Forthcoming and Online First Articles

International Journal of Sustainable Real Estate and Construction Economics

International Journal of Sustainable Real Estate and Construction Economics (IJSRECE)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Sustainable Real Estate and Construction Economics (3 papers in press)

Regular Issues

  • APPLICATION OF ARTIFICIAL INTELLIGENCE (AI) AND HOME AUTOMATION TO ENERGY SAVING IN BUILDINGS   Order a copy of this article
    by Carlos Armenta-Déu 
    Abstract: This work aims to address the energy efficiency problem for home temperature control using physical principles and artificial intelligence. The objective is to find the most efficient way to maintain the temperature within the comfort range using an external source. Four simulations have been carried out for different seasons, each with preset parameters, to determine the optimal energy-saving solution for each season. The results of the simulations show that spring is the only season where no external source is necessary. The simulations also show that the choice of the external source and the moment of use can significantly influence the energy required to maintain the temperature within the comfort range. Switching on the external supply from the first hours of the day is more energy efficient than starting it later. The required energy amount varies according to the season; summer requires more power due to higher ambient temperature. This paper covers the gap in predictive techniques to optimize energy balance, assuring optimum comfort conditions. The proposed method uses people recognition as the key parameter to apply AI and home automation.
    Keywords: Home automation; control system; energy efficiency; energy saving; artificial intelligence.
    DOI: 10.1504/IJSRECE.2024.10065217
     
  • Exploring the Interdependence of Stock Markets, Interest Rates, and Housing Prices: Empirical Insights from India   Order a copy of this article
    by Susovon Jana, Tarak Nath Sahu 
    Abstract: With the help of cointegration, VECM, and the Granger Causality Test, the study looks at how stock markets, interest rates, and housing prices in India are related to each other from 2010q2 to 2022q1. The cointegration result shows that three variables are cointegrated in the long term, while stock prices and house prices are positively associated. Conversely, a negative relationship is found between stock prices and interest rates. The causality test claims that stock prices have a causal impact on interest rates, and interest rates cause housing prices in the short run. Importantly, the study reveals the presence of the wealth effect and interest rate risk in the long term and the credit price effect in the short term in the Indian market. Ultimately, this study highlights the importance of regulatory authorities having control over interest rates in the Indian economy.
    Keywords: VECM; Granger Causality; Credit Price Effect; Wealth Effect; Interest Rate Risk.
    DOI: 10.1504/IJSRECE.2024.10067107
     
  • A critical evaluation of the sustainability of building codes and policy when embodied carbon is considered for the construction of three-bedroom houses in the United Kingdom   Order a copy of this article
    by Harry King, Rebecca Rawson, Uchechukwu Okere 
    Abstract: Newly constructed houses release Greenhouse Gas (GHG) emissions for Scopes 1, 2 and 3. The UK Government is introducing standards to reduce operational emissions. However, considerable emissions are generated from Scope 3, the cradle-to-gate Life Cycle Analysis (LCA) phase. This research investigates the significance of embodied carbon within structural frames of new houses and its policy implications. The structural frame of a three-bedroom house was used to calculate the embodied carbon of building materials. Results from One Click LCA, an automated lifecycle tool, were compared to manually calculated values. The annual average number of new houses was calculated providing total embodied carbon for each material. Results demonstrate that houses generate significant Scope 3 emissions. Wooden frames had the lowest embodied carbon. Policies should address embodied carbon to reduce emissions. Full LCA analysis within building standards, replacing bricks and mortar with wooden or steel frames, and GHG intensity scoring are recommended.
    Keywords: Embodied carbon; new build houses; three-bedroom homes; Scope 3 emissions; Cradle-to-Gate; Life Cycle Analysis; A1-A3 embodied carbon emissions; sustainability; building codes; construction.
    DOI: 10.1504/IJSRECE.2024.10068114
     

 

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