Energy Efficiency in Buildings and Innovative Materials for Building Construction

Cornaro, Cristina; Buratti, Cinzia

doi:10.3390/app10082866

Cited by 7 publications

(4 citation statements)

References 14 publications

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“…Due to the importance of focusing on the operating phase when minimizing the environmental impact [10,54], and because operational irregularities are common in buildings [55], an implemented operational tool may have great potential for industry. For swimming facilities, this is especially important since inappropriate operation may also cause problems such as degradation of equipment and the occurrence of the sick building syndrome [56].…”

Section: Discussion and Opportunities For Deployment Of The Created Modelmentioning

confidence: 99%

The Implementation of Multiple Linear Regression for Swimming Pool Facilities: Case Study at Jøa, Norway

et al. 2021

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This paper presents a statistical model for predicting the time-averaged total power consumption of an indoor swimming facility. The model can be a powerful tool for continuous supervision of the facility’s energy performance that can quickly disclose possible operational disruptions/irregularities and thus minimize annual energy use. Multiple linear regression analysis is used to analyze data collected in a swimming facility in Norway. The resolution of the original training dataset was in 1 min time steps and during the investigation was transposed both by time-averaging the data, and by treating part of the dataset exclusively. The statistically significant independent variables were found to be the outdoor dry-bulb temperature and the relative pool usage factor. The model accurately predicted the power consumption in the validation process, and also succeeded in disclosing all the critical operational disruptions in the validation dataset correctly. The model can therefore be applied as a dynamic energy benchmark for fault detection in swimming facilities. The final energy prediction model is relatively simple and can be deployed either in a spreadsheet or in the building automation reporting system, thus the method can contribute instantly to keep the operation of any swimming facility within the optimal individual energy performance range.

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Section: Discussion and Opportunities For Deployment Of The Created Modelmentioning

confidence: 99%

The Implementation of Multiple Linear Regression for Swimming Pool Facilities: Case Study at Jøa, Norway

et al. 2021

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“…The building sector is one of the largest consumers of energy in the world and generates greenhouse gases and CO 2 emissions [1]. Worldwide, the building sector is responsible for approximately 40% of global energy consumption and 39% of global CO 2 emissions, compared to around 22 and 30% of the industrial and transport sectors, respectively [2].…”

Section: Introductionmentioning

confidence: 99%

Thermal and Acoustic Performance of Gypsum Plasters Mixed with Different Additives: Influence of Bio-Based, Synthetic, and Mineral Fillers

Merli,

Bouzit,

Taha

et al. 2023

Applied Sciences

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Due to the high impact of the building sector on the environment, a growing interest focuses on insulating materials able to ensure good thermo-acoustic performance for the building envelope from a sustainable and circular economy perspective. In this context, Moroccan natural gypsum was mixed with local natural waste materials. The thermal and acoustic properties of the samples were measured; they were compared to those of synthetic- and mineral-based gypsum plasters manufactured with the same technique. A Small Hot Box apparatus was used for thermal characterization, whereas acoustic performance was investigated by means of a Kundt’s Tube. Natural and synthetic additives result in a reduction in density and an improvement in thermal performance. Conductivity values in the 0.181–0.238 W/mK range were obtained, depending on the type of natural additive, with respect to 0.275–0.323 W/mK of mineral-based gypsum plasters. The acoustic measurements showed that all the composites have similar performance in terms of acoustic absorption, whereas high transmission loss values were obtained for the natural additives (TL = 35–59 dB). Petiol of Palm and Stipa Tenacissima were found to be materials able to improve both thermal and acoustic properties.

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“…There are various approaches to achieving energy efficiency. Among them are energy savings in buildings that enable a sustainable energy future [2].…”

Section: Introductionmentioning

confidence: 99%

Comparison of Conventional Materials with Advance Materials to Operational Costs and Energy Efficiency Based on Sefaira

Santoso¹,

Ola²,

Sekarlangit³

2022

Advances in Social Science, Education and Humanities Research

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In the design process, consideration of energy efficiency is one of the crucial aspects of a design. Energy efficiency will affect the amount of carbon dioxide emissions released. In addition, energy efficiency also affects operational costs that will be maintained by the manager. During the construction process, conventional lightweight brick wall often takes longer to study than panel-shaped materials or modules. Currently there is an assumption that conventional lightweight brick wall has little influence on energy consumption and operational costs, so it is necessary to review the exploration of the use and composition of materials that can respond to the energy context in the surrounding area. This paper describes comparison of conventional materials with advance materials to operational costs and energy efficiency which in this case is apartment design from 3 rd year architecture studio. The research uses Sefaira simulation methods and values need to be reviewed such as energy use, operational costs, and other factors that can affect. Reference research assessment using ASHRAE-based standards 90.1 -2013 by following the 2030 energy challenge system. The results showed that brick pairs can result in much more significant energy expenditure and anticipational costs. It is necessary to review the material to reduce energy use and operational costs to obtain an ideal comparison of cooling and natural lighting loads in existing areas.

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Energy Efficiency in Buildings and Innovative Materials for Building Construction

Abstract: The main topics of this Special Issue regard energy efficiency in buildings and the use of innovative materials for design and retrofitting to pursue this goal [...]

Cited by 7 publications

References 14 publications

The Implementation of Multiple Linear Regression for Swimming Pool Facilities: Case Study at Jøa, Norway

The Implementation of Multiple Linear Regression for Swimming Pool Facilities: Case Study at Jøa, Norway

Thermal and Acoustic Performance of Gypsum Plasters Mixed with Different Additives: Influence of Bio-Based, Synthetic, and Mineral Fillers

Comparison of Conventional Materials with Advance Materials to Operational Costs and Energy Efficiency Based on Sefaira

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