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Analysis of Multi-objective Optimal Dispatch of Cogeneration with Thermal Energy Storage for Building Energy Management System

机译:建筑蓄热系统热能联供多目标最优调度分析

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This paper presents analysis of the multi-objective optimal operation of designed BEMS which contains cogeneration or combined heat and power (CHP) and thermal energy storage (TES) as energy sources. The previously designed BEMS consists of CHP as the main energy supply with absorption chiller and auxiliary boiler. It is observed that there is excessive heat energy from CHP operation which is enough for further utilization. In this paper, TES is additional component to utilize excessive heat energy released from CHP operation. TES cooperates with CHP and auxiliary boiler to supply heat energy to meet the cooling load demand in the building. There are two objective functions for consideration, namely, total operating cost (TOC) and total carbon dioxide emission (TCOE). The multi-objective framework combines both objective functions and employs the weighted sum of TOC and TCOE. Furthermore, we vary initial state of TES from 0-20% of TES’s capacity and analyze its effect on TOC and TCOE. We apply the multi-objective approach to a large shopping mall. Numerical results show that setting initial state of TES to 0% can offer more reduction of TOC and TCOE than other initial conditions. The multi-objective optimal operation converges to minimum TOC when a weighting factor is 0. On the other hand, it converges to the minimum TCOE when the weighting factor is 1. In addition, the trade-off curve showing a relationship between TOC and TCOE provides operating points which depends on operator’s decision criterion.
机译:本文介绍了设计的BEMS的多目标最优运行分析,该BEMS包含热电联产或热电联产(CHP)和热能存储(TES)作为能源。以前设计的BEMS由CHP组成,主要能源为吸收式制冷机和辅助锅炉。可以观察到,CHP运行产生的多余热能足以进一步利用。在本文中,TES是利用CHP操作释放的过多热能的附加组件。 TES与CHP和辅助锅炉合作提供热能,以满足建筑物中的冷却负荷需求。有两个要考虑的目标函数,即总运营成本(TOC)和总二氧化碳排放量(TCOE)。多目标框架结合了两个目标函数,并采用了TOC和TCOE的加权和。此外,我们将TES的初始状态从TES容量的0%更改为20%,并分析其对TOC和TCOE的影响。我们将多目标方法应用于大型购物中心。数值结果表明,将TES的初始状态设置为0%可以比其他初始条件提供更多的TOC和TCOE降低。当加权因子为0时,多目标最优操作收敛到最小TOC。另一方面,当加权因子为1时,多目标最优操作收敛到最小TCOE。此外,权衡曲线显示了TOC和TCOE之间的关系。提供取决于操作员决策标准的操作点。

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