Coordinating the Dynamic Development of Energy and Industry in Composite Regions: An I-SDOP Analysis of the BTH Region

Xu Li, Chinhao Chong, Linwei Ma, Pei Liu, Xuesi Shen, Zibo Jia, Cheng Wang, Zheng Li and Weidou Ni
Additional contact information
Xu Li: State Key Laboratory of Power Systems, Department of Energy and Power Engineering, Tsinghua-BP Clean Energy Centre, Tsinghua University, Beijing 100084, China
Chinhao Chong: State Key Laboratory of Power Systems, Department of Energy and Power Engineering, Tsinghua-BP Clean Energy Centre, Tsinghua University, Beijing 100084, China
Linwei Ma: State Key Laboratory of Power Systems, Department of Energy and Power Engineering, Tsinghua-BP Clean Energy Centre, Tsinghua University, Beijing 100084, China
Pei Liu: State Key Laboratory of Power Systems, Department of Energy and Power Engineering, Tsinghua-BP Clean Energy Centre, Tsinghua University, Beijing 100084, China
Xuesi Shen: State Key Laboratory of Power Systems, Department of Energy and Power Engineering, Tsinghua-BP Clean Energy Centre, Tsinghua University, Beijing 100084, China
Zibo Jia: State Key Laboratory of Power Systems, Department of Energy and Power Engineering, Tsinghua-BP Clean Energy Centre, Tsinghua University, Beijing 100084, China
Cheng Wang: State Key Laboratory of Power Systems, Department of Energy and Power Engineering, Tsinghua-BP Clean Energy Centre, Tsinghua University, Beijing 100084, China
Zheng Li: State Key Laboratory of Power Systems, Department of Energy and Power Engineering, Tsinghua-BP Clean Energy Centre, Tsinghua University, Beijing 100084, China
Weidou Ni: State Key Laboratory of Power Systems, Department of Energy and Power Engineering, Tsinghua-BP Clean Energy Centre, Tsinghua University, Beijing 100084, China

Sustainability, 2018, vol. 10, issue 6, 1-28

Abstract: In various regions of the world, there is an urgent need to address energy challenges by accelerating the transformation of energy and industrial systems. The problem is quite complex in rapidly developing composite regions, with the necessity to coordinate the dynamic development of energy and industry in several heterogeneous subregions. Through a typical case study on the Beijing–Tianjin–Hebei (BTH) region, this study attempts to form a referable methodology for the coordinated development of energy and industry for the sustainable development of rapidly developing composite regions. The concept of an Integrated strategy of Sustainable development objectives, Decision-making systems, Operation systems, and Physical systems (I-SDOP) is proposed to describe the multilayer dynamics of complex energy and industrial systems. A five-step I-SDOP analysis is conducted to determine an integrated strategy for the coordinated development of energy and industry in the BTH region, based on the analysis of its sustainable development objectives, decision-making systems, operation systems, and physical systems. The results indicate the importance of innovation sources and extensive communications to promote market reform and engineering projects that fulfill the strong political wills and strategic plans of China’s central government.

Keywords: sustainable development; multilayer dynamics; coordinated development; energy; industry; composite region (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
https://www.mdpi.com/2071-1050/10/6/2093/pdf (application/pdf)
https://www.mdpi.com/2071-1050/10/6/2093/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:10:y:2018:i:6:p:2093-:d:153388

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().