Site wide heat integration in eco-industrial parks considering variable operating conditions

Kachacha, Christina; Farhat, Alaa; Zoughaib, Assaad; Tran, Cong-Toan

doi:10.1016/j.compchemeng.2019.04.013

Cited by 8 publications

(6 citation statements)

References 27 publications

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“…They also considered piping and pumping costs and their trade-off with the operating cost benefits of heat recovery. Kachacha et al [41] also considered the impact of plant location in the HEN problem by including piping and pumping costs. However, in order to keep the formulation linear, they made simplifying assumptions by using pre-calculated logarithmic mean temperature difference (LMTD) and pipe diameters.…”

Section: State Of the Artmentioning

confidence: 99%

“…However, most of the methods simplify the problem by considering the exchange only between two plants [38], identifying the excess heat manually [30] and optimising its valorisation instead of the overall system. Moreover, the integration of new utility systems was not a part of the optimisation [41], which might cause energy efficiency improvement opportunities to be missed. Another aspect overlooked in the literature is the type of the intermediate fluid which is used in inter-plant exchange.…”

Section: State Of the Artmentioning

confidence: 99%

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Incorporating Location Aspects in Process Integration Methodology

2019

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The large potential for waste resource and heat recovery in industry has been motivating research toward increasing efficiency. Process integration methods have proven to be effective tools in improving industrial sites while decreasing their resource and energy consumption; however, location aspects and their impact are generally overlooked. This paper presents a method based on process integration, which considers the location of plants. The impact of the locations is included within the mixed integer linear programming framework in the form of heat losses, temperature and pressure drop, and piping cost. The objective function is selected as minimisation of the total cost of the system excluding piping cost and -constraints are applied on the piping cost to systematically generate multiple solutions. The method is applied to a case study with industrial plants from different sectors. First, the interaction between two plants and their utility integration are illustrated, depending on the piping cost limit which results in the heat pump and boiler on one site being gradually replaced by excess heat recovered from the other plant. Then, the optimisation of the whole system is carried out, as a large-scale application. At low piping cost allowances, heat is shared through high pressure steam in above-ground pipes, while at higher piping cost limits the system switches toward lower pressure steam sharing in underground pipes. Compared to the business-as-usual operation of the sites, the optimal solution obtained with the proposed method leads to 20% reduction in the overall cost of the system, including the piping cost. Further reduction in the cost is possible using a state of the art method but the technical and economic feasibility is not guaranteed. Thus, the present work provides a tool to find optimal industrial symbiosis solutions under different investment limits on the infrastructure between plants.

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Section: State Of the Artmentioning

confidence: 99%

Section: State Of the Artmentioning

confidence: 99%

Incorporating Location Aspects in Process Integration Methodology

2019

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“…In 1993, Dhole and Linnhoff 3 proposed the concept of total-site heat integration, which could reduce the steam usage by integrating heat demand and distribution across multiplants through a centralized utility system. In 2019, Kachacha et al 6 employed a mathematical optimization approach based on a mixed-integer linear programming (MILP) model to achieve the objective of designing a heat transport network that can operate under all the encountered operational conditions for any suggested design. In the same year, Hong et al 7 developed a novel transshipment model using the process stream directly while optimizing the total annual cost (TAC) of the intraplant and interplant HEN.…”

Section: Introductionmentioning

confidence: 99%

Global Energy Integration for Industrial Parks Incorporating Centralized Trigeneration and Interplant HEN

Gu,

Ji,

Liu

et al. 2023

Ind. Eng. Chem. Res.

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To address the issue of multiple forms of energy (heat, cooling, and electricity) production, distribution, and recovery, this study proposes a global energy integration method for industrial parks. The proposed method involves the construction of a centralized trigeneration system within the park, including the components of a steam power generation system, solar energy, electric boilers, organic Rankine cycle, absorption refrigeration cycle, and electric compression refrigeration. Additionally, the comprehensive utilization of waste heat from the participating plants and interplant heat exchanger network are also taken into consideration. A mixed-integer nonlinear planning mathematical model is formulated. The proposed method is demonstrated through a case study that considers both single and multiobjective (economy-environment) scenarios. It is noticed that the quantity of consumed fuel has a considerable influence on both energy distribution and park costs. Specifically, the total annualized cost increases by 44 and 5% for fuel input to 0.5 and 1.5 times the optimal natural gas amount, respectively. Moreover, the introduction of solar energy not only affects the system’s emissions but also has a substantial impact on the energy distribution.

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“…Recent works on HEN synthesis using mathematical programming have improved the quality of solutions [5][6][7][8] and considered retrofits [9,10], multiple plants [11][12][13] and multiperiod operations [14,15]. Huang and Karimi [5] proposed a multistage, matchcentric superstructure and a stage-less, exchanger-centric superstructure for HEN synthesis; the corresponding mixed integer nonlinear programming (MINLP) models consider a wider range of network configurations and allow solutions with lower total annualized costs (TACs) to be obtained.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Heat Recovery Networks for Energy Savings in Industrial Processes

Lee

Chen

2023

Processes

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Among the pillars of decarbonization of the global energy system, energy efficiency plays a key role in reducing energy consumption across end-use (industry, transport and buildings) sectors. In industrial processes, energy efficiency can be improved by exploiting heat recovery via heat exchange between process streams. This paper develops a stage-wise superstructure-based mathematical programming model for the optimization of heat exchanger networks. The model incorporates rigorous formulation to handle process streams with phase change (condensation or evaporation), and is applied to a case study of an ethylene glycol production plant in Taiwan for minimizing utility consumption. The results show a compromise between steam savings and process feasibility, as well as how the model is modified to reflect practical considerations. In the preliminary analysis, with a substantial potential steam saving of 15,476 kW (28%), the solution involves forbidden matches that pose a hazard to the process and cannot be implemented. In the further analysis without process streams that cause forbidden matches, although the space limitation in the plant renders the best solution infeasible, the compromise solution can achieve a considerable steam saving of up to 8448 kW (91%) and is being evaluated by the plant managers and operators.

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Site wide heat integration in eco-industrial parks considering variable operating conditions

Cited by 8 publications

References 27 publications

Incorporating Location Aspects in Process Integration Methodology

Incorporating Location Aspects in Process Integration Methodology

Global Energy Integration for Industrial Parks Incorporating Centralized Trigeneration and Interplant HEN

Optimization of Heat Recovery Networks for Energy Savings in Industrial Processes

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