SUSTAINABLE BUILDINGS IN THE AMAZON: A SYSTEMS ANALYSIS INTEGRATING BIM, ENERGY, WATER, AND CONSTRUCTION SYSTEMS
DOI:
https://doi.org/10.36557/2674-9432.2026v5n1p1092-1110Keywords:
Building Information Modeling, Sustainable Construction, Floating Buildings, Energy EfficiencAbstract
The increasing pressure on Amazonian ecosystems, coupled with demands for housing and infrastructure in areas subject to complex hydrological regimes, poses significant challenges to the planning and design of environmentally responsible buildings. In this context, floating buildings emerge as an adaptive alternative, requiring integrated construction solutions that reconcile environmental performance, resource efficiency, and adaptation to the specific climatic, social, and territorial characteristics of the region. This article aims to analyze, in an integrated manner, the design of a sustainable construction system applied to floating buildings in the Amazon, articulating the use of Building Information Modeling (BIM) methodology with energy efficiency strategies, water management, and construction solutions appropriate to the regional environmental and socioeconomic context. The theoretical framework is based on the principles of sustainable construction, the environmental performance of buildings, the application of BIM as a tool for integration and support for decision-making, and contemporary approaches to energy efficiency, rational water use, and construction systems adapted to sensitive environments. This research adopts a qualitative and conceptual approach, exploratory in nature, structured from a systematic literature review and the development of an integrated conceptual model. BIM is used as an organizing axis to simulate, articulate, and evaluate the energy, water, and construction subsystems, allowing for a systemic analysis of design performance. The results show that the integration between BIM, renewable energy systems, water harvesting and reuse solutions, and appropriate construction techniques enhances environmental performance, resource rationalization, and the adaptability of the proposed system to Amazonian conditions.
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