Achieving negative emissions with BECCS (bioenergy with carbon capture and storage) in the power sector: New insights from the TIAM-FR (TIMES Integrated Assessment Model France) model

Selosse, Sandrine; Ricci, Olivia

doi:10.1016/j.energy.2014.09.014

Cited by 51 publications

(27 citation statements)

References 34 publications

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“…The use of biomass for the production of bioenergy and biobased products is often highlighted as an effective way to reduce GHG emissions . Several integrated assessment studies have shown an increasing use of bioenergy and biobased products to reduce these emissions. The potential GHG emission reduction by biomass employment is influenced by the (biophysical) limits of biomass supply and the techno‐economic performance of biobased supply chains .…”

Section: Introductionmentioning

confidence: 99%

Economic performance and GHG emission intensity of sugarcane‐ and eucalyptus‐derived biofuels and biobased chemicals in Brazil

Jonker

Junginger

Posada

et al. 2019

Biofuels Bioprod Bioref

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Biomass feedstock can be used for the production of biofuels or biobased chemicals to reduce anthropogenic greenhouse gas (GHG) emissions. Earlier studies about the techno-economic performance of biofuel or biobased chemical production varied in biomass feedstock, conversion process, and other techno-economic assumptions. This made a fair comparison between different industrial processing pathways difficult. The aim of this study is to quantify uniformly the factorygate production costs and the GHG emission intensity of biobased ethanol, ethylene, 1,3-propanediol (PDO), and succinic acid, and to compare them with each other and their respective fossil equivalent products. Brazilian sugarcane and eucalyptus are used as biomass feedstock in this study. A uniform approach is applied to determine the production costs and GHG emission intensity of biobased products, taking into account feedstock supply, biobased product yield, capital investment, energy, labor, maintenance, and processing inputs. Economic performance and net avoided GHG emissions of biobased chemicals depend on various uncertain factors, so this study pays particular attention to uncertainty by means of a Monte Carlo analysis. A sensitivity analysis is also performed. As there is uncertainty associated with the parameters used for biobased product yield, feedstock cost, fixed capital investment, industrial scale, and energy costs, the results are presented in ranges. The 60% confidence interval ranges of the biobased product production costs are 0.64-1.10 US$ kg −1 ethanol, 1.18-2.05 US$ kg −1 ethylene, 1.37-2.40 US$ kg −1 1,3-PDO, and 951 Modeling and Analysis: Costs and GHG emissions of biobased value chains JGG Jonker et al.1.91-2.57 US$ kg −1 succinic acid. The cost ranges of all biobased products partly or completely overlap with the ranges of the production costs of the fossil equivalent products. The results show that sugarcane-based 1,3-PDO and to a lesser extent succinic acid have the highest potential benefit. The ranges of GHG emission reduction are 1.29-2.16, 3.37-4.12, 2.54-5.91, and 0.47-5.22 CO 2eq kg −1 biobased product for ethanol, ethylene, 1,3-PDO, and succinic acid respectively. Considering the potential GHG emission reduction and profit per hectare, the pathways using sugarcane score are generally better than eucalyptus feedstock due to the high yield of sugarcane in Brazil. Overall, it was not possible to choose a clear winner, (a) because the best performing biobased product strongly depends on the chosen metric, and (b) because of the large ranges found, especially for PDO and succinic acid, independent of the chosen metric. To quantify the performance better, more data are required regarding the biobased product yield, equipment costs, and energy consumption of biobased industrial pathways, but also about the production costs and GHG emission intensity of fossil-equivalent products. 952JGG Jonker et al.Modeling and Analysis: Costs and GHG emissions of biobased value chains

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Section: Introductionmentioning

confidence: 99%

Economic performance and GHG emission intensity of sugarcane‐ and eucalyptus‐derived biofuels and biobased chemicals in Brazil

Jonker

Junginger

Posada

et al. 2019

Biofuels Bioprod Bioref

View full text Add to dashboard Cite

show abstract

“…Over the past decades, modeling studies using integrated assessment models (IAMs) have focused on investigating the role of near-term policies in achieving emission-reduction goals; they have recognized early technology development as a key component for achieving long-term mitigation targets. [20][21][22][23][24] These modeling studies have confirmed that CCS use will be critical in (1) alleviating the challenges of technology transition in the power sector, particularly when associated with BECCS; 21,25,26 and (2) preventing premature coal plant retirements. 27 Such studies, however, are based on aggregate approaches, in which different scenarios of technology development are analyzed within the same model (e.g., by drawing different assumptions about CCS cost trajectories 20,28 ) or comparing different model outputs.…”

Section: Context and Scalementioning

confidence: 77%

Reducing US Coal Emissions Can Boost Employment

Patrizio

Leduc

Kraxner

et al. 2018

Joule

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In this study, we show that climate change mitigation does not necessarily have to come at the cost of employment. The deployment of BECCS by 2030 and the replacement of 50% of aging coal plants with natural gas allow achieving emission reductions consistent with 2 C stabilization pathways in the coal sector by 2050. This strategy addresses the concerns surrounding coal workers' employment by phasing out coal gradually, retaining 40,000 jobs, and creating 22,000 additional jobs by mid-century.

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“…TIAM is a bottom-up model in the TIMES family and was created in the framework of the ETSAP group at the IEA. TIAM-FR is the TIAM version that has been developed at MINES Paristech Center for Applied Mathematics to address energy and climate-related questions (Dubreuil et al 2013;Selosse and Ricci 2014;Kang et al 2017). It depicts the global energy system with a high level of disaggregation on energy sources, technologies, and end uses.…”

Section: The Tiam-fr Modelmentioning

confidence: 99%

Closing the TIMES Integrated Assessment Model (TIAM‐FR) Raw Materials Gap with Life Cycle Inventories

Boubault

Kang

Mäızi

2018

J of Industrial Ecology

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Summary Integrated assessment models are in general not constrained by mineral resource supply. In this paper, we introduce a material accounting method as a first step toward addressing the raw materials gap in the TIMES integrated assessment model (TIAM‐FR version). The method consists of attributing process‐based life cycle inventories (LCIs) taken from the ecoinvent 3.3 database to the TIAM‐FR technology processes constituting the global energy system. We demonstrate the method performing a prospective exercise on the electricity‐generating sector in a second shared socioeconomic pathway (SSP2) baseline scenario on the 2010–2100 time horizon. We start by disaggregating the LCIs into three separate life phases (construction, operation, and decommissioning) and coupling them to their respective TIAM‐FR electric outputs (new capacities, electricity production, and end‐of‐life capacities) in order to estimate the annual mineral resource requirements. Prospective uses of fossil fuels and metallic and nonmetallic mineral resources are quantified dynamically at the life phase and regional levels (15 world regions). The construction of hydropower, solar power, and wind power plants generate increasing use of metallic and nonmetallic mineral resources in successive peak and valley periods. However, the use of fossil fuels is much higher than the use of mineral resources all along the horizon. Finally, we evaluate how sensitive the global material use is to the allocation of a share of infrastructure activities to the decommissioning phase. This approach could be extended to other integrated assessment models and possibly other energy sectors.

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Achieving negative emissions with BECCS (bioenergy with carbon capture and storage) in the power sector: New insights from the TIAM-FR (TIMES Integrated Assessment Model France) model

Cited by 51 publications

References 34 publications

Economic performance and GHG emission intensity of sugarcane‐ and eucalyptus‐derived biofuels and biobased chemicals in Brazil

Economic performance and GHG emission intensity of sugarcane‐ and eucalyptus‐derived biofuels and biobased chemicals in Brazil

Reducing US Coal Emissions Can Boost Employment

Closing the TIMES Integrated Assessment Model (TIAM‐FR) Raw Materials Gap with Life Cycle Inventories

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