A study on end of life photovoltaics as a model for developing industrial synergistic networks
A study on end of life photovoltaics as a model for developing industrial synergistic networks
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DOI：
10.1007/s13243-022-00111-y
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发表时间：
2022-04
影响因子：
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通讯作者：
N. Mathur;J. Sutherland;S. Singh
中科院分区：
文献类型：
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作者：
N. Mathur;J. Sutherland;S. Singh
工业共生网络（ISNs）可以通过利用工业废物和副产品作为资源，支持从传统的线性经济向循环经济的过渡。然而，由于信息有限（供应、需求、潜在的协同作用等），互联网服务号的早期设计和开发阶段充满了挑战，以及需要考虑相互冲突的可持续性目标。ISN的发展是一个组合问题，可以表示为多目标优化（MOO）模型，其解决方案可以帮助从业者在早期决策和识别适当的工业协同合作伙伴。受利益相关者之间的自我组织的原则，以进一步可持续发展的启发，ISN通过应用混合MOO的方法来解决在亚利桑那州的寿命结束光伏（PV）模块已经建模。混合MOO方法能够平衡可持续发展目标，同时战略性地分配材料，使资源不会被填埋。由此产生的ISN与替代的ISN配置产生不同的情况下进行比较。例如，简单地填埋EoL PV可能导致近300万美元的经济损失和重大的环境负担（约2.7万吨CO2当量）。相比之下，完全消耗回收材料的ISN可节省5300万美元的成本，并避免1.8万吨二氧化碳当量的环境影响。进行了敏感性分析，以考虑到与填埋和仓储成本有关的不确定性以及协同伙伴之间的距离。
Industrial symbiotic networks (ISNs) can support the transition from a conventional linear economy to a circular economy by using industrial waste and by-products as resources. However, the early design and development stages of ISNs are fraught with challenges as a result of limited information (supply, demand, potential synergies, etc.), and the need to consider conflicting sustainability objectives. ISN development is a combinatorial problem and can be expressed as a Multi Objective Optimization (MOO) model, the solution of which can aid practitioners in early decision-making and the identification of appropriate industrial synergistic partners. Inspired by the principles of self-organization among stakeholders to further sustainability, an ISN resulting by applying a hybrid MOO approach to tackle end of life photovoltaic (PV) modules in Arizona has been modeled. The hybrid MOO method is capable of balancing the sustainability objectives, while allocating material strategically such that resources do not get landfilled. The resulting ISN is compared with alternate ISN configurations arising from different scenarios. For instance, simply landfilling EoL PVs can result in economic losses of close to 3 million USD and a significant environmental burden (~27 thousand ton CO2eq). In contrast, an ISN where recovered material is consumed completely results in cost savings of 53 million USD and avoided environmental impacts of 18 thousand-ton CO2eq. Sensitivity analyses to account for the uncertainty related to landfilling and warehousing costs, and the distances between synergistic partners have been undertaken.