The Iasi-Ungheni pipeline: a means of achieving energy independence from Russia? Moldova's attempts at gas supply diversification. OSW Commentary No. 118, 2013-10-08

Since taking power in 2009, the Alliance for European Integration (AIE) has been trying to end Moldova’s dependence on Russian gas. Currently, natural gas accounts for about 50% of the country’s energy balance (excluding Transnistria), and Gazprom has a monopoly on the supply of gas to the republic. The key element of Chișinău’s diversification project is the construction of the Iasi-Ungheni pipeline, which is designed to link the Moldovan and Romanian gas transmission networks, and consequently make it possible for Moldova to purchase gas from countries other than Russia. Despite significant delays, construction work on the interconnector began in August 2013. The Moldovan government sees ensuring energy independence from Russia as its top priority. The significance and urgency of the project reflect Chișinău’s frustration at Moscow’s continued attempts to use its monopoly of Moldova’s energy sector to exert political pressure on the republic. Nonetheless, despite numerous declarations by Moldovan and Romanian politicians, the Iasi- -Ungheni pipeline will not end Moldova’s dependence on Russian gas before the end of the current decade. This timeframe is unrealistic for two reasons: first, because an additional gas pipeline from Ungheni to Chisinau and a compression station must be constructed, which will take at least five years and will require significant investment; and second, because of the unrelenting opposition to the project coming from Gazprom, which currently controls Moldova’s pipelines and will likely try to torpedo any energy diversification attempts. Independence from Russian gas will only be possible after the the Gazprom-controlled Moldova-GAZ, the operator of the Moldovan transmission network and the country’s importer of natural gas, is divided. The division of the company has in fact been envisaged in the EU’s Third Energy Package, which is meant to be implemented by Moldova in 2020.

Defense Fuel Supply Center : your energy supplier.

Shipping list no.: 97-0153-P.

Electric power supply and demand 1978-1987 for the contiguous United States : as projected by the Regional Electric Reliability Councils in their April 1, 1978 long-range coordinated planning reports to the Department of Energy.

"UC-13"

Regulations as to the supply of electric energy to be observed by consumers and electrical contractors.

At head of title: Manchester Electricity Department.

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Reuse of record except for individual research requires license from Congressional Information Service, Inc.

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Energy management partnership act of 1979 : hearing before the Subcommittee on Energy Conservation and Supply of the Committee on Energy and Natural Resources, United States Senate, Ninety-sixth Congress, first session, on S. 1280.

[Pt. 1]: hearing held July 27, 1979; pt. 2: hearings before the Committee on Energy and Natural Resources, Feb. 25 and 26, 1980.

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"Publication no. 96-4."

Management of public water supply to reduce energy cost and improve wind power uptake

This paper presents a study on the implementation of Real-Time Pricing (RTP) based Demand Side Management (DSM) of water pumping at a clean water pumping station in Northern Ireland, with the intention of minimising electricity costs and maximising the usage of electricity from wind generation. A Genetic Algorithm (GA) was used to create pumping schedules based on system constraints and electricity tariff scenarios. Implementation of this method would allow the water network operator to make significant savings on electricity costs while also helping to mitigate the variability of wind generation.

Management of public water supply to reduce energy cost and improve wind power uptake

This paper presents a study on the implementation of Real-Time Pricing (RTP) based Demand Side Management (DSM) of water pumping at a clean water pumping station in Northern Ireland, with the intention of minimising electricity costs and maximising the usage of electricity from wind generation. A Genetic Algorithm (GA) was used to create pumping schedules based on system constraints and electricity tariff scenarios. Implementation of this method would allow the water network operator to make significant savings on electricity costs while also helping to mitigate the variability of wind generation.