Modelling tools to evaluate China's future energy system – A review of the Chinese perspective

Mischke, Peggy; Karlsson, Kenneth Bernard

doi:10.1016/j.energy.2014.03.019

Cited by 58 publications

(35 citation statements)

References 21 publications

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“…Previous studies have found that BU and TD models demonstrate wide ranges of future energy and emission trajectories at both global and national levels [3][4][5]25]. For example, [45] found that TD models typically indicate larger macroeconomic costs as the consequence of a given mitigation policy.…”

Section: How Big Is the Gap -Comparison Of Results With Leading Globamentioning

confidence: 99%

“…1). This methodology builds on our previous work, which was limited in scope and tested only for the China regions in both models [25]. In this study we expand and document the iterative soft-linking methodology for these two global models and discuss our scenario assumptions for a subsequent model comparison with a focus on China.…”

Section: Soft-linking Two Global Modelsmentioning

confidence: 99%

“…These studies focused on national scenarios for China in a global context without exploring regional disparities in China's economic development, industry structure, and population. While research on regional disparities in China is available, such as regional disparities in energy supply and consumption [24], these are not yet discussed in global context [25]. Furthermore the existing studies represent either the TD or the BU perspective.…”

Section: Introductionmentioning

confidence: 98%

See 2 more Smart Citations

Closing the gap? Top-down versus bottom-up projections of China’s regional energy use and CO2 emissions

et al. 2016

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Section: How Big Is the Gap -Comparison Of Results With Leading Globamentioning

confidence: 99%

Section: Soft-linking Two Global Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

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Closing the gap? Top-down versus bottom-up projections of China’s regional energy use and CO2 emissions

et al. 2016

Self Cite

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“…Analysing pathways for China's future development and associated global issues relies on complex global modelling tools that incorporate sufficient sub-regional details of China. Recent modelling exercises that account for such global and sub-regional economy and energy system features are however rarely described in the peer-reviewed academic literature (Mischke and Karlsson 2014). This China soft-linking case study aims to bridge this knowledge gap between existing global and China-specific scenario studies, which are currently carried out by different academic institutions with multiple modelling tools (Mischke and Karlsson 2014).…”

Section: From Global Modelling To Country Analysis: Focus On China Wimentioning

confidence: 99%

Informing Energy and Climate Policies Using Energy Systems Models

Giannakidis¹,

Labriet²,

Gallachóir³

et al. 2015

Lecture Notes in Energy

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study of energy: from science and engineering to the analysis of energy policy. The series' scope includes but is not limited to, renewable and green energy, nuclear, fossil fuels and carbon capture, energy systems, energy storage and harvesting, batteries and fuel cells, power systems, energy efficiency, energy in buildings, energy policy, as well as energy-related topics in economics, management and transportation. Books published in LNE are original and timely and bridge between advanced textbooks and the forefront of research. Readers of LNE include postgraduate students and non-specialist researchers wishing to gain an accessible introduction to a field of research as well as professionals and researchers with a need for an up-to-date reference book on a well-defined topic. The series publishes single and multi-authored volumes as well as advanced textbooks.More information about this series at

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“…Interestingly, Input-Output (IO) models were often used in combination with CGE or PE models, either as alternative to LCA or to strength the overall LCI for some specific technologies (see e.g., Dandres et al, 2012;Earles et al, 2013;Lee and Lee, 2008). Lee and co-authors (2011) and Mischke and Karlsson (2014) comprehensively illustrate the pros and cons of using CGE, PE, LCA and IO models to predict the environmental impacts at country's scale. On the one hand, CGE models are considered beneficial to provide with information to simulate the response of the full economy to certain policy scenarios, incorporating price changes at the level, for example, of IO tables.…”

Section: Introductionmentioning

confidence: 99%

Combination of Equilibrium Models and Hybrid Life Cycle Input-Output Analysis to Predict the Environmental Impacts of Energy Policy Scenarios

et al. 2015

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Nowadays, many countries adopt an active agenda to mitigate the impact of greenhouse gas emissions by moving towards less polluting energy generation technologies. The environmental costs, directly or indirectly generated to achieve such a challenging objective, remain however largely underexplored. Until now, research has focused either on pure economic approaches such as computable general equilibrium (CGE) and partial equilibrium (PE) models, or on (physical) energy supply scenarios. These latter could be used to evaluate the environmental impacts of various energy saving or cleaner technologies via life cycle assessment (LCA) methodology. These modelling efforts have, however, been pursued in isolation, without exploring the possible complementarities and synergies. In this study, we have undertaken a practical combination of these approaches into a common framework: on the one hand, by coupling a CGE with a PE model, and, on the other hand, by linking the outcomes from the coupling with a hybrid inputoutput−process based life cycle inventory. The methodological framework aimed at assessing the environmental consequences of two energy policy scenarios in Luxembourg between 2010 and 2025. The study highlights the potential of coupling CGE and PE models but also the related methodological difficulties (e.g. small number of available technologies in Luxembourg, intrinsic limitations of the two approaches, etc.). The assessment shows both environmental synergies and trade-offs due to the implementation of energy policies. For example, despite the changes in technologies towards the reduction of greenhouse gas emissions, only marginal improvements are observed in the climate change mitigation scenario as compared to the business-as-usual. The energy related production and imports are indeed expected to increase over time and represent a large contribution to the country's impacts. Interestingly, side effects on other impacts than climate change or fossil resource depletion (e.g. ionising radiation and water depletion) may also occur mainly due to the use of nuclear energy in neighbouring countries.

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Modelling tools to evaluate China's future energy system – A review of the Chinese perspective

Cited by 58 publications

References 21 publications

Closing the gap? Top-down versus bottom-up projections of China’s regional energy use and CO2 emissions

Closing the gap? Top-down versus bottom-up projections of China’s regional energy use and CO2 emissions

Informing Energy and Climate Policies Using Energy Systems Models

Combination of Equilibrium Models and Hybrid Life Cycle Input-Output Analysis to Predict the Environmental Impacts of Energy Policy Scenarios

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