Next Article in Journal
Fast Removal of Polybrominated Diphenyl Ethers from Aqueous Solutions by Using Low-Cost Adsorbents
Next Article in Special Issue
The Green Experiment: Cities, Green Stormwater Infrastructure, and Sustainability
Previous Article in Journal
Sprinkling: An Approach to Describe Urbanization Dynamics in Italy
Previous Article in Special Issue
Discerning and Addressing Environmental Failures in Policy Scenarios Using Planning Support System (PSS) Technologies
Article Menu
Issue 1 (January) cover image

Export Article

Open AccessArticle
Sustainability 2017, 9(1), 104; doi:10.3390/su9010104

Spatial Configuration of Energy Consumption and Carbon Emissions of Shanghai, and Our Policy Suggestions

1,†
,
2,†,* , 1,†,* and 3
1
Fudan University Energy Research Center, School of Social Development and Public Policy, Fudan University, Shanghai 200433, China
2
Shanghai Academy of Fine Arts, Shanghai University, Shanghai 200444, China
3
School of Architecture, Tsinghua University, Beijing 100084, China
These authors contributed equally to this work.
*
Authors to whom correspondence should be addressed.
Academic Editor: Brian Deal
Received: 30 November 2016 / Revised: 28 December 2016 / Accepted: 4 January 2017 / Published: 12 January 2017
(This article belongs to the Special Issue Urban Sustainability and Planning Support Systems)
View Full-Text   |   Download PDF [3746 KB, uploaded 12 January 2017]   |  

Abstract

This research constructs a 1 km × 1 km Shanghai energy consumption and carbon emission spatial grid through a bottom-up approach. First, we locate all energy consumption locations in Shanghai via GIS. Second, we calculate energy consumption and associated CO2 emissions by energy type, by usage type, and by facilities. Finally, we use a spatial grid to represent the energy consumption and CO2 emissions. The grid shows CO2 emissions in Shanghai are highly spatially correlated with energy types and volumes of consumption. This research also finds out that high energy consumption and carbon emission locations in Shanghai display significant spatial aggregation. In 7209 spatial energy consumption cells, the top 10 grids of emissions account for 52.8% of total CO2 emissions in Shanghai; the top 20 grids account for 64.5% and the top 50 grids account for 76.5%. The most critical point emission sources are coal-fired power plants and iron and steel plants. The most important line emission sources are the Yan’an Road and Inner Ring viaducts. The area emission sources that account for the most future-projected growth are commercial and residential natural gas. After this spatial analysis, this paper makes policy suggestions and solutions to conserve energy consumption and mitigate carbon emissions in Shanghai. View Full-Text
Keywords: energy; carbon emissions; spatial grid; Shanghai; policy decision support systems energy; carbon emissions; spatial grid; Shanghai; policy decision support systems
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Pan, K.; Li, Y.; Zhu, H.; Dang, A. Spatial Configuration of Energy Consumption and Carbon Emissions of Shanghai, and Our Policy Suggestions. Sustainability 2017, 9, 104.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sustainability EISSN 2071-1050 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top