A Multiscale Energy Systems Engineering Approach for Renewable Power Generation and Storage Optimization,Industrial & Engineering Chemistry Research

当前位置： X-MOL 学术 › Ind. Eng. Chem. Res. › 论文详情

Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)

A Multiscale Energy Systems Engineering Approach for Renewable Power Generation and Storage Optimization
Industrial & Engineering Chemistry Research ( IF 3.8 ) Pub Date : 2020-03-23 , DOI: 10.1021/acs.iecr.0c00436
C. Doga Demirhan _{1,

2} , William W. Tso _{1,

2} , Joseph B. Powell ₃ , Clara F. Heuberger ₄ , Efstratios N. Pistikopoulos _{1,

2}

Affiliation

Successful integration of intermittent renewable resources into the energy mix is instrumental to meet the growing global energy demand while reducing the carbon emissions. With this study, we propose a strategy of mixed-integer linear programming-based simultaneous design and operation to explore the techno-economic feasibility of novel energy system networks including solar photovoltaics, wind turbines, battery storage, and dense energy carriers. A multiscale energy system engineering approach is followed combining process synthesis, scheduling, and supply chain concepts to address the trade-offs between various technologies in renewable power generation and storage, as well as energy carrier production and transportation across different locations. We apply our strategy to analyze the integration of hydrogen-based dense energy carriers (DECs) produced in a high-potential region of renewable energy in Texas in tandem with local solar production and battery storage in a low-potential region in New York to minimize the levelized cost of renewable electricity. Case study results show that DECs can offer 30–50% cost reductions to local power generation and battery systems when used as clean backup fuels.

中文翻译：

可再生能源发电和存储优化的多尺度能源系统工程方法

成功地将间歇性可再生资源整合到能源结构中，有助于满足不断增长的全球能源需求，同时减少碳排放。通过这项研究，我们提出了一种基于混合整数线性规划的同时设计和操作策略，以探索新型能源系统网络（包括太阳能光伏，风力涡轮机，电池存储和密集能源载体）的技术经济可行性。遵循多尺度能源系统工程方法，结合了过程综合，调度和供应链概念，以解决可再生能源发电和存储中的各种技术之间的权衡，以及跨不同地点的能源载体的生产和运输。我们运用我们的策略来分析在德克萨斯州高潜力可再生能源地区产生的氢基密集能源载体（DEC）与纽约低电位地区的本地太阳能生产和电池存储的整合可再生电力的平均成本。案例研究结果表明，当用作清洁备用燃料时，DEC可将本地发电和电池系统的成本降低30-50％。

更新日期：2020-04-24

点击分享查看原文

点击收藏

阅读更多本刊最新论文本刊介绍/投稿指南11