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Paradigm shift to enhanced water supply planning through augmented grids, scarcity pricing and adaptive factory water: A system dynamics approach

机译:通过扩展网格,稀缺价格和自适应工厂用水,范式转变为加强供水计划:系统动力学方法

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摘要

This paper details a system dynamics model developed to simulate proposed changes to water governance through the integration of supply, demand and asset management processes. To effectively accomplish this, interconnected feedback loops in tariff structures, demand levels and financing capacity are included in the model design, representing the first comprehensive life-cycle modelling of potable water systems. A number of scenarios were applied to Australia's populated South-east Queensland region, demonstrating that introducing temporary drought pricing (i.e. progressive water prices set inverse with availability), in conjunction with supply augmentation through rain-independent sources, is capable of efficiently providing water security in the future. Modelling demonstrated that this alternative tariff structure reduced demand in scarcity periods thereby preserving supply, whilst revenues are maintained to build new water supply infrastructure. In addition to exploring alternative tariffs, the potential benefits of using adaptive pressure-retarded osmosis desalination plants for both potable water and power generation was explored. This operation of these plants for power production, when they would otherwise be idle, shows promise in reducing their net energy and carbon footprints. Stakeholders in industry, government and academia were engaged in model development and validation. The constructed model displays how water resource systems can be reorganised to cope with systemic change and uncertainty.
机译:本文详细介绍了一个系统动力学模型,该模型通过集成供需和资产管理流程来模拟拟议的水治理变化而开发。为了有效地做到这一点,模型设计中包括了价格结构,需求水平和融资能力之间的相互联系的反馈回路,这是饮用水系统的第一个综合生命周期模型。在澳大利亚人口稠密的昆士兰州东南部地区采用了多种方案,表明引入临时干旱价格(即逐步的水价与供应量成反比),并通过与降雨无关的来源增加供水量,能够有效地提供水安全在将来。模型表明,这种替代性的水价结构减少了稀缺时期的需求,从而保持了供应,同时保持了收入以建立新的供水基础设施。除了探讨替代性关税外,还探讨了使用自适应压力缓释渗透淡化厂生产饮用水和发电的潜在好处。这些工厂用于发电的操作(否则将处于闲置状态)显示出有望减少其净能源和碳足迹。工业界,政府和学术界的利益相关者参与了模型的开发和验证。构建的模型显示了如何重组水资源系统以应对系统变化和不确定性。

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