Future scenarios of the Baltic power system with large penetration of renewables

Baltputnis, Kārlis; Broka, Zane

doi:10.1109/eem58374.2023.10161795

Cited by 4 publications

(2 citation statements)

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“…These historical Energies 2023, 16, 7479 14 of 26 data values are scaled using (5) to account for the expected growth of capacities. The details of the methodology are described in [5,36,52,53,59,60]. To create forecasts of electricity generation from RES, we processe outputs of many real randomly selected plants located in the Baltic region To form forecasts of electricity consumption, we processed the hourly power consumption of many real randomly selected consumers.…”

Section: Creating Forecastsmentioning

confidence: 99%

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A Pragmatic Approach to the Economic Assessment of Green Synthetic Methane Power in the Baltics

Sauhats,

Petrichenko,

Zima-Bockarjova

2023

Energies

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The synthesis of methane from hydrogen and carbon dioxide creates an energy resource that is suitable for long-term storage. Once this process is powered by renewable electricity, it produces a clean fuel for producing electricity and heat and supports large-scale renewable energy deployment, energy transition and climate change mitigation. This paper proposes a pragmatic approach to assessing the economic potential of synthetic methane-based power. Today, natural gas plays an important role in the Baltic region due to the existing infrastructure, which includes a transmission and distribution pipeline network, gas power plants and a large underground storage reservoir. Replacing natural gas with synthetic methane would fulfil carbon emission reduction ambitions. In this paper, we simulate electricity producers’ actions at market conditions and consider the generation portfolio in the Baltics and the interconnections with Scandinavia and Poland operating in the NORDPOOL electricity market. As a result of these calculations, we obtain the volume of the synthetic gas, the production costs, the volume of gas storage, the installed capacity of the gas power plant, and the investments required to ensure energy transition and system adequacy. These results are essential for the informed decisions made by policymakers, investors and system operators.

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Section: Creating Forecastsmentioning

confidence: 99%

“…nergies 2023, 16, x FOR PEER REVIEW data values are scaled using (5) to account for the expected growth of c tails of the methodology are described in [5,36,52,53,59,60].…”

Section: Creating Forecastsmentioning

confidence: 99%