区域供暖系统设施能效监测:确定能源基线的方法

IF 0.3 Q4 ENERGY & FUELS Problemele Energeticii Regionale Pub Date : 2022-02-01 DOI:10.52254/1857-0070.2022.1-53.06
L. Davydenko, N. Davydenko, V. Davydenko, David Sprake
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引用次数: 2

摘要

能源消耗水平的确定是能源效率监测设施的一个阶段。本文的目的是根据ISO 50000标准的要求,使能源基线适应设施的运行条件。为实现这一目标,提出了确定能源基线的方法。主要的科学成果是考虑到变量的显著性、测量的可能性、可控性和控制性的三阶段能源基线相关变量集的形成过程,以及构建能源基线最优结构的多因素模型的过程。将该方法应用于某区域供热系统的锅炉房。对影响锅炉房燃气消耗效率的因素进行三级选择,形成相关变量。采用分组数据处理的组合算法进行燃气消耗模拟。对六类基本函数进行了最优复杂度模型的搜索。根据数学模型的适宜性标准(规则性标准、无偏性标准、施瓦茨标准、决定系数标准)和形态标准预测的准确性,实现了数学模型结构的优选。建立了多因素优化结构的数学模型。预测误差不超过1%。研究结果的意义在于,所建议的方法可适用于任何设施。
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Monitoring of Energy Efficiency of District Heating System Facilities: Methodology for Determining the Energy Baseline
Determining the energy consumption level is one of the stages of energy efficiency monitoring facilities. The aim of the article is to adapt the energy baseline to the operating conditions of the facility in accordance with the ISO 50000 Standards requirements. The methodology for determining the energy baseline was proposed to achieve the goal. The three-stage procedure for forming a set of relevant variables of the energy baseline, which allows taking into account the significance of variables, the possibility of their measurement, controllability and control, and the procedure for constructing a multifactorial model of the optimal structure for determining the energy baseline are the main scientific results. This methodology was applied to a boiler house of a district heating system. Relevant variables were formed using a three-stage selection of factors that influence the gas consumption efficiency of the boiler house. Combinatorial algorithm of the group method of data handling was used for gas consumption simulation. The search for models of optimal complexity was performed in six classes of basic functions. The selection of better structures of the mathematical model was realized based on the criteria for its appropriateness (regularity, unbiasedness criterion, Schwartz, determination coefficient) and accuracy of the forecast using the morphological criterion. As a result, a multifactor mathematical model of optimal structure was obtained. The percent forecasting error did not exceed 1%. The significance of the results lies in the fact that the proposed methodology can be applied to any facility.
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来源期刊
CiteScore
0.70
自引率
33.30%
发文量
38
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