Capturing spatial effects, technology interactions, and uncertainty in urban energy and carbon models: Retrofitting newcastle as a case-study

详细信息	查看全文 | 推荐本文 |

• 作者：James Keirstead^a ; ^{j.keirstead@imperial.ac.uk} ; Carlos Calderon^b ; ^{carlos.calderon@ncl.ac.uk}
• 关键词：Urban energy systems ; Optimization ; Retrofit
• 刊名：Energy Policy
• 出版年：2012
• 期刊代码：15_03014215
• 类别：pw
• 出版时间：July, 2012
• 卷：46
• 期：Complete
• 页码：253-267
• 文件大小：1175 K

摘要

Local authorities often rely upon urban energy and carbon modelling tools to develop mitigation policies and strategies that will deliver reductions in greenhouse gas emissions. In this paper the UK example of Newcastle-upon-Tyne is used to critique current practice, noting that important features of urban energy systems are often omitted by bottom-up tools including interactions between technologies, spatial disaggregation of demand, and the ability to pursue over-arching policy goals like cost minimization. An alternative optimization-based approach is then described and applied to the Newcastle case, at the scale of both the whole city and the South Heaton district, and using Monte Carlo techniques to address policy uncertainty. The results show that this new method can help policy makers draw more robust policy conclusions, sensitive to spatial variations in energy demand and capturing the interactions between developments in the national energy system and local policy options. Further work should focus on improving our understanding of local building stocks and energy demands so as to better assess the potential of new technologies and policies.