Concentrating Solar Power in China and India: A Spatial Analysis of Technical Potential and the Cost of Deployment

Kevin Ummel
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引用次数: 18

Abstract

Coal power generation in China and India is expected to double and triple, respectively, over the next 20 years, increasing exposure to fuel price volatility, exacerbating local air pollution, and hastening global climate change. Concentrating solar power (CSP) is a growing source of utility-scale, pollution-free electricity, but its potential in Asia remains largely unexamined. High-resolution spatial data are used to identify areas suitable for CSP and estimate power generation and cost under alternative land-use scenarios. Total technical potential exceeds current coal power output by a factor of 16 to 23 in China and 3 to 4 in India. A CSP expansion program and attendant transmission requirements are simulated with the goal of providing 20 percent of electricity in both countries by midcentury. Under conservative assumptions, the program is estimated to require subsidies of $340 billion in present dollars; coal-associated emissions of 96 GtCO2eq are averted at an average abatement cost of $30 per tCO2eq. Estimated costs are especially sensitive to the assumed rate of technological learning, emphasizing the importance of committed public policy and financing to reduce investment risk, encourage expansion of manufacturing capacity, and achieve long-term cost reductions. The results highlight the need for spatially explicit modeling of renewable power technologies and suggest that existing subsidies might be better used through integrated planning for large-scale solar and wind deployment that exploits spatiotemporal complementarities and shared infrastructure.
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中国和印度的聚光太阳能:技术潜力和部署成本的空间分析
未来20年,中国和印度的煤炭发电量预计将分别增长两倍和三倍,这将加大燃料价格波动带来的风险,加剧当地空气污染,并加速全球气候变化。聚光太阳能发电(CSP)是一种日益增长的公用事业规模、无污染的电力来源,但它在亚洲的潜力在很大程度上仍未得到检验。高分辨率空间数据用于确定适合CSP的地区,并估计在其他土地利用情景下的发电和成本。中国的总技术潜力是目前煤电产出的16至23倍,印度是3至4倍。模拟了CSP扩展计划和随之而来的传输要求,目标是到本世纪中叶为两国提供20%的电力。在保守的假设下,该计划估计需要3400亿美元的补贴。以每吨二氧化碳当量30美元的平均减排成本,避免了与煤炭相关的96亿吨二氧化碳当量的排放。估计的成本对假定的技术学习速度特别敏感,强调承诺的公共政策和融资对减少投资风险、鼓励扩大制造能力和实现长期成本降低的重要性。研究结果强调了对可再生能源技术进行空间明确建模的必要性,并建议通过对大规模太阳能和风能部署的综合规划,利用时空互补性和共享基础设施,更好地利用现有补贴。
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