The multiple benefits of current and potential energy efficiency policies: A Scottish islands case study
The multiple benefits of current and potential energy efficiency policies: A Scottish islands case study
复制标题
当前和潜在能源效率政策的多重好处:苏格兰群岛案例研究
DOI:
10.1016/j.enpol.2024.114032
复制
发表时间:
2024
期刊:
影响因子:
9
通讯作者:
Matthew C
中科院分区:
文献类型:
--
作者:
Matthew C
Energy efficiency is essential for decarbonisation targets, but quantifying its multiple benefits remains difficult given heterogeneity of technologies, stakeholders, and interactions. This study uses a 100%-sample, hourly model to estimate electricity demand and economics for the Scottish islands by 2045. Scenarios of current and more ambitious policies for appliances, buildings, heating, transport and industry are compared. The framework allows assessment of annual demand, peak demand, and average household bills changes which could either increase or decrease depending on policy commitment. Although improving building efficiency can contribute, heat pumps have by far the greatest benefit in reducing bills, annual demand, and peak demand (both daily and maximum winter demand). Increased peak heating and vehicle demand highlights the importance of flexibility. Historic rates of policy achievement will result in significantly increased electricity demand, which could further stress already constrained networks. Although upfront costs are high, most measures have favourable rates of return and all have positive NPVs relative to current electricity prices. Policies to support these costs and distribute the benefits to households, businesses and the energy system will be crucial. As the model only considers changes in technologies, results are likely optimistic given potential rebound effects which could increase demand.
登录
查看更多内容
影响因子:
9
作者:
Sarah Royston;Jan Selby;E. Shove
通讯作者:
Sarah Royston;Jan Selby;E. Shove
影响因子:
6.7
作者:
S. Watson;K. Lomas;R. Buswell
通讯作者:
R. Buswell
影响因子:
6.7
作者:
Aven Satre;Jared Langevin
通讯作者:
Jared Langevin
DOI:
--
发表时间:
2011
期刊:
影响因子:
--
作者:
A. Pina;C. Silva;P. Ferrão
通讯作者:
P. Ferrão
影响因子:
3.2
作者:
Matthew C
通讯作者:
Matthew C