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Optimisation models for decision support in the development of biomass-based industrial district-heating networks in Italy

机译:意大利基于生物质的工业区域供热网络发展中决策支持的优化模型

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摘要

A system optimisation approach is proposed to design biomass-based district-heating networks in the context of industrial districts, which are one of the main successful productive aspects of Italian industry. Two different perspectives are taken into account, that of utilities and of policy makers, leading to two optimisation models to be further integrated. A mixed integer linear-programming model is developed for a utility company's profit maximisation, while a linear-programming model aims at minimising the balance of greenhouse-gas emissions related to the proposed energy system and the avoided emissions due to the substitution of current fossil-fuel boilers with district-heating connections. To systematically compare their results, a sensitivity analysis is performed with respect to network size in order to identify how the optimal system configuration, in terms of selected boilers to be connected to a multiple energy-source network, may vary in the two cases and to detect possible optimal sizes. Then a factorial analysis is adopted to rank desirable client types under the two perspectives and identify proper marketing strategies. The proposed optimisation approach was applied to the design of a new district-heating network in the chair-manufacturing district of North-East-ern Italy.
机译:提出了一种系统优化方法来设计工业区范围内基于生物质的区域供热网络,这是意大利工业成功的主要生产要素之一。考虑到公用事业和决策者这两种不同的观点,从而导致两个优化模型需要进一步集成。为公用事业公司的利润最大化开发了混合整数线性规划模型,而线性规划模型旨在最小化与拟议能源系统相关的温室气体排放平衡,以及由于替代当前的化石燃料而避免的排放量。带区域供热连接的燃油锅炉。为了系统地比较其结果,针对网络规模进行了敏感性分析,以确定在连接到多能源网络的所选锅炉方面,最佳系统配置在两种情况下如何变化,以及检测可能的最佳尺寸。然后,采用阶乘分析来根据这两种观点对所需的客户类型进行排名,并确定适当的营销策略。拟议的优化方法已应用于意大利东北部椅子制造区的新区域供热网络的设计。

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