Thermally comfortable energy efficient affordable houses: A review

Jayalath, Amitha; Vaz-Serra, Paulo; Hui, Felix Kin Peng; Aye, Lu

doi:10.1016/j.buildenv.2024.111495

Cited by 2 publications

(2 citation statements)

References 88 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Before making energy efficiency interventions, it is essential to understand the values of historic buildings [6]. This requires balancing social and climate objectives for energy efficiency [13,18].…”

Section: Introductionmentioning

confidence: 99%

“…However, it is recognised that occupant behaviour can significantly affect the effectiveness of energy-saving measures [20]. Recent research [13,18,26,27] has shown that user behaviour significantly impacts a building's energy efficiency and thermal comfort. Understanding the building and its context, actively involving building users, owners, and stakeholders [20], and incorporating technology and expertise are essential steps towards increasing efficiency holistically [16].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Investigating the Role of Thermal Comfort Perception on Negotiating Heritage Conservation and Energy Efficiency Decisions through System Dynamics

Karabeyeser Bakan,

Fouseki,

Altamirano

2024

Buildings

View full text Add to dashboard Cite

The building sector, which is responsible for a significant amount of total global energy consumption, provides substantial opportunities for energy efficiency studies. In the context of historic and traditional buildings, this matter becomes more crucial, as energy efficiency is more complex and challenging. The complexity partly derives from the multiple and diverse values with which the buildings are associated. These values are dynamic. In this paper, we chose historic houses in Gaziantep as our focal point. They provide an indicative example of houses with architectural features that help residents deal with the adverse effects of the hot climate. These specific features are significant for the users not only in terms of thermal comfort but also in terms of heritage values. The value that users attribute to the neighbourhood and their attitude towards buildings change over time. It is seen that thermal comfort plays a key role in energy efficiency and heritage conservation. Hence, understanding the role of thermal comfort perceptions and the ways in which they dictate certain energy efficiency and heritage conservation actions is critical. In this context, this paper addresses these dynamic, complex, and changing interrelationships over time. Drawing upon the dynamic analysis of in-depth, semi-structured interviews with three dwellings in Gaziantep’s Bey neighbourhood, we will discuss how residents of historic houses perceive thermal comfort and how they negotiate and prioritise energy efficiency and heritage conservation.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Investigating the Role of Thermal Comfort Perception on Negotiating Heritage Conservation and Energy Efficiency Decisions through System Dynamics

Karabeyeser Bakan,

Fouseki,

Altamirano

2024

Buildings

View full text Add to dashboard Cite

show abstract

BIM Integration with XAI Using LIME and MOO for Automated Green Building Energy Performance Analysis

Khan,

Tariq,

Rehman

et al. 2024

Energies

View full text Add to dashboard Cite

Achieving sustainable green building design is essential to reducing our environmental impact and enhancing energy efficiency. Traditional methods often depend heavily on expert knowledge and subjective decisions, posing significant challenges. This research addresses these issues by introducing an innovative framework that integrates building information modeling (BIM), explainable artificial intelligence (AI), and multi-objective optimization. The framework includes three main components: data generation through DesignBuilder simulation, a BO-LGBM (Bayesian optimization–LightGBM) predictive model with LIME (Local Interpretable Model-agnostic Explanations) for energy prediction and interpretation, and the multi-objective optimization technique AGE-MOEA to address uncertainties. A case study demonstrates the framework’s effectiveness, with the BO-LGBM model achieving high prediction accuracy (R-squared > 93.4%, MAPE < 2.13%) and LIME identifying significant HVAC system features. The AGE-MOEA optimization resulted in a 13.43% improvement in energy consumption, CO2 emissions, and thermal comfort, with an additional 4.0% optimization gain when incorporating uncertainties. This study enhances the transparency of machine learning predictions and efficiently identifies optimal passive and active design solutions, contributing significantly to sustainable construction practices. Future research should focus on validating its real-world applicability, assessing its generalizability across various building types, and integrating generative design capabilities for automated optimization.

show abstract

Thermally comfortable energy efficient affordable houses: A review

Cited by 2 publications

References 88 publications

Investigating the Role of Thermal Comfort Perception on Negotiating Heritage Conservation and Energy Efficiency Decisions through System Dynamics

Investigating the Role of Thermal Comfort Perception on Negotiating Heritage Conservation and Energy Efficiency Decisions through System Dynamics

BIM Integration with XAI Using LIME and MOO for Automated Green Building Energy Performance Analysis

Contact Info

Product

Resources

About