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首页> 外文期刊>Journal of Cleaner Production >Modelling of environmental emission in Kenyan, Rwandan, and Tanzanian electrical power systems
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Modelling of environmental emission in Kenyan, Rwandan, and Tanzanian electrical power systems

机译：肯尼亚，卢旺达和坦桑尼电力系统环境排放的建模

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There is limited information on environmental emissions in African grid electricity generation and transmission systems, especially from the sub-Saharan African countries. The developed parameters are useful for evaluating the extent to which grid electricity generation and transmission system drivers are designed and operated in the context of environmental governance (EG) factors. The environmental pressure caused by the studied power systems was evaluated in terms of carbon emission levels. To simplify the study, variable parameters were sampled from the national power grids of three sub-Saharan countries, namely: Kenya, Rwanda, and Tanzania. The developed inventory workbooks accounted for the residual carbon emissions related to the grid generation and transmission capacity survival lifetime, retired system capacity, and recycling rate, aiming to reduce the uncertainty in grid emissions in the study area. The obtained area of the curve for the business as usual and EG models reveals that Rwanda has the potential to contribute more emissions per unit power, followed by Tanzania and Kenya. The higher carbon emission uncertainty levels (65%-75%) obtained from the EG simuland and life cycle carbon emissions revealed that only limited EG factors were considered during the design and operation of the studied grid electricity generation and transmission systems. However, the possibility of significant lifetime decarbonisation performances from generation and transmission systems was also shown in the EG-modelled output, owing to its lower carbon emission uncertainty levels (15%-25%). The logarithmic regression trend lines presented by this research show a higher R2 value for the EG modelled life cycle carbon emission (LCCE) output (R2 = 0.8689) and EG simuland LCCE output (R2 = 0.9209), compared to EG modelled LCCE output (R2 = 0.7526) and EG simuland LCCE output (R2 = 0.8223) obtained from the linear regression trend lines, implying a very good relationship between the structural assumptions and simplifications constituting the model itself for case studied by the year 2049. The study suggests monitoring of a wide range of environmental parameters (apart from carbon) and associated energy storage technologies, considering both cumulative data and expanded systems.
机译：有关非洲电网发电和传输系统的环境排放的信息有限，特别是来自撒哈拉以南非洲国家。开发参数可用于评估电网发电和传输系统驱动器在环境治理（例如）因素的背景下设计和操作的程度。根据碳排放水平评估由研究的电力系统引起的环境压力。为了简化研究，从三个撒哈拉国家的国家电网采样，可变参数，即：肯尼亚，卢旺达和坦桑尼亚。开发的库存工作簿占与网格生成和传输容量生存寿命，退休系统容量和回收率相关的残留碳排放，旨在减少研究区域网格排放的不确定性。像往常一样，为业务的曲线获得的面积，例如模型表明，卢旺达有可能为每单位权力提供更多的排放，其次是坦桑尼亚和肯尼亚。从例如Simuland和生命周期的碳排放中获得的额高碳排放不确定水平（65％-75％）显示，在研究和操作的设计和操作期间，仅考虑了有限的例如因素的因素。然而，由于其较低的碳排放不确定性水平（15％-25％），在例如模型输出中也显示出来自生成和传输系统的显着终碳酸脱碳性能的可能性。本研究呈现的对数回归趋势线显示了例如建模的生命周期碳发射（LCCE）输出（R2 = 0.8689）的R2值，例如，与例如建模的LCCE输出相比，例如Simuland LCCE输出（R2 = 0.9209）（R2 = 0.7526），例如从线性回归趋势线获得的Simuland LCCE输出（R2 = 0.8223），暗示了在2049年学习的案例中构成模型本身的结构假设和简化之间的非常好的关系。该研究表明了监测A考虑到累积数据和扩展系统，广泛的环境参数（除碳）和相关的能量存储技术以及相关的能量存储技术。

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