State-Of-The-Art Review of Mathematical Optimisation Approaches for Synthesis of Energy Systems

被引：57
作者：
Andiappan V. [1 ]
机构：
[1] Energy and Environmental Research Group, School of Engineering, Taylor’s University, Lakeside Campus, No. 1 Jalan Taylor’s, Subang Jaya, 47500, Selangor
来源：
Process Integration and Optimization for Sustainability | 2017年 / 1卷 / 3期
关键词：
Energy system; Mathematical optimisation; Synthesis;
D O I：
10.1007/s41660-017-0013-2
中图分类号：
学科分类号：
摘要：
An energy system is a crucial component in fulfilling the energy requirements of a given industrial process. If not designed appropriately, energy systems may not be able to perform designated operations in an optimised manner. Mathematical optimisation approaches have had a long history in addressing the synthesis of energy systems. Mathematical optimisation approaches are part of a larger domain known as process systems engineering (PSE). The main objective of this review is to provide a state-of-the-art overview of the mathematical optimisation approaches developed, particularly those developed for synthesis of energy systems, including the handling of uncertainty and the optimisation of multiple objectives. Subsequently, the synthesis of energy systems is further discussed on specific areas such as reliability, operability, flexibility and retrofit and eco-industrial parks. Following this, an overall analysis of the contributions in these areas is provided. Finally, future research directions are identified at the end of this review. © 2017, Springer Nature Singapore Pte Ltd.
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页码：165 / 188
页数：23
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共 209 条
  • [1] Aguilar O., Kim J.K., Perry S., Smith R., Availability and reliability considerations in the design and optimisation of flexible utility systems, Chem Eng Sci, 63, pp. 3569-3584, (2008)
  • [2] Aguilar O., Perry S.J., Kim J.-K., Smith R., Design and optimization of flexible utility systems subject to variable conditions part 1: modelling framework, Chem Eng Res Des, 85, pp. 1136-1148, (2007)
  • [3] Aguilar O., Perry S.J., Kim J.-K., Smith R., Design and optimization of flexible utility systems subject to variable conditions part 2: methodology and applications, Chem Eng Res Des, 85, pp. 1149-1168, (2007)
  • [4] Ahmad S., Polley G.T., Debottlenecking of heat exchanger networks, Heat Recover Syst CHP, 10, pp. 369-385, (1990)
  • [5] Al-Sulaiman F., Hamdullahpur F., Dincer I., Trigeneration: a comprehensive review based on prime movers, Int. J. Energy Res, 35, pp. 233-258, (2011)
  • [6] Alshekhli O., Foo D.C.Y., Hii C.L., Law C.L., Process simulation and debottlenecking for an industrial cocoa manufacturing process, Food Bioprod Process, 89, pp. 528-536, (2010)
  • [7] Arcuri P., Beraldi P., Florio G., Fragiacomo P., Optimal design of a small size trigeneration plant in civil users: a MINLP (mixed integer non linear programming model), Energy, 80, pp. 628-641, (2015)
  • [8] Atkins M., Walmsley M., Morrison A., Neale J., Process integration in pulp and paper mills for energy and water reduction—a review, 65Th Appita Annual Conference and Exhibition: Rotorua New Zealand 10–13 April, 2011, pp. 299-306, (2011)
  • [9] Aviso K.B., Design of robust water exchange networks for eco-industrial symbiosis, Process Saf Environ Prot, 92, pp. 160-170, (2014)
  • [10] Aviso K.B., Tan R.R., Culaba A.B., Designing eco-industrial water exchange networks using fuzzy mathematical programming, Clean Techn Environ Policy, 12, pp. 353-363, (2010)
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