Cost-Optimal measures for renovation of existing school buildings towards nZEB

Mora, Tiziano Dalla; Righi, Alessandro; Peron, Fabio; Romagnoni, Piercarlo

doi:10.1016/j.egypro.2017.11.143

Cited by 32 publications

(23 citation statements)

References 1 publication

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“…It is obvious that the value of flood loss will be influenced by the affected building's geometry. Previous studies have confirmed that the building's geometry is related to numerous economic aspects, such as energy efficiency [31,32] and construction costs. The optimum shape of the building (walls, foundations) and the internal layout of the building were discussed in [33], with the objective of reducing construction costs.…”

Section: Introductionmentioning

confidence: 87%

Hybrid Genetic Algorithm-Based Approach for Estimating Flood Losses on Structures of Buildings

Hanák¹,

Tuscher²,

Přibyl³

2020

Sustainability

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Occurrence of extreme natural events raises the need for a quick and accurate estimation of losses on the insured residential property in order to support timely recovery of the area. Although various models are now available to estimate the amount of loss on buildings, there is a lack of models providing a sufficient level of detail and accuracy that can be used for insurance purposes. In this study, a hybrid genetic algorithm-based model for flood loss estimation on the structures of buildings is presented. The proposed model combines the ordinary least squares method, a genetic algorithm, and the bill of costs method, which offers a good balance of maximum simplicity on the one hand and the accuracy of calculation on the other hand. The model considers the geometric characteristics (dimensions and shape) of rooms and is enabled to work with various types of materials and structures, as well as a variable depth of flooding. The results achieved show that in quick loss estimation, the model provides highly accurate results which meet the requirements for its use for the purposes of settlement of real insurance claims by insurance companies. The article outlines the potential automated connection of the model to insurance companies’ information system in order to create a simple building information model (BIM) of the insured property (building’s structures).

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Section: Introductionmentioning

confidence: 87%

Hybrid Genetic Algorithm-Based Approach for Estimating Flood Losses on Structures of Buildings

Hanák¹,

Tuscher²,

Přibyl³

2020

Sustainability

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“…Lucchi et al [12] M H R (historical) Mora et al [13] F H NR (school) D'Agostino et al [14] F/M H NR (school) Karásek et al [15] M H/DHW R/NR Bonakdar et al [16] F H/DHW R (multistory) Carpino et al [17] M H/C/DHW R (social housing) Loukaidou et al [18] F H/C R/NR (nZEB) Aelenei et al [19] Not indicated H/C/DHW NR (office) D'Agostino&Parker [20] F H/C/DHW/A R (two-story) Stevanović [21] Not indicated H/C NR (office) Baglivo et al [22] F/M H/C/DHW/A R (single-story) Zacà et al [23] M H/C/DHW/A R (multistory) Brandão De Vasconcelos [24] F/M H/C/DHW R (existing)…”

Section: Economic Scenario Energy Services Building Typologymentioning

confidence: 99%

“…For instance, in [12] a cost-optimal approach for the identification of suitable insulation materials to adopt in the refurbishment of historical buildings was carried out, but the analysis was limited to heating applications because the RB was located in the Prealps with a prevalent continental climate. A cost-optimal analysis aimed for the attainment of nZEB schools located in Northeast Italy was carried out in [13], considering only the heating requirements due to the particular intended use. A school building was also investigated in [14] to define the optimum insulation thickness and the best glazing system by locating the edifice in a mountain city of South Italy.…”

Section: Introductionmentioning

confidence: 99%

The Cost-Optimal Analysis of a Multistory Building in the Mediterranean Area: Financial and Macroeconomic Projections

et al. 2020

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Cost-optimal analysis was pointed out in the 2010/31 European Directive as a tool to evaluate the achievable building energy performance levels as a function of the corresponding costs. These analyses can be carried out by a financial projection for private investors and a macroeconomic approach to establish the minimal energy performance levels. Consequently, the financial projection provides different results that could stimulate private investors toward other cost-optimal solutions that do not match the minimal energy performance levels. For this purpose, both the projections were analyzed in the BEopt environment, developed by NREL, on a multistory building located in two contrasting climatic zones of the Mediterranean area, one cold and the other warm, highlighting the differences. The cost-optimal solutions were identified by a parametric study involving measures that affect thermal losses and solar gains, whereas the air-conditioning plant was left unchanged in order to include a fraction of renewable energy in the coverage of the building demands. Results showed that both the projections produced the same cost-optimal solutions, however, the latter matches the building designed to fulfill the minimal energy performance levels only in the cold climate. Conversely, noticeable deviations were detected in the warm location, therefore minimal energy performance levels should be revised, with preference for less insulated opaque surfaces and better performing glazing systems. Moreover, the macroeconomic scenario returns a more limited distance between the minimal energy performance levels and the cost-optimal solutions, therefore, it is far from the real economic frame sustained by private investors. in more favorable outcomes despite a slight increase in running (operating) costs. Consequently, the building-plant system with the lowest energy demand represents the cost-optimal solution; conversely the latter can be identified as a favorable balance point between energy consumption, investment and operational costs [7]. The 2010/31 EU directive represents the first attempt for the definition of a comparative methodological framework for the calculation of the optimal energy performance levels as a function of the costs, with reference to new and existing buildings [8]. The procedure cannot be generalized across Europe, therefore Member States have to adapt it to the climatic context, the accessibility to the energy infrastructures and the local market. In order to overcome these drawbacks, appropriate guidelines (Regulation 244) [9] were formulated to support the implementation of the cost-optimal procedure in every country by different steps:

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“…They also found that the energy-saving potential of the HVAC system was significant compared to the building envelope. Dalla Mora et al [6] studied an existing school building located in Italy, and several combinations of retrofit measures were applied to derive cost-effective solutions for renovation. Fonsca et al [7] designed a renovation plan for the Department of Electrical and Computer Engineering building in University of Coimbra, Portugal, with the aim to achieve the nearly zero-energy goal using two primary technologies: LED lighting and photovoltaic panels.…”

Section: Existing Energy Performance Of Education Buildingsmentioning

confidence: 99%

Optimal Renovation Strategies for Education Buildings—A Novel BIM–BPM–BEM Framework

2018

Sustainability

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The aim of this paper is to propose a novel building information model (BIM)–building performance model (BPM)–building environmental model (BEM) framework to identify the most energy-efficient and cost-effective strategies for the renovation of existing education buildings to achieve the nearly zero-energy goal while minimizing the environmental impact. A case building, the University of Maryland’s Architecture Building, was used to demonstrate the validity of the framework and a set of building performance indicators—including energy performance, environmental impacts, and occupant satisfaction—were used to evaluate renovation strategies. Additionally, this novel framework further demonstrated the interoperability among different digital tools and platforms. Lastly, following a detailed analysis and measurements, the case study results highlighted a particular energy profile as well as the retrofit needs of education buildings. Eight different renovation packages were analyzed with the top-ranking package indicating an energy saving of 62%, carbon emissions reduction of 84%, and long-term cost savings of 53%, albeit with a relatively high initial cost. The most preferable package ranked second in all categories, with a moderate initial cost.

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Cost-Optimal measures for renovation of existing school buildings towards nZEB

Cited by 32 publications

References 1 publication

Hybrid Genetic Algorithm-Based Approach for Estimating Flood Losses on Structures of Buildings

Hybrid Genetic Algorithm-Based Approach for Estimating Flood Losses on Structures of Buildings

The Cost-Optimal Analysis of a Multistory Building in the Mediterranean Area: Financial and Macroeconomic Projections

Optimal Renovation Strategies for Education Buildings—A Novel BIM–BPM–BEM Framework

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