6533b871fe1ef96bd12d2577

RESEARCH PRODUCT

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

Quyen Le LuuSonia LongoElenora Riva SanseverinoVicenzo FranzittaMaurizio CelluraMaria Anna Cusenza

subject

Control and Optimization020209 energySupply chainEnergy (esotericism)Energy Engineering and Power Technology02 engineering and technology010501 environmental sciences01 natural scienceslcsh:TechnologyEnvironmental data0202 electrical engineering electronic engineering information engineeringEconomicsProduct (category theory)economic and environmental modelElectrical and Electronic EngineeringEngineering (miscellaneous)Life-cycle assessment0105 earth and related environmental sciencesSettore ING-IND/11 - Fisica Tecnica AmbientaleRenewable Energy Sustainability and the Environmentlcsh:TEconomic sectorEnvironmental economicsEnergy sectorconsequential life cycle assessment (CLCA) conceptSustainabilityenergy sectorEnergy (miscellaneous)

description

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.

10.3390/en13123076https://www.mdpi.com/1996-1073/13/12/3076