Understanding climate policy projections: A scoping review of energy-economy models in Canada

Rhodes, Ekaterina; Hoyle, Aaron; McPherson, Madeleine; Craig, Kira

doi:10.1016/j.rser.2021.111739

Cited by 14 publications

(23 citation statements)

References 58 publications

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“…Focusing on the energy consumption and energy production, top-down models are used for macroeconomic analysis and energy policy design. Examples include CGE, ARE, etc., but such models usually neglect the potential of technological advances (Rhodes et al, 2022). Bottom-up models are usually based on engineering models, which explain and simulate the technologies used in the process of energy consumption and energy production (Chatterjee et al, 2022), but require a large amount of data.…”

Section: Literature Reviewmentioning

confidence: 99%

Transition to a zero-carbon energy system in the Ningxia area: integrated CO2 reduction measures from the multi-level perspective

Qi,

Meng,

Che

et al. 2023

Front. Energy Res.

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China’s commitment to decarbonization has become a foundational principle guiding policymaking at national, provincial, and local levels across diverse sectors. This commitment is especially evident in the active promotion of low-carbon energy transitions by all provinces, aligning with the national goal of carbon neutrality. This paper focuses on Ningxia Province and constructs five scenarios for low-carbon energy transition, adopting the multi-level perspective. These scenarios include the business-as-usual scenario (BAU), high electrification scenario (HES), high outward electricity scenario (HOS), low carbon scenario (LCS), and energy saving scenario (ESS). Utilizing the LEAP-Ningxia model, we simulate energy demand across various sectors until 2060. The quantitative analysis covers primary energy production, secondary energy conversion, final energy consumption, and CO2 emissions. Notably, under scenarios incorporating carbon capture and storage (CCS) and carbon credits, the total CO2 emissions in Ningxia are projected to decrease to 17∼23 Mt CO2 until 2060 under BAU, HES, and HOS. In LCS and ESS, a remarkable achievement is forecasted with 6∼93 Mt CO2 of negative emissions from the energy sector in Ningxia until 2060. The findings underscore the importance of diverse CO2 reduction measures and their impacts on achieving a zero-carbon energy transition in Ningxia. The implications of scenarios with CCS and carbon credits showcase significant reductions in CO2 emissions, aligning with China’s broader decarbonization goals. The results provide valuable scientific support and insights for policymakers and stakeholders involved in steering Ningxia towards a sustainable and low-carbon future.

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Section: Literature Reviewmentioning

confidence: 99%

Transition to a zero-carbon energy system in the Ningxia area: integrated CO2 reduction measures from the multi-level perspective

Qi,

Meng,

Che

et al. 2023

Front. Energy Res.

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“…In contrast, ESPMs provide researchers with appropriate frameworks to explore pathways to low-carbon electricity systems by including operational details and high spatial and temporal resolution. This makes their results more technically robust than non-ESPMs by design, which is important while studying the transition of the power system [26][27][28]. However, although various carbon pricing mechanisms are in place across Canada, their representation by ESPMs has been limited.…”

Section: Introductionmentioning

confidence: 99%

Exploring the Impacts of Carbon Pricing on Canada’s Electricity Sector

Arjmand,

Hoyle,

Rhodes

et al. 2024

Energies

Self Cite

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Canadian provinces are required to regulate their power sectors using carbon pricing systems that meet national minimum stringency standards, which are set by the federal government. A diverse set of systems has emerged as a result. However, there has been limited assessment of how different pricing mechanisms impact the evolution of Canada’s electricity system. To address this gap, we use an electricity system planning model called COPPER and a scenario-based approach to assess if, and to what extent, different policy regimes impact power sector greenhouse gas emissions and costs. Our results show that carbon pricing systems currently in place lead to significant carbon reductions over the long term, provided that free emissions allocations are reduced. However, the cost-optimal pathway for the power sector differs across provinces depending on the carbon pricing mechanism. Some provinces achieve least-cost emissions reductions by switching from high-carbon technologies to renewables, while others are better served by replacing high-carbon technologies with low-carbon fossil fuel alternatives. Further, provinces that implement cap-and-trade systems may affect the transitions of interconnected jurisdictions. Power sector climate policy design should reflect the heterogeneity of available assets, resources, and neighbouring approaches.

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“…The membrane should not be conductive so the half reactions do not fuse. The Operating temperatures over 100 °C are required so the produced water is converted into steam and water vapor disposal becomes simple during operation and in design [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

AI based Metaheuristic Optimization of PEMFC Control System for Robust and Efficient Operation

Aboshosha

Gouda

Awad

et al. 2023

Preprint

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Proton Exchange Membrane Fuel Cells (PEMFC) have several merits over the other fuel cells like low operating temperature, high power density, light weight, and robustness, fitting them in a wide variety of green energy applications. The most important application area of the PEMFC is hydrogen cars (Fuel Cell Electric Vehicles – FCEV), stationary and portable hydrogen power systems. Throughout the presented research work the complete three cycles of the fuel cell control are presented which are the control system, the FCEV control and the AI based metaheuristic optimization. The presented algorithm includes the PI controller – PI-based HHO-PI-based AEO-PI-based GWO-PI-based PSO. An objective statistical comparison among the presented algorithms to select the best one of them according to perfect criteria.

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Understanding climate policy projections: A scoping review of energy-economy models in Canada

Cited by 14 publications

References 58 publications

Transition to a zero-carbon energy system in the Ningxia area: integrated CO2 reduction measures from the multi-level perspective

Transition to a zero-carbon energy system in the Ningxia area: integrated CO2 reduction measures from the multi-level perspective

Exploring the Impacts of Carbon Pricing on Canada’s Electricity Sector

AI based Metaheuristic Optimization of PEMFC Control System for Robust and Efficient Operation

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