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Role of financial mechanisms for accelerating the rate of water and energy efficiency retrofits in Australian public buildings: Hybrid Bayesian Network and System Dynamics modelling approach

机译:财务机制在加快澳大利亚公共建筑中水和能源效率改造率方面的作用:混合贝叶斯网络和系统动力学建模方法

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摘要

In Australia, the government spending on public buildings' energy and water consumption is considerable; however the building energy and water retrofit market potential has been diminished by a number of barriers, especially financial. In contrast, in other advanced economies there are several reported financing strategies that have been shown to accelerate retrofit projects implementation. In this study, a coupled Bayesian Network System Dynamics model was developed with the core aim to assess the likely influence of those novel financing options and procurement procedures on public building retrofit outcomes scenarios in the Australian context. A particular case-study focusing on Australian public hospitals was showcased as an example in this paper. Stakeholder engagement was utilised to estimate likely preferences and to conceptualise causal relationships of model parameters. The scenario modelling showed that a revolving loan fund supporting an energy performance contracting procurement procedure was preferred. Subsequently, the specific features of this preferred framework were optimised to yield the greatest number of viable retrofit projects over the long term. The results indicated that such a financing scheme would lead to substantial abatement of energy and water consumption, as well as carbon emissions. The strategic scenario analysis approach developed herein provides evidence-based support to policy-makers advocating novel financing and procurement models for addressing a government's sustainability agenda in a financially responsible and net-positive manner.
机译:在澳大利亚,政府在公共建筑的能源和水消耗上的支出相当可观;但是,由于许多障碍,尤其是财务障碍,建筑能源和水改建市场潜力已被削弱。相反,在其他发达经济体中,已报告了几种已报告的融资策略,这些策略可加速改造项目的实施。在这项研究中,开发了一个耦合的贝叶斯网络系统动力学模型,其核心目的是评估在澳大利亚背景下,这些新颖的融资选择和采购程序对公共建筑改造成果情景的可能影响。本文以澳大利亚澳大利亚公立医院为例,进行了案例研究。利益相关者的参与被用来估计可能的偏好并概念化模型参数的因果关系。方案建模表明,支持能源绩效合同采购程序的循环贷款基金是首选。随后,对该首选框架的特定功能进行了优化,以便长期产生最大数量的可行改造项目。结果表明,这种筹资计划将导致能源和水的消耗以及碳排放量的大幅减少。本文开发的战略情景分析方法为主张新颖的融资和采购模型的决策者提供了循证支持,以财务负责和净积极的方式解决政府的可持续发展议程。

著录项

  • 来源
    《Applied Energy》 |2018年第15期|409-419|共11页
  • 作者单位

    Griffith Univ, Griffith Sch Engn, Parklands Dr, Southport, Qld 4222, Australia;

    Griffith Univ, Griffith Sch Engn, Parklands Dr, Southport, Qld 4222, Australia;

    Griffith Univ, Griffith Sch Engn, Parklands Dr, Southport, Qld 4222, Australia;

    Swinburne Univ Technol, Fac Sci Engn & Technol, Ctr Sustainable Infrastruct, Hawthorn, Vic 3122, Australia;

    Swinburne Univ Technol, Fac Sci Engn & Technol, Ctr Sustainable Infrastruct, Hawthorn, Vic 3122, Australia;

    Curtin Univ, Sustainable Built Environm Natl Res Ctr, Perth, WA 6102, Australia;

    Queensland Dept Housing & Publ Works, Brisbane, Qld 4000, Australia;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Bayesian Networks; Building retrofitting; Green buildings; System Dynamics; Water-energy nexus;

    机译:贝叶斯网络;建筑改建;绿色建筑;系统动力学;水能关系;

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