Modular energy cost optimization for buildings with integrated microgrid
被引:50
作者:
Lesic, Vinko
论文数: 0引用数: 0
h-index: 0
机构:
Univ Zagreb, Lab Renewable Energy Syst, Fac Elect Engn & Comp, Unska 3, HR-10000 Zagreb, CroatiaUniv Zagreb, Lab Renewable Energy Syst, Fac Elect Engn & Comp, Unska 3, HR-10000 Zagreb, Croatia
Lesic, Vinko
[1
]
Martincevic, Anita
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h-index: 0
机构:
Univ Zagreb, Lab Renewable Energy Syst, Fac Elect Engn & Comp, Unska 3, HR-10000 Zagreb, CroatiaUniv Zagreb, Lab Renewable Energy Syst, Fac Elect Engn & Comp, Unska 3, HR-10000 Zagreb, Croatia
Martincevic, Anita
[1
]
Vasak, Mario
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h-index: 0
机构:
Univ Zagreb, Lab Renewable Energy Syst, Fac Elect Engn & Comp, Unska 3, HR-10000 Zagreb, CroatiaUniv Zagreb, Lab Renewable Energy Syst, Fac Elect Engn & Comp, Unska 3, HR-10000 Zagreb, Croatia
Vasak, Mario
[1
]
机构:
[1] Univ Zagreb, Lab Renewable Energy Syst, Fac Elect Engn & Comp, Unska 3, HR-10000 Zagreb, Croatia
Buildings energy management;
Zone comfort control;
Energy efficiency;
Microgrid energy management;
Volatile pricing;
Hierarchical model predictive control;
MODEL-PREDICTIVE CONTROL;
RENEWABLE ENERGY;
DEMAND RESPONSE;
SIMULATION;
SYSTEMS;
CHALLENGES;
MANAGEMENT;
STRATEGY;
DEVICES;
FUTURE;
D O I:
10.1016/j.apenergy.2017.03.087
中图分类号:
TE [石油、天然气工业];
TK [能源与动力工程];
学科分类号:
0807 ;
0820 ;
摘要:
Buildings are becoming suitable for application of sophisticated energy management approaches to increase their energy efficiency and possibly turn them into active energy market participants. The paper proposes a modular coordination mechanism between building zones comfort control and building microgrid energy flows control based on model predictive control. The approach opens possibilities to modularly coordinate technologically heterogeneous building subsystems for economically-optimal operation under user comfort constraints. The imposed modularity is based on a simple interface for exchanging building consumption and microgrid energy price profiles. This is a key element for technology separation, replication and up-scaling towards the levels of smart grids and smart cities where buildings play active roles in energy management. The proposed coordination mechanism is presented in a comprehensive realistic case study of maintaining comfort in an office building with integrated micro grid. The approach stands out with significant performance improvements compared to various non coordinated predictive control schemes and baseline controllers. Results give detailed information about yearly cost-effectiveness of the considered configurations, which are suitable for deployment as short and long-term zero-energy building investments. (C) 2017 Elsevier Ltd. All rights reserved.
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页码:14 / 28
页数:15
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