Material flow analysis

Material flow analysis (MFA) (also referred to as substance flow analysis or SFA) is an analytical method of quantifying flows and stocks of materials or substances in a well-defined system. MFA is an important tool to assess the physical consequences of human activities and needs in the field of industrial ecology, where it is used on different spatial and temporal scales. Examples are accounting of material flows within certain industries and connected ecosystems, determination of indicators of material use by different societies, and development of strategies for improving the material flow systems in form of material flow management. Since 1990, the number of research publications in the field of material flow analysis has grown steadily in the Journal of Industrial Ecology and in ecological economics.

Description of the method

Motivation

Human needs such as shelter, food, transport, or communication require materials such as wood, starch, sugar, iron and steel, copper, or semiconductors. As society develops and economic activity grows, production, use, and disposal of the materials employed increases to a scale where unwanted impacts on environment and society cannot be neglected anymore, neither locally nor globally: Material flows represent the core of local environmental problems such as leaching from landfills or oil spills. Rising concern about global climate change put a previously unimportant waste flow, carbon dioxide, on the top of the political and scientific agenda. In addition the gradual shift from traditional to urban mining in developed countries requires a detailed assessment of in-use and obsolete stocks of materials within the human environment. Industries, government bodies, and other organisations therefore need a tool to complement economic accounting with systematic book-keeping of materials entering, staying, and leaving the anthroposphere. Material flow analysis is such a tool.

Basic principles

MFA is based on two fundamental and well-established scientific principles, system approach and mass balance. While these principles are applied wide across science and technology, it is the way they are applied to the socioeconomic metabolism that makes MFA a special method. [1] [2]

System definition

An elementary MFA system without quantification.
A more general MFA system without quantification.

An MFA system is a model of a process, industry sector or region of concern. Its level of detail is chosen according to the purpose of the study. An MFA system consists of the system boundary, processes, flows, and stocks. Contrary to e.g. chemical engineering where such a system would represent a specific physical setup, systems and processes in MFA can represent much larger and more abstract things as long as they are well-defined. The concept of the system is central as it allows to allocate quantitative information either as stocks within certain processes or as flows between processes. In other words an MFA system allows to graphically allocate the meaning of measurements or statistical data in form of stocks or flows that are related to certain processes in a given system.

MFA studies can be refined by disaggregating or simplified by aggregating processes.

Next to the system and the arrangement of processes and flows in between, scale and scope of the system need to be specified. The spatial scale is the geographic entity that is covered by the system. A system representing a certain industrial sector can be applied to the US, China, certain world regions, or the world as a whole. The temporal scale is the point in time or time span for which the system shall be considered. A system can represent a snapshot of stocks and flows at a certain point in time or it can contain time series which describe the temporal evolution of the system variables. The material (scope) of the system is the actual physical entity that shall be quantified. This can be a certain chemical element such as cadmium or a substance such as CO2. More general things can be quantified as well as long as some kind of balance can be established. Examples are goods such as passenger cars or other physical quantities such as energy.

Unlike in daily life, MFA requires a more precise use of the terms material, substance, or good due to the way they are affected by the mass balance principle. We refer to chapter 2.1 from Brunner and Rechberger:[3]

A typical MFA system with quantification.

Process balance

One of the main purposes of MFA is to obtain a complete picture of the metabolism of certain elements or substances within the scope of the system. Such an analysis must also cover the stocks and flows that are not covered by financial accounting such as some waste flows, exhausts, or stocks of obsolete products. Mass balance or more general process balance is a first order physical principle that turns MFA into a powerful tool. The requirement for a balance to hold for each process facilitates a complete picture of the materials used, produced, and discarded within the various processes. Which balances hold for a given system depends on the specific processes that are considered: While for a process ‘oil refinery’ one can establish a mass balance for each chemical element, this is not possible for a nuclear power station. A car factory respects the balance for steel, but a steel mill doesn’t. Mass balance is a powerful and surprisingly versatile concept for the quantification of MFA systems.

When quantifying MFA systems either by measurements or from statistical data, mass balance and other process balances have to be checked to ensure the correctness of the quantification and to reveal possible data inconsistencies or even misconceptions in the system such as the omission of a flow or a process.

Applications on different spatial and temporal scales

Material flow analyses are conducted on various spatial and temporal scales, for a variety of elements, substances, and goods, and cover a wide range of process chains and material cycles. Several examples:

Historical development

Recent development

Relation to other methods

MFA is complementary to life cycle assessment (LCA) and input-output (I/O) models. Some overlaps between the different methods exist as they all share the system approach and to some extent the mass balance principle. The methods mainly differ in purpose, scope, and data requirements.

MFA studies often cover the entire cycle (mining, production, manufacturing, use, waste handling) of a certain substance within a given geographical boundary and time frame. The level of detail of the system is adapted to the substance considered. Material stocks are considered explicitly which makes MFA suitable to tackle resource scarcity and recycling from old scrap. The common use of time series and lifetime models makes MFA a suitable forecasting tool for long-term trends in material use.

See also

References

Notes

  1. Marina Fischer-Kowalski, The Intellectual History of Materials Flow Analysis, Part I, 1860-1970, Journal of Industrial Ecology 2(1), 1998, pp 61-78, doi:10.1162/jiec.1998.2.1.61.
  2. Marina Fischer-Kowalski, The Intellectual History of Materials Flow Analysis, Part II, 1970-1998, Journal of Industrial Ecology 2(4), 1998, pp 107-136, doi:10.1162/jiec.1998.2.4.107.
  3. 3.0 3.1 3.2 3.3 3.4 Brunner, P.H.; Rechberger, H. (2004). Practical Handbook of Material Flow Analysis. Lewis Publishers, New York. ISBN 1-56670-604-1.
  4. IUPAC, Compendium of Chemical Terminology, 2nd ed. (the "Gold Book") (1997). Online corrected version: (2006–) "chemical element".
  5. Schmidt-Bleek MIPS: Ein neues ökologisches Maß, 1994
  6. "Wuppertal Institute". Retrieved 3 July 2011.
  7. "materialflows.net". Retrieved 3 July 2011.
  8. "UNEP". Retrieved 3 July 2011.
  9. "IPCC". Retrieved 3 July 2011.
  10. "Accounting in the EU". Retrieved 3 July 2011.
  11. "Accounting in Japan". Retrieved 3 July 2011.
  12. "World Resources Forum". Retrieved 3 July 2011.
  13. Nakamura, S.; Kondo, Y. (2009). Waste Input-Output Analysis. Concepts and Application to Industrial Ecology. Springer. ISBN 978-1-4020-9901-4.
  14. Daniel B. Müller, Stock dynamics for forecasting material flows--Case study for housing in The Netherlands, Ecological Economics 59(1), 2006, pp 142-156, doi:10.1016/j.ecolecon.2005.09.025.
  15. "3R in Japan". Retrieved 3 July 2011.

Further reading

External links