Life-cycle cost benefit analysis and optimal design of small scale active storage system for building demand limiting

被引:23
作者
Cui, Borui [1 ]
Wang, Shengwei [1 ]
Sun, Yongjun [1 ,2 ]
机构
[1] Hong Kong Polytech Univ, Dept Bldg Serv Engn, Hong Kong, Hong Kong, Peoples R China
[2] City Univ Hong Kong, Div Bldg Sci & Technol, Hong Kong, Hong Kong, Peoples R China
关键词
Simulation-based optimal design; Small scale active storage system; Building demand limiting; Life-cycle cost saving; OPTIMAL-CONTROL STRATEGY; PHASE-CHANGE MATERIALS; COMMERCIAL BUILDINGS; ENERGY; PERFORMANCE; INVENTORY;
D O I
10.1016/j.energy.2014.06.084
中图分类号
O414.1 [热力学];
学科分类号
摘要
This paper presents a quantitative analysis on the life-cycle cost saving potentials of active cold storage systems concerning the operational cost, initial investment and the space cost. A simulation-based optimal design method is developed and used to optimize the storage capacity and analyze the impact of the capacity on the life-cycle cost saving potentials. Using the actual load profiles of three real buildings of different sizes, the life-cycle cost saving potentials under demand limiting control are investigated under Hong Kong electricity price structure. The optimal storage capacities, monthly/annual operational cost savings and corresponding peak demand set-points are obtained from using the marginal decision rule. Results show that small scale storages can offer substantial annual net cost saving. In addition, it can help the grid to achieve higher grid power reliability by enhancing the demand response ability of buildings. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:787 / 800
页数:14
相关论文
共 31 条
[1]  
[Anonymous], 1993, ASHRAE DES GUID COOL
[2]  
Arkin H, 1997, J BUILD SERV ENG RES, V18, P31
[3]   Optimal cool storage capacity for load management [J].
Ashok, S ;
Banerjee, R .
ENERGY, 2003, 28 (02) :115-126
[4]   A near-optimal control strategy for cool storage systems with dynamic electric rates (RP-1252) [J].
Braun, James E. .
HVAC&R RESEARCH, 2007, 13 (04) :557-580
[5]   Evaluating the performance of building thermal mass control strategies [J].
Braun, JE ;
Montgomery, KW ;
Chaturvedi, N .
HVAC&R RESEARCH, 2001, 7 (04) :403-428
[6]   Maximisation of heat transfer in a coil in tank PCM cold storage system [J].
Castell, A. ;
Belusko, M. ;
Bruno, F. ;
Cabeza, L. F. .
APPLIED ENERGY, 2011, 88 (11) :4120-4127
[7]   COST-BENEFIT-ANALYSIS OF A COOLING ENERGY-STORAGE SYSTEM [J].
CHEN, CS ;
SHEEN, JN .
IEEE TRANSACTIONS ON POWER SYSTEMS, 1993, 8 (04) :1504-1510
[8]  
Drees KH, 1996, HVAC&R RES, V2, P332
[9]  
Henze G.P., 2004, International Journal of Thermal Sciences, V43, P173, DOI [DOI 10.1016/J.IJTHERMALSCI.2003.06.001, 10.1016/j.ijthermalsci.2003.06.001]
[10]   Energy and cost minimal control of active and passive building thermal storage inventory [J].
Henze, GP .
JOURNAL OF SOLAR ENERGY ENGINEERING-TRANSACTIONS OF THE ASME, 2005, 127 (03) :343-351