Three Domain Modelling and Uncertainty Analysis: Applications in Long Range Infrastructure Planning: Energy Systems
Autor Atom Mirakyan, Roland De Guioen Limba Engleză Hardback – 10 iun 2015
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Specificații
ISBN-13: 9783319195711
ISBN-10: 3319195719
Pagini: 199
Ilustrații: XX, 206 p. 90 illus., 41 illus. in color.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.5 kg
Ediția:2015
Editura: Springer International Publishing
Colecția Springer
Seria Energy Systems
Locul publicării:Cham, Switzerland
ISBN-10: 3319195719
Pagini: 199
Ilustrații: XX, 206 p. 90 illus., 41 illus. in color.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.5 kg
Ediția:2015
Editura: Springer International Publishing
Colecția Springer
Seria Energy Systems
Locul publicării:Cham, Switzerland
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Public țintă
ResearchCuprins
Introduction.- Energy infrastructure planning in cities and territories, quality factors of methods for infrastructure planning.- 3-domain modelling.- Conceptual basis of uncertainty in IEPCT.- Multi-method approaches for uncertainty Analysis.- Implementation of discussed uncertainty analysis approaches in case studies.- Evaluation and discussion.- Overall conclusion and future research.
Notă biografică
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.
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.
Textul de pe ultima copertă
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.
Caracteristici
Analyzes the complexity and uncertainty in infrastructure planning Provides general information on the concepts of uncertainty and risk in this context Showcases best practices and international case studies from the business sector Includes supplementary material: sn.pub/extras