支持能源系统规划的分散性和外部性模型:发展与案例研究

M. Ravina, D. Panepinto, M. Zanetti
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引用次数: 4

摘要

城市地区的高污染程度对人类健康构成危害。能量转换活动是气态污染物的主要来源之一。在地方一级,从规划阶段开始,利益攸关方就需要能源设想对人类健康和环境的潜在影响的有效指标。在这个意义上,利用建模工具估计空气污染对健康的影响和成本被认为是对规划和管理进程的有益支持。本文介绍了DIATI离散与外部性模型(DIDEM)的最新发展。DIDEM模型通过计算外部性,按照影响路径法的方法模拟空气污染的影响。本工具对输入数据、数据格式化、污染物扩散模拟的管理和后处理、污染物诱发健康影响和成本的计算等实施核对和纠正程序。DIDEM模型在意大利都灵的区域供热(DH)网络的研究中进行了测试。在本案例研究中,根据健康损害成本的差异对两种情景(当前和未来)进行了评估。研究的第二阶段,包括评估未来的卫生保健系统的扩展,报告在本文中。结果表明,能源转换和分配管理的变化可能会影响研究区域健康影响的发生率和成本。最后报告了关于利用外部性作为支持能源规划的有效和明确指标的讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A DISPERSION AND EXTERNALITIES MODEL SUPPORTING ENERGY SYSTEM PLANNING: DEVELOPMENT AND CASE STUDY
High pollution levels in urban areas represent a hazard for human health. Energy conversion activities are one of the main sources of gaseous pollutants. At the local scale, starting from the planning stage, stakeholders need efficient indicators of the potential effects of an energy scenario on human health and the environment. In this sense, the use of modelling tools estimating health impacts and costs of air pollution is recognized as a useful support to planning and management processes. In this paper, an update of the development of the DIATI Dispersion and Externalities Model (DIDEM) is presented. The DIDEM model simulates the impacts of air pollution following the methodology of the impact pathway approach, through the calculation of externalities. This tool implements check and correction procedures on input data, data formatting, management and post-processing of pollutant dispersion simulation and calculation of pollutant-induced health effects and costs. DIDEM model was tested in a study of the district heating (DH) network of Turin, Italy. In this case study, two scenarios (present and future) were evaluated in terms of difference of health damage costs. The second stage of the study, consisting in the evaluation of a future extension of the DH system, is reported in this paper. The results show that changes in the management of energy conversion and distribution might affect the incidence and costs of health impacts over the studied area. A discussion on the use of externalities as an efficient and clear indicator for supporting energy planning is finally reported.
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