2008 5th International Conference on the European Electricity Market 2008
DOI: 10.1109/eem.2008.4579071
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Energy systems analysis of CCS development in Europe

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Cited by 21 publications
(16 citation statements)
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“…A similar assessment of the effects and detailed solutions related to the introduction of the climate and energy package at the level of the European Union has been carried out by Capros et al [46]. For this purpose, the PRIMES (Price-Induced Market Equilibrium System) model [47,48] has been used. In order to examine the effects of the implementation of carbon dioxide reduction limits in the electricity generation sector (Ontario, Canada), Mirzaesmaeeli et al [49] built a model for optimizing the development of the power generation sector using a mathematical mixed integer programming approach.…”
Section: Literature Reviewmentioning
confidence: 99%
“…A similar assessment of the effects and detailed solutions related to the introduction of the climate and energy package at the level of the European Union has been carried out by Capros et al [46]. For this purpose, the PRIMES (Price-Induced Market Equilibrium System) model [47,48] has been used. In order to examine the effects of the implementation of carbon dioxide reduction limits in the electricity generation sector (Ontario, Canada), Mirzaesmaeeli et al [49] built a model for optimizing the development of the power generation sector using a mathematical mixed integer programming approach.…”
Section: Literature Reviewmentioning
confidence: 99%
“…This latter sector encompasses agriculture and service activities. The residential area, the non-residential building, and the agriculture group are regarded as the fastest growing energy demand sectors and are projected to be 26% higher in 2030 than in 2005 [16]. However, the aggregation of the tertiary sector hinders the in-depth analysis of energy consumption for each activity [17], and the initiatives of energy efficiency and renewable energy use are still under development.…”
Section: Energy Consumption In the Public Sectormentioning
confidence: 99%
“…Plant data were filtered to include EU-based, thermal generation greater than 100 MW. Installations below this capacity generally have no available cooling-system information 17 , have non-representative load factors 34 , and by definition include micro-generation. For the EU in 2014, data for 49,980 units were available, with 3,725 larger than 100 MW.…”
Section: Methodsmentioning
confidence: 99%
“…For the 2030 scenario 1,030 plants with a generation of 7,074 PJ were included. This represents 76% and 64% of forecasted thermal generation in 2020 and 2030 respectively 34 .…”
Section: Methodsmentioning
confidence: 99%