Embedded Files
Click here to cast your VOTES for Best Video!!
3: Assessment of Energy Efficiency of an Existing Building based on GRIHA Framework
Assessing energy efficiency in buildings is crucial for reducing environmental impact, conserving resources, and saving costs. Buildings account for a significant portion of global energy consumption, and evaluating energy efficiency helps identify areas for improvement. This study focuses on key areas such as material efficiency, electrical efficiency, water efficiency and sustainable practices. Material efficiency is determined by Embodied Energy (EE) calculations, quantifying energy consumption across the lifecycle of material. Electrical efficiency is a critical aspect, encompassing lighting, HVAC, and electrical systems. Water efficiency is equally important, involving the installation of low-flow fixtures, rainwater harvesting, and greywater reuse systems. The GRIHA framework provides a comprehensive assessment tool, evaluating energy, water, and waste management. The ultimate goal of assessing energy efficiency is to enhance sustainability, reduce environmental impact, and promote eco-friendly building practices. In conclusion, assessing energy efficiency in buildings is vital for promoting sustainability, reducing energy consumption, and enhancing occupant comfort. It also helps building owners and managers to make a positive impact on the environment while benefiting from cost savings and improved market value.
08: Integration of Computational and parametric Design towards Sustainable Construction
The construction industry faces mounting pressure to adopt sustainable practices in response to escalating energy consumption and environmental concerns. Buildings are responsible for a significant share of global energy use, necessitating innovative approaches to improve efficiency. This study introduces an AI-driven parametric design framework aimed at optimizing architectural parameters for energy-efficient and sustainable construction. Leveraging environmental data from 150 diverse locations across India, the research develops predictive models to determine optimal building orientation, window-to-wall ratio (WWR) and material selection tailored to regional climates. Advanced machine learning algorithms are integrated with building information modeling (BIM) to provide a data-driven approach, achieving energy savings of up to 40%. This framework enables informed decision-making by correlating environmental conditions with design strategies. By addressing regional variations and integrating sustainability metrics, the study highlights the transformative potential of AI in redefining sustainable construction and fostering energy-efficient architectural practices globally.
Keywords: Sustainability, Machine Learning, Building Orientation."
12: Evaluation of nitrate contamination in ground water and sustainable solutions for its removal
12: Evaluation of nitrate contamination in ground water and sustainable solutions for its removal
Groundwater is an essential and indispensable resource that meets the dire needs for drinking and irrigation purposes. Different sources such as industrial, municipal, urban, and agricultural runoff are the main contributors to water pollution. Nitrate, an inorganic form of nitrogen, one of the water pollutants, can destroy water quality ecologically and clinically by causing eutrophication in aquatic bodies and methemoglobinemia (blue baby syndrome) in human infants, and other health complications in animals. According to the Nitrate Pollution Index (NPI), it is essential to regularly monitor well sites to prevent nitrate contamination resulting from human activities, including waste disposal in open areas and sewage infiltration. By testing groundwater samples through spectrophotometry, this study aims to understand the extent of nitrate contamination and develop a practical and sustainable solution for its removal. We perform a comparative analysis of filtration efficiency using two treatment combinations: activated charcoal with Chlorella vulgaris and activated charcoal with duckweed. These combinations are layered in a column chromatography setup to enhance the filtration process. This study aims to determine the most effective and environmentally sustainable method for nitrate removal, contributing to the development of scalable water treatment solutions for regions facing similar contamination challenges
17: Planning, Analysis and Design of a Smart Sustainable Mini Hospital
17: Planning, Analysis and Design of a Smart Sustainable Mini Hospital
As healthcare needs worldwide continue to evolve, the importance of accessible and efficient medical services is gaining greater recognition. Larger hospitals frequently encounter challenges like overcrowding, long wait times, and resource strain, which underscores the need to explore alternative healthcare models. In this context, the mini hospital concept arises as a crucial solution. In this study the Planning,Analysis and Design and 3D visualisation of a Smart Sustainable Mini-Hospital at Valamboor, Ernakulam district is done using Autocad and ETABS. The nearest hospital is 18 km away from Valamboor. By constructing a mini hospital there provide immediate and essential medical services and inpatient care for the local community compliance with safety and operational standards. The planning is done using AutoCAD, the Analysis and Design is done using ETABS using the corresponding IS codes and KPBR rules and Design codes. And the 3D modelling is done using REVIT Software. The project prioritizes featuring energyefficient HVAC systems, solar panels, water-saving measures like rainwater harvesting and greywater recycling, and a comprehensive waste management system for responsible disposal and recycling.
Page updated
Report abuse