Endogenous learning and technology clustering: analysis with MARKAL model of the Western European energy system
Endogenous learning and technology clustering: analysis with MARKAL model of the Western European energy system
复制标题
内生学习与技术集群：西欧能源系统MARKAL模型分析
DOI：
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发表时间：
2000
期刊：
影响因子：
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通讯作者：
A. Bos
中科院分区：
文献类型：
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作者：
A. Seebregts;T. Kram;G. Schaeffer;A. Bos
本文介绍了西欧综合能源系统模型 MARKAL 实验中获得的经验，包括基于干中学机制的内生技术学习。这些实验证实了采用该机制所带来的预期好处。在相对简单的能源系统模型中经常被忽视的一个重要问题是技术（系列）之间相互依赖的概念，而不是考虑单独学习技术。已经开发并测试了解决此类集群的方法。结果表明，新的“集群特征”提高了内部一致性，并允许评估溢出和交叉效应以及技术动态中确定的其他机制。
The paper describes experience gained from experiments with the comprehensive energy system model MARKAL for Western Europe, including endogenous technology learning based on the learning by doing mechanism. These experiments have confirmed the benefits expected from adoption of the mechanism. An important issue, often overlooked in relatively simple energy system models is the notion of interdependency between (families of) technologies, rather than considering individually learning technologies. An approach to address such clusters has been developed and tested. The results indicate that the new "cluster feature" improves the internal consistency and allows for assessment of spillover and cross-over effects, and other mechanisms identified in technology dynamics.