Three Domain Modelling and Uncertainty Analysis

Atom Mirakyan

ISBN 10: 3319195719 / ISBN 13: 9783319195711

Published by Springer, Springer Jun 2015, 2015

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -This book examines in detail the planning and modelling of local infrastructure like energy systems, including the complexities resulting from various uncertainties. Readers will discover the individual steps involved in infrastructure planning in cities and territories, as well as the primary requirements and supporting quality factors. Further topics covered concern the field of uncertainty and its synergies with infrastructure planning. Theories, methodological backgrounds and concrete case studies will not only help readers to understand the proposed methodologies for modelling and uncertainty analysis, but will also show them how these approaches are implemented in practice.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 228 pp. Englisch.

Seller Inventory # 9783319195711

Bibliographic Details

• Title: Three Domain Modelling and Uncertainty Analysis
• Publisher: Springer, Springer Jun 2015
• Publication Date: 2015
• Language: English
• ISBN 10: 3319195719
• ISBN 13: 9783319195711
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 18D millimeters 241 millimeters width by 160 millimeters height by 18 millimeters depth
• Weight: 512 grams

About this title

Synopsis

This book examines in detail the planning and modelling of local infrastructure like energy systems, including the complexities resulting from various uncertainties. Readers will discover the individual steps involved in infrastructure planning in cities and territories, as well as the primary requirements and supporting quality factors. Further topics covered concern the field of uncertainty and its synergies with infrastructure planning. Theories, methodological backgrounds and concrete case studies will not only help readers to understand the proposed methodologies for modelling and uncertainty analysis, but will also show them how these approaches are implemented in practice.

About the Author

Atom Mirakyan studied engineering at the Technical University in Erevan/Armenia (Dipl.-Ing.) and Energy economics (Dipl.-Energy economics) at University of apply science in Darmstadt/Germany. He works at Technical University in Darmstadt as scientist in the field of energy planning and modelling for 5 years. As energy consultant he does energy planning and regional development consultancy for cities and territories for 4 years. In 2007 he joined the European Institute for Energy Research working on energy planning and modelling. His research focus is techno-economic and ecological modelling and planning of energy systems, uncertainty analysis and life cycle assessment. He has also developed methods for innovative support of planning and system design. He has done his PhD about Methodological frameworks for uncertainty analysis in long range integrated energy planning for cities and territories (IEPCT) at University of Strasbourg in 2014. In his PhD frame developed uncertainty analysis approaches have been successfully implemented in megacity studies, in context of energy planning and modelling.

Roland De Guio is professor of Industrial and Systems Engineering at I.N.S.A Graduate School of Science and Technology, Strasbourg France. Since 2000, he manages research activities about applications of theory of inventive problem solving on technical and non-technical multidisciplinary problems. Among his activities he worked on long run technological forecast since 2004 and started his collaboration with EIFER in the area of energy planning in 2010.