Optimal scheduling for enhanced coal bed methane production through CO2 injection
Optimal scheduling for enhanced coal bed methane production through CO2 injection
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DOI：
10.1016/j.apenergy.2013.08.074
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发表时间：
2014-01-01
期刊：
影响因子：
11.2
通讯作者：
Aminian, Kashy
中科院分区：
文献类型：
--
作者：
Huang, Yuping;Zheng, Qipeng P.;Aminian, Kashy
注二氧化碳提高煤层气采收率(CO2-ECBM)是开采埋藏在传统不可开采煤层中的天然气的有效技术。通过这一生产过程产生的收入不仅来自煤层气的销售，还来自在碳市场上交易二氧化碳信用。随着CO2-ECBM技术的成熟，其商业化机会也如雨后春笋般涌现。本文提出了适用于CO2-ECBM生产的数学模型，并比较了它们的生产计划对总利润的影响。为了解决天然气价格和二氧化碳信用的不确定性，提出了一种新的包含技术和化学细节的二氧化碳ECBM生产基本确定性模型，并建立了多阶段随机规划模型。这两个模型都是非线性规划问题，商业非线性规划软件Baron通过GAMS进行求解。数值实验显示了使用随机模型与使用确定性模型的好处(例如，预期利润收益)。(C)2013爱思唯尔有限公司。保留所有权利。
Enhanced coal bed methane production with CO2 injection (CO2-ECBM) is an effective technology for accessing the natural gas embedded in the traditionally unmineable coal seams. The revenue via this production process is generated not only by the sales of coal bed methane, but also by trading CO2 credits in the carbon market. As the technology of CO2-ECBM becomes mature, its commercialization opportunities are also springing up. This paper proposes applicable mathematical models for CO2-ECBM production and compares the impacts of their production schedules on the total profit. A novel basic deterministic model for CO2-ECBM production including the technical and chemical details is proposed and then a multistage stochastic programming model is formulated in order to address uncertainties of natural gas price and CO2 credit. Both models are nonlinear programming problems, which are solved by commercial nonlinear programming software BARON via GAMS. Numerical experiments show the benefits (e.g., expected profit gain) of using stochastic models versus deterministic models. (C) 2013 Elsevier Ltd. All rights reserved.