Collaboration, Decarbonization, and Distributional Effects

Mier, Mathias; Siala, Kais; Govorukha, Kristina; Mayer, Philip

doi:10.2139/ssrn.4076936

Cited by 4 publications

(4 citation statements)

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“…To estimate hourly wind and solar power availability in the identified sites, we adopted pyGRETA (Python Generator of Renewable Time Series and Map 27 ), which has been used for wind and solar availability simulation in Europe 74 and Southeast Asia 16 .…”

Section: Methodsmentioning

confidence: 99%

The unintended consequences of decarbonizing the China Southern Power Grid

Galelli,

Jin,

Chowdhury

et al. 2023

Preprint

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Decarbonizing the electricity sector requires massive investments in generation and transmission infrastructures that may impact both water and land resources. Characterizing these effects is key to ensure a sustainable energy transition. Here, we identify and quantify the unintended consequences of decarbonizing the China Southern Power Grid, China’s second-largest grid. We show that reaching carbon neutrality by 2060 is feasible; yet, doing so requires converting 40,000 km2 of land to support solar and wind as well as tapping on rivers to build 32 GW of hydropower. The impact of wind and solar development would span across multiple sectors, since crop and grassland constitute 90% of the identified sites. The construction of new dams would carry major externalities and trickle down to nearby countries, as most dams are located in transboundary rivers. Curbing the international footprint of this decarbonization effort would require additional investments (12 billion USD) in carbon capture technologies.

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Section: Methodsmentioning

confidence: 99%

The unintended consequences of decarbonizing the China Southern Power Grid

Galelli,

Jin,

Chowdhury

et al. 2023

Preprint

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show abstract

“…The CGE model PACE delivers annual electricity demand and major fuel prices. 8 CO 2 emissions follow from an emission factor and EUREGEN applies either a carbon price (e.g., Mier et al, 2022) or a quantity target (e.g., Weissbart, 2020, Mier and Weissbart, 2020, Azarova and Mier, 2021. We extend the EUREGEN model by emission factors for different air pollutants (Subsection 3.3).…”

Section: Setupmentioning

confidence: 99%

“…Except 2015, all periods reflects 5 years, i.e., 2020 considers the years 2016 to 2020, ..., and 2050 the year 2046 to 2050.8 Appendix B contains detailed values. SeeMier et al ( , 2022,Siala et al (2022) for applications of the very same calibration.9 Optimality refers to full internalization of the social cost.10 The hour choice algorithm selects and weights hours that present the extremes of load, wind onshore, wind offshore, solar, and hydro generation. We obtain 280 hours and finally scale timeseries to match annual demand and full-load hours of all intermittent technologies.11 Indeed, steam turbines only use the steam generated from burning the respective fuel and are not burning it directly.…”

mentioning

confidence: 99%

Complementary taxation of carbon emissions and local air pollution

Mier,

Adelowo,

Weissbart

2024

Energy Economics

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“…Alternative strategies focus on accumulated knowledge through R&D activities, which is more common for dynamic computable general equilibrium (CGE) and some integrated assessment models(Gillingham et al, 2008, Barreto andKypreos, 2004). 2 SeeWeissbart and Blanford (2019) for the basics of the model,Mier et al ( , 2022,Siala et al (2022) for the underlying calibration, and Weissbart (2020),Mier and Weissbart (2020),Azarova and Mier (2021),Mier et al…”

mentioning

confidence: 99%