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Land-use change (LUC) is a contentious policy issue because of its uncertain, yet potentially substantial, impact on bioenergy climate change benefits. Currently, the share of global GHG emissions from biofuels-induced LUC is small compared to that from LUC associated with food and feed production and other human-induced causes. However, increasing demand for biofuels derived from feedstocks grown on agricultural land could increase this contribution. No consensus has emerged on how to appropriately isolate and quantify LUC impacts of bioenergy from those of other LUC drivers. We reviewed the literature and illustrate some strategies to minimize bioenergy-related LUC, including ways to increase land’s total productivity and the design and implementation of effective land use policies. The best strategies to reduce LUC risk will vary geographically, requiring a balancing of the advantages and limitations of potential options within the local context together with other goals (social, environmental, economic, energy security, and diversification).

Lab
Bioenergy Category

Biomass power offers utilities a potential pathway to increase their renewable generation portfolios for compliance with renewable energy standards and to reduce greenhouse gas (GHG) emissions relative to current fossil-based technologies. To date, a large body of life-cycle assessment (LCA) literature assessing biopower’s life-cycle GHG emissions has been published.
 
Phase A of this project performed an exhaustive search of the biopower LCA literature yielding 117 references that passed quality and relevance screening criteria. Fifty-seven papers reported 280 life-cycle GHG emission estimates. Literature indicates that, excluding land use change (LUC), well-managed and well-designed biopower systems can deliver electricity with low life cycle GHG emissions compared to fossil fuels. The use of residues and organic wastes for biopower could result in significantly lower life-cycle GHG emissions if biomass is diverted from landfill or open-air burning. Using carbon mitigation technologies such as carbon capture and storage, rarely studied for biopower systems, could yield even deeper emission reductions.
 
Phase B of this project constructed a spreadsheet model of the biopower life cycle to conduct a sensitivity analysis using biomass supply chain parameters that were taken from applicable literature in the LCA literature review. The spreadsheet model, created from NREL’s Systems Advisor Model (SAM) structure, was expanded to evaluate GHG emissions from dedicated biomass crops. These capabilities were integrated into SAM.

 

Lab

Increasing demand for crop-based biofuels, in addition to other human drivers of land use, induces direct and indirect land use changes (LUC). Our system dynamics tool is intended to complement existing LUC modeling approaches and to improve the understanding of global LUC drivers and dynamics by allowing examination of global LUC under diverse scenarios and varying model assumptions. We report on a small subset of such analyses. This model provides insights into the drivers and dynamic interactions of LUC (e.g., dietary choices and biofuel policy) and is not intended to assert improvement in numerical results relative to other works.
 
Demand for food commodities are mostly met in high food and high crop-based biofuel demand scenarios, but cropland must expand substantially. Meeting roughly 25% of global transportation fuel demand by 2050 with biofuels requires >2 times the land used to meet food demands under a presumed 40% increase in per capita food demand. In comparison, the high food demand scenario requires greater pastureland for meat production, leading to larger overall expansion into forest and grassland. Our results indicate that, in all scenarios, there is a potential for supply shortfalls, and associated upward pressure on prices, of food commodities requiring higher land use intensity (e.g., beef) which biofuels could exacerbate.

Lab
Bioenergy Category

Understanding the environmental effects of alternative fuel production is critical to characterizing the sustainability of energy resources to inform policy and regulatory decisions. The magnitudes of these environmental effects vary according to the intensity and scale of fuel production along each step of the supply chain. We compare the spatial extent and temporal duration of ethanol and gasoline production processes and environmental effects based on a literature review and then synthesize the scale differences on space-time diagrams. Comprehensive assessment of any fuel-production system is a moving target, and our analysis shows that decisions regarding the selection of spatial and temporal boundaries of analysis have tremendous influences on the comparisons. Effects that strongly differentiate gasoline and ethanol-supply chains in terms of scale are associated with when and where energy resources are formed and how they are extracted. Although both gasoline and ethanol production may result in negative environmental effects, this study indicates that ethanol production traced through a supply chain may impact less area and result in more easily reversed effects of a shorter duration than gasoline production.

Publication Date
Bioenergy Category
Author(s)
Parish, Esther

The increasing demand for bioenergy crops presents our society with the opportunity to design more sustainable landscapes. We have created a Biomass Location for Optimal Sustainability Model (BLOSM) to test the hypothesis that landscape design of cellulosic bioenergy crop plantings may simultaneously improve water quality (i.e. decrease concentrations of sediment, total phosphorus, and total nitrogen) and increase profits for farmer-producers while achieving a feedstock-production goal. BLOSM was run using six scenarios to identify switchgrass (Panicum virgatum) planting locations that might supply a commercial-scale biorefinery planned for the Lower Little Tennessee (LLT) watershed. Each scenario sought to achieve different sustainability goals: improving water quality through reduced nitrogen, phosphorus, or sediment concentrations; maximizing profit; a balance of these conditions; or a balance of these conditions with the additional constraint of converting no more than 25% of agricultural land. Scenario results were compared to a baseline case of no land-use conversion. BLOSM results indicate that a combined economic and environmental optimization approach can achieve multiple objectives simultaneously when a small proportion (1.3%) of the LLT watershed is planted with perennial switchgrass. The multimetric optimization approach described here can be used as a research tool to consider bioenergy plantings for other feedstocks, sustainability criteria, and regions.

Contact Phone
Publication Date
Contact Email
parishes@ornl.gov
Contact Person
Esther Parish
Contact Organization
Oak Ridge National Laboratory
Bioenergy Category
Author(s)
Parish, ES

Reducing “Energy Poverty” is increasingly acknowledged as the “Missing Development Goal”. This is because access to electricity and modern energy sources is a basic requirement to achieve and sustain decent and sustainable living standards. It is essential for lighting, heating and cooking, as well as for education, modern health treatment and productive activities, hence food security and rural development. Yet three billion people – about half of the world’s population - rely on unsustainable biomass-based energy sources to meet their basic energy needs for cooking and heating, and 1.6 billion people lack access to electricity.

Bioenergy Category

n the past decades, the production of biomass for energy in agriculture and forestry has increased in many parts of the world. For years to come, further increase in land use for bioenergy will be needed to meet the renewable energy ambitions of many countries, and to reduce fossil fuel use and associated GHG emissions. As many industrialized countries have a limited biomass production potential compared to their prospective demand, it is expected that substantial international bioenergy trade will develop in the coming decades where regions such as Latin America and sub-Saharan Africa will produce feedstocks for both domestic consumption and for export. Increasing the production and energetic use of biomass has many direct and indirect effects, including land-use related GHG emissions, impacts on biodiversity, and other environmental and social effects. However, while much of the recent years’ debate has concerned negative effects, it is important to note that bioenergy expansion can also lead to positive environmental and socio-economic outcomes.

This workshop aimed to bring together current state-of-the-art research concerned with assessing land use effects of bioenergy, mitigating negative impacts, and promoting beneficial outcomes.

Publication Date
Contact Email
neil.bird@joanneum.at
Contact Person
David Neil Bird
Contact Organization
IEA Bioenergy Task 38
Bioenergy Category

Provides a summary of the key findings of the IPCC Special Report on Renewable Energy Sources (SRREN) and Climate Change Mitigation.

Lab
Contact Email
ethan.warner@nrel.gov
Contact Person
Ethan Warner
Contact Organization
National Renewable Energy Laboratory
Bioenergy Category

The major opportunities to reduce fossil carbon dioxide (CO2) emissions involve improving the efficiency with which energy is used and making the transition to alternative sources of energy and materials. These include increasing the sustainable use of biomass for the production of biomaterials, heat and power, and for transport. Two recent reports* concluded that, when responsibly developed, bioenergy can make an important contribution to energy and climate policy, and can also contribute to social and economic development objectives. Even so, there is still an ongoing discussion about the role of sustainable bioenergy in the future. This concerns both environmental and socio-economic aspects, and involves a wide set of issues and many contrasting viewpoints.This report discusses one much-debated issue, the connection between bioenergy and Land Use Change (LUC) and especially whether there is a risk that Greenhouse Gas (GHG) emissions associated with LUC could significantly undermine the climate change mitigation benefits of bioenergy, and how this risk can be minimised.

Bioenergy Category
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