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控制蓄电以平衡建筑物的电力成本和温室气体排放。

Controlling electricity storage to balance electricity costs and greenhouse gas emissions in buildings.

作者信息

Aryai Vahid, Goldsworthy Mark

机构信息

Commonwealth Scientific and Industrial Research Organisation, 10 Murray Dwyer Cr., Mayfield West, NSW Australia.

出版信息

Energy Inform. 2022;5(1):11. doi: 10.1186/s42162-022-00216-5. Epub 2022 Jul 27.

Abstract

The optimal management of flexible loads and generation sources such as battery storage systems in buildings is often concerned with minimizing electricity costs. There is an increasing need to managed flexible resources in a way that minimises both costs and carbon emissions. Minimising emissions of grid consumed electricity requires quantification of the carbon emissions intensity of the electricity grid, so first we develop a real-time emission intensity model of the Australian National Energy Market using a power-flow tracing approach. This model reveals that electricity price signals currently do not drive consumers toward using electricity at times of lower emissions. For example, the mean and peak emissions intensity during low electricity tariff periods are the same or slightly higher than those during high tariff periods, while the 30-min wholesale electricity price in each region has no significant correlation with the emissions intensity of electricity consumed in that region. The emissions model is then used to investigate the extent to which controlling a battery storage system to minimise costs under existing electricity tariff structures also leads to minimisation of greenhouse gas emissions for a case study commercial office building. Results show that reducing emissions does indeed come at the expense of increasing costs. For example, annual operating cost savings reduced from 31% to 20% when the battery control was changed from minimising costs to minimising emissions. This has important implications for buildings seeking to reduce emissions as well as for the design of electricity tariffs.

摘要

建筑物中灵活负载和发电资源(如电池存储系统)的优化管理通常涉及将电力成本降至最低。越来越需要以一种既能将成本降至最低又能减少碳排放的方式来管理灵活资源。要将电网消耗电力的排放量降至最低,需要对电网的碳排放强度进行量化,因此我们首先使用潮流追踪方法开发了澳大利亚国家能源市场的实时排放强度模型。该模型显示,目前的电价信号并未促使消费者在排放较低的时段使用电力。例如,低电价时段的平均和峰值排放强度与高电价时段相同或略高,而每个地区30分钟的批发电价与该地区消耗电力的排放强度没有显著相关性。然后,利用该排放模型,针对一座商业办公楼的案例研究,调查在现有电价结构下控制电池存储系统以最小化成本的同时,能在多大程度上实现温室气体排放的最小化。结果表明,减少排放确实是以增加成本为代价的。例如,当电池控制从最小化成本改为最小化排放时,年度运营成本节省从31%降至20%。这对寻求减排的建筑物以及电价设计具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7eba/9328010/2b751379c661/42162_2022_216_Fig1_HTML.jpg

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