An integrated scenario analysis for future zero-carbon energy system

Summary An integrated scenario analysis methodology has been proposed for zero-carbon energy system in perspectives of social-economy, environment and technology. By using the methodology, service demands in all sectors were estimated based on social-economic data, and then the best technology and energy mixes were obtained to meet the service demands. The methodology was applied to Japan toward zero-carbon energy system out to the year of 2100, and three different scenarios of nuclear power development are considered in light of the Fukushima accident: (i) no further introduction of nuclear, (ii) fixed portion and (iii) no limit of nuclear. The results show that, zero-carbon energy scenario can be attained in the year 2100 when electricity will supply 75% of total energy consumption, and three power generation scenarios were proposed, 30% renewable and 70% gas-carbon capture and storage (CCS) in Scenario 1, respective one-third nuclear, renewable and gas-CCS in Scenario 2, and 60% nuclear power, 20% renewable and 10% gas-CCS in Scenario 3. Finally, Scenario 2 is rated as the most balanced scenario by putting emphasis on the availability of diversified power source, considering the inter-comparison of the three scenarios from the four aspects of cost, CO2 emission, risk and diversity. Copyright © 2015 John Wiley & Sons, Ltd.

[1]  Anulark Techanitisawad,et al.  Power generation expansion planning with emission control: a nonlinear model and a GA‐based heuristic approach , 2006 .

[2]  O. Edenhofer,et al.  Climate change 2014 : mitigation of climate change , 2014 .

[3]  Qi Zhang,et al.  Economic and environmental analysis of power generation expansion in Japan considering Fukushima nuclear accident using a multi-objective optimization model , 2012 .

[4]  Roberto Dones,et al.  Severe accidents in the energy sector: comparative perspective. , 2004, Journal of hazardous materials.

[5]  Kadir Erkan,et al.  Power generation expansion planning with adaptive simulated annealing genetic algorithm , 2006 .

[6]  Socrates Kypreos,et al.  An energy-economic scenario analysis of alternative fuels for personal transport using the Global Multi-regional MARKAL model (GMM) , 2009 .

[7]  A. Hainoun,et al.  Formulating an optimal long-term energy supply strategy for Syria using MESSAGE model , 2010 .

[8]  Qi Zhang,et al.  An integrated model for long-term power generation planning toward future smart electricity systems , 2013 .

[9]  Sohif Mat,et al.  Long term strategy for electricity generation in Peninsular Malaysia – Analysis of cost and carbon footprint using MESSAGE , 2013 .

[10]  Erik Dotzauer,et al.  Greenhouse gas emissions from power generation and consumption in a nordic perspective , 2010 .

[11]  Kemal Sarica,et al.  Analysis of US renewable fuels policies using a modified MARKAL model , 2011 .

[12]  Qi Zhang,et al.  An analysis methodology for integrating renewable and nuclear energy into future smart electricity systems , 2012 .

[13]  Qi Zhang,et al.  Review of Japan's power generation scenarios in light of the Fukushima nuclear accident , 2014 .

[14]  Muhammad Azhar,et al.  Environmental and utility planning implications of electricity loss reduction in a developing country : A comparative study of technical options , 1998 .

[15]  Ryan Triolo,et al.  Natural gas‐based transportation in the USA: economic evaluation and policy implications based on MARKAL modeling , 2014 .

[16]  Guohe Huang,et al.  Development of an optimization model for energy systems planning in the Region of Waterloo , 2008 .

[17]  Brian Vad Mathiesen,et al.  A review of computer tools for analysing the integration of renewable energy into various energy systems , 2010 .

[18]  not found Reducing Greenhouse Gas Emissions from Ships : ClassNK and the Japan National Project to Reduce GHG Emissions(Story from the Sea) , 2010 .

[19]  Tetsuo Tezuka,et al.  Long-Term Planning for Nuclear Power’s Development in Japan for a Zero-Carbon Electricity Generation System by 2100 , 2012 .

[20]  Ross Baldick,et al.  A strategic review of electricity systems models , 2010 .

[21]  Miao-Shan Tsai,et al.  Taiwan's GHG mitigation potentials and costs: An evaluation with the MARKAL model , 2013 .

[22]  Tetsuo Tezuka,et al.  Scenario analysis on future electricity supply and demand in Japan , 2012 .