Development of an Information System for the Assessment of Different Bioenergy Concepts Regarding Sustainable Development

From an environmental, economic, social, and technical perspective, this chapter focuses on a sustainability assessment of concepts for the energetic use of biomass in order to provide decision support for different options of biomass use. In rural areas, bioenergy concepts are of particular interest in this context. These can for example be biogas plants which are operated by electric service providers, or a biogas plant owned by one farmer, or bioenergy villages. The topic relates to the development of suitable criteria and to the adaption of existing indicator systems to the special requirements of sustainable biomass use for energy. The results of this sustainability assessment consider the different biomass concepts’ advantages and disadvantages, which are illustrated by multi-criteria valuation methods. Furthermore, the sustainability assessment of bioenergy concepts has specific requirements with regard to an information system in terms of data and information’s demand and supply side. DOI: 10.4018/978-1-4666-0882-5.ch2.6

[1]  G. A. Miller.  THE PSYCHOLOGICAL REVIEW THE MAGICAL NUMBER SEVEN, PLUS OR MINUS TWO: SOME LIMITS ON OUR CAPACITY FOR PROCESSING INFORMATION 1 , 1956 .

[2]  Raimo P. Hämäläinen,et al.  The threat of weighting biases in environmental decision analysis , 2008 .

[3]  Herbert A. Simon,et al.  Why a Diagram is (Sometimes) Worth Ten Thousand Words , 1987 .

[4]  Helga Kanning,et al.  Auswirkungen des Energiepflanzenanbaus auf die Landschaft. Am Beispiel des Maisanbaus für die Biogasproduktion in Niedersachsen , 2009 .

[5]  Michael Scaife,et al.  Cognitive Science Approaches To Understanding Diagrammatic Representations , 2001, Artificial Intelligence Review.

[6]  Reinhard. Loske,et al.  Zukunftsfähiges Deutschland : ein Beitrag zu einer global nachhaltigen Entwicklung ; Studie des Wuppertal-Instituts für Klima, Umwelt, Energie GmbH , 1996 .

[7]  C. Hwang.  Multiple Objective Decision Making - Methods and Applications: A State-of-the-Art Survey , 1979 .

[8]  Otto Rentz,et al.  Sensitivity analyses in multi‐attribute decision support for off‐site nuclear emergency and recovery management , 2007 .

[9]  Raimo P. Hämäläinen,et al.  Participatory multicriteria decision analysis with Web-HIPRE: a case of lake regulation policy , 2004, Environ. Model. Softw..

[10]  Jon Oberlander,et al.  Graphical effects in learning logic: reasoning, representation and individual differences , 2019, Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society.

[11]  Dietrich Dörner,et al.  Die Logik des Misslingens : strategisches Denken in komplexen Situationen , 1989 .

[12]  Theodor J. Stewart,et al.  Multiple criteria decision analysis - an integrated approach , 2001 .

[13]  Patrick Hofstetter,et al.  Perspectives in Life Cycle Impact Assessment: A Structured Approach to Combine Models of the Technosphere, Ecosphere and Valuesphere , 2012 .

[14]  Wolff-Michael Roth,et al.  Of Cannibals, Missionaries, and Converts: Graphing Competencies from Grade 8 to Professional Science Inside (Classrooms) and Outside (Field/Laboratory) , 1999 .

[15]  Timothy A. Volk,et al.  Multi criteria analysis for bioenergy systems assessments , 2009 .

[16]  Stewart Marshall,et al.  Encyclopedia of developing regional communities with information and communication technology. , 2006 .

[17]  Ortwin Renn,et al.  Welt im Wandel: Erhaltung und nachhaltige Nutzung der Biosphäre , 1999 .

[18]  Heiner Stuckenschmidt,et al.  Using Environmental Information Efficiently: Sharing Data and Knowledge from Heterogeneous Sources , 2001 .

[19]  Liliana Gamba.  Erste Modellentwicklung zur nachhaltigen Nutzung von Biomasse , 2008 .

[20]  J. Koppejan,et al.  The Handbook of Biomass Combustion and Co-firing , 2008 .

[21]  H. Zimmermann.  Fuzzy sets, decision making, and expert systems , 1987 .

[22]  Paul Brna,et al.  Supporting the use of external representation in problem solving: the need for flexible learning environments , 1995 .

[24]  Valentin Bertsch,et al.  Multi-Criteria Decision Support for Process Design , 2005 .

[25]  M. Rode,et al.  Effects of the cultivation of energy plants on the landscape - the example of maize production for biomethanation in Lower Saxony. , 2009 .

[26]  Christina V Haaren,et al.  Integrated landscape planning and remuneration of agri-environmental services. Results of a case study in the Fuhrberg region of Germany. , 2008, Journal of environmental management.

[27]  Marian Petre,et al.  Learning to Read Graphics: Some Evidence that 'Seeing' an Information Display is an Acquired Skill , 1993, J. Vis. Lang. Comput..

[28]  Otto Rentz,et al.  Multi-criteria decision support and stakeholder involvement in emergency management , 2006 .

[29]  G. Munda.  Multicriteria Evaluation in a Fuzzy Environment: Theory and Applications in Ecological Economics , 1995 .

[30]  F. Vester,et al.  Die Kunst vernetzt zu denken : Ideen und Werkzeuge für einen neuen Umgang mit Komplexität : ein Bericht an den Club of Rome , 2011 .

[31]  Christine Rösch,et al.  Energy production from grassland – Assessing the sustainability of different process chains under German conditions , 2009 .

[32]  Simon French,et al.  Multi-criteria decision support and evaluation of strategies for nuclear remediation management , 2009 .