TY - CHAP

T1 - Computational modeling of material flow networks

AU - Moeller, Andreas

PY - 2015

Y1 - 2015

N2 - Material Flow Networks (MFN) are a modeling instrument in the field of material flow analysis (MFA) that helps to characterize current or future material and energy flows and stocks. Often, efficiency analyses such as life cycle assessments and cost accounting use such models to calculate the relationship between positive outcomes and negative impacts. The systematic integration of stocks makes it possible to analyze infrastructures that provide services, which is necessary in order to assess the effects of replacing material goods by services. The first part of this paper outlines Material Flow Networks as a period-oriented accounting system that systematically integrates stock and flow accounting. The second part is concerned with the question of how to construct the models and calculate data. From this perspective, the instrument becomes a modeling framework.

AB - Material Flow Networks (MFN) are a modeling instrument in the field of material flow analysis (MFA) that helps to characterize current or future material and energy flows and stocks. Often, efficiency analyses such as life cycle assessments and cost accounting use such models to calculate the relationship between positive outcomes and negative impacts. The systematic integration of stocks makes it possible to analyze infrastructures that provide services, which is necessary in order to assess the effects of replacing material goods by services. The first part of this paper outlines Material Flow Networks as a period-oriented accounting system that systematically integrates stock and flow accounting. The second part is concerned with the question of how to construct the models and calculate data. From this perspective, the instrument becomes a modeling framework.

KW - Accounting

KW - Dynamic material flow analysis

KW - M Steady-state modeling

KW - Material flow network

KW - Process flowsheeting

KW - Sustainability sciences, Communication

UR - http://www.scopus.com/inward/record.url?scp=84927621774&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-09228-7_18

DO - 10.1007/978-3-319-09228-7_18

M3 - Article in conference proceedings

AN - SCOPUS:84927621774

SN - 978-3-319-09227-0

VL - 310

T3 - Advances in Intelligent Systems and Computing

SP - 301

EP - 311

BT - ICT Innovations for Sustainability

A2 - Hilty, Lorenz M.

A2 - Aebischer, Bernard

PB - Springer International Publishing AG

ER -