...
首页> 外文期刊>Renewable energy >Numerical evaluation, process design and techno-economic analysis of geothermal energy extraction from abandoned oil wells in Malaysia
【24h】

Numerical evaluation, process design and techno-economic analysis of geothermal energy extraction from abandoned oil wells in Malaysia

机译:马来西亚废弃油井地热能提取的数值评价,过程设计与技术经济分析

获取原文
获取原文并翻译 | 示例
           

摘要

Abandoned oil well can be a promising alternative to be retrofitted to extract geothermal energy than the conventional geothermal well. This study investigates the potential of converting abandoned oil well into geothermal energy power plant by combining computational fluid dynamics (CFD) simulation, process simulation, and techno-economic analysis. A detailed CFD model was formulated and validated with verified data from published literature. The model was then utilized to study key performance variables on heat extractions coupled with the Organic Rankine Cycle (ORC) to generate power and its subsequent techno-economic analysis. The results indicate that, due to relatively low temperature profile in typical Malaysian wells, the Levelized Cost of Electricity (LCOE) of the ORC system was found to be almost double than that of conventional geothermal technologies. To reduce the LCOE, at least four abandoned wells in a close proximity are required. Alternatively, other renewable energy sources (e.g., solar, biomass) could be used to upgrade the geothermal well. This techno-economic analysis shall serve as a preliminary assessment on the feasibility of utilizing abandoned oil wells in Malaysia for geothermal energy extraction.Crown Copyright (c) 2021 Published by Elsevier Ltd. All rights reserved.
机译:被遗弃的油井可以是有希望的替代品,以提取比传统地热井提取地热能。本研究通过组合计算流体动力学(CFD)仿真,过程模拟和技术经济分析,调查将废弃的油井转换成地热能发电厂的潜力。制定了详细的CFD模型并验证了来自发布文献的已验证数据。然后利用该模型研究热提取物的关键性能变量与有机朗肯循环(ORC)相结合以产生功率及其随后的技术经济分析。结果表明,由于典型的马来西亚孔中的温度曲线相对较低,发现兽人系统的电力(LCOE)的调用成本几乎比传统地热技术翻番。为了减少LCoE,需要至少四个遗弃井。或者,其他可再生能源(例如,太阳能,生物量)可用于升级地热井。这种技术经济分析应作为利用马来西亚废弃油井的可行性进行初步评估,以获得地热能提取。elsevier有限公司出版的版权(c)2021版权所有。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号