An agro-industrial model for the optimization of biodiesel production in Spain to meet the European GHG reduction targets

Escobar, Neus; Manrique-de-Lara-Peñate, Casiano; Sanjuán, Neus; Clemente, G.; Rozakis, Stélios

doi:10.1016/j.energy.2016.11.111

Cited by 9 publications

(6 citation statements)

References 36 publications

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“…The consequential LCA has been successfully applied in the evaluation of the indirect changes of land use leaded by the cultivation of raw materials for biodiesel production e.g. (Escobar et al, 2017;Schmidt et al, 2015). The consequential approach could also be suitable to elucidate whether the introduction of normative measures to change food consumption (such as taxes to meat consumption) really leads to a decrease of the environmental impact of the whole food chain by assessing.…”

Section: Food Product-based Perspectivementioning

confidence: 99%

Review on environmental models in the food chain - Current status and future perspectives

Đjekić

Sanjuán

Clemente

et al. 2018

Journal of Cleaner Production

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Section: Food Product-based Perspectivementioning

confidence: 99%

Review on environmental models in the food chain - Current status and future perspectives

Đjekić

Sanjuán

Clemente

et al. 2018

Journal of Cleaner Production

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“…Common modelling approaches to identify the marginal technologies and products to be included in the CLCA models included numerical economic models, or more simply designing likely scenarios based on published literature and reports on country or product specific economic trends (Table 2). The economic model types used were general equilibrium models, which take into account an entire market [31], and partial equilibrium models, which only account for some aspects of a market [62]. Buchspies and Kaltschmitt [50] indicated that they used a deterministic model based on legislative frameworks, trade statistics, market environments, and past developments.…”

Section: Definition Of System Boundaries and Marginal Technologies In...mentioning

confidence: 99%

“…Of the studies that used economic data to determine the marginal markets for the use of crops for bioenergy, the majority found variable increases and decreases in overall GHG emissions for different scenarios modelled [31,50,51,54,59] (Table 3). Two studies found an overall increase in GHG emissions with the use of crops for bioenergy [39,62], and one found an overall decrease [49]. See Sections 3.3 and 3.4 for a discussion of all impact assessment results.…”

Section: Definition Of System Boundaries and Marginal Technologies In...mentioning

confidence: 99%

Consequential Life Cycle Assessment of Grain and Oilseed Crops: Review and Recommendations

et al. 2023

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The field crop industry in Canada is a source of both significant economic benefits and environmental impacts. Environmental impacts include land and energy use, as well as greenhouse gas (GHG) and other emissions. Impacts also accrue upstream of the field in the product supply chain, from the production of such inputs as fertilizers and pesticides. There are currently two types of environmental life cycle assessment (LCA)—attributional LCA (ALCA) and consequential LCA (CLCA)—that may be used to study the life cycle impacts of products such as field crops. ALCA is a retrospective methodology that presents a snapshot of average, “status quo” conditions. CLCA is a prospective methodology that presents the potential implications of changes in a product system, including any associated market-mediated changes in supply or demand in other product systems. Thus, CLCAs can be used to assess large-scale changes in the field crop industry, including its relationship to other sectors and processes, such as the production of biofuel or of food for both human and animal consumption. The aim of this paper is to review and curate the knowledge derived through published CLCA studies that assessed the impacts of changes to field crop production systems on the life cycle resource use and emissions associated with the agricultural products, with a focus on their relevance to temperate climate conditions. The current study also highlights how previous studies, including ALCAs and farm management recommendations, can be used to inform the changes that should be studied using CLCA. The main challenges to conducting CLCAs include identifying the system boundaries, marginal products and processes that would be impacted by changes to field crop production. Marginal markets and product systems to include can be determined using economic equilibrium models, or information from local experts and industry reports. In order to conduct ISO-compliant CLCAs, it is necessary to include multiple relevant environmental impact categories, and to perform robust data quality and uncertainty analyses.

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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 PEM was used to predict the optimal feedstock mix based on farmers and biodiesel plant owners' welfare. Depending on the types and origins of the feedstock mix, the GHG savings of biodiesel were altered [58].…”

Section: Operational Modelmentioning

confidence: 99%

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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An agro-industrial model for the optimization of biodiesel production in Spain to meet the European GHG reduction targets

Cited by 9 publications

References 36 publications

Review on environmental models in the food chain - Current status and future perspectives

Review on environmental models in the food chain - Current status and future perspectives

Consequential Life Cycle Assessment of Grain and Oilseed Crops: Review and Recommendations

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

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