Life cycle assessment integration into energy system models: An application for Power-to-Methane in the EU

Blanco, Herib; Codina, Victor; Laurent, Alexis; Nijs, Wouter; Maréchal, François; Faaij, André

doi:10.1016/j.apenergy.2019.114160

Cited by 55 publications

(37 citation statements)

References 123 publications

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“…Several authors clarified that the PEM and LCA coupling is suitable to study one or two closely related sectors with 5 to 20 products [43,44]. This is true for all reviewed case studies which applied PEM and LCA, with focus on one sector of energy production [22,[29][30][31][44][45][46][47][48][49][50][51], or two sectors of energy production and waste management [52,53] or energy production and agriculture/forest/crop growing [39,41,[54][55][56][57][58][59][60][61][62].…”

Section: Operational Modelmentioning

confidence: 99%

“…The IO model describes economic flows, including production, consumption, employment and import/export, and their interrelations among different economic sectors and final users [43]. It allows the calculation of the impact for entire sectors or economy rather than focusing on specific processes [51]. It shows how parts of an economic system are affected by a change in one part of that system (the interdependency among industries) in the economy [43].…”

Section: Conceptual Modelmentioning

confidence: 99%

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A Conceptual Review on Using Consequential Life Cycle Assessment Methodology for the Energy Sector

et al. 2020

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Energy is engaged in the supply chain of many economic sectors; therefore, the environmental impacts of the energy sector are indirectly linked to those of other sectors. Consequential life cycle assessment (CLCA) is an appropriate methodology to examine the direct and indirect environmental impacts of a product due to technological, economic or social changes. To date, different methodological approaches are proposed, combining economic and environmental models. This paper reviews the basic concept of CLCA and the coupling of economic and environmental models for performing CLCA in the energy sector during the period 2006–2020, with the aim to provide a description of the different tools, highlighting their strengths and limitations. From the review, it emerges that economic modelling tools are frequently used in combination with environmental data for CLCA in the energy sector, including equilibrium, input-output, and dynamic models. Out of these, the equilibrium model is the most widely used, showing some strengths in availability of data and energy system modelling tools. The input-output model allows for describing both direct and indirect effects due to changes in the energy sector, by using publicly available data. The dynamic model is less frequently applied due to its limitation in availability of data and modelling tools, but has recently attracted more attention due to the ability in modelling quantitative and qualitative indicators of sustainability.

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Section: Operational Modelmentioning

confidence: 99%

Section: Conceptual Modelmentioning

confidence: 99%

A Conceptual Review on Using Consequential Life Cycle Assessment Methodology for the Energy Sector

et al. 2020

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“…All of the reviewed case studies expanded the product system boundary by either increasing unit processes or including relevant products and co-products. Some studies made it very clear on the inclusion of extended unit processes [22][23][24][25][26], while others did not clearly identify the unit processes of a product system's life cycle [27][28][29][30][31][32][33][34]. In terms of products and co-products, the system boundary was extended to at least two products in all reviewed studies.…”

Section: System Boundarymentioning

confidence: 99%

“…Examples of the mutatis mutandis assumption can be found in several studies [23][24][25][26][27][28][29][30][31][32][33][34][40][41][42][43][44][45] (Refer to Table 2). In these studies, the marginal products or technologies were identified, with determined affected scales.…”

Section: System Boundarymentioning

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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Enabling Coherence Between Energy Policies and SDGs Through Open Energy Models: The TEMOA-Italy Example

Nicoli,

Alfano,

Amir Kavei

et al. 2024

Lecture Notes in Energy

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This chapter highlights the significance of open-source energy system optimization models in enhancing the transparency and accessibility of energy system studies for policymakers. It provides a detailed example of the creation of a robust modeling framework. This includes guidance on selecting appropriate inputs, interpreting results, and connecting them to policy-relevant objectives such as the Sustainable Development Goals (SDGs), particularly SDGs 6 (water), 7 (energy), 8 (work and economic growth), 9 (industry), 13 (climate) and 15 (land). The focus is on the energy system optimization model TEMOA-Italy, a case study for Italy developed within the open-source framework TEMOA. The presented results explore the impact of possible future scenarios and energy policies on the power sector’s sustainability, showing that low emissions scenarios perform better than a base scenario concerning environmental aspects, but worse in terms of land use and social aspects like the quality of labor. Import dependence is also affected by the renewables’ penetration, due to the criticality of renewable technologies imports. The exclusion of carbon capture from the set of available new technologies improves geopolitical stability and reduces volume shortage risk.

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Life cycle assessment integration into energy system models: An application for Power-to-Methane in the EU

Cited by 55 publications

References 123 publications

A Conceptual Review on Using Consequential Life Cycle Assessment Methodology for the Energy Sector

A Conceptual Review on Using Consequential Life Cycle Assessment Methodology for the Energy Sector

A Review on Consequential Life Cycle Assessment in the Power Sector

Enabling Coherence Between Energy Policies and SDGs Through Open Energy Models: The TEMOA-Italy Example

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