Quantifying the operational flexibility of building energy systems with thermal energy storages

被引：176
作者：
Stinner, Sebastian [1 ]
Huchtemann, Kristian [1 ]
Mueller, Dirk [1 ]
机构：
[1] Rhein Westfal TH Aachen, Inst Energy Efficient Bldg & Indoor Climate, Mathieustr 10, D-52074 Aachen, Germany
来源：
APPLIED ENERGY | 2016年 / 181卷
关键词：
Flexibility; Storage capacity; Thermal energy storage; Building energy systems; Renewable energy integration; DEMAND-SIDE MANAGEMENT; HEAT-PUMPS; POWER-SYSTEM; SOLAR POWER; ELECTRICITY; STRATEGIES; RENEWABLES; BENEFITS; MODELS; WIND;
D O I：
10.1016/j.apenergy.2016.08.055
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：
The increasing share of fluctuating renewable energy generation in the energy system increases the need for flexibility options. Building energy systems (BES) with their corresponding thermal energy storages (TES) can be one option for supplying flexibility. To use this option efficiently, a framework to quantify the flexibility of the BES is necessary. It is found that the flexibility of a BES can hardly be described with one single flexibility indicator. Therefore, this paper develops a method to analyze the flexibility of BES in terms of time, power and energy. Different influencing factors are considered, like the heat generator and the thermal storage size. Additionally, the option to aggregate the different flexibility measures on a city district level is addressed. This is necessary as single buildings have a minor impact on higher level energy systems. Finally, a comparison to other flexibility options like battery storage is discussed. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码：140 / 154
页数：15
相关论文
共 58 条
[1]  
[Anonymous], 2015, THESIS KU LEUVEN LEU
[2]   Domestic demand-side management (DSM): Role of heat pumps and thermal energy storage (TES) systems [J].
Arteconi, A. ;
Hewitt, N. J. ;
Polonara, F. .
APPLIED THERMAL ENGINEERING, 2013, 51 (1-2) :155-165
[3]   State of the art of thermal storage for demand-side management [J].
Arteconi, A. ;
Hewitt, N. J. ;
Polonara, F. .
APPLIED ENERGY, 2012, 93 :371-389
[4]   A review and probabilistic model of lifecycle costs of stationary batteries in multiple applications [J].
Battke, Benedikt ;
Schmidt, Tobias S. ;
Grosspietsch, David ;
Hoffmann, Volker H. .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2013, 25 :240-250
[5]   Least-cost options for integrating intermittent renewables in low-carbon power systems [J].
Brouwer, Anne Sjoerd ;
van den Broek, Machteld ;
Zappa, William ;
Turkenburg, Willi C. ;
Faaij, Andre .
APPLIED ENERGY, 2016, 161 :48-74
[6]   Operational flexibility and economics of power plants in future low-carbon power systems [J].
Brouwer, Anne Sjoerd ;
van den Broek, Machteld ;
Seebregts, Ad ;
Faaij, Andre .
APPLIED ENERGY, 2015, 156 :107-128
[7]   Increasing the Flexibility of Combined Heat and Power for Wind Power Integration in China: Modeling and Implications [J].
Chen, Xinyu ;
Kang, Chongqing ;
O'Malley, Mark ;
Xia, Qing ;
Bai, Jianhua ;
Liu, Chun ;
Sun, Rongfu ;
Wang, Weizhou ;
Li, Hui .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2015, 30 (04) :1848-1857
[8]   Demand response flexibility and flexibility potential of residential smart appliances: Experiences from large pilot test in Belgium [J].
D'hulst, R. ;
Labeeuw, W. ;
Beusen, B. ;
Claessens, S. ;
Deconinck, G. ;
Vanthournout, K. .
APPLIED ENERGY, 2015, 155 :79-90
[9]  
De Coninck R, 2013, BUILDING SIMULATION 2013: 13TH INTERNATIONAL CONFERENCE OF THE INTERNATIONAL BUILDING PERFORMANCE SIMULATION ASSOCIATION, P3250
[10]   Quantification of flexibility in buildings by cost curves - Methodology and application [J].
De Coninck, Roe ;
Helsen, Lieve .
APPLIED ENERGY, 2016, 162 :653-665
123456