Modeling the operational flexibility of natural gas combined cycle power plants coupled with flexible carbon capture and storage via solvent storage and flexible regeneration
Modeling the operational flexibility of natural gas combined cycle power plants coupled with flexible carbon capture and storage via solvent storage and flexible regeneration
复制标题
对天然气联合循环发电厂的运营灵活性进行建模，并通过溶剂储存和灵活再生实现灵活的碳捕获和储存
DOI：
10.1016/j.ijggc.2022.103686
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发表时间：
2022
影响因子：
3.9
通讯作者：
J. Jenkins
中科院分区：
文献类型：
--
作者：
F. Cheng;Neha S. Patankar;Sambuddha Chakrabarti;J. Jenkins
在可变可再生能源占比高的电力系统中，灵活改变功率输出的能力可以增加配备碳捕获和封存（CCS）的天然气联合循环（NGCC）发电厂的经济价值，并提高其作为可靠低碳资源的竞争力。在这里，我们研究NGCC发电厂w/CCS（NGCC-CCS）与溶剂储存相结合，以实现灵活的操作。我们提出了一个模块化的和详细的建模公式来表示这些系统的计算效率和准确的方式，并评估灵活的CCS设计的操作模式和系统价值。该框架将NGCC-CCS电厂分解为主要子组件，并使用线性约束公式来执行能量和质量平衡。此外，火力发电厂受到机组组合（UC）约束，这些约束通常是耗时的，以通过传统方法来解决，传统方法使用二元决策变量来进行启动和关闭决策。因此，我们调查是否线性松弛的离散UC决策变量加上发电机聚类方法适用于灵活的CCS子组件模型。最后，我们将这种新的灵活的CCS制定到电力系统的机组组合和经济调度模型提出了一个案例研究，显示每小时的运行模式NGCC-CCS子组件和电力系统的环境和经济性能的影响。与传统的二进制UC公式相比，我们的研究结果表明，生成器聚类公式的线性松弛具有更快的运行时间（快18-527倍），在所有评估指标中的误差为0.01%-3.4%。运行模式和系统性能表明，我们的建模框架可以准确和可追踪地捕获工厂级和系统级的结果。最后，我们的研究结果表明，灵活的NGCC-CCS系统降低电力系统的运行成本，增加电力输出在高峰需求期间，以取代较高的边际成本单位。我们还证明了NGCC-CCS电厂的灵活运行所提供的系统级效益将对未来可变可再生资源高度渗透的电网越来越有价值。
In electricity systems with high shares of variable renewable energy resources, the capability to flexible alter power output can increase the economic value of natural gas combined cycle (NGCC) power plants equipped with carbon capture and sequestration (CCS) and enhance their competitiveness as firm low-carbon resources. Here we examine NGCC power plants w/CCS (NGCC-CCS) coupled with solvent storage to enable flexible operation. We present a modular and detailed modeling formulation to represent these systems in a computationally efficient and accurate manner and to evaluate the operating patterns and system value of flexible CCS designs. The proposed framework breaks down NGCC-CCS plants into major subcomponents and uses linear constraint formulations to enforce energy and mass balances. In addition, thermal power plants are subjected to unit commitment (UC) constraints that are generally time-consuming to solve via conventional methods, which use binary decision variables for start-up and shut-down decisions. We thereby investigate whether the linear relaxation of discrete UC decision variables coupled with a generator clustering method are applicable to model flexible CCS subcomponents. Finally, we integrate this novel flexible CCS formulation into a power system unit commitment and economic dispatch model to present a case study that shows the hourly operating patterns of NGCC-CCS subcomponents and impacts on power system environmental and economic performance. As compared to a conventional binary UC formulation, our results show that linear relaxation of a generator clustering formulation has much faster runtime (18–527 times faster), with errors of 0.01%-3.4% across all the evaluated metrics. The operating patterns and system performance suggest our modeling framework can accurately and tractably capture both plant-level and system-level outcomes. Finally, our results demonstrate that flexible NGCC-CCS systems decrease power system operating costs by increasing power output during peak demand periods to displace higher marginal cost units. We also demonstrate that the system-level benefits provided by flexible operation of NGCC-CCS plants will be increasingly valuable to the future grids with high penetration of variable renewable resources.
影响因子：
56.7
作者：
Sepulveda, Nestor A.;Jenkins, Jesse D.;Lester, Richard K.
通讯作者：
Lester, Richard K.