Supply-demand bilateral energy structure optimization and carbon emission reduction in Shandong rural areas based on long-range energy alternatives planning model

To solve the problem of large carbon emissions in rural area, this paper conducts field research in rural areas of Shandong and embarks on supply-demand bilateral energy structure optimization which combines local resource endowments, the latest rural energy application technologies and energy consu...

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Main Authors: Jing Wang, Mohan Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Environmental Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fenvs.2022.1009276/full
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author Jing Wang
Jing Wang
Mohan Liu
author_facet Jing Wang
Jing Wang
Mohan Liu
author_sort Jing Wang
collection DOAJ
description To solve the problem of large carbon emissions in rural area, this paper conducts field research in rural areas of Shandong and embarks on supply-demand bilateral energy structure optimization which combines local resource endowments, the latest rural energy application technologies and energy consumption preference. The study uses long-range energy alternatives planning (LEAP) model to analyze the trend of energy consumption and CO2 emission from 2020 to 2050 under four different scenarios. The results of Tanzhuang show that residents in rural areas still rely on traditional biomass for energy consumption, especially for winter heating. Energy structure optimization has a significant impact on energy saving and emission reduction. Energy consumption and generation are projected steadily up to 2050 under all scenarios while the carbon emissions show a downward trend with a rapid decline from 2021 to 2030 and a relatively stable state for the next 20 years. Combining policy advancement and marginal carbon abatement cost (MACC) of different energy technologies, energy structure optimization-low cost (ESO-LOW) scenario shows a higher emission reduction benefits than the others. Six other villages in Shandong are analyzed in order to demonstrate the effectiveness of supply-demand bilateral energy structure optimization, sensitivity results show that the optimization is significant to the carbon neutrality target and carbon emission reduction.
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spelling doaj.art-df169582ac8347a687d14f993c9f87fb2022-12-22T03:37:15ZengFrontiers Media S.A.Frontiers in Environmental Science2296-665X2022-10-011010.3389/fenvs.2022.10092761009276Supply-demand bilateral energy structure optimization and carbon emission reduction in Shandong rural areas based on long-range energy alternatives planning modelJing Wang0Jing Wang1Mohan Liu2Institute of Finance and Economics Research, Shanghai University of Finance and Economics, Shanghai, ChinaInstitute for Yangtze River Delta and Yangtze River Economic Belt Development, Shanghai University of Finance and Economics, Shanghai, ChinaInstitute of Finance and Economics Research, Shanghai University of Finance and Economics, Shanghai, ChinaTo solve the problem of large carbon emissions in rural area, this paper conducts field research in rural areas of Shandong and embarks on supply-demand bilateral energy structure optimization which combines local resource endowments, the latest rural energy application technologies and energy consumption preference. The study uses long-range energy alternatives planning (LEAP) model to analyze the trend of energy consumption and CO2 emission from 2020 to 2050 under four different scenarios. The results of Tanzhuang show that residents in rural areas still rely on traditional biomass for energy consumption, especially for winter heating. Energy structure optimization has a significant impact on energy saving and emission reduction. Energy consumption and generation are projected steadily up to 2050 under all scenarios while the carbon emissions show a downward trend with a rapid decline from 2021 to 2030 and a relatively stable state for the next 20 years. Combining policy advancement and marginal carbon abatement cost (MACC) of different energy technologies, energy structure optimization-low cost (ESO-LOW) scenario shows a higher emission reduction benefits than the others. Six other villages in Shandong are analyzed in order to demonstrate the effectiveness of supply-demand bilateral energy structure optimization, sensitivity results show that the optimization is significant to the carbon neutrality target and carbon emission reduction.https://www.frontiersin.org/articles/10.3389/fenvs.2022.1009276/fullLEAP modelShandong rural areassupply-demand bilateral energy structure optimizationMACCcarbon emission reduction
spellingShingle Jing Wang
Jing Wang
Mohan Liu
Supply-demand bilateral energy structure optimization and carbon emission reduction in Shandong rural areas based on long-range energy alternatives planning model
Frontiers in Environmental Science
LEAP model
Shandong rural areas
supply-demand bilateral energy structure optimization
MACC
carbon emission reduction
title Supply-demand bilateral energy structure optimization and carbon emission reduction in Shandong rural areas based on long-range energy alternatives planning model
title_full Supply-demand bilateral energy structure optimization and carbon emission reduction in Shandong rural areas based on long-range energy alternatives planning model
title_fullStr Supply-demand bilateral energy structure optimization and carbon emission reduction in Shandong rural areas based on long-range energy alternatives planning model
title_full_unstemmed Supply-demand bilateral energy structure optimization and carbon emission reduction in Shandong rural areas based on long-range energy alternatives planning model
title_short Supply-demand bilateral energy structure optimization and carbon emission reduction in Shandong rural areas based on long-range energy alternatives planning model
title_sort supply demand bilateral energy structure optimization and carbon emission reduction in shandong rural areas based on long range energy alternatives planning model
topic LEAP model
Shandong rural areas
supply-demand bilateral energy structure optimization
MACC
carbon emission reduction
url https://www.frontiersin.org/articles/10.3389/fenvs.2022.1009276/full
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AT jingwang supplydemandbilateralenergystructureoptimizationandcarbonemissionreductioninshandongruralareasbasedonlongrangeenergyalternativesplanningmodel
AT mohanliu supplydemandbilateralenergystructureoptimizationandcarbonemissionreductioninshandongruralareasbasedonlongrangeenergyalternativesplanningmodel