A Bibliometric Approach to Enhancing Energy Efficiency in Residential Buildings: A Review of Traditional Insulation Materials and Simulation-Based Integration for Optimal Design
Keywords:
Energy efficiency, Residential buildings, Insulation materials, Simulation-based design, Sustainable construction.Abstract
Efficiency in Energy in residential building is very important on sustainable development and combating climate change. The requirements for heating and cooling the structures take a considerable part of energy, proving that modern techniques in this aspect are crucial. The current work is a bibliometric review of conventional types of insulation and the use of simulation as a form of integration in the improvement of energy efficiency. Common materials such as wool, cork, and cellulose assess with regard to thermal conductivity, cost, and environmental impact, and novelties with regard to efficiency at the cost of their detrimental environmental impact. Specific technological tools, Building Information Modeling (BIM) and EnergyPlus are discussed in assessing the potential of a simulation tool to determine the appropriateness of materials and design strategies. The research acknowledges deficiencies in the approach to introducing traditional materials into simulation technologies, the deficit of unified databases and cooperative collaboration among specialists of various fields. Some of the observations made are research activities are assuming growing importance in energy efficient design, novel materials, computational tools play a pivotal role in energy related concepts. Specific suggestions for practice are the implementation of regional adaptations of the insulation concept and the use of optimization through simulation right from the first design step to make cost-efficient solutions possible. In theoretical propositions, the activities require enhanced frameworks which entail both a material science and computational modeling. In future work thrusts are described in terms of expanding the application of new materials, advanced sensing and modeling with AI, and active performance assessment throughout the lifecycle. It will be useful for researchers, policymakers as well as practitioners involved in the development of sustainable residential construction.
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