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Design and Energy Requirements of a Photovoltaic-Thermal Powered Water Desalination Plant for the Middle East

机译:中东光伏热动力水海水淡化厂的设计和能量要求

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摘要

Seawater or brackish water desalination is largely powered by fossil fuels, raising concerns about greenhouse gas emissions, particularly in the arid Middle East region. Many steps have been taken to implement solar resources to this issue; however, all attempts for all processing were concentrated on solar to electric conversion. To address these challenges, a small-scale reverse-osmosis (RO) desalination system that is in part powered by hybrid photovoltaic/thermal (PVT) solar collectors appropriate for a remote community in the Kingdom of Saudi Arabia (KSA) was designed and its power requirements calculated. This system provides both electricity to the pumps and low-temperature thermal energy to pre-heat the feedwater to reduce its viscosity, and thus to reduce the required pumping energy for the RO process and for transporting the feedwater. Results show that both thermal and electrical energy storage, along with conventional backup power, is necessary to operate the RO continuously and utilize all of the renewable energy collected by the PVT. A cost-optimal sizing of the PVT system is developed. It displays for a specific case that the hybrid PVT RO system employs 70% renewable energy while delivering desalinized water for a cost that is 18% less than the annual cost for driving the plant with 100% conventional electricity and no pre-heating of the feedwater. The design allows for the sizing of the components to achieve minimum cost at any desired level of renewable energy penetration.
机译:海水或咸水水脱盐主要由化石燃料提供动力,提高对温室气体排放的担忧,特别是在干旱中东地区。已经采取了许多步骤来实现太阳能资源到这个问题;但是,所有加工的所有尝试都集中在太阳能到电气转换。为了解决这些挑战,设计了一个小型反渗透(RO)脱盐系统,其部分由混合光伏/热(PVT)太阳能收集器提供适合于沙特阿拉伯王国(KSA)的远程社区(KSA)的挑战计算电源要求。该系统向泵和低温热能提供电力以预热进给水以降低其粘度,从而减少RO工艺所需的泵送能量并用于运输给水。结果表明,热电和电能存储以及传统的备用电力连续运行RO是必要的,并利用PVT收集的所有可再生能源。开发了PVT系统的成本最佳尺寸。它显示了一个特定情况,即混合PVT RO系统采用70%可再生能源,同时将脱盐水提供18%,这比每年为驾驶厂的成本低100%传统电力,没有给水预热。该设计允许在任何所需水平的可再生能源渗透水平上实现最小成本的设计。

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