Distributed energy management strategy for smart buildings based on V2B technology

doi:10.3969/j.issn.2097-0706.2025.11.003

Abstract

Abstract:

In traditional building energy management strategies， a single supply-demand adjustment mechanism struggles to balance energy efficiency improvement with carbon emission reduction. Vehicle-to-building （V2B） technology， an emerging energy management model， integrates electric vehicles into the smart building energy management system and optimizes building energy utilization through charging and discharging control. In this study， a V2B-based smart building energy management strategy was proposed that incorporated a dual incentive mechanism for electricity and carbon. The strategy guided electric vehicles to participate in the carbon trading market and designed an additional carbon-oriented adaptive time-of-use pricing model. The model comprehensively considered factors such as building heat storage characteristics and carbon emissions. It constructed a smart building energy management framework that included devices such as photovoltaics， wind power， gas turbines， and electric chillers. Simulation results demonstrated that the strategy effectively improved energy utilization efficiency and reduced carbon emissions.

Key words: smart building energy management system, V2B technology, energy management, adaptive time-of-use pricing, carbon trading, carbon emissions, electric vehicles

CLC Number:

TK01：TU201.5

LIU Ziteng, ZHAO Jianli, TAO Weijian, SHEN Cong, AI Qian. Distributed energy management strategy for smart buildings based on V2B technology[J]. Integrated Intelligent Energy, 2025, 47(11): 24-35.

Figures/Tables 10

Fig.1

Table 1

SBEMS model parameters

参数	数值	参数	数值
$D u n i t E V$ /[km·（kW·h）^-1]	5	$t m a x$ /℃	25
$E t i$ /[kg·（kW·h）^-1]	0.838 6	$P m a x E C$ /kW	300
$E u n i t I C V$ /(kg·km^-1)	0.561	$P m i n E C$ /kW	0
$α 0$	0.56	$P m a x E V, c h$ /kW	7.5
$β 0$	0.56	$P m a x E V, d i s$ /kW	7.5
$α$	0.25	$E m a x E V$ /（kW·h）	25.0
$β$	0.25	$E m i n E V$ /（kW·h）	2.5
$p b$ /（元·kg^-1）	0.267	$η c h$	0.88
$L 1$ /kW	100	$η d i s$	0.88
$L 2$ /kW	100	$A w a l l$ /m²	1 000
$p 0$ /[元·（kW·h）^-1]	0.45	$A w i n$ /m²	450
$p c b$ /(元·kg^-1)	0.30	$K w a l l$ /[W·（m²·K）^-1]	1.092
$α 0'$	0.20	$K w i n$ /[W·（m²·K）^-1]	2.800
$β 0'$	0.20	$P m a x M T$ /kW	500
$λ$	0.1	$P m i n M T$ /kW	0
$η s o l a r$	0.45	$Δ P m a x M T$ /(kW·h^-1)	55
$t m i n$ /℃	23	$Δ P m i n M T$ /(kW·h^-1)	55

Table 1

Fig.2

Table 2

Fig.3

Fig.4

Fig.5

Fig.6

Fig.7

Fig.8

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场景	购电成本/元	碳交易成本/元	充电成本/元	惩罚成本/元	光伏消纳率/%	风电消纳率/%	碳排放量/kg
1	6 926.99		426.26	0	72.47	70.57	3 256.32
2	6 411.52	523.47	265.00	56.24	77.94	77.96	2 863.55
3	5 830.02	455.37	210.35	32.15	90.92	83.70	2 045.35
4	5 601.05	336.59	-353.87	6.67	94.99	92.89	1 240.87