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Assessing wood-based synthetic natural gas technologies using the SWISS-MARKAL model

Author

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  • Schulz, Thorsten F.
  • Barreto, Leonardo
  • Kypreos, Socrates
  • Stucki, Samuel

Abstract

In future, new biomass technologies can gain significant importance in the Swiss energy sector. Therefore, this paper assesses the economic conditions under which new biomass technologies become competitive. The focus of this assessment is on the production of synthetic natural gas (bio-SNG) from wood in a methanation plant. The assessment is conducted with the cost-optimization model SWISS-MARKAL (MARKet ALlocation). SWISS-MARKAL projects future technology investments and provides an integrated analysis of primary, secondary, final and end-use energy in Switzerland. In addition to a reference scenario, the effects of increasing oil and gas prices, the effects of allocating subsidies to the methanation plant and the effects of competition between the methanation plant and a biomass-based Fischer–Tropsch (FT) synthesis are evaluated. Moreover, a sensitivity analysis is performed by varying investment costs of the methanation plant. The results are in favour of bio-SNG in the transportation sector where the synergetic use of bio-SNG and natural gas reduces the dependence on oil imports and the level of CO2 emissions.

Suggested Citation

  • Schulz, Thorsten F. & Barreto, Leonardo & Kypreos, Socrates & Stucki, Samuel, 2007. "Assessing wood-based synthetic natural gas technologies using the SWISS-MARKAL model," Energy, Elsevier, vol. 32(10), pages 1948-1959.
    • Handle: RePEc:eee:energy:v:32:y:2007:i:10:p:1948-1959
    DOI: 10.1016/j.energy.2007.03.006
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    Cited by:

    1. Sarica, Kemal & Tyner, Wallace E., 2013. "Analysis of US renewable fuels policies using a modified MARKAL model," Renewable Energy, Elsevier, vol. 50(C), pages 701-709.
    2. Connolly, D. & Mathiesen, B.V. & Ridjan, I., 2014. "A comparison between renewable transport fuels that can supplement or replace biofuels in a 100% renewable energy system," Energy, Elsevier, vol. 73(C), pages 110-125.
    3. Yong Zeng & Yanpeng Cai & Guohe Huang & Jing Dai, 2011. "A Review on Optimization Modeling of Energy Systems Planning and GHG Emission Mitigation under Uncertainty," Energies, MDPI, vol. 4(10), pages 1-33, October.
    4. Aryanpur, Vahid & Balyk, Olexandr & Daly, Hannah & Ó Gallachóir, Brian & Glynn, James, 2022. "Decarbonisation of passenger light-duty vehicles using spatially resolved TIMES-Ireland Model," Applied Energy, Elsevier, vol. 316(C).
    5. Steubing, Bernhard & Ballmer, Isabel & Gassner, Martin & Gerber, Léda & Pampuri, Luca & Bischof, Sandro & Thees, Oliver & Zah, Rainer, 2014. "Identifying environmentally and economically optimal bioenergy plant sizes and locations: A spatial model of wood-based SNG value chains," Renewable Energy, Elsevier, vol. 61(C), pages 57-68.
    6. Johansson, Maria T., 2013. "Bio-synthetic natural gas as fuel in steel industry reheating furnaces – A case study of economic performance and effects on global CO2 emissions," Energy, Elsevier, vol. 57(C), pages 699-708.
    7. Panos, Evangelos & Kannan, Ramachandran, 2016. "The role of domestic biomass in electricity, heat and grid balancing markets in Switzerland," Energy, Elsevier, vol. 112(C), pages 1120-1138.
    8. Jablonski, Sophie & Strachan, Neil & Brand, Christian & Bauen, Ausilio, 2010. "The role of bioenergy in the UK's energy future formulation and modelling of long-term UK bioenergy scenarios," Energy Policy, Elsevier, vol. 38(10), pages 5799-5816, October.
    9. Marian Leimbach & Nico Bauer & Lavinia Baumstark & Michael Lüken & Ottmar Edenhofer, 2010. "Technological Change and International Trade -Insights from REMIND-R," The Energy Journal, , vol. 31(1_suppl), pages 109-136, June.
    10. Ren, Hongbo & Zhou, Weisheng & Nakagami, Ken'ichi & Gao, Weijun, 2010. "Integrated design and evaluation of biomass energy system taking into consideration demand side characteristics," Energy, Elsevier, vol. 35(5), pages 2210-2222.
    11. Schmid, Eva & Knopf, Brigitte, 2012. "Ambitious mitigation scenarios for Germany: A participatory approach," Energy Policy, Elsevier, vol. 51(C), pages 662-672.
    12. Li, Sheng & Jin, Hongguang & Gao, Lin, 2013. "Cogeneration of substitute natural gas and power from coal by moderate recycle of the chemical unconverted gas," Energy, Elsevier, vol. 55(C), pages 658-667.
    13. Åberg, M. & Henning, D., 2011. "Optimisation of a Swedish district heating system with reduced heat demand due to energy efficiency measures in residential buildings," Energy Policy, Elsevier, vol. 39(12), pages 7839-7852.
    14. Nicolas Weidmann & Ramachandran Kannan & Hal Turton, 2012. "Swiss Climate Change and Nuclear Policy: A Comparative Analysis Using an Energy System Approach and a Sectoral Electricity Model," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 148(II), pages 275-316, June.
    15. Moret, Stefano & Codina Gironès, Víctor & Bierlaire, Michel & Maréchal, François, 2017. "Characterization of input uncertainties in strategic energy planning models," Applied Energy, Elsevier, vol. 202(C), pages 597-617.
    16. Åhman, Max, 2010. "Biomethane in the transport sector--An appraisal of the forgotten option," Energy Policy, Elsevier, vol. 38(1), pages 208-217, January.

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