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  • 2020-2023  (3)
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  • 1
    Publication Date: 2022-04-12
    Description: India, mainly powered by coal, has adopted ambitious renewable energy targets and currently considers a climate neutrality target for 2050. The rapid growth of solar PV power faces challenges due to its variable generation resulting in a decline in its economic value. In this paper, we evaluate the potential of battery storage to stabilize the market value of solar PV for three scenarios of further battery costs decrease. We estimate optimal battery storage and power generating capacities and their hourly operation in a 2040 Indian wholesale electricity market using an open-source power sector model. We find that battery storage increases the optimal solar PV shares from ∼40-50 % (without batteries) to ∼65 % (90%) in our central (optimistic) battery cost scenarios, while they hardly increase in our pessimistic battery cost scenario. We conclude that if battery cost drop to below ∼200 USD/kWh (including balance-of-system costs) they could become essential in a transition to a solar PV-dominant Indian energy system.
    Type: info:eu-repo/semantics/article
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  • 2
    Publication Date: 2022-07-13
    Description: We compare the effectiveness of absolute vs. intensity targets in preparing China for progressively stronger climate action under the Paris Agreement. The Agreement requires countries to submit nationally determined contributions (NDCs) every five years and in addition calls for submission of long-term low greenhouse gas emission development strategies up to 2050. This study conducts a multi-criteria comparison of the adoption of an absolute vs. an intensity interim target in 2030, followed by an absolute target in 2050, for China. In doing so, we explicitly consider economic growth uncertainty as it is the main motivation behind China's and other developing countries' adoption of intensity targets for 2030. We perform the target comparison analytically, as well as using the stochastic version of a large-scale integrated assessment model. The stochastic model is based on expected utility theory and explicitly accounts for uncertainty.
    Type: info:eu-repo/semantics/article
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  • 3
    Publication Date: 2022-08-23
    Description: Limiting global warming to “well below 2°C” as stated in the Paris Agreement requires ambitious emissions reductions from all sectors. Rapid technology cost declines in the energy sector are changing energy investment and emissions, even with the weak climate policies currently in place. We assess how energy supply costs and carbon dioxide removal (CDR) availability affect mitigation by performing a sensitivity analysis with the energy-economy-climate model REMIND. We use new scenarios with carbon price paths that aim to reduce the frequently seen temperature overshoot. Further, we measure the sensitivities of mitigation indicators to the costs of technologies across economic sectors. We assess the sensitivity to nine techno-economic parameters: the costs of wind, solar, biomass, gas, coal, oil, nuclear, and electric/hydrogen vehicles, as well as the injection rate of Carbon Capture and Storage (CCS). While technology costs play a role in shaping optimal pathways, we find that transport sector costs affect the economics of deep decarbonization, whereas costs of renewables are more important for scenarios under weak climate policies. This further highlights the value of renewable energy deployment as a no-regrets option in climate policy. In terms of the sensitivity of model outputs, economic indicators become more sensitive to costs than emissions, with increasing policy stringency.
    Type: info:eu-repo/semantics/article
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