Automated targeting model for synthesis of heat exchanger network with utility systems

Goh, Wui Seng; Wan, Yoke Kin; Tay, Chun Kiat; Ng, Rex T.L.; Ng, Denny K. S.

doi:10.1016/j.apenergy.2015.04.113

Cited by 27 publications

(13 citation statements)

References 63 publications

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“…Work and heat exchanger networks (WHENs) have become increasingly important for the field of process system engineering in the past few years. Growing research has distinctly shown that work and heat integration plays a critical role for reaching significant energy and cost savings, while enhancing system energy efficiency [1,2]. This is especially relevant for energy-intensive processes in oil refineries and cryogenic technology, such as the air separation, hydrogen liquefaction and production of liquefied natural gas (LNG) [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Optimal synthesis of work and heat exchangers networks considering unclassified process streams at sub and above-ambient conditions

Onishi

Quirante

Ravagnani³

2018

Applied Energy

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Section: Introductionmentioning

confidence: 99%

Optimal synthesis of work and heat exchangers networks considering unclassified process streams at sub and above-ambient conditions

Onishi

Quirante

Ravagnani³

2018

Applied Energy

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“…The prices of boiler fuel natural gas and generated power are 0.227 $·kg −1 and 0.076 $·kWh −1 [18], respectively. Efficiencies of boiler and turbine are set to be 0.9 and 0.7 [17]. Annual operation time is 8000 h·y −1 .…”

Section: Case Descriptionmentioning

confidence: 99%

“…Hipólito-Valencia et al [16] combined an organic Rankine cycle with HEN and converted waste heat into mechanical energy, which provided more inspiration for the combination of HEN and other processes. Goh et al [17] synthesized a HEN and utility system simultaneously, but the minimum operating cost, hot and cold utility demands were determined in advance through multiple cascade automated targeting, without realizing the overall optimization. Luo et al [18] integrated a HEN with a utility system, using the sensible heat of steam condensate to heat cold process streams.…”

Section: Introductionmentioning

confidence: 99%

Simultaneous Synthesis of Heat Exchanger Networks Considering Steam Supply and Various Steam Heater Locations

et al. 2020

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In process industries, the heating gap in heat exchanger networks (HENs) is normally compensated by the steam generated from a utility system, thus these two mutually influencing systems should be designed as a whole through establishing structural interrelationships. In this work, an improved stage-wise superstructure of HENs is proposed to integrate with a Rankine cycle-based utility system. Inner- and inter-stage heaters are considered in the new structure. Furthermore, the selection of steam in different levels is also investigated, extending the possibilities of steam utilization in HENs and generation in utility systems. The presented methodology is able to realize the optimal design of HENs by considering the supply and utilization of steam. Heaters’ allocations, matches of streams, steam distribution and utilization are optimized accompanying with the trade-off amongst equipment investment, fuel consumption and power generation in objective, which is highly related to the final structure of the system. The optimization problem is formulated into a mixed-integer non-linear programming (MINLP) model and solved towards the lowest total annual cost (TAC) of the entire system. Finally, a case study with two scenarios is studied. The detailed results are given and analyzed to demonstrate the benefit from structural improvement.

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“…Based on the problem statement, MDST is considered in the synthesis of sustainable CUS for an EIP and simultaneous targeting of steam across DDST and MDST is needed. Thus, MCAT that was developed by Goh et al (2016) for utility system is extended in this work to determine the allocation of steam, distribution of steam and potential power generated from DDSTs and MDSTs.…”

Section: Automated Targeting Approachmentioning

confidence: 99%

“…As shown in their work, MCAT has the advantage to handle multiple process parameters to optimise a system via automated targeting approach. More recently, Goh et al (2016) adapted MCAT to simultaneously synthesise a Heat Exchange Network (HEN) with utility system. As shown in the previous works (Ng et al 2009a, b;Shabbir et al 2012;Goh et al 2016), the main advantages of automated targeting approach are that it was able to provide a valuable insight prior to detailed design and offer a greater flexibility in setting objective function over the conventional techniques.…”

Section: Automated Targeting Approachmentioning

confidence: 99%

Hybrid Optimisation Model for the Synthesis of Centralised Utility System in Eco-Industrial Park

Teo

Wau

et al. 2017

Process Integr Optim Sustain

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Eco-industrial park (EIP) is a community of manufacturing and service businesses collaborating to manage environmental and resource (e.g. water, material and energy) issues together to preserve the environment while bringing financial benefit to the individual party. One way to achieve this goal is to integrate the EIP network via a centralised utility system (CUS), which facilitates the material and energy exchange among participating companies (or individual actors, IAs) in EIP. This work presents a hybrid model that combines superstructure-based optimisation approach and insight-based, automated targeting approach to synthesise a sustainable CUS for an EIP with the consideration of variations. The superstructure encompasses tri-generation system, wastewater treatment system and a steam distribution network that consider the use of mechanical drive steam turbine (MDST). Meanwhile, automated targeting approach is adapted to provide valuable insight and detailed allocation of resources within the network. In this work, the synthesis of CUS is analysed based on the economic performance and the total potential environmental impact of the system. Since such objectives are frequently contradictory in nature, fuzzy optimisation approach is adapted in this work to synthesise a sustainable CUS which fulfils the two important objectives. In addition, multi-period optimisation approach is applied to address the multiple operational periods with the presence of variations in supply of raw materials, market price of raw materials, demand for desired end products, etc. To illustrate the proposed framework, a palm oil processing complex (POPC) case study is solved.

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Automated targeting model for synthesis of heat exchanger network with utility systems

Cited by 27 publications

References 63 publications

Optimal synthesis of work and heat exchangers networks considering unclassified process streams at sub and above-ambient conditions

Optimal synthesis of work and heat exchangers networks considering unclassified process streams at sub and above-ambient conditions

Simultaneous Synthesis of Heat Exchanger Networks Considering Steam Supply and Various Steam Heater Locations

Hybrid Optimisation Model for the Synthesis of Centralised Utility System in Eco-Industrial Park

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