Feasibility and Data Analytics for Sustainable Water Consumption in Solar-Integrated Systems: A case study of Karachi, Pakistan

Abstract

Water wastage damages reserves and irrigation systems. The distribution of dirty water in Karachi, the major economic hub of Pakistan, is one of the biggest challenges for drinking water and agriculture. This study provides techno-economic data analytics for a solar-powered efficient water management system.  For techno-economic data analytics, RETScreen clean energy software was utilized for the solar-based economic analysis of major hub Karachi, Pakistan was considered for location analysis. For the data analytics study, Python (Jupyter notebook) was used to collect and process the data using computational methods. The study considered a 10 kW power panel for energy generation. The proposed system provides payback for 15 years with a 93% reduction in tCO₂. The outcome shows that solar data analytics for the water consumption system is highly suggested for renewable energy integration to operate the water consumption system. This system purifies water for both drinking and irrigation applications by utilizing solar potential. Solar-based systems are recommended for higher efficiency without carbon emissions.