Assessing the implications of socioeconomic diversity for low carbon technology uptake in electrical distribution networks
Assessing the implications of socioeconomic diversity for low carbon technology uptake in electrical distribution networks
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DOI：
10.1016/j.apenergy.2017.07.089
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发表时间：
2018-01
期刊：
影响因子：
11.2
通讯作者：
R. McKenna;P. Djapic;J. Weinand;W. Fichtner;G. Strbac
中科院分区：
文献类型：
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作者：
R. McKenna;P. Djapic;J. Weinand;W. Fichtner;G. Strbac
充分考虑建筑层面的低碳技术（lct）与总体能源系统之间的相互作用，意味着捕获与住宅建筑中分散的热量和电力供应相关的粒度。本文将住宅/家庭原型（DHAs）与混合整数线性规划相结合，以生成单个住宅的最佳（最低成本）技术配置和运行计划。这些dha在英国的产出区水平上扩大到三个社会经济差异的邻里集群。综合配电网生成和仿真评估了不同LCT渗透场景下这些集群所需的网络升级成本。虽然这里的应用程序是在英国（UK）设置，但该方法主要基于免费提供的数据，因此可以高度转移到其他环境。结果表明，三种网络类型的升级成本存在显著差异，特别是半农村集群的升级成本要高得多。热泵与光伏（PV）的使用具有很强的协同效应，如果并行部署，可以大大降低网络升级和碳减排成本。确定的二氧化碳减排成本还表明，使用这两种技术的脱碳措施应侧重于半城市社区，因为与半农村情况相比，这两种技术的成本较低。这表明，这种社会经济差异化的配电网建模方法可以提供有用的能源政策见解。
Adequately accounting for interactions between Low Carbon Technologies (LCTs) at the building level and the overarching energy system means capturing the granularity associated with decentralised heat and power supply in residential buildings. This paper combines dwelling/household archetypes (DHAs) combined with a mixed integer linear program to generate optimal (minimum cost) technology configurations and operation schedules for individual dwellings. These DHAs are scaled up to three socioeconomically differentiated neighbourhood clusters at the Output Area level in the UK. A synthetic distribution network generation and simulation assesses the required network upgrade costs for these clusters with different LCT penetration scenarios. Whilst the application here is to the United Kingdom (UK) setting, the method is largely based on freely available data and is therefore highly transferable to other contexts. The results show significant differences between the upgrade costs of the three analysed network types, and especially the semi-rural cluster has much higher costs. The employment of heat pumps together with photovoltaics (PV) has strong synergy effects, which can considerably reduce the network upgrade and carbon abatement costs if deployed in parallel. The determined CO2-abatement costs also suggest that decarbonisation measures with these two technologies should focus on semi-urban neighbourhoods due to the lower cost in comparison to the semi-rural case. This shows that such a socioeconomically differentiated approach to distribution network modelling can provide useful energy policy insights.