Process Integration Approaches to Planning Carbon Management Networks

Dominic C. Y. Foo, Raymond R. Tan

• Publisher: CRC Press
• Year: 2020
• ISBN:
  9781351170864
• Edition: 1
• Topic: Physical Sciences
• Subtopic: Industrial & Technical Chemistry

Process Integration Approaches to Planning Carbon Management Networks provides a comprehensive treatment of carbon emissions pinch analysis (CEPA), covering the fundamentals as well as more advanced variants based on mathematical programming. A significant portion of the book is dedicated to case studies that provide a range of examples to demonstrate how CEPA can be applied to practical energy planning problems. Selected chapters also include electronic supplements (e.g., spreadsheet templates and software code) to aid the reader in applying these methods to new sets of data. This book is ideal for academic researchers and graduate students interested in carbon-constrained energy planning models and applications.

This book

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• Provides essential information on CEPA and mathematical programming

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• Gives illustrative examples and case studies drawn from contemporary climatic issues

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• Covers state-of-the-art methodological developments

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• Discusses about applications in various countries

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• Offers additional support through supplementary spreadsheet templates and software code

Professor Dominic Foo is a professor of process design and integration at the University of Nottingham Malaysia. He is a fellow of the Institution of Chemical Engineers, a fellow of the Academy of Science Malaysia, a chartered engineer with the UK Engineering Council, and a professional engineer with the Board of Engineers Malaysia. He works on process integration for resource conservation and CO2 reduction, with more than 400 published works. Prof. Foo is the co-editor-in-chief for Process Integration and Optimization for Sustainability, subject editor for Process Safety & Environmental Protection, and an editorial board member for several other renowned journals.

Raymond R. Tan is a professor of chemical engineering and university fellow at De La Salle University, Philippines. He is also a member of the National Academy of Science and Technology of the Philippines. His main areas of research are process systems engineering and process integration, where he has over 300 published works. Prof. Tan received his BS and MS degrees in chemical engineering and PhD in mechanical engineering from De La Salle University. He is also a co-editor-in-chief of Process Integration and Optimization for Sustainability, subject editor of Sustainable Production and Consumption, and an editorial board member of Clean Technologies and Environmental Policy.

Part B

Applications of Carbon Management Networks

6

Applications of Carbon Emission Pinch Analysis (CEPA) for China

Jia Xiaoping

Qingdao University of Science and Technology

Li Zhiwei

University of the Witwatersrand

Wang Fang

Qingdao University of Science and Technology

This chapter outlines how CEPA and its extensions serve as adequate tools for practical energy planning problems and municipal solid waste (MSW) management in China. Both applications of existing CEPA knowledge and newly developed ideas will be introduced.

6.1 Overview

For nearly three decades, Chinese society and the environment have been undergoing rapid and drastic changes. The term “ecological civilization” is becoming increasingly important in the global discourse, especially in China (Greene, 2017). These changes will have dramatic effects on economic development and its interactions with resources and environmental issues, such as energy, water, and emissions to air and water. Wang et al. (2019) projected that China’s total emissions from fossil fuel and industrial processes will peak at 13–16 Gt/y CO₂ ahead of year 2030, based on the data from 50 Chinese cities. As the largest carbon emitter in the world, China’s carbon management is of great significance to sustainable growth and global climate efforts.

Pinch analysis was originally developed as a systematic approach for optimizing energy use in the industry, by taking into account thermodynamic principles (Linnhoff et al., 1982). Tan and Foo (2007) first extended the use of pinch analysis into energy sector planning with carbon emission constraint. This method is now known as CEPA, and has been applied to many nations, including Ireland, New Zealand, the United States, and China. These applications are surveyed in a review paper (Foo and Tan, 2016). The first Chinese paper of CEPA was published by Jia et al. (2009), who performed carbon-constrained energy planning in a chemical industrial park, following the framework proposed by Tan and Foo (2007). From then on, researchers in China have played a key role in expanding the application of CEPA to different industrial sectors and at different scales. The reports of CEPA may be categorized as follows.

• Articles in Chinese journals
  According to a detailed literature survey, there are ten journal papers and two master’s degree dissertations published in Chinese between 2009 and 2019. Most of these papers focused on the applications of CEPA to energy sector planning at different scales, i.e. building area, regional, provincial, and national levels. The list of selected cases where CEPA approaches have been used in different scales is shown in Table 6.1. All of these works were based on the method developed by Tan and Foo (2007) and later extended by Jia et al. (2009).

  TABLE 6.1
  CEPA-Related Work in China Published in Chinese Journals (2009–2019)

  Year	Sector	Scale	Contributions	References
  2009	Energy	Industrial park	First CEPA paper in China; Carbon constrained energy planning in a chemical industrial park	Jia et al. (2009)
  2011	Energy	Community building area	Renewable energy planning in building areas	Zhang and Long (2011)
  2012	Energy	Regional	Regional ene...

Table of contents

• Cover
• Half Title
• Series Page
• Title Page
• Copyright Page
• Dedication
• Table of Contents
• Preface
• Authors
• Part A Basic Methodology for Carbon Management Networks
• Part B Applications of Carbon Management Networks
• Index