Environmental assessment of 2030 electricity generation scenarios in Sicily: An integrated approach

Cusenza, Maria Anna; Guarino, Francesco; Longo, Sonia; Mistretta, Marina; Cellura, Maurizio

doi:10.1016/j.renene.2020.07.090

Cited by 20 publications

(11 citation statements)

References 31 publications

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“…In the ceteris paribus assumption, the changes in the product system are analysed in isolation, as the scale of effect is small [35]. The products/ technologies, which are affected by the changes, are called marginal products/ technologies [36]. In contrast, the mutatis mutandis approach assumes that the changes in the product system are large enough to induce changes in other socioeconomic sectors [37].…”

Section: System Boundarymentioning

confidence: 99%

“…Frischknecht and Stucki proposed an approach to select the suitable assumption based on quantitative justifications [36]. In their approach, different modelling techniques would be applied depending on the changing agent, its potential effect and the size of studied product systems.…”

Section: System Boundarymentioning

confidence: 99%

“…In their approach, different modelling techniques would be applied depending on the changing agent, its potential effect and the size of studied product systems. It was suggested that if the potential consequences of the effect were small (the product system's economic size accounts for less than 0.1% or from 0.1% to 1% of the market share), the ceteris paribus assumption should be applied, whereas, the effects with large potential consequences (accounting for more than 1%) should be approached by CLCA with mutatis mutandis assumption [36]. Although the criteria were not adequately convincing, they were the initial efforts of how to deal with system expansion in CLCA, based on quantitative economic value.…”

Section: System Boundarymentioning

confidence: 99%

“…In this case, the expansion of system boundary is necessary to accurately quantify the impact. Frischknecht and Stucki concluded that CLCA with mutatis mutandis assumption, therefore, would be relevant for quantifying impacts of important decisions on the investigated object with a relatively large economic size, for example governmental policies or strategic international organization decisions [36].…”

Section: System Boundarymentioning

confidence: 99%

“…In the French electricity supply mix, the GHG emissions calculated with attributional and decisional approach varied by 129.6%, at 98 gCO2e per kWh and 225 gCO2e per kWh, respectively. However, the volumes of high radioactive waste reduced from 11 with attributional approach to 3.8 mm 3 per kWh with decisional approach [36]. In EU electricity supply mix, both environmental indicators of GHG emissions and high radioactive waste reduced when decisional approach was applied, from 554 to 473 gCO2e per kWh and from 3.5 and 3.4 mm 3 per kWh, respectively [37].…”

Section: Indirect Environmental Impacts Of the Power Sectormentioning

confidence: 99%

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A Review on Consequential Life Cycle Assessment in the Power Sector

Luu¹,

Cellura²,

Longo³

et al. 2020

IJSDP

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The existing policy for greenhouse gas (GHG) abatement aims at decarbonisation of the power sector. The interrelations between the power sector and other economic sectors raise a question of whether the GHG emission reduction policy in the power sector is as effective as it is claimed. Consequential life cycle assessment (CLCA) has been developed to assess the environmental impacts of any industrial/productive sector in relation with changes in the policy and its indirect impacts on other economic sectors. This review is conducted on CLCA studies in the power sector in terms of system boundaries expansion and socio-economic interactions and the ability to quantify indirect environmental impacts. It is indicated that CLCA expanded the system boundaries by applying mutatis mutandis assumption to include several affected products with various scales of change. Economic modelling tools are frequently applied to make assumptions on the extent of change. The applications of these tools also help to identify the environmental profile of product systems and the socio-economic changes such as economic growth and consumer behaviours. Thanks for the expansion of system boundaries and inclusion of socio-economic interactions, the total environmental impacts of power sector are comprehensively quantified. The variations of the total environmental impacts, with different magnitude of change, were observed in several reviewed case studies. In term of GHG emissions, some products become cleaner, for example battery; however, in most of the cases, the power system in general becomes more polluted when indirect impacts on other economic sectors are included.

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Section: System Boundarymentioning

confidence: 99%

Section: System Boundarymentioning

confidence: 99%

Section: System Boundarymentioning

confidence: 99%

Section: System Boundarymentioning

confidence: 99%

Section: Indirect Environmental Impacts Of the Power Sectormentioning

confidence: 99%

See 3 more Smart Citations

A Review on Consequential Life Cycle Assessment in the Power Sector

Luu¹,

Cellura²,

Longo³

et al. 2020

IJSDP

Self Cite

View full text Add to dashboard Cite

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Impact of techno‐economic parameters on the power systems model with high share of renewable energy and energy storage

Sarhan

Ramachandaramurthy

Kiong

et al. 2021

Int Trans Electr Energ Syst

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The design and operation of cost-effective power systems and high penetration of renewable energy and energy storage require a modeling approach that simultaneously reflects the system's reality. Although power systems with high penetration of renewable energy and energy storage have been analyzed in the past, more systematic analysis are in need to determine the impact of generation units' techno-economic parameters on the model's accuracy. This study investigated the effects of the techno-economic and spatial-temporal parameters, which will be referred to as combined techno-economic parameters, via seven scenarios. The combined techno-economic effects were demonstrated on optimal generation mix, renewable curtailments, variability status of storage units, and energy cost. The omission of combined techno-economic parameters results in the renewable generation to be more visible and with less curtailment while significantly decreasing the share of energy storage and decreasing the energy cost by 1.53 USD/MWh. As a result, if power systems assessment dismissed the evolving techno-economic and spatial-temporal parameters, the precision of cost-benefit analysis can be compromised, thus affecting the decision-making in terms of directing projects, regulations, and policies within the power industry.

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