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An exergy-rational district energy model for 100% renewable cities with distance limitations

机译:一个距离限制的100%可再生城市的一个无法理性的区能源模型

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While moving towards 100 per-cent renewable district energy systems at low temperatures, the exergy of the district energy may decrease below the pumping exergy requirement, which eliminates the benefits of using low-exergy renewables. Because such a possibility may not be revealed by the First Law, an exergy-based holistic model for district energy systems was developed. Four tiers, namely renewable energy resources, energy conversion and storage, main district network, and the low-exergy district are identified. Each tier is indexed to the optimum plant-to-district distance for maximum exergy-based performance with minimum CO2 emissions responsibility. This model further optimizes the temperature peaking with heat pumps versus HVAC equipment oversizing and determines the optimum mix of renewables. Three alternatives of conveying and distributing exergy to the district were considered, namely; 1- electricity only, 2- electricity and heat with or without temperature peaking or equipment oversizing, 3- electricity, heat, and cold. Comparisons showed that the choice primarily depends upon the district size, district-to-plant distance, climatic conditions, local availability of renewable energy sources, optimum supply temperature, and thermal condition of the buildings. Another algorithm optimizes the thermal insulation thickness in terms of equipment oversizing and temperature-peaking.
机译:在低温下向100个每美市的可再生区能源系统迈向100时,区间能源的漏极可能会降低泵浦的能力低于,这消除了利用低通胀可再生能源的益处。因为第一法可能无法透露这种可能性,因此开发了一个基于区域能源系统的整体模型。鉴定了四层,即可再生能源资源,能源转换和存储,主要区网络和低通路区。每个层被索引到最佳工厂到地区距离,以实现最大的基于ofergy的性能,最低的CO2排放责任。该模型进一步优化了热泵与HVAC设备超大的温度峰值,并确定可再生能源的最佳混合。考虑了三个传送和分配到该区的替代方案; 1-电力,2-电力和热量,有或没有温度达到峰值或设备,超大,3-电,热,冷。比较表明,该选择主要取决于地区大小,地区到植物距离,气候条件,可再生能源的局部可用性,最佳供应温度和建筑物的热条件。另一种算法在设备超大和温度峰值方面优化了隔热厚度。

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