利用資源-能源-水的聯繫來實現紡織工業的可持續生產和供應鏈優化

製造業通過為當地消費者生產獨特的產品並通過出口創收，對經濟發展產生了重大影響。紡織工業一直是一個有利可圖的行業，近幾十年來時裝業的興起已使其重要性日益提高。但是，棉花年產量下降，電力中斷和缺乏足夠的水，以及全球氣候變化和人口增長的挑戰，已經影響了該行業，特別是發展中國家的行業。因此，紡織工業的穩定性取決於所需的自然資源的可持續性，包括原材料（棉花），能源和水。通過採用系統動力學方法，本研究開發了一種資源-能源-水（REW），一種綜合模型，用於基於這些參數之間的相互聯繫來探索可能的解決方案。此外，本研究認識並全面分析了棉花作物廢料作為生物能源和生物燃料生產的潛在來源的應用。結果證實，聯繫的所有組成部分之間存在雙重關係，可以加快日常紡織品生產目標的管理。不確定性分析表明，能源和水的需求比原材料（棉花）更難預測。結果還表明，棉農作物廢料是紡織工業可持續能源供應的有利和便捷來源。在所有提出的能源轉換技術中，燃油加熱器和有機朗肯循環技術的效率均低於其他技術，NPV分析支持對所有這些技術的投資決策。這項研究的結果和意義可以通過鼓勵工業界將可再生能源和可重複利用的廢水處理技術納入其中，從而為政策制定者和監管機構修改紡織品政策提供支持。其他製造業也可以採用該關係以實現工業和環境的可持續性.

關鍵字

不確定性分析；系統動力學；可持續消費和生產；可持續能源供應鏈；線性優化

並列摘要

The manufacturing industry has a significant impact on the economic development by producing unique products for the local consumers and generating income through exports. The textile industry has always been a profitable industry, and the spike of the fashion industry in the recent decades has increased its importance. However, a decline in annual cotton production, power outages and lack of sufficient water, along with global climate change and population growth challenges have affected the industry particularly the industries in the developing countries. By adopting the system dynamics approach, this research has developed a resource-energy-water (REW), a comprehensive model to explore possible solutions based on the interconnection between these parameters. In addition, this study recognizes and comprehensively analyzes the application of cotton crop waste as a potential source of bioenergy and biofuel production. The results validate that there is dual relationship between all the components of the nexus, which can expedite the management of daily textile production goals. Uncertainty analysis shows that energy and water demand are more difficult to predict than the raw material (cotton). The results also indicate that cotton crop waste is a conducive and convenient source of sustainable energy supply for the textile industry. Out of all proposed energy conversion technologies, oil heater and organic rankin cycle technology is less efficient over other and the NPV analysis supports the investment decision into all of these technologies. The results and implications of this study can serve as a support for policy makers and regulators to modify textile policy by providing incentives to industry to incorporate renewable energy and re-useable wastewater technologies. The nexus can also be adopted by other manufacturing industries for industrial and environmental sustainability

並列關鍵字

Sustainable energy supply chain ； Uncertainty analysis ； Systems dynamics ； Sustainable consumption and production ； Linear optimization

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