巴基斯坦农村地区电力混合可再生能源系统的技术经济分析

Abdul Munim Rehmani, P. Akhter
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引用次数: 4

摘要

巴基斯坦长期以来一直面临能源危机。现有的能源资源很难满足目前的能源需求。在本文中,我们正在设计基于仿真的混合系统,使用光伏,风能和生物质,并在净现值成本NPC,能源COE的平准化成本和能源回收期的基础上比较它们的最佳优化结果。通过调查计算了当地的负荷需求。电力可再生能源混合优化模型采用HOMER Pro对混合系统进行优化。根据资源的可用性,采用了四种策略。在第一个策略中,我们使用太阳能和生物质能作为能源资源来养活社区。从优化结果来看,最昂贵的系统总NPC为18.4 M卢比,平准化COE为18.09卢比,投资回收期为2.79年。在第二个战略中,我们正在利用风能和生物质资源。在这里,NPC和Levelized COE分别减少到17.8亿卢比和17.53卢比,投资回收期为2.28年。在第三个战略中,我们正在利用太阳能和风能资源。在这方面,HOMER将NPC和Levelized COE分别降至1450万卢比和14.87卢比,但将投资回收期延长至9.10年。在最后一个战略中,我们正在利用所有可用的资源——光伏、风能和生物质能。在这里,Levelized COE减少到14.40卢比,而NPC从第三个战略中略有增加,即1460万卢比,投资回收期仅为2.54年。基于NPC、COE和投资回收期,HOMER对所有策略进行优化,发现第一个策略最不可行,最后一个策略最可行。
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Techno-Economic analysis of hybrid renewable energy systems for rural area energization in Pakistan
Pakistan is having an energy crisis since long. It is very hard to fulfill the present energy demand with available energy resources. In this paper, we are designing simulation-based hybrid systems using Photovoltaic, Wind, and biomass and comparing them for the best optimum result on the basis of net present cost NPC, Levelized cost of energy COE and energy payback period. The load demand of the locals is calculated through the survey. Hybrid optimization model for electric renewables HOMER Pro is used for the optimization of hybrid systems. Four strategies are employed based on the availability of resources. In the first strategy, we use solar and biomass as an energy resource to feed the community. From optimization results it is found the most expensive system with total NPC of Rs 18.4 M, Levelized COE to be Rs 18.09, and the payback period of 2.79 years. In the second strategy, we are using wind and biomass resources. Here, NPC and Levelized COE reduce to Rs 17.8 M and Rs 17.53 respectively with the payback period of 2.28 years. In the third strategy, we are employing solar and wind resources. In this, HOMER lower down NPC and Levelized COE to Rs 14.5 M and Rs 14.87 respectively but increases the payback period to 9.10 years. In the last strategy, we are using all available resources PV, wind, and biomass. Here, Levelized COE reduces to Rs 14.40 while a minor increase occurs in the NPC from the third strategy i.e. Rs 14.6 M with the payback period of just 2.54 years. Based on the NPC, COE and the payback period, HOMER executes the optimization for all strategies and found the first strategy to be the least feasible and last strategy the most feasible.
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