储能与需求侧管理在夏威夷海洋科技园的高峰需求减少

Yogesh Manoharan, A. Headley, K. Olson, L. Sombardier, B. Schenkman
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引用次数: 1

摘要

人们对利用电表后端客户的能源存储越来越感兴趣。储能系统具有电能时移、调峰、备电等多种表后使用功能。然而,能源消耗系统的需求侧管理也可以提供类似的能量转移功能,通常前期成本要低得多。虽然储能系统和需求侧管理都可以应用,但每种选择都有其优缺点,在许多情况下,这可能会使措施的最佳选择变得困难。在本研究中,在夏威夷管理局(NELHA)自然能源实验室的夏威夷海洋科学与技术(HOST)园区,研究了能源存储和需求侧管理之间的权衡。HOST园区的主要能源消耗是为园区提供多种功能的海水,包括为各种农业应用提供温控水,甚至是建筑空调措施。NELHA的设施被分成两个主要的负荷中心,通过管网连接起来,尽管它们在电力上是隔离的,并且受制于不同的电价。该方案的建模是为了优化泵站和潜在电池系统的调度,以最小化两个负载中心的电力成本。这种情况是需求侧管理和基于储能的成本降低措施之间相互作用的一个很好的例子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Energy Storage Versus Demand Side Management for Peak-Demand Reduction at the Hawaii Ocean Science and Technology Park
There is a growing interest in utilizing energy storage for behind-the-meter customers. Energy storage systems have many functions for behind-the-meter use such as energy time shifting, peak demand shaving, and backup power. However, demand side management of energy consuming systems can also provide similar energy shifting functionality often with a significantly lower upfront cost. Though energy storage systems and demand side management can both be applied, each option has strengths and weaknesses that can make the optimal selection of measures difficult in many cases. In this study, the tradeoff between energy storage and demand side management is investigated at the Hawaii Ocean Science and Technology (HOST) park of the Natural Energy Laboratory of Hawaii Authority (NELHA). The major energy consumption at the HOST park is for pumping the seawater that serves many functions at the park, including supplying temperature-controlled water for various agriculture applications and even building air conditioning measure. NELHA’s facilities are broken into two major load centers that are connected by the piping network, though they are electrically isolated and subject to different electricity price tariffs. This scenario is modeled to optimize the dispatch of the pump stations and potential battery systems to minimize the cost of electricity for both load centers. This scenario is a good example of the interplay between demand side management and energy-storage-based cost reduction measures.
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