Developing an AHP based decision model for energy systems policy making

Energy transitions have been increasingly researched as the security of UK's fossil fuel sources is of major concern for the next years to come. Also, the enforcement of Kyoto Protocol with several other agreements led to the UK's Carbon Emission Reduction Target (CERT) requiring savings in the amount of CO2 emitted by households. In fact, there is growing pressure to reduce the amount of emission and the non-renewable resources used. In order for the policy makers to decide on an effective transition pathway which contributes to reaching to the above mentioned objectives, different alternatives need to be compared against each other. This decision has to be made based on a series of socio-technical criteria which are both of quantitative and qualitative nature. This paper proposes a novel decision support tool for decision makers to evaluate the consequences of different energy usage and transition pathways. The proposed tool is based on Analytic Hierarchy Process (AHP), a Multi Criteria Decision Making Model (MCDM) enabling the users to incorporate both tangible and intangible decision criteria in energy systems policy making which traditionally has mostly been just based on technical aspects of the decision problem.

[1]  Ivo Bouwmans,et al.  Socio-Technical Complexity in Energy Infrastructures Conceptual Framework to Study the Impact of Domestic Level Energy Generation, Storage and Exchange , 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

[2]  Frank W. Geels,et al.  The ongoing energy transition: Lessons from a socio-technical, multi-level analysis of the Dutch electricity system (1960-2004) , 2007 .

[3]  M. Newborough,et al.  Impact of micro-combined heat-and-power systems on energy flows in the UK electricity supply industry , 2006 .

[4]  Ernest H. Forman,et al.  Facts and fictions about the analytic hierarchy process , 1993 .

[5]  Koen Steemers,et al.  Can microgrids make a major contribution to UK energy supply , 2006 .

[6]  Zhongsheng Hua,et al.  On the extent analysis method for fuzzy AHP and its applications , 2008, Eur. J. Oper. Res..

[7]  F. Geels From sectoral systems of innovation to socio-technical systems: Insights about dynamics and change from sociology and institutional theory , 2004 .

[8]  T. Saaty,et al.  The Analytic Hierarchy Process , 1985 .

[9]  Toshihiko Nakata,et al.  Application of energy system models for designing a low-carbon society , 2011 .

[10]  Thomas L. Saaty,et al.  DECISION MAKING WITH THE ANALYTIC HIERARCHY PROCESS , 2008 .

[11]  Thomas L. Saaty,et al.  Theory and Applications of the Analytic Network Process: Decision Making With Benefits, Opportunities, Costs, and Risks , 2005 .

[12]  T. Saaty Relative measurement and its generalization in decision making why pairwise comparisons are central in mathematics for the measurement of intangible factors the analytic hierarchy/network process , 2008 .

[13]  Ken Green,et al.  A conceptual framework for exploring transitions to decarbonised energy systems in the United Kingdom , 2007 .

[14]  Daniel S. Kirschen,et al.  Centralised and distributed electricity systems , 2008 .

[15]  G. P. Hammond,et al.  Developing transition pathways for a low carbon electricity system in the UK , 2008, 2008 First International Conference on Infrastructure Systems and Services: Building Networks for a Brighter Future (INFRA).