Techno-economic and environmental modelling and optimization of flexible distributed multi-generation options
Techno-economic and environmental modelling and optimization of flexible distributed multi-generation options
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DOI：
10.1016/j.energy.2014.04.097
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发表时间：
2014-07
期刊：
影响因子：
9
通讯作者：
T. Capuder;P. Mancarella
中科院分区：
文献类型：
--
作者：
T. Capuder;P. Mancarella
在当前的能源系统中，通过现有技术将不同的能量矢量耦合在一起，在多大程度上利用了灵活性和效率，这是有争议的。特别是，尽管人们对多能源概念的兴趣与日俱增，但能够清楚解释热电联产、电热泵和蓄热等互补技术集成所能带来的好处的模型很少。为此，本文介绍了一个综合分析框架和一个适用于评价不同分布式多发电(DMG)方案的技术经济和环境特性的统一综合混合整数线性规划优化模型。根据不同情况下所需的投资成本，详细分析和评估了每种方案的运作绩效和对电力市场信号作出反应的灵活性。数值案例研究侧重于突出区域供热应用中多能源系统集成在经济方面可获得的灵活性好处。对不同DMG配置的详细敏感性分析还清楚地表明，在多能源背景下将不同的能源载体和互补技术结合起来时，当前和未来的情景中可以预期(全球和地方层面的)经济和环境绩效。
It is arguable how much flexibility and efficiency from coupling different energy vectors through available technologies is exploited in current energy systems. In particular, in spite of the growing interest for the multi-energy concept, there are very few models capable of clearly explaining the benefits that can be derived from integration of complementary technologies such as cogeneration, electric heat pumps and thermal storage. In this light, this paper introduces a comprehensive analysis framework and a relevant unified and synthetic Mixed-Integer Linear Programming optimization model suitable for evaluating the techno-economic and environmental characteristics of different Distributed Multi-Generation (DMG) options. Each option's operational performance and flexibility to respond to electricity market signals are analysed in detail and assessed against the needed investment costs in different contexts. Numerical case studies focus on highlighting the flexibility benefits that can be gained in economic terms from multi-energy system integration in district heating (DH) applications. Detailed sensitivity analyses of different DMG configurations also clearly show what economic as well as environmental performance (at both global and local levels) can be expected in current and future scenarios when coupling different energy vectors and complementary technologies in a multi-energy context.