Decision support for energy savings and emissions trading in industry

LifeSaver project congregates the development of contextualized decision support approach for energy savings and emissions trading. This approach aims at supporting industrial users in selecting the best alternative to ensure minimization of energy consumption during the production process as well as support to emissions trading market. LifeSaver provides decision support for: (i) immediate reaction and (ii) process reconfiguration and Emission Trading System. This categorization serves as base for defining the methods to be applied. The support for immediate reaction uses Case-based Reasoning together with probabilistic analysis. Process reconfiguration and ETS is implemented through the use of multi-criteria decision analysis based on MACBETH method, which has been adapted for LifeSaver specific characteristics. The paper proposes categorization of approaches, main criteria involved in the process and associated algorithms. Moreover the approaches proposed were successfully tested in industrial environment and the results obtained are here presented.

[1]  H. Simon,et al.  Administrative Behavior: A Study of Decision-Making Processes in Administrative Organization. , 1959 .

[2]  Paul Schönsleben,et al.  Integrating energy efficiency performance in production management – gap analysis between industrial needs and scientific literature , 2011 .

[3]  Neil Brown,et al.  An advanced energy management framework to promote energy awareness , 2013 .

[4]  C. B. E. Costa,et al.  Facilitating bid evaluation in public call for tenders: a socio-technical approach , 2002 .

[5]  Jiří Jaromír Klemeš,et al.  Industrial implementation issues of Total Site Heat Integration , 2013 .

[6]  Vytautas Martinaitis,et al.  A two-factor method for appraising building renovation and energy efficiency improvement projects , 2007 .

[7]  C. B. E. Costa,et al.  MACBETH — An Interactive Path Towards the Construction of Cardinal Value Functions , 1994 .

[8]  Salvatore Manco,et al.  Energy efficiency measurement in industrial processes , 2012 .

[9]  Conor J. Walsh,et al.  Barriers to improving energy efficiency within the process industries with a focus on low grade heat utilisation , 2012 .

[10]  Simon Harvey,et al.  Framework methodology for increased energy efficiency and renewable feedstock integration in industrial clusters , 2013 .

[11]  Rui Neves-Silva,et al.  Decision on the Best Retrofit Scenario to Maximize Energy Efficiency in a Building , 2011 .

[12]  Heng Li,et al.  Application of the analytic hierarchy process (AHP) in multi-criteria analysis of the selection of intelligent building systems , 2008 .

[13]  Simon Harvey,et al.  Targeting for energy efficiency and improved energy collaboration between different companies using , 2011 .

[14]  Patrik Thollander,et al.  Barriers to industrial energy efficiency in foundries: a European comparison , 2013 .

[15]  Andrew B. Whinston,et al.  Decision Support Systems: A Knowledge Based Approach : , 1996 .

[16]  Ingo Kastner,et al.  Implementing web-based interventions to promote energy efficient behavior at organizations – a multi-level challenge , 2014 .

[17]  Dušan Gvozdenac,et al.  Applied Industrial Energy and Environmental Management , 2008 .

[18]  Magnus Karlsson,et al.  The MIND method: A decision support for optimization of industrial energy systems - Principles and case studies , 2011 .

[19]  R. Neves-Silva,et al.  Risk based decision support system for life cycle management of industrial plants , 2011, 2011 9th IEEE International Conference on Industrial Informatics.

[20]  Iztok Palcic,et al.  Exploring the impact of energy efficiency technologies on manufacturing firm performance , 2013 .

[21]  José Antonio Moya,et al.  The potential for improvements in energy efficiency and CO2 emissions in the EU27 iron and steel industry under different payback periods , 2013 .

[22]  Jiří Jaromír Klemeš,et al.  The Environmental Performance Strategy Map: an integrated LCA approach to support the strategic decision-making process , 2009 .

[23]  Vladimir Dobes,et al.  New tool for promotion of energy management and cleaner production on no-cure no-pay , 2010 .

[24]  Evangelos Grigoroudis,et al.  Decision support methodologies on the energy efficiency and energy management in buildings , 2009 .

[25]  Carlos A. Bana e Costa,et al.  On the mathematical foundations of MACBETH , 2016 .

[26]  Aie,et al.  Tracking Industrial Energy Efficiency and CO2 Emissions , 2007 .

[27]  D. Kolokotsa,et al.  Artificial Intelligence in Buildings: A Review of the Application of Fuzzy Logic , 2007 .

[28]  Carlos A. Bana e Costa,et al.  General Overview of the Macbeth Approach , 1995 .

[29]  Jiří Jaromír Klemeš,et al.  Process integration for energy saving and pollution reduction , 2011 .

[30]  Jiří Jaromír Klemeš,et al.  Total Site targeting with process specific minimum temperature difference (ΔTmin) , 2012 .

[31]  Ferenc Friedler,et al.  Process integration, modelling and optimisation for energy saving and pollution reduction , 2009 .

[32]  Carlos A. Bana e Costa,et al.  A multicriteria decision analysis model for faculty evaluation , 2012 .

[33]  Nasrin R. Khalili,et al.  Application of multi-criteria decision analysis in design of sustainable environmental management system framework , 2013 .

[34]  Janet L. Kolodner,et al.  Case-Based Reasoning , 1989, IJCAI 1989.

[35]  Peter Sandberg,et al.  Industrial energy efficiency: the need for investment decision support from a manager perspective , 2003 .

[36]  Carlos A. Bana e Costa,et al.  A career choice problem: An example of how to use MACBETH to build a quantitative value model based on qualitative value judgments , 2004, Eur. J. Oper. Res..