Graphical optimization approach to carbon-constrained energy sector planning

SHI Xiaomei; LIAO Zuwei; WANG Jingdai; JIANG Binbo; YANG Yongrong

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Graphical optimization approach to carbon-constrained energy sector planning

更新时间：2025-12-10

- Graphical optimization approach to carbon-constrained energy sector planning
- CIESC Journal Issue 5, Pages: 1237-1244(2009)
- 作者机构：
  
  化学工程联合国家重点实验室，浙江大学化学工程与生物工程学系
- 作者简介：
- 基金信息：
- DOI：
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- Online First：05 May 2009，
  
  Published：05 May 2009
- 稿件说明：
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SHI Xiaomei, LIAO Zuwei, WANG Jingdai, et al. Graphical optimization approach to carbon-constrained energy sector planning[J]. CIESC Journal, 2009, (5): 1237-1244.
DOI：

SHI Xiaomei, LIAO Zuwei, WANG Jingdai, et al. Graphical optimization approach to carbon-constrained energy sector planning[J]. CIESC Journal, 2009, (5): 1237-1244. DOI：

摘要

能源系统是二氧化碳的主要排放源，因而能源的规划必须考虑CO2排放量的限制。本文采用图形方法合成了受碳排放限制的能源规划问题的总组合曲线，求得最小零碳能源目标，同时提出了与总组合曲线对应的组合表格算法，并将该图形和表格方法推广到多种清洁能源问题中。该方法不含迭代、试差步骤，在求解多种清洁能源问题时，可一步求得所有清洁能源的目标，比以往的方法更为简捷。爱尔兰电力部门的实例分析证明了该方法的有效性。

Abstract

In responding to the Kyoto Protocol

energy planning for greenhouse gas emissions reduction is crucial at both national and regional levels.This paper presents a new application of pinch analysis.A scenario is assumed wherein energy sector planning takes place with carbon emission constraints arising from an effort to reduce climate change effects.This work presents a graphical optimization method for energy sector planning with carbon emission constraints.A grand composite curve was constructed to determine the zero-carbon energy source line with minimum quantity.Meanwhile

the proposed approach can be accurately represented by the composite table algorithm and the targeting for the multi-source case can be obtained directly.

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