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

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  • Kikuchi, Yasunori
  • Kimura, Seiichiro
  • Okamoto, Yoshitaka
  • Koyama, Michihisa

Abstract

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.

Suggested Citation

  • Kikuchi, Yasunori & Kimura, Seiichiro & Okamoto, Yoshitaka & Koyama, Michihisa, 2014. "A scenario analysis of future energy systems based on an energy flow model represented as functionals of technology options," Applied Energy, Elsevier, vol. 132(C), pages 586-601.
    • Handle: RePEc:eee:appene:v:132:y:2014:i:c:p:586-601
    DOI: 10.1016/j.apenergy.2014.07.005
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    as
    1. Kiriyama, Eriko & Kajikawa, Yuya, 2014. "A multilayered analysis of energy security research and the energy supply process," Applied Energy, Elsevier, vol. 123(C), pages 415-423.
    2. Bouffard, François & Kirschen, Daniel S., 2008. "Centralised and distributed electricity systems," Energy Policy, Elsevier, vol. 36(12), pages 4504-4508, December.
    3. Heyne, Stefan & Harvey, Simon, 2013. "Assessment of the energy and economic performance of second generation biofuel production processes using energy market scenarios," Applied Energy, Elsevier, vol. 101(C), pages 203-212.
    4. Ichinohe, Masayuki & Endo, Eiichi, 2006. "Analysis of the vehicle mix in the passenger-car sector in Japan for CO2 emissions reduction by a MARKAL model," Applied Energy, Elsevier, vol. 83(10), pages 1047-1061, October.
    5. Kannan, Ramachandran & Strachan, Neil, 2009. "Modelling the UK residential energy sector under long-term decarbonisation scenarios: Comparison between energy systems and sectoral modelling approaches," Applied Energy, Elsevier, vol. 86(4), pages 416-428, April.
    6. Lee, Duk Hee & Park, Sang Yong & Hong, Jong Chul & Choi, Sang Jin & Kim, Jong Wook, 2013. "Analysis of the energy and environmental effects of green car deployment by an integrating energy system model with a forecasting model," Applied Energy, Elsevier, vol. 103(C), pages 306-316.
    7. McDowall, William & Eames, Malcolm, 2006. "Forecasts, scenarios, visions, backcasts and roadmaps to the hydrogen economy: A review of the hydrogen futures literature," Energy Policy, Elsevier, vol. 34(11), pages 1236-1250, July.
    8. Koo, Jamin & Park, Kyungtae & Shin, Dongil & Yoon, En Sup, 2011. "Economic evaluation of renewable energy systems under varying scenarios and its implications to Korea's renewable energy plan," Applied Energy, Elsevier, vol. 88(6), pages 2254-2260, June.
    9. Kannan, Ramachandran, 2011. "The development and application of a temporal MARKAL energy system model using flexible time slicing," Applied Energy, Elsevier, vol. 88(6), pages 2261-2272, June.
    10. Yamagata, Yoshiki & Seya, Hajime, 2013. "Simulating a future smart city: An integrated land use-energy model," Applied Energy, Elsevier, vol. 112(C), pages 1466-1474.
    11. Gracceva, Francesco & Zeniewski, Peter, 2014. "A systemic approach to assessing energy security in a low-carbon EU energy system," Applied Energy, Elsevier, vol. 123(C), pages 335-348.
    12. Gebremedhin, Alemayehu, 2012. "Introducing District Heating in a Norwegian town – Potential for reduced Local and Global Emissions," Applied Energy, Elsevier, vol. 95(C), pages 300-304.
    13. Tonini, Davide & Astrup, Thomas, 2012. "LCA of biomass-based energy systems: A case study for Denmark," Applied Energy, Elsevier, vol. 99(C), pages 234-246.
    14. Takeshita, Takayuki, 2009. "A strategy for introducing modern bioenergy into developing Asia to avoid dangerous climate change," Applied Energy, Elsevier, vol. 86(Supplemen), pages 222-232, November.
    15. Wetterlund, Elisabeth & Söderström, Mats, 2010. "Biomass gasification in district heating systems - The effect of economic energy policies," Applied Energy, Elsevier, vol. 87(9), pages 2914-2922, September.
    16. Nishimura, Kazuhiko & Hondo, Hiroki & Uchiyama, Yohji, 2001. "Comparative analysis of embodied liabilities using an inter-industrial process model: gasoline- vs. electro-powered vehicles," Applied Energy, Elsevier, vol. 69(4), pages 307-320, August.
    17. Benjamin McLellan & Qi Zhang & Hooman Farzaneh & N. Agya Utama & Keiichi N. Ishihara, 2012. "Resilience, Sustainability and Risk Management: A Focus on Energy," Challenges, MDPI, vol. 3(2), pages 1-30, August.
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