Elsevier

Journal of Cleaner Production

Volume 54, 1 September 2013, Pages 215-228
Journal of Cleaner Production

Current limits of life cycle assessment framework in evaluating environmental sustainability – case of two evolving biofuel technologies

https://doi.org/10.1016/j.jclepro.2013.04.032Get rights and content

Highlights

  • Can sustainability of forest and algae biodiesel production be estimated with LCA?

  • Focus is on resource depletion, land use, water use, soil quality and biodiversity.

  • Climate impacts are quantified to exemplify the uncertainty of the results.

  • Decision making related to biofuels is challenging due to uncertainties in results.

  • The methods for assessing environmental impacts by LCA still need to be developed.

Abstract

The growing need to use biofuel raw materials that do not compete with food and feed have resulted in a growing interest in lignocellulosic materials and microalgae. However, the life cycle environmental benefits of both biofuels have been questioned. The aim of this study was to evaluate how environmental sustainability of forest-based and microalgae biodiesel can be estimated by using the life cycle assessment framework. These biofuel chains were chosen because they are contrasting systems, as the first one is based on a “natural” feedstock production system, while the second one is an entirely anthropogenic system using an artificial infrastructure and external inputs to grow microalgae. This study focuses on life cycle impact categories still under methodological development, namely resource depletion, land use and land use change, water use, soil quality impacts and biodiversity. In addition, climate impacts were quantified in order to exemplify the uncertainty of the results and the complexity of estimating the parameters. This study demonstrates the difficulty to assess the absolute range of the total environmental impacts of the two systems. The results propose that the greenhouse gas emissions of microalgae biodiesel are higher than those of forest residue-based biodiesel, but the results of the microalgae chain are very uncertain due to the early development stage of the technology, and due to assumptions made concerning the electricity mix. On the other hand, the microalgae system has other advantages such as low competition on productive land and low biodiversity impacts. The findings help to recognise the main characteristics of the two production chains, and the main remaining research issues on bioenergy assessment along with the methodological development needs of life cycle approaches.

Introduction

In order to mitigate climate change and reduce dependency on fossil fuels, ambitious targets have been set for the use of renewable energy in transportation. For example, the European Union (EU) has set a 10% target for renewable energy in transport by 2020 in the EU Directive (28/2009/EC) on the promotion of the use of energy from renewable sources (RED). Also, the United States and many other countries have set ambitious targets for biofuel production (EISA, 2007; IEA, 2010). Along with growing global population, changing dietary preferences, and increasing use of biomass for other industrial applications, the use of biomass is expected to increase and cause competition for biomass resources (Berndes and Hansson, 2007). To produce biofuels, a wide range of biomass sources with various conversion routes can be utilised. Some biomass production systems are almost natural, such as forests, and some are to a large extent anthropogenic, such as microalgae production. In general, the anthropogenic systems use more inputs (fertilisers, pesticides, energy and water), but the productivity per hectare is high (Lardon et al., 2009).

The ambitious targets to increase biofuel production have created pressure to assess the environmental and social impacts of the expanding bioenergy production. Many studies have shown that first generation biofuels can cause even more environmental impacts than their fossil counterparts, and often second generation biofuels based on lignocellulosic or waste biomass are considered a potential solution to more sustainable biofuels production (e.g. Fargione et al., 2008; Gonzalez-Garcia et al., 2009). However, there can be significant problems in the sustainability of second generation biofuels as well (Melamu and Von Blottniz, 2011). These challenges of the input flows can be mitigated by various eco-design strategies using recycled materials from industrial sources (Soratana and Landis, 2011; Kadam, 2002), by aiming at reducing output fluxes to the environment, and/or by recycling them in system loops.

The studies on the environmental sustainability of biofuels are often based on life cycle assessment (LCA) (ISO, 2006) or an application of it. To ensure the sustainability of the biofuels, the EU has established a set of sustainability criteria for transportation biofuels and other bioliquids in the RED. The RED methodology for GHG impacts assessment is an application of LCA, as it aims to consider the impacts during the whole life cycle of biofuels. However, several problems of bioenergy LCA studies related to the use of input data, functional units, allocation methods, reference systems and other assumptions have been identified (Cherubini and Strømman, 2011). In addition, uncertainties and use of specific local factors for indirect effects (such as land-use change) may result in significant variation in final results (Cherubini and Strømman, 2011; Soimakallio and Koponen, 2011; Soimakallio et al., 2009). Due to the lack of input data and the immature state of the assessment methodologies for some of the impact categories, environmental impacts other than climate change are not usually assessed (Cherubini and Strømman, 2011). These challenges make the comparisons of the LCA bioenergy studies complicated.

Despite the methodological difficulties in producing reliable and unbiased estimates of the impacts of alternative production systems, biofuel production is a rapidly increasing field due to pressures of climate change mitigation. Therefore, an important viewpoint is to consider the available sustainability assessments as an input to make as optimal decisions as possible, taking potential biases and uncertainties of the available information into account. Techniques developed to support LCA-based decision-making with respect to multiple criteria (e.g. Myllyviita et al., 2012) and uncertainty assessments (e.g. Mattila et al., 2012) can be utilised in this context.

The aim of this study is to evaluate how the environmental sustainability issues concerning forest and algae biodiesel production can be estimated by using the framework of life cycle assessment. The forest biodiesel system is based on a “natural” feedstock production, while the algae production is an entirely anthropogenic system using an artificial infrastructure and inputs. These two biofuel chains were chosen because they are contrasting systems, and therefore exemplify the current limits of the life cycle assessment framework effectively. A short review of the limitations of the current LCA methodology is performed, and the challenges related to the environmental assessment of the two systems are discussed. An example of the complexity of quantitative assessment is given concerning the GHG emissions. By assessing the two very different biofuel chains, the study illustrates the challenges related to decision-making, while the best possible biofuel products should be selected for future development.

Section snippets

Materials and methods

For assessing the environmental burdens, the conceptual framework used is the LCA as defined in the international standards ISO 14040 and 14044. The impact categories assessed include climate impacts (GHG emissions), impacts on land use and land use change, resource depletion, water use, soil quality impacts and changes in biodiversity. These categories were chosen as they were identified as being important for both cultivation systems, and they are still immature in their methodological

Climate impacts

The climate impacts of biofuel chains are generally assessed by calculating the GHG emissions (CO2, CH4, and N2O) related to the whole life cycle of the product, and by comparing them to the emissions of fossil fuels. Even though the climate impacts are the most studied environmental impact category in LCA studies of biofuels (Cherubini and Strømman, 2011), there is no single, widely accepted methodology to assess them. The studies use varying allocation methods, spatial and temporal system

Example of climate impact assessment using the RED methodology

The RED methodology for calculating GHG emissions was followed in order to give an example of an LCA-based tool currently being used for decision-making (EU, 2009). According to the RED methodology, the functional unit was one MJ of biofuel, and energy allocation (based on LHVs) was used to attribute the emissions among the products. In forest residue FT-diesel production, no co-products were created so no allocation took place. In the algae oil production, allocation was needed, as biogas was

Discussion and conclusions

The LCA-based assessment methods have developed remarkably in recent years. However, there is no commonly accepted methodology capable of comprehensively estimating the chosen environmental impacts (climate impacts, land use and land use change, resource depletion, water use, soil quality impacts, and changes in biodiversity) of forest residue and microalgae biofuel production chains. The impacts discussed in this study are highly complex and an accurate assessment of the environmental impacts

Acknowledgements

This work is supported by the Marie Curie's International Research Staff Exchange Scheme (ECO-TOOL Project – Grant Agreement Number: PIRSES-GA-2008-230851), the PEER partnership (Partnership of seven of the largest European environmental centres) and the SUBICHOE-project (Sustainability of biomass utilisation in changing operational environment), which was funded by TEKES – the Finnish Funding Agency for Technology and Innovation, the Finnish Ministry of Employment and the Economy and the

References (94)

  • E. Lindeijer

    Biodiversity and life support impacts of land use in LCA

    J. Clean. Prod.

    (2000)
  • E. Lindeijer

    Review of land use impact methodologies

    J. Clean. Prod.

    (2000)
  • R. Melamu et al.

    2nd Generation biofuels a sure bet? A life cycle assessment of how things could go wrong

    J. Clean. Prod.

    (2011)
  • L. Milà i Canals et al.

    Method for assessing impacts on life support functions (LSF) related to the use of ‘fertile land’ in Life Cycle Assessment (LCA)

    J. Clean. Prod.

    (2007)
  • T. Myllyviita et al.

    Assessing environmental impacts of biomass production chains – application of life cycle assessment (LCA) and multi-criteria decision analysis (MCDA)

    J. Clean. Prod.

    (2012)
  • L. Podmanicky et al.

    Modelling soil quality changes in Europe. An impact assessment of land use change on soil quality in Europe

    Ecol. Indic.

    (2011)
  • S. Soimakallio et al.

    How to ensure greenhouse gas emission reductions by increasing the use of biofuels? – Suitability of the European union sustainability criteria

    Biomass. Bioenerg.

    (2011)
  • S. Soimakallio et al.

    The complexity and challenges of determining GHG (greenhouse gas) emissions from grid electricity consumption and conservation in LCA (life cycle assessment) – A methodological review

    Energy

    (2011)
  • K. Soratana et al.

    Evaluating industrial symbiosis and algae cultivation from a life cycle perspective

    Bioresour. Technol.

    (2011)
  • K. Soratana et al.

    Microalgal biodiesel and the renewable fuel Standard's greenhouse gas requirement

    Energ. Policy

    (2012)
  • M. Tuomi et al.

    Heterotrophic soil respiration – comparison of different models describing its temperature dependence

    Ecol. Model.

    (2008)
  • M. Tuomi et al.

    Leaf litter decomposition – estimates of global variability based on Yasso07 model

    Ecol. Model.

    (2009)
  • B.P. Weidema et al.

    Data quality management for life cycle inventories - an example of using data quality indicators

    J. Clean. Prod.

    (1996)
  • J. Weinzettel et al.

    Affluence drives the global displacement of land use

    Glob. Environ. Change

    (2013)
  • E. Alakangas

    Properties of Fuels Used in Finland

    (2000)
  • J.H. Ausubel et al.

    Peak farmland and the prospect for land sparing

    Popul. Dev. Rev.

    (2013)
  • J.B. Bayart et al.

    A framework for assessing off-stream freshwater use in LCA

    Int. J. LCA

    (2010)
  • M. Brandão et al.

    Soil organic carbon changes in the cultivation of energy crops: Implications for GHG balances and soil quality for use in LCA

    Biomass Bioenerg.

    (2010)
  • A. Broch et al.

    A review of variability in indirect land use change assessment and modeling in biofuel policy

    Environ. Sci. Policy

    (2013)
  • D.L. Childers et al.

    Sustainability challenges of phosphorus and food: solutions from closing the human phosphorus cycle

    BioScience

    (2011)
  • A.F. Clarens et al.

    Environmental life cycle comparison of microalgae to other bioenergy feedstocks

    Environ. Sci. Technol.

    (2010)
  • COM

    Proposal for a Directive of the European Parliament and of the Council Amending Directive 98/70/EC Relating to the Quality of Petrol and Diesel Fuels and Amending Directive 2009/28/EC on the Promotion of the Use of Energy from Renewable Sources

    (2012)
  • COM

    595 Final. 2012/0288 (COD)

    (2012)
  • M. Curran et al.

    Toward meaningful end points of biodiversity in life cycle assessment

    Environ. Sci. Technol.

    (2011)
  • L. de Baan et al.

    Land use impacts on biodiversity in LCA: a global approach

    Int. J. LCA

    (2012)
  • EC

    ILCD Handbook: General Guide for Life Cycle Assessment – Detailed Guidance

    (2010)
  • Ecoinvent, Ecoinvent Database. Swiss CentRe for life cycle...
  • EEA

    How Much Bioenergy Can Europe Produce without Harming the Environment?

    (2006)
  • EISA

    Public Law 110-140-Energy Independence and Security Act of 2007

    (2007)
  • European Union

    Directive 2009/28/EC of the European Parliament and of the Council of 23 April 2009 on the Promotion of the Use of Energy from Renewable Sources and Amending and Subsequently Repealing Directives 2001/77/EC and 2003/30/EC

    (2009)
  • K.D. Fagerstone et al.

    Quantitative measurement of direct nitrous oxide emissions from microalgae cultivation

    Environ. Sci. Technol.

    (2011)
  • FAO

    Algae-based Biofuels: a Review of Challenges and Opportunities for Developing Countries

    (2009)
  • J. Fargione et al.

    Land clearing and the biofuel carbon debt

    Science

    (2008)
  • S. Ferrón et al.

    Air-water fluxes of N2O and CH4 during microalgae (Staurosira sp.) cultivation in an open raceway pond

    Environ. Sci. Technol.

    (2012)
  • M. Goedkoop et al.

    A Life Cycle Impact Assessment Method Which Comprises Harmonized Category Indicators and the Midpoint and Endpoint Level

    (2009)
  • IEA

    World Energy Outlook

    (2010)
  • IPCC
    (2006)
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