Development of a system dynamics model for dioxin flow and its application to the energy sector

Dioxin pollution has been problematic in Taiwan. Although the government has established emission standards and emission inventory to control dioxin pollution, such efforts only apply to pollution emissions; no attempt has been made to understand the flow of dioxins in different environmental media....

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Main Authors: Chao-Heng Tseng, Ling-Ling Chen, Shang-Ming Su
Format: Article
Language:English
Published: Elsevier 2021-11-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844021024646
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author Chao-Heng Tseng
Ling-Ling Chen
Shang-Ming Su
author_facet Chao-Heng Tseng
Ling-Ling Chen
Shang-Ming Su
author_sort Chao-Heng Tseng
collection DOAJ
description Dioxin pollution has been problematic in Taiwan. Although the government has established emission standards and emission inventory to control dioxin pollution, such efforts only apply to pollution emissions; no attempt has been made to understand the flow of dioxins in different environmental media. In this study, the STELLA software was used to model the flow pattern of dioxins in various media. This model and the RAIDAR model established by the Canadian Environmental Model Research Center were used to simulate dioxin flow in Taiwan, and their results were compared with the measured values. The accuracies of the RAIDAR and STELLA models were 63.92% and 49.78%, respectively. This shows that the simulation with the STELLA model provided results closer to the measured values and that the error was less than ten times that of the RAIDAR model, indicating that the proposed model is predictive. In addition, we used the results of a system dynamics model for dioxin flow and an air resource co-benefits (ARCoB) model to apply the obtained results to the energy sector to quantify the co-benefits of reducing dioxin, greenhouse gas, and air pollutant emissions on the basis of the policy target for the year 2030. The total co-benefits of natural gas and renewable energy (RE) scenarios were US$9.63 billion and US$12.57 billion, respectively; the benefit-cost ratios were 2.89 and 20.67, respectively. The development of an RE policy as an alternative to a coal-fired power generation policy will contribute to the best co-benefits of integrated reductions and will also contribute to human health.
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spelling doaj.art-79802f9a411a4f7d8e545702d6c4289c2022-12-21T18:03:42ZengElsevierHeliyon2405-84402021-11-01711e08361Development of a system dynamics model for dioxin flow and its application to the energy sectorChao-Heng Tseng0Ling-Ling Chen1Shang-Ming Su2Institute of Environment Engineering and Management, National Taipei University of Technology, 1, Sec. 3, Zhongxiao E. Rd., Taipei 10608, TaiwanCorresponding author.; Institute of Environment Engineering and Management, National Taipei University of Technology, 1, Sec. 3, Zhongxiao E. Rd., Taipei 10608, TaiwanInstitute of Environment Engineering and Management, National Taipei University of Technology, 1, Sec. 3, Zhongxiao E. Rd., Taipei 10608, TaiwanDioxin pollution has been problematic in Taiwan. Although the government has established emission standards and emission inventory to control dioxin pollution, such efforts only apply to pollution emissions; no attempt has been made to understand the flow of dioxins in different environmental media. In this study, the STELLA software was used to model the flow pattern of dioxins in various media. This model and the RAIDAR model established by the Canadian Environmental Model Research Center were used to simulate dioxin flow in Taiwan, and their results were compared with the measured values. The accuracies of the RAIDAR and STELLA models were 63.92% and 49.78%, respectively. This shows that the simulation with the STELLA model provided results closer to the measured values and that the error was less than ten times that of the RAIDAR model, indicating that the proposed model is predictive. In addition, we used the results of a system dynamics model for dioxin flow and an air resource co-benefits (ARCoB) model to apply the obtained results to the energy sector to quantify the co-benefits of reducing dioxin, greenhouse gas, and air pollutant emissions on the basis of the policy target for the year 2030. The total co-benefits of natural gas and renewable energy (RE) scenarios were US$9.63 billion and US$12.57 billion, respectively; the benefit-cost ratios were 2.89 and 20.67, respectively. The development of an RE policy as an alternative to a coal-fired power generation policy will contribute to the best co-benefits of integrated reductions and will also contribute to human health.http://www.sciencedirect.com/science/article/pii/S2405844021024646System dynamics modelSTELLADioxin flowARCoB modelEnergy sectorCo-benefit
spellingShingle Chao-Heng Tseng
Ling-Ling Chen
Shang-Ming Su
Development of a system dynamics model for dioxin flow and its application to the energy sector
Heliyon
System dynamics model
STELLA
Dioxin flow
ARCoB model
Energy sector
Co-benefit
title Development of a system dynamics model for dioxin flow and its application to the energy sector
title_full Development of a system dynamics model for dioxin flow and its application to the energy sector
title_fullStr Development of a system dynamics model for dioxin flow and its application to the energy sector
title_full_unstemmed Development of a system dynamics model for dioxin flow and its application to the energy sector
title_short Development of a system dynamics model for dioxin flow and its application to the energy sector
title_sort development of a system dynamics model for dioxin flow and its application to the energy sector
topic System dynamics model
STELLA
Dioxin flow
ARCoB model
Energy sector
Co-benefit
url http://www.sciencedirect.com/science/article/pii/S2405844021024646
work_keys_str_mv AT chaohengtseng developmentofasystemdynamicsmodelfordioxinflowanditsapplicationtotheenergysector
AT linglingchen developmentofasystemdynamicsmodelfordioxinflowanditsapplicationtotheenergysector
AT shangmingsu developmentofasystemdynamicsmodelfordioxinflowanditsapplicationtotheenergysector