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ENERGETIC OPTIMAL HEATING AND COOLING CURVES (FOR AIR SUPPLY)

机译:精力充沛的最佳加热和冷却曲线(用于供气)

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New Dutch office buildings are built under strict energy efficient legislation and well equipped with insulation, condensing boilers, heat recovery systems, etc. Despite this, many buildings don’t perform as energy efficiently as expected. Also comfort problems occur in large numbers. The problem seems to be the frequently used conventional control strategies, most of which were developed at a time when buildings had no insulation and were equipped only with single glazing. These common used conventional strategies in the Netherlands are: supply air temperature of 20 °C in winter and 16 °C during summer. When these conventional strategies are used in modern office buildings, much energy is spoiled due to a mismatch between heating and cooling demands and supply on central and local level. In the intermediate season heat is supplied at central level in order to condition the supply air while at local level cooling is supplied to cool the room air temperature to its setpoint. This heating and cooling at the same moment is a nondesirable situation.In this paper a method is described how to determine the supply air temperature settings in order to minimise the energy spoiled due to mismatches in supply and demand. The method uses building simulation to derive the optimised temperature set points. Application of this method will give energetic optimal heating and cooling curves. Energy savings of up to 35% can be realised without significant financial investments by devoting extra attention to the settings of the central AHU in HVAC systems without loss of comfort. In most cases the number of comfort complaints will also be reduced. The design method can be used in both new and existing buildings. This paper presents: a) A brief description of the method used to realise this energy saving. B) A practical example c) How this method is integrated in a building simulation tool.
机译:新的荷兰办公大楼是在严格的节能立法中建造的,并且具有绝缘,冷凝锅炉,热回收系统等。尽管如此,许多建筑物不会随着预期的能力而能够有效地表现为能量。大量的舒适问题也发生了。问题似乎是经常使用的传统控制策略,其中大部分是在建筑物没有绝缘的时候开发的,只有单层玻璃。荷兰的这些常见的使用传统策略是:在冬季和16°C时供应20°C的空气温度和16°C。当这些传统策略用于现代化的办公楼时,由于中央和地方和地方的供应与局部和局部供应之间的不匹配,因此很多能量都被宠坏了。在中央季节中,在中央季度提供,以便在局部水平冷却时向供应空气提供调节,以将室内空气温度冷却到其设定点。在同一时刻的这种加热和冷却是一种不可思议的情况。本文描述了一种方法是如何确定供应空气温度设置,以便最小化由于供需不匹配而破坏的能量。该方法使用建筑模拟来得出优化的温度设定点。该方法的应用将提供精力充沛的最佳加热和冷却曲线。通过在没有舒适的情况下致力于额外关注AHU中央AHU的环境,可以实现高达35%的能源节省高达35%的能源节省。在大多数情况下,舒适投诉的数量也将减少。设计方法可用于新建和现有建筑物。本文呈现:a)用于实现这种节能的方法的简要说明。 b)一个实用的例子c)如何在建筑模拟工具中集成该方法。

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