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Sustainable infrastructure modeling and policy analyses: Construction, energy and transportation industries.

机译：可持续基础设施建模和政策分析：建筑，能源和运输行业。

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摘要

Sustainable infrastructure operation assumes consideration of interrelated elements and problems within interacting industries in which the decisions made for one industry may affect those in interrelated industries. Problems related to global climate change and resource scarcity are main concerns for a society trying to build a sustainable infrastructure. These problems are targeted from many perspectives, including government-enforced policies and regulations that call for energy efficiency and transportation efficiency to build a sustainable infrastructure.;There is a growing interest among engineers in accounting for sustainability under the impact of climate change policies that limit the amount of pollutants being released from projects and facilities. While specific problems can be targeted by specialists in each industry or field, an optimal sustainable solution will be very difficult to find if considered separately.;Despite that directions for improvement are defined, the methods and techniques for reaching these specified goals are not yet well developed. Decision-makers do not have the necessary models to evaluate the impact of proposed carbon policies supporting sustainable infrastructure development. Yet, it is important to analyze the problem in a systematic fashion to find cost-efficient, technically well-designed and constructed and sustainable solutions.;In this dissertation, an interdisciplinary approach is used with the aim of analyzing programs geared at reducing emissions and costs, and determining optimal allocation of resources along with profit maximization by developing and employing optimization, regression and game-theoretic models for the construction, energy and transportation industries. These models can be used by national, state, local and private agencies for assessing carbon-mitigation policies and low-cost carbon policy developments.;Concepts from integer programming, multi-objective decision-making, bi-level programming, simulation and regression are employed in the development of models to support informed decision-making and policy analyses in the construction, transportation and energy sectors. The models incorporate industry-specific details covering engineering, economic and environmental aspects of sustainable practices. The application of these models to real-world case studies provides insights that will allow defined specific goals to be achieved in a cost-efficient way. Results of case studies were optimal and most importantly not intuitive.
机译：可持续的基础设施运营假设要考虑相互作用的行业中相互关联的要素和问题，其中针对一个行业的决策可能会影响相互关联的行业中的决策。与全球气候变化和资源稀缺有关的问题是试图建立可持续基础设施的社会所关注的主要问题。这些问题从许多角度着眼，包括政府强制执行的要求提高能效和运输效率以建立可持续基础设施的政策和法规;工程师越来越关注在气候变化政策的影响下考虑可持续性的问题。项目和设施释放的污染物量。虽然每个行业或领域的专家都可以针对特定问题，但如果单独考虑，则很难找到最佳的可持续解决方案;尽管已定义了改进方向，但实现这些特定目标的方法和技术仍不完善发达。决策者没有必要的模型来评估提议的碳政策对可持续基础设施发展的影响。然而，重要的是要系统地分析问题，以找到具有成本效益的，技术上设计合理的，构造合理的和可持续的解决方案。本文采用一种跨学科的方法来分析旨在减少排放和减少排放的方案。通过为建筑，能源和运输行业开发和采用优化，回归和博弈论模型，确定成本，确定资源的最佳分配以及利润最大化。国家，州，地方和私人机构可以使用这些模型来评估碳减排政策和低成本碳政策的发展。整数规划，多目标决策，双层规划，模拟和回归的概念是在模型开发中使用，以支持建筑，运输和能源领域的明智决策和政策分析。这些模型结合了特定于行业的细节，涵盖了可持续实践的工程，经济和环境方面。这些模型在实际案例研究中的应用提供了见识，可以以节省成本的方式实现已定义的特定目标。案例研究的结果是最佳的，最重要的是不直观。

著录项

  • 作者

    Avetisyan, Hakob Gevorg.;

  • 作者单位

    University of Maryland, College Park.;

  • 授予单位 University of Maryland, College Park.;
  • 学科 Engineering Civil.;Operations Research.;Environmental Management.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 256 p.
  • 总页数 256
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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