Development of a decision support tool for optimizing the smart readiness indicator (SRI) based on desired target and upgrade costs

Siafarikas, Christos; Σιαφαρίκας, Χρήστος

dc.contributor.author	Siafarikas, Christos	en
dc.contributor.author	Σιαφαρίκας, Χρήστος	el
dc.date.accessioned	2025-08-29T09:27:32Z
dc.date.available	2025-08-29T09:27:32Z
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/62250
dc.identifier.uri	http://dx.doi.org/10.26240/heal.ntua.29946
dc.description	Εθνικό Μετσόβιο Πολυτεχνείο--Μεταπτυχιακή Εργασία. Διεπιστημονικό-Διατμηματικό Πρόγραμμα Μεταπτυχιακών Σπουδών (Δ.Π.Μ.Σ) "Διαχείριση ΄Εργων Υποδομών και Κατασκευών"	el
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/gr/	*
dc.subject	SRI gain	en
dc.subject	Smart Readiness Indicator (SRI)	en
dc.subject	Django	en
dc.subject	Smart buildings	en
dc.subject	Εξυπνα κτίρια	el
dc.subject	Ενεργειακή Αποδοτικότητα	el
dc.title	Development of a decision support tool for optimizing the smart readiness indicator (SRI) based on desired target and upgrade costs	en
heal.type	masterThesis
heal.classification	Computer Engineering	en
heal.language	el
heal.language	en
heal.access	free
heal.recordProvider	ntua	el
heal.publicationDate	2025-02-25
heal.abstract	The project that will be summarized, will focus on the Smart Readiness Indicator (SRI) exploring how it can assist users in improving their building's smart readiness. The project will aim to connect the suggestions for improving the score with their financial cost. For the calculation of this indicator, a tool has been developed through which the customer can input their building's data and automatically calculate it. Extensions that have already been implemented include a recommendation system to improve the score by enhancing specific functionalities within the building. The aim of the current thesis is to match these recommendations with actual products that can be purchased and integrated into the building, considering their cost as well as the cost-benefit analysis relative to the improvement they provide. To present the results, the existing tool is extended to display information about technologies for building upgrades in a simple manner, along with photos and their costs. Additionally, it showcases the total cost and the cost efficiency of different upgrade scenarios. These scenarios are ranked both in terms of the index improvement they achieve and the upgrade cost, as well as the cost-to-benefit ratio, providing the user with a comprehensive view of potential upgrades. The project will be developed using Python and integrated into an existing web platform through Django, a modern and flexible web application development framework. Django's strengths are the organized structure it provides with separation into models (databases), views (logic), and templates (presentation) and the built-in functionality for secure and efficient application development. This diploma aims to offer users a comprehensive experience for improving the SRI of their building, combining improvement proposals with cost estimates. By implementing through Django, a friendly environment will be created that will promote efficient energy management and sustainable development.	en
heal.advisorName	Marinakis, Vangelis	en
heal.committeeMemberName	Psarras, John	en
heal.committeeMemberName	Askounis, Dimitris	en
heal.committeeMemberName	Marinakis, Vangelis	en
heal.academicPublisher	Εθνικό Μετσόβιο Πολυτεχνείο. Σχολή Πολιτικών Μηχανικών	el
heal.academicPublisherID	ntua
heal.numberOfPages	171 σ.	el
heal.fullTextAvailability	false