Sectoral energy efficiency improvements in Taiwan: Evaluations using a hybrid of top-down and bottom-up models

Wu, Yihua; Liu, Chia-Hao; Hung, Ming-Lung; Liu, Tzu-Yar; Masui, Toshihiko

doi:10.1016/j.enpol.2019.06.043

Cited by 21 publications

(7 citation statements)

References 28 publications

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“…Soft-linking and hard-linking approaches build upon pre-existing TD and BU models, and provide more transparency and flexibility. They have been applied to low-carbon transition analysis all over the world (Anderson et al, 2011;Fortes et al, 2013;Fujimori et al, 2019;Krook-Riekkola et al, 2017;Soummane et al, 2019;Wu et al, 2019). However, they may leave unresolved some inconsistencies between the two linked models.…”

Section: Literature Reviewmentioning

confidence: 99%

The economic impact of a deep decarbonisation pathway for China: a hybrid model analysis through bottom-up and top-down linking

Ghersi

Teng

et al. 2021

Mitig Adapt Strateg Glob Change

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The development of mid-century low-emission development strategies is critical to guiding national actions on long-term mitigation. One of the key concerns in developing mitigation strategies is the cost of low-carbon transition. In this study, we estimate the macroeconomic cost of a deep decarbonisation pathway for China, by integrating an energy-systems optimization model with an economic model through hard linking. Our results indicate that deep decarbonisation increases the energy expenses of Chinese households in the mid-run due to the higher cost of electricity. However, firms will benefit from moderate decarbonization through a reduction in coal and oil consumption. Energy-efficiency improvements lead to a reduction in firms' total energy costs, partially compensating the crowdingout effect of low-carbon investments on general productive capital. Our mitigation scenario has therefore a small macroeconomic cost compared to business as usual, equal to a lag in growth of less than one year in 2050.

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Section: Literature Reviewmentioning

confidence: 99%

The economic impact of a deep decarbonisation pathway for China: a hybrid model analysis through bottom-up and top-down linking

Ghersi

Teng

et al. 2021

Mitig Adapt Strateg Glob Change

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“…Numerous researchers have developed and used models such as the MARKAL/TIMES, 2050 calculator, marginal abatement cost curve (MACC), or forecast industry model to simulate the introduction of novel technologies or policies and predict their energy saving and carbon reduction potential [17][18][19][20][21]. Others have analyzed the energy consumption of a country or industry using energy efficiency indicators.…”

Section: Literature Reviewmentioning

confidence: 99%

Will the Management Structure of Energy Administrators Affect the Achievement of the Electrical Efficiency Mandatory Target for Taiwan Factories?

Liao

Chen

2021

Energies

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Since 2014, Taiwan has promoted a 1% annual electricity saving target to promote electrical efficiency efforts. As the industrial sector accounts for approximately 60% of the overall electricity consumption of Taiwan, this sector presents the greatest opportunity for improving Taiwan’s overall energy efficiency. Here, the energy audit data of industrial energy users are analyzed via logistic regression to understand the factors impacting their likelihood of achieving the targeted 1% electricity saving. Of the variables under study, the number of employees and the rank of the energy administrator were significantly correlated with the likelihood of reaching the electricity saving target. Within the management structure of the factory, energy users with higher-ranking energy administrators are more likely to achieve the targeted 1% electricity saving. As it is impractical to rapidly increase the number of employees, higher-ranking employees, i.e., factory executives, should be appointed as energy administrators to improve users’ electrical efficiency and thus reach the targeted 1% annual electricity saving. Based on the findings of our research, we put forward a point of view that in addition to the introduction of new technologies to improve energy efficiency, it can also be achieved through adjustments to the management structure of energy administration.

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“…Helgesen et al (2018) linked a bottom-up energy system model 1 and a top-down CGE model to analyze both the energy system impacts and the economic impacts of reducing greenhouse gas emissions in transportation. Wu et al (2019) adopted a hybrid of these approaches, which employed a soft link between the Asia-Pacific integrated model/CGE for Taiwan (top-down) and the Taiwan 2050 Calculator (bottomup), to evaluate the effects of energy efficiency improvements in Taiwan. Related hybrid CGE models include Lanz and Rausch (2011) and Igos et al (2015).…”

Section: Resource Areasmentioning

confidence: 99%

The Impacts of Reducing Renewable Energy Subsidies on China's Energy Transition by Using a Hybrid Dynamic Computable General Equilibrium Model

Guo¹,

Zhang²,

Feng³

et al. 2020

Front. Energy Res.

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This paper develops a hybrid computable general equilibrium model to explore the impacts of reducing renewable energy subsidies on China's energy transition in various scenarios. The results of the benchmark scenario indicate that China can realize its regulatory goals in energy consumption and structure and carbon emission intensity in 2030. This paper sets various policy scenarios to simulate the impacts of reducing renewable subsidies between 2021 and 2030. The analytical results of the scenarios indicate that the government's 2030 target for total energy and natural gas consumption and carbon emission intensity can be achieved. However, the target for non-fossil energy is hard to fulfill when the renewable energy subsidy is reduced. The empirical results also indicate that a moderate renewable energy subsidy associated with significant technical progress in renewable energy is a crucial way for China to fulfill government targets and energy transition in 2030.

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Sectoral energy efficiency improvements in Taiwan: Evaluations using a hybrid of top-down and bottom-up models

Cited by 21 publications

References 28 publications

The economic impact of a deep decarbonisation pathway for China: a hybrid model analysis through bottom-up and top-down linking

The economic impact of a deep decarbonisation pathway for China: a hybrid model analysis through bottom-up and top-down linking

Will the Management Structure of Energy Administrators Affect the Achievement of the Electrical Efficiency Mandatory Target for Taiwan Factories?

The Impacts of Reducing Renewable Energy Subsidies on China's Energy Transition by Using a Hybrid Dynamic Computable General Equilibrium Model

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