms. This helps people from this region to access information quickly and help them book these On-Demand Services Faster. © 2022 IEEE.