Life Cycle Inventories for the Nuclear and Natural Gas Energy Systems, and Examples of Uncertainty Analysis (14 pp)

Dones, Roberto; Heck, Thomas F.; Emmenegger, Mireille Faist; Jungbluth, Niels

doi:10.1065/lca2004.12.181.2

Cited by 83 publications

(56 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Subsequently, Table 2 (Lawson, 2007); the LCA SO 2 emission factor of aggregates is 1.48x10 -5 kg/kg, which has been calculated considering that the bulk density of sand and gravel is 1300-2000 kg/m 3 and of clay at mine is 2000 kg/m 3 (Kellenberger et al, 2007;Korre and Durucan, 2009 (Dones et al. 2007) e (Fritsche and Rausch.…”

Section: Estimation Of Lca External Cost Of Electricity Generation Tementioning

confidence: 99%

Incorporating life cycle external cost in optimization of the electricity generation mix

Rentizelas

Georgakellos

2014

Energy Policy

View full text Add to dashboard Cite

The present work aims to examine the strategic decision of future electricity generation mix considering, together with all other factors, the effect of the external cost associated with the available power generation technology options, not only during their operation but also during their whole life-cycle. The analysis has been performed by integrating the Life Cycle Assessment concept into a linear programming model for the yearly decisions on which option should be used to minimise the electricity generation cost. The model has been applied for the case of Greece for the years 2012-2050 and has led to several interesting results. Firstly, most of the new generating capacity should be renewable (mostly biomass and wind), while natural gas is usually the only conventional fuel technology chosen. If externalities are considered, wind energy increases its share and hydro-power replaces significant amounts of biomass-generated energy. Furthermore, a sensitivity analysis has been performed. One of the most important findings is that natural gas increases its contribution when externalities are increased. Summing-up, external cost has been found to be a significant percentage of the total electricity generation cost for some energy sources, therefore significantly changing the ranking order of cost-competitiveness for the energy sources examined.

show abstract

Section: Estimation Of Lca External Cost Of Electricity Generation Tementioning

confidence: 99%

Incorporating life cycle external cost in optimization of the electricity generation mix

Rentizelas

Georgakellos

2014

Energy Policy

View full text Add to dashboard Cite

show abstract

“…What is interesting about the data presented in Figure 8 is that Denmark, despite generating almost 50% of its electricity from wind, has a higher GWP score than Turkey. It has been shown in the literature that Germany, another country in which the share of renewables in the overall electricity mix is also high, has a higher GWP score than Turkey as well [28]. The relatively high GWP score of Denmark can be attributed to the abundance of off-shore wind power plants, whose construction requires steel and cement, and the production of these materials are highly energy-intensive [29].…”

Section: Acidification Potential (Ap)mentioning

confidence: 99%

Stakeholder Opinion-Based Comparison of Life Cycle Environmental Impacts of Electricity Generation in Turkey With Selected European Countries

Üçtuğ¹

2017

ANADOLU UNIVERSITY JOURNAL OF SCIENCE AND TECHNOLOGY a - Applied Sciences and Engineering

View full text Add to dashboard Cite

The life cycle environmental impacts of electricity generation in Turkey were compared to those of Denmark, France, and Poland. The reason for selecting these particular countries for benchmarking was the fact that electricity generation in these countries is dominated mostly by a single source, that is wind, nuclear, and coal, respectively. OpenLCA TM software and European Life Cycle Database were used, CML2001 method was employed. The life cycle analysis approach was from cradle to grave. The environmental impact criteria which were studied were acidification, global warming potential, depletion of abiotic resources -elements, depletion of abiotic resources -fossil fuels, eutrophication, freshwater aquatic ecotoxicity, human toxicity, marine aquatic ecotoxicity, ozone layer depletion, photochemical oxidation, and terrestrial ecotoxicity. In addition to comparing the four countries in terms of these individual impacts, the overall environmental impact scores for all countries were calculated, once with equal weights for all impacts and once with weights which were determined by acquiring the stakeholder opinions via an online questionnaire. In both cases, Poland turned out to have the highest environmental impact due to the high share coal in the electricity mix, and Turkey came second after Poland. Equal-weightanalysis returned Denmark as the country with the cleanest electricity generation infrastructure whereas stakeholder-weightanalysis results showed that it was France who had the lowest environmental impact. This result was attributed to the high weight of global warming potential and France's nuclear-energy-based electricity generation system has a very low global warming potential when compared to other three countries. It was concluded that the prospective addition of nuclear energy, solar energy, and clean coal technologies into Turkey's electricity mix shall reduce the overall environmental impact of electricity generation in Turkey significantly.

show abstract

“…For example, the embedded emissions of CO 2 in a unit of electricity produced with hydro-power are significantly less than a unit of electricity produced with coal. Also, Hondo (2005), Dones et al (2004) and Weisser (2007) note that the upstream 1 emissions of power plants are very different. Coal and gas power plants have up to 25% of total emissions embodied in upstream emissions because they require extraction and transport of resources before combustion, whereas upstream emissions of nuclear power and renewable energy technologies are lower than 10%.…”

Section: Motivationmentioning

confidence: 99%

Disaggregating the Electricity Sector of China's Input–output Table for Improved Environmental Life-Cycle Assessment

Lindner

Legault

Guan

2013

Economic Systems Research

View full text Add to dashboard Cite

Life Cycle Inventories for the Nuclear and Natural Gas Energy Systems, and Examples of Uncertainty Analysis (14 pp)

Cited by 83 publications

References 3 publications

Incorporating life cycle external cost in optimization of the electricity generation mix

Incorporating life cycle external cost in optimization of the electricity generation mix

Stakeholder Opinion-Based Comparison of Life Cycle Environmental Impacts of Electricity Generation in Turkey With Selected European Countries

Disaggregating the Electricity Sector of China's Input–output Table for Improved Environmental Life-Cycle Assessment

Contact Info

Product

Resources

About