Discerning Heat Transfer in Building Materials

Balaji, Nallaval Chinnaswamy; Mani, Monto; Reddy, B. V. Venkatarama

doi:10.1016/j.egypro.2014.07.307

Cited by 31 publications

(12 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…al., 2014). Building envelope is defined as building components that make major parts of the building including roofs, walls, windows, and floor which act as the interface or physical separator between indoor and outdoor environments (Sadineni at el, 2011;Balaji et. al., 2014;Rodriguez-Ubinas et.…”

Section: Tangible Green Elements Of Green Residential Buildingmentioning

confidence: 99%

The Effects of Tangible and Intangible Green Elements on Green Residential Value from Professional Perspectives

Azis¹,

Zulkifli²

2021

20ª Conferência Internacional Da LARES

View full text Add to dashboard Cite

In 2020, the world's 7.8 billion inhabitants grappled with the novel coronavirus and the disease it causes, COVID-19, and gained new insight into the contributions of population density in urban areas, household size, and population aging to our vulnerability to pandemics. The restriction movement and lockdown has cause less global economic activity thus resulting less demand for some energy sources. However, some of the studies found an increase in household energy consumption up to 95% and negatively impact the occupant's expenditure since the restriction of COVID-19. Green building can be introduced as a response to this alarming situation. Green buildings have been proven to conveyed benefits in terms of energy and water saving and reduce negative impacts on the environment. Over decades, numerous studies have been conducted to investigate the relationship between green and property value. Past research has identified tangible elements of green building that is green envelope components that have effect on residential property value. However, to present, no research has been conducted to determine the effect of both tangible and intangible green elements on residential property value. Hence, this study aims to identify the effect of tangible and intangible green elements of green residential building on property value. 96 questionnaires were distributed among the professionals and were analyzed using frequency analysis. Tangible green envelope components including green roof, solar water heating, light pipe, solar photovoltaics, green wall, light shelf, and sustainable timber have positive effect on property value. Meanwhile, intangible green elements namely proximity of green residential building to basic amenities and public transportation which less than 500m and 750m are proven to increased property value. This research significantly explores the valuation field and contributes to new knowledge in valuing green properties.

show abstract

Section: Tangible Green Elements Of Green Residential Buildingmentioning

confidence: 99%

The Effects of Tangible and Intangible Green Elements on Green Residential Value from Professional Perspectives

Azis¹,

Zulkifli²

2021

20ª Conferência Internacional Da LARES

View full text Add to dashboard Cite

show abstract

“…The U-value is calculated in the software based on the basic building parameters, such as the thickness and materials. The external walls and roofs are the main surfaces for heat transfer between inside and outside environment, and there are many different types of materials in the structure [30,31]. The most common applied materials in construction are brick and blockwork, concretes, insulating materials, and plasters, as shown in Figure 2.…”

Section: Modelling Of Building Heat Demand In a Districtmentioning

confidence: 99%

District Heating Network Demand Prediction Using a Physics-Based Energy Model with a Bayesian Approach for Parameter Calibration

Chen

Friedrich

et al. 2019

Energies

View full text Add to dashboard Cite

Heat demand of a district heating network needs to be accurately predicted and managed to reduce consumption and emissions. Detailed thermal parameters are essential for predictions using physics-based energy models, but they are not always available or sufficiently accurate. To reduce the simulation time in calibration and the dependency of accurate data of buildings, this paper develops a prediction approach using a building energy model whose parameters are calibrated by Bayesian-based calibration method to match the recorded data of monthly heat demand. In the proposed calibration approach, an emulator is established to evaluate the untested values of thermal parameters using Bayesian method, and then use the evaluation results to search for the most suitable parameters value. The designed approach greatly accelerates the calibration speed. The method is used to calibrate a single parameter and multiple parameters of the building thermal energy models for a district heating network. After it has been verified with measured data, the developed calibration method is used to calibrate parameters of building energy models. The output of the calibrated model can predict the hourly building heat demand in district heating networks.

show abstract

“…Lattice thermal conductivity (LTC) measures the ability of solid materials to conduct heat through atom vibrations and affects their thermal transport performance. Therefore, there is a strong impetus to identify materials with either extremely high or low LTC and to further develop thermal management solutions for various applications such as electronics cooling, 1 building materials 2 and energy systems. 3 Theoretically, the most reliable and highly accurate method to predict LTC is the density functional theory (DFT) based anharmonic lattice dynamics (ALD) coupled with the phonon Peierls-Boltzmann transport equation (BTE).…”

Section: Introductionmentioning

confidence: 99%

High-throughput computational discovery of 3218 ultralow thermal conductivity and dynamically stable materials by dual machine learning models

Ojih,

Shen,

Rodriguez

et al. 2023

J. Mater. Chem. A

View full text Add to dashboard Cite

show abstract

Discerning Heat Transfer in Building Materials

Cited by 31 publications

References 19 publications

The Effects of Tangible and Intangible Green Elements on Green Residential Value from Professional Perspectives

The Effects of Tangible and Intangible Green Elements on Green Residential Value from Professional Perspectives

District Heating Network Demand Prediction Using a Physics-Based Energy Model with a Bayesian Approach for Parameter Calibration

High-throughput computational discovery of 3218 ultralow thermal conductivity and dynamically stable materials by dual machine learning models

Contact Info

Product

Resources

About