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Lecture

Dynamic Material Flow Analysis

In course

ENV-501: Material flow analysis and resource management

This course provides the basis to understand material and energy production and consumption processes. Students learn how to develop a material flow analysis and apply it to resource management cases. They analyze the implications of their models on resour ...

Description

This lecture covers the purpose and drivers of dynamic Material Flow Analysis (MFA), including steady state, quasi-stationary, and dynamic definitions. It explores the importance of cohorts, lifetimes, and case studies relevant in MFA. The lecture delves into balance equations, stock dynamics, and the impact of human activities on the environment. It also discusses the energy requirements for Lithium extraction and the distribution of geogenic stocks. The session concludes with a focus on growth models, uncertainty analysis, and error propagation in MFA.

Instructors (4)

Maria Anna Hecher

Maria Anna Hecher obtained her PhD degree at the University of Graz, Austria. In her recent research, she investigated regional energy transitions from a socio-technical perspective. She put a special focus on technology adoption decisions to derive strategies and policy recommendations fostering sustainable transitions. Therefore, she pursued an interdisciplinary approach and combined environmental as well as social science methods (i.e. MFA, ABM, LCA, expert interviews, surveys). After her PhD, she had the chance to put her knowledge into practice and managed a three-year programme on regional sustainabiltiy projects in an energy region in Styria, Austria. In cooperation with local decision-makers, public authorities, schools, companies and the local population, she realized projects in the field of renewable energy and sustainable mobility. Recently, she worked as a consultant in an energy agency for and in the city of Graz. She managed projects in the field of e-mobility and spatial energy planning collaborating with public authorities, energy suppliers, city planners and research institutions. Her work in recent years, has mostly been performed in an inter- and transdisciplinary setting integrating knowledge from different scientific disciplines and fields of practice at the interface between research, politics and society.

Vincent Moreau

Aristide Henri Roger Athanassiadis

Aristide has a joint-PhD in Urbanism from the Université Libre de Bruxelles and The University of Melbourne on the topic of comprehensive urban environmental assessments. Since 2018, he was co-Chair of Circular Economy and Urban Metabolism at the Université Libre de Bruxelles where he advised local administrations on the regional circular economy plan and facilitated exchanges between researchers, policy makers and practitioners in order to develop projects that helped Brussels' economy and metabolism transition towards a more circular state. During the last years, he has collaborated and worked with/for several universities, research centres, environmental administrations, NGOs, youth organisations and consultancy firms on a great variety of projects around the topics of urban metabolism and circular economy. Finally, Aristide co-created the non-profit organisation and open-source initiative Metabolism of Cities (www.metabolismofcities.org) that aims to bring to create, share and apply urban metabolism knowledge, in policy and practice.

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Related concepts (32)

Measurement uncertainty

In metrology, measurement uncertainty is the expression of the statistical dispersion of the values attributed to a measured quantity. All measurements are subject to uncertainty and a measurement result is complete only when it is accompanied by a statement of the associated uncertainty, such as the standard deviation. By international agreement, this uncertainty has a probabilistic basis and reflects incomplete knowledge of the quantity value. It is a non-negative parameter.

Uncertainty quantification

Uncertainty quantification (UQ) is the science of quantitative characterization and estimation of uncertainties in both computational and real world applications. It tries to determine how likely certain outcomes are if some aspects of the system are not exactly known. An example would be to predict the acceleration of a human body in a head-on crash with another car: even if the speed was exactly known, small differences in the manufacturing of individual cars, how tightly every bolt has been tightened, etc.

Sensitivity analysis

Sensitivity analysis is the study of how the uncertainty in the output of a mathematical model or system (numerical or otherwise) can be divided and allocated to different sources of uncertainty in its inputs. A related practice is uncertainty analysis, which has a greater focus on uncertainty quantification and propagation of uncertainty; ideally, uncertainty and sensitivity analysis should be run in tandem.

Stock

Stock (also capital stock, or sometimes interchangeably, shares) consist of all the shares by which ownership of a corporation or company is divided. A single share of the stock means fractional ownership of the corporation in proportion to the total number of shares. This typically entitles the shareholder (stockholder) to that fraction of the company's earnings, proceeds from liquidation of assets (after discharge of all senior claims such as secured and unsecured debt), or voting power, often dividing these up in proportion to the amount of money each stockholder has invested.

Stock market

A stock market, equity market, or share market is the aggregation of buyers and sellers of stocks (also called shares), which represent ownership claims on businesses; these may include securities listed on a public stock exchange, as well as stock that is only traded privately, such as shares of private companies which are sold to investors through equity crowdfunding platforms. Investment is usually made with an investment strategy in mind. The total market capitalization of all publicly traded securities worldwide rose from US$2.

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Claudia Rebeca Binder Signer

Claudia R. Binder, a Swiss, Canadian and Colombian citizen, was born in Montreal and spent most of her childhood in Switzerland and Colombia. She studied at ETH Zurich from 1985 to 1996, earning a degree in biochemistry and then a PhD in environmental sciences. After conducting her post-doctoral research at the University of Maryland in the US from 1996 to 1998, she returned to Switzerland and took a position as a senior research scientist at ETH Zurich, studying the interaction between human and environmental systems at the Institute for Natural and Social Science Interface. In 2006, Binder joined the University of Zurich as an assistant professor in the Department of Geography, and in 2009 moved to the University of Graz in Austria where she served as a full professor of systems science. In 2011, she took a position at the University of Munich’s Department of Geography as a full professor of human-environment relations. Binder joined EPFL in March 2016 and set up the Laboratory for Human-Environment Relations in Urban Systems (HERUS) at ENAC; she also holds the La Mobilière Chair on Urban Ecology and Sustainable Living. Her research involves analyzing, modelling and assessing the transition of urban systems towards sustainability. She looks in particular at how we can better understand the dynamics of urban metabolism, what characterizes a sustainable city, and what drives and hinders transformation processes. She does so by combining knowledge from social, natural and data science. Her research focuses on food, energy, and sustainable living and transport in urban systems. In Switzerland, Binder was appointed to the Research Council, Programs Division of the Swiss National Science Foundation (SNSF) in 2016 and serves on the Steering Committee of the SNSF’s National Research Program 71, “Managing Energy Consumption” and the Swiss Competence Centers for Energy Research (SCCER). She is also a member of the Steering Board on Sustainability Research for the Swiss Academies of Arts and Sciences. In 2019, she was elected as a member of the University Council of the University of Munich (LMU). At EPFL, Binder is the academic director of Design Together, a cross-disciplinary teaching initiative. She was appointed to the management team of the Energy Center in 2018 and as head of the working group on EPFL’s energy and sustainability strategy in 2019.

Related concepts (32)

Measurement uncertainty

Uncertainty quantification

Sensitivity analysis

Stock

Stock market