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Ecodesign of ground-mounted photovoltaic power plants: Economic and environmental multi-objective optimization

机译:地顶式光伏发电厂的效果:经济环境多目标优化

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Photovoltaic (PV) power is emission-free during operation. However, its life-cycle environmental impacts should be accounted for during the design phase. This paper presents the first methodology to calculate the product environmental footprint (PEF) and the levelized cost of electricity (LCOE) based on a unified technical modeling framework of ground-mounted, grid-connected PV power plants. To test the model, we determined the singleand multiobjective optima of 8 main balance-of-system design parameters applying a genetic algorithm for a case study of two geographical locations with distinct solar resources. Results show that impacts can be reduced by 1-13% in each of the 16 different PEF environmental impact categories. Unfortunately, the different types of impacts cannot be reduced simultaneously with a single design solution, calling for the use of a weighted environmental footprint as the most favorable single-score environmental indicator. Pareto-optimal design solutions for multiple objectives show that increasing the AC/DC ratio, row distance, tilt angle, and cable losses compared to the economic optimum is beneficial for carbon and environmental footprint reduction. By accepting a small cost increase, the majority of the potential impact reduction can be achieved. Trade-offs between economic and environmental objectives are analyzed by assigning a price tag to environmental impacts. Based on the proposed weighting scheme, regions with polluting electricity production mix should choose the most profitable plant design for the largest environmental benefit. In other places eco-design could lead to a 1% overall impact reduction for just 0.1% extra cost. Balancing power requirements, copper recycling scenarios, the uncertainty of ecological impacts, and combined land use are identified as future research areas. (C) 2020 The Author(s). Published by Elsevier Ltd.
机译:在操作期间,光伏(PV)功率是无排放的。但是,在设计阶段,应考虑其生命周期的环境影响。本文基于统一的电网连接的光伏发电厂的统一技术建模框架,提供了计算产品环境足迹(PEF)和电力(LCoE)的调整成本的第一种方法。为了测试模型,我们确定了应用遗传算法的8个主要的系统设计参数的Singleand多目标优值,以便研究两个具有不同太阳能资源的两个地理位置。结果表明,在16种不同PEF环境影响类别中的每一个中,影响可以减少1-13%。不幸的是,不同类型的影响不能与单个设计解决方案同时进行减少,呼叫使用加权环境足迹作为最有利的单一评分环境指标。帕累托 - 多目标的最佳设计解决方案表明,与经济最优相比,增加了AC / DC比率,行距离,倾斜角和电缆损失是有利于碳和环境足迹的有益。通过接受小的成本增加,大部分潜在的影响降低可以实现。通过将价格标签分配给环境影响,分析经济和环境目标之间的权衡。基于所提出的加权方案,污染电力生产组合的地区应选择最有利可图的植物设计,以获得最大的环境效益。在其他地区,生态设计可能导致额外费用仅为0.1%的整体影响1%。平衡功率要求,铜回收方案,生态影响的不确定性以及结合土地使用被确定为未来的研究领域。 (c)2020提交人。 elsevier有限公司出版

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