A scenario analysis of future energy systems based on an energy flow model represented as functionals of technology options

The design of energy systems has become an issue all over the world. A single optimal system cannot be suggested because the availability of infrastructure and resources and the acceptability of the system should be discussed locally, involving all related stakeholders in the energy system. In particular, researchers and engineers of technologies related to energy systems should be able to perform the forecasting and roadmapping of future energy systems and indicate quantitative results of scenario analyses. We report an energy flow model developed for analysing scenarios of future Japanese energy systems implementing a variety of feasible technology options. The model was modularized and represented as functionals of appropriate technology options, which enables the aggregation and disaggregation of energy systems by defining functionals for single technologies, packages integrating multi-technologies, and mini-systems such as regions implementing industrial symbiosis. Based on the model, the combinations of technologies on both energy supply and demand sides can be addressed considering not only the societal scenarios such as resource prices, economic growth and population change but also the technical scenarios including the development and penetration of energy-related technologies such as distributed solid oxide fuel cells in residential sectors and new-generation vehicles, and the replacement and shift of current technologies such as heat pumps for air conditioning and centralized power generation. The developed model consists of two main modules; namely, a power generation dispatching module for the Japanese electricity grid and a demand-side energy flow module based on a sectorial energy balance table. Both modules are divided and implemented as submodules represented as functionals of supply- and demand-side technology options. Using the developed model, three case studies were performed. Required data were collected through workshops involving researchers and engineers in the energy technology field in Japan. The functionals of technologies were defined on the basis of the availability of data and understanding of the current and future energy systems. Through case studies, it was demonstrated that the potential of energy technologies can be analysed by the developed model considering the mutual relationships of technologies. The contribution of technologies to, e.g., the reduction in greenhouse gas emissions should be carefully examined by quantitative analyses of interdependencies of the technology options.

[1]  W. McDowall,et al.  Forecasts, scenarios, visions, backcasts and roadmaps to the hydrogen economy: A review of the hydrogen futures literature , 2006 .

[2]  Yuya Kajikawa,et al.  Utilizing risk analysis and scenario planning for technology roadmapping: A case in energy technologies , 2011, 2011 Proceedings of PICMET '11: Technology Management in the Energy Smart World (PICMET).

[3]  Wolfgang Marquardt,et al.  OntoCAPE - A (re)usable ontology for computer-aided process engineering , 2009, Comput. Chem. Eng..

[4]  Simon Harvey,et al.  Assessment of the energy and economic performance of second generation biofuel production processes using energy market scenarios , 2011 .

[5]  J. Ehrenfeld,et al.  Organizing Self‐Organizing Systems , 2012 .

[6]  Davide Tonini,et al.  LCA of biomass-based energy systems: A case study for Denmark , 2012 .

[7]  Steven B. Kraines,et al.  Scenarios of solid oxide fuel cell introduction into Japanese society , 2004 .

[8]  R. Kannan,et al.  Modelling the UK residential energy sector under long-term decarbonisation scenarios: Comparison between energy systems and sectoral modelling approaches , 2009 .

[9]  Hiroki Hondo,et al.  Comparative analysis of embodied liabilities using an inter-industrial process model: gasoline- vs. electro-powered vehicles , 2001 .

[10]  K. Hungerbühler,et al.  Design of recycling system for poly(methyl methacrylate) (PMMA). Part 2: process hazards and material flow analysis , 2014, The International Journal of Life Cycle Assessment.

[11]  Eiichi Endo,et al.  Analysis of the vehicle mix in the passenger-car sector in Japan for CO2 emissions reduction by a MARKAL model , 2006 .

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

[13]  Yasunori Kikuchi,et al.  A graphical representation for consequential life cycle assessment of future technologies—Part 2: two case studies on choice of technologies and evaluation of technology improvements , 2012, The International Journal of Life Cycle Assessment.

[14]  F. Gracceva,et al.  A systemic approach to assessing energy security in a low-carbon EU energy system , 2014 .

[15]  David Wallace,et al.  Integrated model framework for the evaluation of an SOFC/GT system as a centralized power source , 2004 .

[16]  Mats Söderström,et al.  Biomass gasification in district heating systems - The effect of economic energy policies , 2010 .

[17]  Dongil Shin,et al.  Economic evaluation of renewable energy systems under varying scenarios and its implications to Korea’s renewable energy plan , 2011 .

[18]  Karsten-Ulrich Klatt,et al.  Perspectives for process systems engineering - Personal views from academia and industry , 2009, Comput. Chem. Eng..

[19]  Aie,et al.  Energy Technology Perspectives 2010 , 2009 .

[20]  Tugrul U. Daim,et al.  Strategic planning decisions in the high tech industry: methods and cases, Springer/Verlag , 2012 .

[21]  Kenshi Itaoka,et al.  Present Status and Points of Discussion for Future Energy Systems in Japan from the Aspects of Technology Options , 2014 .

[22]  Ramachandran Kannan,et al.  The development and application of a temporal MARKAL energy system model using flexible time slicing , 2011 .

[23]  Wenming Yang,et al.  Advances in heat pump systems: A review , 2010 .

[24]  Takayuki Takeshita,et al.  A strategy for introducing modern bioenergy into developing Asia to avoid dangerous climate change , 2009 .

[25]  Mitsuhiro Kubota,et al.  Tackling Power Outages in Japan: The Earthquake Compels a Swift Transformation of the Power Supply , 2011 .

[26]  Duk Hee Lee,et al.  Analysis of the energy and environmental effects of green car deployment by an integrating energy system model with a forecasting model , 2013 .

[27]  Alemayehu Gebremedhin,et al.  Introducing District Heating in a Norwegian town – Potential for reduced Local and Global Emissions , 2012 .

[28]  Yasunori Kikuchi,et al.  A graphical representation for consequential life cycle assessment of future technologies. Part 1: methodological framework , 2011, The International Journal of Life Cycle Assessment.

[29]  Benjamin C. McLellan,et al.  Resilience, Sustainability and Risk Management: A Focus on Energy , 2012 .

[30]  Wolfgang Marquardt,et al.  OntoCAPE - A large-scale ontology for chemical process engineering , 2007, Eng. Appl. Artif. Intell..

[31]  Yoshiki Yamagata,et al.  Simulating a future smart city: An integrated land use-energy model , 2013 .

[32]  Yuya Kajikawa,et al.  A multilayered analysis of energy security research and the energy supply process , 2014 .

[33]  Yasuhiro Ikeboh The Latest Technology of Refrigerator , 2012 .

[34]  Yoshiyuki Takeda,et al.  Tracking emerging technologies in energy research : toward a roadmap for sustainable energy , 2008 .