Pathways toward zero-emission textile industry by 2050: A case study of Albania

초록

The growing energy demand in the textile and leather sub-branch presents a crucial opportunity to integrate sustainable solutions. By leveraging renewable energy systems (RES), enhancing efficiency measures, and adopting advanced technologies, the sector can address escalating energy needs while minimizing environmental impact and optimizing cost. Aligning these efforts with the National Energy and Climate Plan (NECP) and Sustainable Development Goals (SDGs) objectives strengthens supply resilience. It accelerates the transition toward a zero-emission society through sophisticated modeling tools. At the core of this research is the seamless integration of RETScreen Expert, a globally recognized tool for clean energy management, and the Low Emissions Analysis Platform (LEAP), an advanced system for energy optimization, scenario analysis, and addressing supply challenges enabling to establish a cohesive framework, effectively balancing energy demand management with bold decarbonization strategies. Artificial Intelligence (AI) further amplifies this approach, employing supervised Machine Learning (ML) techniques as AI's subset, particularly Multi Linear Regression (MLR), to forecast longterm activity levels trained on GDP and population dynamics labeled data leading to a near-perfect coefficient of determination (R2) of the association of 0.99. Simulation results highlight substantial advancements at the factory level, with annual specific energy consumption decreasing from 1255 kWh per employee to -341 kWh, effectively transforming the facility into a Positive Energy Factory (PEF). LEAP utilizes historical energy data (2005-2022), categorized by fuel type and activity level data, to generate detailed and precise projections. Transitioning away from fossil fuels, coupled with annual energy efficiency improvements of at least 1 % and integrating renewable energy systems such as photovoltaic (PV) to power electrical appliances and solar water

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