This research aims to develop a model for the design of a software capable of managing energy efficiency operations in large property assets, including feasibility analysis and optimization processes, to support and direct the decision-making process. Whether applied to historic or traditional assets, energy efficiency is a complex and expensive operation, especially if broaden to large building stocks: it becomes crucial to evaluate alternative scenarios and identify the actions that can lead to the optimal resources allocation, considering the best balance between energy savings and total costs. The assessment at the early stage of economic convenience is strategic, including methods capable of controlling both the energetic behavior of the buildings and the monetary amounts involved. This study, hence, intends to elaborate a replicable model for the preventive economic evaluation in retrofit operations, especially for large property portfolios, where it is harder to define which combination of interventions leads to the optimal result. In particular, this model is processed starting from the project, “Unife sostenibile: screening energetico del patrimonio edilizio dell’ateneo di Ferrara e proposte preliminari per la fase di programmazione degli interventi di retrofit ”, developed by the Research Center “Achitettura> Energia (Unife).” The project chosen has analyzed a group of buildings in Ferrara, finding their thermo-hygrometric behavior, their annual consumption and other information about their installation systems, giving us a significant database necessary to implement the economic evaluation model to a detailed case-study. Thus, the goal of the research is to produce a calculation tool which can be easily used, and which can quickly identify the best retrofit scenario. Moreover, the model should be exportable and applicable in other contexts as well by varying the input data only.

La ricerca ha l’obiettivo di sviluppare un modello per la progettazione di un software capace di gestire interventi di efficientamento energetico su ampi patrimoni immobiliari, comprendendo analisi di fattibilità e processi di ottimizzazione, per supportare ed indirizzare l’iter decisionale. In particolare, nel caso di beni storici, l’efficientamento energetico è un’operazione estremamente complessa, costosa e difficile da governare, soprattutto se estesa a grandi portafogli: diventa allora cruciale valutare numerosi scenari alternativi di intervento per identificare le azioni che possano portare all’allocazione ottimale delle risorse, bilanciando al meglio risparmi e costi.

A programmatic decision-making tool for large property assets. Energy calculation and economic feasibility_SECOND PART/Uno strumento decisionale per grandi patrimoni immobiliari. Calcolo energetico e fattibilità economica_PARTE SECONDA / Calzolari, Marta; Davoli, Pietromaria; Gabrielli, Laura; Ruggeri, Aurora. - In: RECUPERO E CONSERVAZIONE. - ISSN 2283-7558. - 149(2018), pp. 43-49.

A programmatic decision-making tool for large property assets. Energy calculation and economic feasibility_SECOND PART/Uno strumento decisionale per grandi patrimoni immobiliari. Calcolo energetico e fattibilità economica_PARTE SECONDA

Calzolari, Marta
;
2018

Abstract

La ricerca ha l’obiettivo di sviluppare un modello per la progettazione di un software capace di gestire interventi di efficientamento energetico su ampi patrimoni immobiliari, comprendendo analisi di fattibilità e processi di ottimizzazione, per supportare ed indirizzare l’iter decisionale. In particolare, nel caso di beni storici, l’efficientamento energetico è un’operazione estremamente complessa, costosa e difficile da governare, soprattutto se estesa a grandi portafogli: diventa allora cruciale valutare numerosi scenari alternativi di intervento per identificare le azioni che possano portare all’allocazione ottimale delle risorse, bilanciando al meglio risparmi e costi.
This research aims to develop a model for the design of a software capable of managing energy efficiency operations in large property assets, including feasibility analysis and optimization processes, to support and direct the decision-making process. Whether applied to historic or traditional assets, energy efficiency is a complex and expensive operation, especially if broaden to large building stocks: it becomes crucial to evaluate alternative scenarios and identify the actions that can lead to the optimal resources allocation, considering the best balance between energy savings and total costs. The assessment at the early stage of economic convenience is strategic, including methods capable of controlling both the energetic behavior of the buildings and the monetary amounts involved. This study, hence, intends to elaborate a replicable model for the preventive economic evaluation in retrofit operations, especially for large property portfolios, where it is harder to define which combination of interventions leads to the optimal result. In particular, this model is processed starting from the project, “Unife sostenibile: screening energetico del patrimonio edilizio dell’ateneo di Ferrara e proposte preliminari per la fase di programmazione degli interventi di retrofit ”, developed by the Research Center “Achitettura> Energia (Unife).” The project chosen has analyzed a group of buildings in Ferrara, finding their thermo-hygrometric behavior, their annual consumption and other information about their installation systems, giving us a significant database necessary to implement the economic evaluation model to a detailed case-study. Thus, the goal of the research is to produce a calculation tool which can be easily used, and which can quickly identify the best retrofit scenario. Moreover, the model should be exportable and applicable in other contexts as well by varying the input data only.
A programmatic decision-making tool for large property assets. Energy calculation and economic feasibility_SECOND PART/Uno strumento decisionale per grandi patrimoni immobiliari. Calcolo energetico e fattibilità economica_PARTE SECONDA / Calzolari, Marta; Davoli, Pietromaria; Gabrielli, Laura; Ruggeri, Aurora. - In: RECUPERO E CONSERVAZIONE. - ISSN 2283-7558. - 149(2018), pp. 43-49.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/2863083
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