Dynamic Integrated Resource Strategic Planning Model: A Case Study of China’s Power Sector Planning into 2050

This paper proposes a Dynamic Integrated Resource Strategic Planning (DIRSP) model based on a semi-Markov decision-making process. Considering the policy transfer probability matrix, we discuss the influence of different policy portfolios and input intensity on the timing and scale of low-carbon tra...

Full description

Bibliographic Details
Main Authors: Yan Xu, Jiahai Yuan, Huiming Xu
Format: Article
Language:English
Published: MDPI AG 2017-07-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/9/7/1177
id doaj-572ab7b61ebf4c7d8f2cb1e61c8edfed
record_format Article
spelling doaj-572ab7b61ebf4c7d8f2cb1e61c8edfed2020-11-25T00:40:16ZengMDPI AGSustainability2071-10502017-07-0197117710.3390/su9071177su9071177Dynamic Integrated Resource Strategic Planning Model: A Case Study of China’s Power Sector Planning into 2050Yan Xu0Jiahai Yuan1Huiming Xu2School of Management Science and Engineering, Shanxi University of Finance and Economics, Shanxi 030006, ChinaSchool of Economics and Management, North China Electric Power University, Beijing 102206, ChinaState Grid Information Centre/State Grid Information & Telecommunication Co., Ltd., Beijing 100761, ChinaThis paper proposes a Dynamic Integrated Resource Strategic Planning (DIRSP) model based on a semi-Markov decision-making process. Considering the policy transfer probability matrix, we discuss the influence of different policy portfolios and input intensity on the timing and scale of low-carbon transition during the power planning process. In addition, we discuss various planning scenarios from a socio-technical system transition perspective. Scenarios are compiled to compare the pathways of power planning in China during 2015–2050 under different policies, including a typical reproduction pathway with unchanged policy that maintains the original coal-dominated technology pathway, a de-alignment/re-alignment pathway where renewable energy power technologies develop from niches to mainstream while the planning time for peak coal power moves ahead in 10–20 years due to subsidies to renewable and carbon tax policy, and the substitution and reconfiguration pathways in which renewable energy technologies compete with coal power in parallel, in which coal power will peak by 2020 while wind power and solar power will realize large-scale development by 2020 and 2030, respectively. Case study on power planning in China indicates that the methodology proposed in our study can enhance our understanding on the low-carbon transition process and the interaction between energy policy and transition pathway.https://www.mdpi.com/2071-1050/9/7/1177DIRSP modelpolicy portfoliospower planning scenarioChina
collection DOAJ
language English
format Article
sources DOAJ
author Yan Xu
Jiahai Yuan
Huiming Xu
spellingShingle Yan Xu
Jiahai Yuan
Huiming Xu
Dynamic Integrated Resource Strategic Planning Model: A Case Study of China’s Power Sector Planning into 2050
Sustainability
DIRSP model
policy portfolios
power planning scenario
China
author_facet Yan Xu
Jiahai Yuan
Huiming Xu
author_sort Yan Xu
title Dynamic Integrated Resource Strategic Planning Model: A Case Study of China’s Power Sector Planning into 2050
title_short Dynamic Integrated Resource Strategic Planning Model: A Case Study of China’s Power Sector Planning into 2050
title_full Dynamic Integrated Resource Strategic Planning Model: A Case Study of China’s Power Sector Planning into 2050
title_fullStr Dynamic Integrated Resource Strategic Planning Model: A Case Study of China’s Power Sector Planning into 2050
title_full_unstemmed Dynamic Integrated Resource Strategic Planning Model: A Case Study of China’s Power Sector Planning into 2050
title_sort dynamic integrated resource strategic planning model: a case study of china’s power sector planning into 2050
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2017-07-01
description This paper proposes a Dynamic Integrated Resource Strategic Planning (DIRSP) model based on a semi-Markov decision-making process. Considering the policy transfer probability matrix, we discuss the influence of different policy portfolios and input intensity on the timing and scale of low-carbon transition during the power planning process. In addition, we discuss various planning scenarios from a socio-technical system transition perspective. Scenarios are compiled to compare the pathways of power planning in China during 2015–2050 under different policies, including a typical reproduction pathway with unchanged policy that maintains the original coal-dominated technology pathway, a de-alignment/re-alignment pathway where renewable energy power technologies develop from niches to mainstream while the planning time for peak coal power moves ahead in 10–20 years due to subsidies to renewable and carbon tax policy, and the substitution and reconfiguration pathways in which renewable energy technologies compete with coal power in parallel, in which coal power will peak by 2020 while wind power and solar power will realize large-scale development by 2020 and 2030, respectively. Case study on power planning in China indicates that the methodology proposed in our study can enhance our understanding on the low-carbon transition process and the interaction between energy policy and transition pathway.
topic DIRSP model
policy portfolios
power planning scenario
China
url https://www.mdpi.com/2071-1050/9/7/1177
work_keys_str_mv AT yanxu dynamicintegratedresourcestrategicplanningmodelacasestudyofchinaspowersectorplanninginto2050
AT jiahaiyuan dynamicintegratedresourcestrategicplanningmodelacasestudyofchinaspowersectorplanninginto2050
AT huimingxu dynamicintegratedresourcestrategicplanningmodelacasestudyofchinaspowersectorplanninginto2050
_version_ 1725291239776976896