2021
DOI: 10.1016/j.enpol.2021.112422
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Best practices for analyzing the direct energy use of blockchain technology systems: Review and policy recommendations

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Cited by 37 publications
(29 citation statements)
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“…In line with the objectives of the EU climate and energy package, the share of renewable energy in the final energy consumption for Poland by 2021 should be 15%, and by 2030, 23% [43,44]. According to the Ministry of Climate, the EU target for RES share in the energy mix set by 2021 may not be met by Poland until 2022 [47][48][49][50]. However, despite this, the power of renewable energy sources in our country is increasing with each subsequent year (only in 2019 this increase was 9× higher than in 2018).…”
Section: Introductionmentioning
confidence: 99%
“…In line with the objectives of the EU climate and energy package, the share of renewable energy in the final energy consumption for Poland by 2021 should be 15%, and by 2030, 23% [43,44]. According to the Ministry of Climate, the EU target for RES share in the energy mix set by 2021 may not be met by Poland until 2022 [47][48][49][50]. However, despite this, the power of renewable energy sources in our country is increasing with each subsequent year (only in 2019 this increase was 9× higher than in 2018).…”
Section: Introductionmentioning
confidence: 99%
“…The energy transition process is characterized by the interplay of old and new technologies as well as a structural link with other sectors such as information and communication technology (ICT) [19]. Blockchain-based technologies can play an important role in the energy transformation, offering profitable local energy trading, accelerating renewable energy production, and providing grids with new demand-response resources to increase grid stability [20].…”
Section: Literature Reviewmentioning
confidence: 99%
“…We propose to fill this research gap with this study. We aimed to build a model of energy consumption with a breakdown into electricity and natural gas in a walking beam furnace, depending on the length of the rolling campaign and the agreed rolling program [21,22]. The end result of our work is a model that allows the calculation of the energy costs of material processing depending on: steel grade and mass of the ingot, time soaking in the furnace, thickness, and bandwidth [23,24].…”
Section: Introductionmentioning
confidence: 99%