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Building energy modeling (BEM) is used to support (nearly) zero-energy building (ZEB) projects, since this kind of software represents the only available option to forecast building energy consumption with high accuracy. BEM may also be used during preliminary analyses or feasibility studies, but simulation results are usually too detailed for this stage of the project. Aside from that, when optimization algorithms are used, the implied high number of energy simulations causes very long calculation times. Therefore, designers could be discouraged from the extensive use of BEM to conduct optimization analyses. Thus, they prefer to study and compare a very limited amount of acknowledged alternative designs. In relation to this problem, the scope of the present study is to obtain an easy-to-use tool to quickly forecast the energy consumption of a building with no direct use of BEM to support fast comparative analyses at the early stages of energy projects. In response, a set of automatic energy assessment tools was developed based on machine learning techniques. The forecasting tools are artificial neural networks (ANNs) that are able to estimate the energy consumption automatically for any building, based on a limited amount of descriptive data of the property. The ANNs are developed for the Po Valley area in Italy as a pilot case study. The ANNs may be very useful to assess the energy demand for even a considerable number of buildings by comparing different design options, and they may help optimization analyses.
Marco Pittarello; Massimiliano Scarpa; Aurora Ruggeri; Laura Gabrielli; Luigi Schibuola. Artificial Neural Networks to Optimize Zero Energy Building (ZEB) Projects from the Early Design Stages. Applied Sciences 2021, 11, 5377 .
AMA StyleMarco Pittarello, Massimiliano Scarpa, Aurora Ruggeri, Laura Gabrielli, Luigi Schibuola. Artificial Neural Networks to Optimize Zero Energy Building (ZEB) Projects from the Early Design Stages. Applied Sciences. 2021; 11 (12):5377.
Chicago/Turabian StyleMarco Pittarello; Massimiliano Scarpa; Aurora Ruggeri; Laura Gabrielli; Luigi Schibuola. 2021. "Artificial Neural Networks to Optimize Zero Energy Building (ZEB) Projects from the Early Design Stages." Applied Sciences 11, no. 12: 5377.
PurposeValuation is the process of determining Market Value. Property valuation, as with the valuation of all assets, is an estimation of price in the market. It is value in exchange. The valuer role is to determine the appropriate approach, the method and use the right model to achieve this aim as best as possible. It is a combination of analysing the market and determining the critical variables for the valuation method/model. The method is separate from the valuation process which should be followed (according to the International Valuation Standards Council Valuation Standards) regardless the valuation method chosen. There are valuation approaches, valuation methods and, as a subset of the methods, techniques or models.Design/methodology/approachThis practice briefing is an overview of the Valuation Methods and Models available to the valuer and comments on the appropriateness of valuation each in assessing Market Value for specific property types.FindingsThis briefing is a review of the valuation methods and models and models that can be applied to determine market value.Practical implicationsThe role of the valuer in practice is to identify the method of valuation and then apply the correct mathematical model for the valuation task in hand.Originality/valueThis provides guidance on how valuations can be presented to the client in accordance with the International Valuation Standards.
Laura Gabrielli; Nick French. Pricing to market: property valuation methods – a practical review. Journal of Property Investment & Finance 2020, ahead-of-p, 1 .
AMA StyleLaura Gabrielli, Nick French. Pricing to market: property valuation methods – a practical review. Journal of Property Investment & Finance. 2020; ahead-of-p (ahead-of-p):1.
Chicago/Turabian StyleLaura Gabrielli; Nick French. 2020. "Pricing to market: property valuation methods – a practical review." Journal of Property Investment & Finance ahead-of-p, no. ahead-of-p: 1.
Alessandra Oppio; Marta Bottero; Federico Dell’Anna; Marta Dell’Ovo; Laura Gabrielli. Correction to: Evaluating the Urban Quality Through a Hybrid Approach: Application in the Milan (Italy) City Area. Virtual, Augmented and Mixed Reality. Multimodal Interaction 2020, 12253, C1 -C1.
AMA StyleAlessandra Oppio, Marta Bottero, Federico Dell’Anna, Marta Dell’Ovo, Laura Gabrielli. Correction to: Evaluating the Urban Quality Through a Hybrid Approach: Application in the Milan (Italy) City Area. Virtual, Augmented and Mixed Reality. Multimodal Interaction. 2020; 12253 ():C1-C1.
Chicago/Turabian StyleAlessandra Oppio; Marta Bottero; Federico Dell’Anna; Marta Dell’Ovo; Laura Gabrielli. 2020. "Correction to: Evaluating the Urban Quality Through a Hybrid Approach: Application in the Milan (Italy) City Area." Virtual, Augmented and Mixed Reality. Multimodal Interaction 12253, no. : C1-C1.
Urban planning can support the optimal exploitation of the resources available in an urban system with specific reference to the accessibility of goods and services by an increase of the quality of the public space. In this perspective, knowing the economic effects generated by urban planning choices can be fundamental to guide decision-making processes. For this purpose, a research work which proposes a method for defining a synthetic index through the Multi-Attribute Value Theory to describe urban quality is presented. The synthetic index proposed in this study reflects the public open spaces, accessibility and provision of services qualities of the urban context. Besides, this study estimates these advantages through the hedonic prices method, analyzing the residential market. The combined methodology has been applied in detail to three districts located in the Municipality of Milan (Italy). The simultaneous reading of the indices used to spatialise the urban quality levels allows identifying the extrinsic characteristics of the three neighbourhoods analyzed. Considering the changes induced on house prices, the results of the hedonic models show that the economic impacts generated by low levels of urban quality are significant. Accordingly, the policies that aim to transform the existing urban fabric become fundamental for the creation of economic and social value.
Alessandra Oppio; Marta Bottero; Federico Dell’Anna; Marta Dell’Ovo; Laura Gabrielli. Evaluating the Urban Quality Through a Hybrid Approach: Application in the Milan (Italy) City Area. Lecture Notes in Computer Science 2020, 12253, 300 -315.
AMA StyleAlessandra Oppio, Marta Bottero, Federico Dell’Anna, Marta Dell’Ovo, Laura Gabrielli. Evaluating the Urban Quality Through a Hybrid Approach: Application in the Milan (Italy) City Area. Lecture Notes in Computer Science. 2020; 12253 ():300-315.
Chicago/Turabian StyleAlessandra Oppio; Marta Bottero; Federico Dell’Anna; Marta Dell’Ovo; Laura Gabrielli. 2020. "Evaluating the Urban Quality Through a Hybrid Approach: Application in the Milan (Italy) City Area." Lecture Notes in Computer Science 12253, no. : 300-315.
The research about energy efficiency in buildings has exponentially increased during the last few years. Nevertheless, both research and practice still cannot rely on complete methodologies tailored for building portfolios as a whole, because the attention has always been drawn to individual premises. Yet, energy efficiency analyses need to go beyond the single building perspective and incorporate strategic district approaches to optimize the retrofit investment. For this purpose, several aspects should be considered simultaneously, and new methodologies should also be promoted. Therefore, this paper aims to discuss energy retrofit campaigns in building portfolios, drawing an exhaustive and updated review about the challenge of jumping from the single-building perspective to a stock-based analysis. This research discusses the publications available on the topic from five key aspects that are all essential steps in achieving a complete and reliable study of energy efficiency at a portfolio level. They are energy modelling and assessment, energy retrofit design, decision-making criteria assessment, optimal allocation of (financial) resources and risk valuation. This review, therefore, advocates for joint consideration of the problem as a basis on which to structure further disciplinary developments. Research gaps are highlighted, and new directions for future research are suggested.
Aurora Ruggeri; Laura Gabrielli; Massimiliano Scarpa. Energy Retrofit in European Building Portfolios: A Review of Five Key Aspects. Sustainability 2020, 12, 7465 .
AMA StyleAurora Ruggeri, Laura Gabrielli, Massimiliano Scarpa. Energy Retrofit in European Building Portfolios: A Review of Five Key Aspects. Sustainability. 2020; 12 (18):7465.
Chicago/Turabian StyleAurora Ruggeri; Laura Gabrielli; Massimiliano Scarpa. 2020. "Energy Retrofit in European Building Portfolios: A Review of Five Key Aspects." Sustainability 12, no. 18: 7465.
The improvement of the energy efficiency of building stocks mostly consisting of heritage-listed buildings is a crucial issue from the environmental and economic points of view. However, the related interventions must take into account the non-monetary value due to their importance in the field of heritage preservation. As such, the interventions must be compatible with restoration principles aimed at preserving the main characteristics of the building (dimensions, materials and aspect). Moreover, when Institutions and large Companies act on large building stocks, they need procedures and decision tools able to define the most convenient set of interventions dedicated to each building. In such a context, it is very useful to merge restoration compatibility with energy (and, consequently, economic) assessments. This paper shows the results coming from the application of such an approach, by tracking the main steps of the following procedure and by showing its main advantages. In particular, we evaluate the compatibility of retrofit interventions through the assessment of a restoration compatibility score, which comes from a multi-criteria procedure.
Laura Gabrielli; Aurora Greta Ruggeri; Massimiliano Scarpa. Improving the Energy Efficiency in Historic Building Stocks: Assessment of a Restoration Compatibility Score. Blockchain Technology and Innovations in Business Processes 2020, 1143 -1154.
AMA StyleLaura Gabrielli, Aurora Greta Ruggeri, Massimiliano Scarpa. Improving the Energy Efficiency in Historic Building Stocks: Assessment of a Restoration Compatibility Score. Blockchain Technology and Innovations in Business Processes. 2020; ():1143-1154.
Chicago/Turabian StyleLaura Gabrielli; Aurora Greta Ruggeri; Massimiliano Scarpa. 2020. "Improving the Energy Efficiency in Historic Building Stocks: Assessment of a Restoration Compatibility Score." Blockchain Technology and Innovations in Business Processes , no. : 1143-1154.
During the last years, a growing interest has pivoted around strategies and methodologies for energy efficiency in buildings. Nevertheless, the attention has always been primarily directed to single properties, while the scientific research still lacks in solutions for building portfolios. Assets owners, instead, would require reliable decision-support systems in order to implement the most effective retrofit solutions. Hence, this study intends to elaborate a process to identify the optimal allocation of financial resources for energy enhancements in large building portfolios. Some novelties characterize this research. First, the approach developed covers each aspect of energy retrofits, from energy consumption assessment to on-site construction and management. Second, the level of detail requested is not excessively burdensome, ensuring good reliability. Third, the approach is interdisciplinary, connecting energy forecast techniques, economic analyses with operational research. The method developed has been implemented on a portfolio of 25 buildings in North Italy for testing and validation. It was possible to compare several design alternatives and reach for the best outcome, which demonstrated how this decision support system could be successfully used for real applications.
Laura Gabrielli; Aurora Greta Ruggeri. Optimal Design in Energy Retrofit Interventions on Building Stocks: A Decision Support System. Smart and Sustainable Planning for Cities and Regions 2020, 231 -248.
AMA StyleLaura Gabrielli, Aurora Greta Ruggeri. Optimal Design in Energy Retrofit Interventions on Building Stocks: A Decision Support System. Smart and Sustainable Planning for Cities and Regions. 2020; ():231-248.
Chicago/Turabian StyleLaura Gabrielli; Aurora Greta Ruggeri. 2020. "Optimal Design in Energy Retrofit Interventions on Building Stocks: A Decision Support System." Smart and Sustainable Planning for Cities and Regions , no. : 231-248.