Cryptocurrencies, as a way of extraction, are categorized into two main groups of non‐mineable and mineable. Bitcoin (BTC), the most famous mineable digital currency, utilizes the Proof of Work (PoW) algorithm for maintaining network solidarity. Its mining process is done by devices known as application specific integrated circuits (ASICs), which consume electricity and turn it into heat. They shall operate within an accepted temperature range of around 25°C; otherwise, they will face an efficiency drop; consequently, all mining sites require a proper cooling system. This study aims to investigate the problem of high energy consumption for cooling in digital currency mining sites and to present a solution for that via optimizing the capacity and operation of the chiller and ice thermal storage system (ITS). The results show the utilization of the ITS system reduces the operational costs by 10%, and the ITS system provides 1320 kWh of cooling energy during peak hours. Finally, the sensitivity analysis results considering the impact of the electricity tariff on the size and operation of the system have confirmed that with an increase in peak time tariff, the role of the ITS system in cost reduction increases.
The elimination of energy subsidies leads to the increase in CPI (Consumer Price Index) di-rectly and indirectly. In this study, the effects removing energy subsidies on the Iranian econ-omies have been investigated; though, the main innovation introduced in the study was to con-sider the effect of energy price realization on the economy with respect to the monetary policy (path) that can be regarded as the third option; that is, rising energy price creates new sources that can cover the deficits of the countries. The countries don't need to cover their budget defi-cits by borrowing from the central bank; for this purpose, dynamic modeling in Vensim soft-ware was used via the equations obtained from the Time Series Data set prepared from 2000 to 2014. The results show that the annual increase of 10, 20, and 30 percent of prices after 2011 could have reduced liquidity volume in 2014 by 0.04, 0.11, and 0.75 million billion Rials respectively and leading to CPI reduction by 4, 7 and 10.3 units. Besides, the results indicated that the households reacted to gasoline price change more than the other two energy carriers; that is, gas and electricity. And the first income decile was the most sensitive decile of popula-tion towards price changes. compared to 2009, gasoline, gas and electricity consumption of the first decile declined by 68.5%, 21%, and 10% in 2010, respectively.
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