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DSM interactions: What is the impact of appliance energy efficiency measures on the demand response (peak load management)?

机译:DSM互动:家电能效措施对需求响应的影响是什么(峰值负荷管理)?

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To date, research has mostly focused on the impact of energy efficiency on the total electricity demand but not on the electricity demand profiles. To address this gap, we estimate the impact of energy efficiency measures and policies such as minimum energy performance standards on the peak load by developing a bottom-up model that generates Swiss household hourly electricity demand profiles per appliance based on time use data. The model estimates that evening appliance peak demand can be reduced by 38% when the appliances are replaced by the highest energy efficiency label available on market. We find that changing light bulbs to LED would have the same peak reduction as switching cooking or wet appliances to off-peak periods throughout the year. We also show that the evening appliance peak demand could reduce in 2035 by 24% thanks to the improvement of the energy performance of the stock. Cooking appliances, the least favourable appliances to be involved in demand response, is expected to be the highest contributors to the evening peak in 2035. Our findings show that policy makers should pay due attention to energy efficiency improvement not only for reducing electricity demand but also in order to reduce peak load.
机译:迄今为止,研究大多专注于能源效率对总电需求但不对电力需求概况的影响。为了解决这一差距,我们通过开发基于时间使用数据的自下而上的模型来估计能效措施和最低能量性能标准的影响,例如最低能量性能标准,如最低能量性能标准,这些模型基于时间使用数据,每个设备生成瑞士家庭每小时电力需求配置文件。当电器被市场上可用的最高能效标签取代时,型号估计,晚上电器峰值需求可以减少38%。我们发现,将灯泡变为LED在全年的开关烹饪或潮湿设备中的峰值减少相同。我们还表明,由于股票的能源绩效,晚上电器峰值需求可能会在2035年内减少24%。烹饪器具,最不利的电器涉及需求的响应,预计将成为2035年晚上峰顶的最高贡献者。我们的调查结果表明,政策制定者应尽可能重视能源效率的改进,不仅用于降低电力需求,还要适应降低电力需求为了减少峰值负荷。

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