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Innovative information and communication technology (ICT) system for energy management of public utilities in a post-disaster region: Case study of a wastewater treatment plant in Fukushima

机译:灾后地区公用事业能源管理的创新信息和通信技术(ICT)系统:福岛废水处理厂的案例研究

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On March 11, 2011, the Tohoku earthquake caused major damage to almost all public infrastructures including energy and water facilities in Fukushima Prefecture. Following the nuclear disaster, which lead to a shortage of energy, the government of Japan enacted new policy measures to redefine its energy-mix after its earlier commitment to the Copenhagen Climate Summit in 2009 to reduce greenhouse gas emission by 25% from 1990 levels by 2020. In 2015, Japan ratified the Paris Accord and set a national greenhouse gas reduction goal - 26% below 2013 levels by 2030. To meet this requirement, Japan needs to restructure its current electricity consumption by identifying the optimal demand of electricity by households, commercial buildings, and public utilities. This calls for public infrastructures to manage their electricity consumption efficiently by adopting appropriate electricity conservation methods using precision monitoring systems. To support the policy of the government of Japan toward conservation of energy, in this paper, we outline the energy demand of a public utility system, namely a wastewater treatment plant (WWTP), in Fukushima Prefecture, Japan, and based on the data obtained using an innovative information and communication technology (ICT) tool. Using the monitored data, we further predict the electricity demand for each process of the WWTP using a Markov switching model. These models have high repeatability of monitoring results for each process according to various indices. In our results, all R-2 values were more than 0.8; mean absolute percentage error values were under 10% for total electricity consumption and the water treatment process, and the relative root mean square error rate of each process was under 20%. Based on the results, we developed a future electricity consumption prediction model for WWTP total electricity consumption and the consumption of each process. The study emphasizes the need for an innovative ICT and advanced analysis system for supporting the governance of public facilities. (C) 2019 Elsevier Ltd. All rights reserved.
机译:2011年3月11日,东北地震导致几乎所有公共基础设施都造成了重大损害,包括福岛县的能源和水景。在核灾害之后,这导致能源短缺,日本政府颁布了新的政策措施,以重新定义其对2009年哥本哈根气候峰会的预先致力于重新定义其能源混合,以减少1990年级的25%的温室气体排放量2020年,日本批准了巴黎协议,并设定了国家温室气体减少目标 - 到2030年,2013年低于2013年的26%。为满足这一要求,日本需要通过确定家庭电力的最佳需求来重组其目前的电力消费。商业建筑和公用事业。这呼吁公共基础设施通过采用使用精密监测系统采用适当的电力保护方法,以有效地管理其电力消耗。为了支持日本政府的政策,在本文中,我们概述了公用事业系统的能源需求,即日本福岛县的废水处理厂(WWTP),并基于获得的数据使用创新的信息和通信技术(ICT)工具。使用受监控的数据,我们进一步预测了使用Markov交换模型对WWTP的每个过程的电力需求。根据各种指标,这些模型对每个过程的监控结果具有高可重复性。在我们的结果中,所有R-2值都超过0.8;总电消耗和水处理过程的平均绝对百分比误差值低于10%,每种过程的相对均方误码率低于20%。基于结果,我们开发了未来的电力消耗预测模型,用于WWTP总电消耗和每个过程的消费。该研究强调需要一个创新的ICT和高级分析系统,以支持公共设施的治理。 (c)2019 Elsevier Ltd.保留所有权利。

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