4.6 Article

Exploring Greenhouse Gas-Mitigation Strategies in Chinese Eco-Industrial Parks by Targeting Energy Infrastructure Stocks

期刊

JOURNAL OF INDUSTRIAL ECOLOGY
卷 22, 期 1, 页码 106-120

出版社

WILEY
DOI: 10.1111/jiec.12542

关键词

China; eco-industrial park; energy infrastructure stock; greenhouse gas; industrial ecology; industrial park infrastructure

资金

  1. National Natural Science Foundation in China [41471468, 41671530]
  2. US National Science Foundation, Partnerships for International Research and Education Program [1243535]
  3. Beijing Environment Foundation for Young Talents, Green Seedling Plan project

向作者/读者索取更多资源

China has more than 1,500 industrial parks, which, collectively, play a crucial role in facilitating industrialization and urbanization. A key characteristic of these parks is that most rely on shareable energy infrastructure, an efficient configuration that can also deliver substantial and sustainable reductions in greenhouse gas (GHG) emissions. This study offers strategies for mitigating GHG emissions from Chinese industrial parks. We focus on extensive data collection for the 106 industrial parks listed in the national demonstration eco-industrial park (EIP) program. In doing so, we carefully examine the evolution of 608 serviceable energy infrastructure units by vintage year, fuel type, energy output, and technologies of combined heat and power units. We assess direct GHG emissions from both energy infrastructure and the parks, and then identify the features and driving forces of energy infrastructure development in the EIPs. We also offer recommendations for ways to mitigate the GHG emissions from these industrial parks. The energy infrastructure stocks in Chinese EIPs are characterized by heavy coal dependence (87% of capacity) and high ratios of direct GHG emissions versus the total direct emissions of the park (median value: 75.2%). These findings establish a baseline from which both technology and policy decisions can then be made in an informed way.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据