Potential assessment of optimizing energy structure in the city of carbon intensity target

Shibao Lu, Jianhua Wang, Yizi Shang, Haijun Bao and Huixiong Chen

Applied Energy, 2017, vol. 194, issue C, 765-773

Abstract: Optimizing energy structure to reduce carbon intensity is an effective way to build the low-carbon city development model. To assess the contribution potential of energy structure optimization in order to achieve the carbon intensity target in Hangzhou City, the component data prediction, scenario prediction, GMI (1, 1) model and other multidisciplinary approaches were adopted to predict the carbon intensity trends in the above said City from 2014 to 2020. This contribution potential is evaluated based on 9 kinds of combined scenarios. The results show that: 1. Under the same economic growth rate, with the increase in energy structure adjustment range, the carbon intensity “decline range” becomes larger, and the higher is the “contribution potential” of energy structure optimization to achieve the carbon intensity target. 2. Within the same range of energy structure optimization, the economic growth rate is lower, the carbon intensity “decline range” is smaller, and the “contribution potential” of energy structure optimization is higher for the same carbon intensity objective. By optimizing energy structure and industrial structures adjustment, the technology upgrading for carbon emissions and the scientific and technological level of the systematic industrial policies are more conducive to supporting the realization of low-carbon city.

Keywords: Energy structure; Carbon intensity target; Carbon emissions; Scenarios prediction; Regression analysis; Component data model; Hangzhou City (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (11)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:194:y:2017:i:c:p:765-773

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DOI: 10.1016/j.apenergy.2016.07.116

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