出 处:《建筑节能》2016年第8期128-128,共1页BUILDING ENERGY EFFICIENCY
摘 要:The primary objective of this paper is to demonstrate improved energy efficiency for domestic hot water(DHW)production in residential buildings.This is done by deriving data-driven optimal heating schedules(used interchangeably with policies)automatically.The optimization leverages actively learnt occupant behaviour and models for thermodynamics of the storage vessel to operate the heating mechanism-an air-source heat pump(ASHP)in this case-at the highest possible efficiency.The proposed algorithm,while tested on an ASHP,is essentially decoupled from the heating mechanism making it sufficiently robust to generalize to other types of heating mechanisms as well.Simulation results for this optimization based on data from 46 Net-Zero Energy Buildings(NZEB)in the Netherlands are presented.These show a reduction of energy consumption for DHW by 20%using a computationally inexpensive heuristic approach,and 27%when using a more intensive hybrid ant colony optimization based method.The energy savings are strongly dependent on occupant comfort level.This is demonstrated in real-world settings for a low-consumption house where active control was performed using heuristics for 3.5months and resulted in energy savings of 27%(61 kW h).It is straightforward to extend the same models to perform automatic demand side management(ADSM)by treating the DHW vessel as a flexibility bearing device.Increase in cooling energy usage of the residential sector in Hong Kong has been moderate in the most recent ten years(2004-2013).Factors and drivers responsible for this are of interest to policy makers in search of performance improvement but such information is not available in extant literature.This paper reviews the policy instruments introduced in Hong Kong during this period of time and examines the different engineering factors contributing to improvements in cooling energy efficiency.Whether the policy instruments have been instrumental in bringing about changes in engineering design and thus improvement in cooling energy efficiency is evaluated on the basis of the equipment and building envelope characteristics of 64 residential developments in Hong Kong.Different statistical analyses reveal that the use of more energy efficient room air-conditioning units(COP),smaller window-to-wall ratios(WWR)and walls with higher U-values are the engineering factors(WallU)that have contributed to moderation of growth of energy consumption;these were driven by policies introduced by the Hong Kong Government.Regarding the sensitivity of the three engineering factors,it was found that COP was the highest amounting to 0.455,followed in descending order by Wal-1U and WWR.Their sensitivities were 0.289 and 0.006,respectively.
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