Process Integration techniques for optimal design of hybrid power systems

被引:61
作者
Rozali, Nor Erniza Mohammad [1 ]
Alwi, Sharifah Rafidah Wan [1 ]
Manan, Zainuddin Abdul [1 ]
Klemes, Jiri Jaromir [2 ]
Hassan, Mohammad Yusri [3 ]
机构
[1] Univ Teknol Malaysia, Fac Chem Engn, Proc Syst Engn Ctr PROSPECT, Johor Baharu 81310, Malaysia
[2] Univ Pannonia, Fac Informat Technol, Res Inst Chem & Proc Engn MUKI, Ctr Proc Integrat & Intensificat, H-8200 Veszprem, Hungary
[3] Univ Teknol Malaysia, Fac Elect Engn, CEES, Johor Baharu 81310, Johor, Malaysia
关键词
Power Pinch Analysis (PoPA); Hybrid systems; Renewable energy; Storage capacity; Maximum power demand; Numerical targeting techniques; HEAT; CARBON; NETWORKS; TARGETS;
D O I
10.1016/j.applthermaleng.2012.12.038
中图分类号
O414.1 [热力学];
学科分类号
摘要
Power Pinch Analysis (PoPA) is a technique for the optimal power allocation in hybrid systems comprising of renewable energy sources. The graphical PoPA tools have recently been proposed to determine targets for the minimum amount of outsourced electricity and the maximum amount of excess electricity to be stored and reused in the hybrid power systems. The numerical techniques for PoPA have so far not been developed. This work introduces two new PoPA numerical tools known as the Power Cascade Analysis (PoCA) and the Storage Cascade Table (SCT). The tools can be used to determine (1) the minimum target for outsourced electricity, (2) the amount of excess electricity for storage during start up and normal operations, (3) the amount of transferrable power, (4) the maximum storage (e.g. battery) capacity for the off-grid systems, (5) the amount of electricity transferrable to the grid, (6) the amount of outsourced electricity needed at each time interval and (7) the time interval where the maximum power demand occurs. While the graphical techniques provide useful visualisation insights, the numerical tools enable more rapid and precise allocation of power as well as the determination of electricity targets. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:26 / 35
页数:10
相关论文
共 36 条
[21]   A numerical technique for Total Site sensitivity analysis [J].
Liew, Peng Yen ;
Alwi, Sharifah Rafidah Wan ;
Varbanov, Petar Sabev ;
Manan, Zainuddin Abdul ;
Klemes, Jiri Jaromir .
APPLIED THERMAL ENGINEERING, 2012, 40 :397-408
[22]   SYNTHESIS OF HEAT-EXCHANGER NETWORKS .1. SYSTEMATIC GENERATION OF ENERGY OPTIMAL NETWORKS [J].
LINNHOFF, B ;
FLOWER, JR .
AICHE JOURNAL, 1978, 24 (04) :633-642
[23]  
Linnhoff B., 1982, A user guide on process integration for the efficient use of Energy
[24]   Targeting the minimum water flow rate using water cascade analysis technique [J].
Manan, ZA ;
Tan, YL ;
Foo, DCY .
AICHE JOURNAL, 2004, 50 (12) :3169-3183
[25]  
Misman M., 2010, INT C PROC ENG ADV M
[26]   Methodology for maximising the use of renewables with variable availability [J].
Nemet, Andreja ;
Klemes, Jiri Jaromir ;
Varbanov, Petar Sabev ;
Kravanja, Zdravko .
ENERGY, 2012, 44 (01) :29-37
[27]   Numerical techniques for determining heat energy targets in pinch analysis [J].
Salama, AIA .
COMPUTERS & CHEMICAL ENGINEERING, 2005, 29 (08) :1861-1866
[28]   Component-less design of recovery and allocation systems: a functionality-based clustering approach [J].
Shelley, MD ;
El-Halwagi, MM .
COMPUTERS & CHEMICAL ENGINEERING, 2000, 24 (9-10) :2081-2091
[29]   Unified targeting algorithm for diverse process integration problems of resource conservation networks [J].
Shenoy, Uday V. .
CHEMICAL ENGINEERING RESEARCH & DESIGN, 2011, 89 (12A) :2686-2705
[30]  
Smith R, 2005, CHEM PROCESS DESIGN