Application of Grasshopper Optimization Algorithm for Design and Development of Net Zero Energy Residential Building in Ahmedabad, India

This paper aims at applying Grasshopper-Optimization-Algorithm (GOA) for designing and developing a Net-Zero-Energy residential-building for a mega-city like Ahmedabad in India. The methodology implemented includes advanced tools like Revit for model creation and MATLAB for simulation, enabling the optimization of the building design. Leveraging detailed climatic data for Ahmedabad, Gujarat, and specific building parameters, the study effectively enhanced energy efficiency. GOA has been applied in reducing cooling loads and overall energy consumption through optimized passive design features. The findings highlight the significance of targeted optimization in building design for substantial energy savings and improved thermal performance. Furthermore, integrating solar panels significantly decreased energy consumption, with initial reductions from 9330 to 840 kWh. Subsequent MATLAB optimization further lowered consumption to 37.558 kWh per month, primarily during peak energy demand months of April to July. This endeavor aimed to achieve near-zero-energy consumption, showcasing the potential of renewable energy integration in building sustainability.