4E Analyses of a Hybrid Waste-Driven CHP–ORC Plant with Flue Gas Condensation

Nami, Hossein; Anvari‐Moghaddam, Amjad; Arabkoohsar, Ahmad; Razmi, Amir Reza

doi:10.3390/su12229449

Cited by 25 publications

(3 citation statements)

References 31 publications

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“…The reformer determines the amount of hydrogen production and provides raw materials and fuel for the refining process, as shown in Figure 1, while flue gas exhausted from the hydrogen production reformer (HPR) with temperatures of 150~250 • C is exhausted, which is 17~22% of the total heat of fuel consumption. Exhausted waste heat recovery is beneficial to saving energy [7,8], efficiency improvement [9,10], water conservation [11,12], pollution reduction, and carbon reduction [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

On-Site Experimental Study on Low-Temperature Deep Waste Heat Recovery of Actual Flue Gas from the Reformer of Hydrogen Production

Wang

Sun

et al. 2023

Sustainability

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Improving the energy-saving efficiency of flue gas deep waste heat and reducing the emission of carbon dioxide and other pollutants have been two issues that need to be paid attention to in petrochemical heating furnaces. A hydrogen production reformer with high energy consumption and high carbon emissions in the petroleum refining process affects the thermal and productive efficiency of the hydrogen production, amounts of heat from flue gas are wasted with the exhausted corrosive gas of the reformer, and latent heat is not recovered. To recover the sensible and latent heat from the exhausted gas, a new anti-corrosion, high-efficiency, and low-pressure-drop flue gas condensing heat exchanger (FGCHE) with low consumption and pressure drop was developed. The energy-saving performance was evaluated through on-site measurements and theoretical analysis. The results show that the exhausted gas temperature was reduced from 161.3~175.9 °C to 33.9~38.9 °C after using the new FGCHE to recover waste heat. The energy-saving efficiency and the utilization ratio of flue gas waste heat were 12~16.1% and 74~81.9%, respectively. The latent heat accounted for 41.3~48.1% of the total recovered heat. The exergy efficiency and the total thermal efficiency of the reformer reached 73~86.8% and 95.2~96.6%, respectively. The condensation in the flue gas reduced pollutant emissions (SO2 and NOx). This paper provides a practical application reference for the technology development of waste heat recovery and the application of an FGCHE for petrochemical heating furnaces.

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Section: Introductionmentioning

confidence: 99%

On-Site Experimental Study on Low-Temperature Deep Waste Heat Recovery of Actual Flue Gas from the Reformer of Hydrogen Production

Wang

Sun

et al. 2023

Sustainability

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“…The environment is a vital resource that needs to be protected and conserved [1][2][3][4]. To offset the negative impact of anthropogenic activities associated with the extraction and burning of fossil fuels, alternative energy sources need to be exploited [5][6][7][8][9][10]. Solar energy is one of the cleanest and cheapest sources of energy [11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Machine learning prediction approach for dynamic performance modeling of an enhanced solar still desalination system

Sohani

Hoseinzadeh

Samiezadeh

et al. 2021

J Therm Anal Calorim

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An enhanced design for a solar still desalination system which has been proposed in the previously conducted study of the research team is considered here, and the experimental data obtained during a year are employed to develop ANN models for that. Different types of artificial neural network (ANN), as one of the most popular machine learning approaches, are developed and compared together to find the best of them to predict the hourly produced distillate and water temperature in the basin, which are two key performance criteria of the system. Feedforward (FF), backpropagation (BP), and radial basis function (RBF) types of ANN are examined. According to the results, by having the coefficients of determination of 0.963111 and 0.977057, FF and RBF types are the best ANN structures for estimation of the hourly water production and water temperature in the basin, respectively. In addition, the annual error analysis done for the data not used to develop ANN models demonstrates that the average error in prediction of the hourly distillate production and water temperature in the basin varies from 9.03 and 5.13% in January (the highest values) to 4.06 and 2.07% in July (the lowest values), respectively. Moreover, the error for prediction of the daily water production is in the range of 2.41 to 5.84% in the year.

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“…There are several systems that consume fuel and convert it into heat, electricity, and some other biproducts 12‐15 . These systems are being used in a variety of capacities and a wide range of applications, 16‐20 from the residential sector to power plants, cars, air crafts, fuel cells, and so on 21‐23 …”

Section: Introductionmentioning

confidence: 99%

Energy and environmental enhancement of power generation units by means of zero‐flow coolant strategy

et al. 2021

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Summary Warm‐up period is considered as the most critical phase in the operation of any device that converts the energy of a fuel into heat, electricity, and other products, including power generation units since the system efficiency and environmental pollution levels are much worse than the normal operation in that phase. Considering this point, in this study, applying the zero‐flow coolant strategy to reduce the warm‐up period is suggested for power generation units and it is investigated in details. An internal combustion engine is selected as the case‐study and implementation of the method to enhance the performance of that from both energy and environmental aspects are studied comprehensively. As the results show, for the investigated engine, which has a capacity of 1.8 L, implementation of the method leads to 17% decrease in the warm‐up period. It is accompanied by 9.32% and 2.23% improvement in the amount of unburned hydrocarbon emission and fuel consumption. Moreover, based on the conducted discussion, despite other available methods to enhance systems that consume fuel, the method is so practical that it could be employed simply in an energy system without imposing a huge cost, which is taken into account as a significant advantage.

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4E Analyses of a Hybrid Waste-Driven CHP–ORC Plant with Flue Gas Condensation

Cited by 25 publications

References 31 publications

On-Site Experimental Study on Low-Temperature Deep Waste Heat Recovery of Actual Flue Gas from the Reformer of Hydrogen Production

On-Site Experimental Study on Low-Temperature Deep Waste Heat Recovery of Actual Flue Gas from the Reformer of Hydrogen Production

Machine learning prediction approach for dynamic performance modeling of an enhanced solar still desalination system

Energy and environmental enhancement of power generation units by means of zero‐flow coolant strategy

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