Cost of power or power of cost: A US modeling perspective

RENEWABLE & SUSTAINABLE ENERGY REVIEWS

卷:77

Review

Muratori, Matteo^1,3  Ledna, Catherine¹  McJeon, Haewon¹  Kyle, Page¹  Patel, Pralit¹  Kim, Son H.¹  Wise, Marshall¹  Kheshgi, Haroon S.²  Clarke, Leon E.¹  Edmonds, Jae¹ 

[1] Joint Global Change Res Inst, Pacific Northwest Natl Lab, College Pk, MD 20740 USA

[2] ExxonMobil Res & Engn Co, Annandale, NJ 08801 USA

[3] Natl Renewable Energy Lab, Golden, CO 80401 USA

关键词: Integrated assessment model;    Cost of power plants;    Technology cost;    Electricity Sector Modeling;    Global Change Assessment Model (GCAM);   

DOI  :  10.1016/j.rser.2017.04.055

来源: Elsevier

【 摘 要 】

Future scenarios and assessment studies used to prepare for long-term energy transitions and develop robust strategies to address climate change are highly dependent on the assessment of technology characteristics and availability. The electric power sector in the United States recently experienced a significant cost escalation: e.g., construction costs for large plants such as nuclear and coal-fired power plants doubled between 2003 and 2007. We assess the main drivers of this escalation. While many factors have affected costs, some of the most significant include cost of materials, particularly the price of metals and to a lesser extent cement, possible increases in labor quantity requirements, the aggressive worldwide competition for power plant design and construction resources, driven by high demand in Asia, market and regulatory changes, and general uncertainty about future regulations and climate policies. We recalibrate power sector technology costs in the Global Change Assessment Model (GCAM) based on an extensive literature review of recent (post-2010) studies and in the process develop a coherent and updated set of current cost and performance assumptions for all major electricity-generating technologies. While current cost and performance assumptions of electricity-generating technologies are key drivers of short-term technology deployment and technology mix in the electricity sector, medium- and long-term deployment pathways are significantly affected by assumed efficiency improvement rates and cost reductions. We develop and demonstrate a method to project efficiency and construction cost of power plants and report a sensitivity analysis to explore the importance of such assumptions in future scenarios generated by GCAM.

【 授权许可】

Free