Bohong Wang
57212146506
Publications - 12
Equation-oriented thermodynamic optimisation of heat pump integration in industrial heat recovery systems: A system-level pathway to cost and emission reduction
Publication Name: Energy
Publication Date: 2025-10-30
Volume: 335
Issue: Unknown
Page Range: Unknown
Description:
Integrating heat pumps into large-scale electricity-to-heat industrial processes has proven highly successful in enhancing the utilisation of renewable energy and contributing to carbon emission reductions. However, most studies focus on overall system performance, overlooking the detailed thermal behaviour of the heat pump itself. This limits the adaptability of heat pumps in dynamic industrial settings. This work proposes an equation-oriented framework that enables flexible integration of thermodynamically detailed heat pump models into industrial heat recovery systems. A superstructure-based optimisation model is developed to minimise energy costs and enhance efficiency, considering process constraints, network layout, and heat pump performance. The model dynamically optimises heat pump operation and placement to enhance waste heat recovery and overall system integration. Moreover, the approach supports the integration of low-grade utilities to further improve the energy efficiency. The proposed framework is validated through an industrial-scale case study of a crude oil distillation process. Life cycle assessment is conducted to quantify potential environmental and economic benefits. Results show that integrating heat pumps into the system recovered 50.52 % of low-pressure steam, reducing the total operating cost and annual cost by 12.88 % and 12.42 %. Additionally, total net carbon emissions decreased by 28.70 %. Lower electricity prices increase heat pump use and economic benefits but also amplify rebound effects. Furthermore, although high-temperature heat pumps operating above 150 °C tend to increase capital expenditures, they unlock greater energy efficiency, thereby accelerating the industrial decarbonisation process.
Open Access: Yes
Short-period supply reliability evaluation of a gas pipeline network based on transient operation optimization and support vector regression
Publication Name: Energy
Publication Date: 2025-09-15
Volume: 331
Issue: Unknown
Page Range: Unknown
Description:
The gas pipeline network is a critical infrastructure connecting downstream customers and upstream sources, and the gas supply condition of the gas network directly impacts people's lives. In this paper, a novel methodology is proposed to evaluate the short-period supply reliability of a gas pipeline system based on transient operation optimization and support vector regression. Firstly, supply and demand uncertainty characteristics are analyzed, and representative scenarios are selected through the improved Latin Hypercube Sampling method. Secondly, the transient peak-shaving characteristics are studied, and the physical transient peak-shaving operation optimization model is established to evaluate the satisfaction rate of gas customers and the system under representative scenarios. Then the Support Vector Regression model based on the improved Particle Swarm Optimization is established to predict the satisfaction rate of the customer or system under each random scenario, and the probabilities under different satisfaction degrees of the customer and system are given to reflect the supply reliability of a gas network. The proposed integrated methodology is verified by a specific gas pipeline system, and the results show that the maximum and the mean absolute error of the predicted satisfaction rate of the system's demand quantity can be reduced to 0.0070 and 0.0009, and the time consumed for the evaluation process can be reduced by 95 % compared to the traditional pure physical model. The proposed methodology can lay a solid foundation for the grasp of the short-period supply reliability of gas networks.
Open Access: Yes
Investigation of the synthesis and thermal insulation properties of K2Ti6O13 whisker-reinforced SiO2 micro powder composite coating fabrics
Publication Name: Energy
Publication Date: 2025-08-01
Volume: 328
Issue: Unknown
Page Range: Unknown
Description:
Developing functional textiles with thermal insulation and hydrophobic properties is of significant interest. This study successfully synthesizes K2 Ti6 O13 (potassium titanate, KTO) whiskers via the hydrothermal method and prepares KTO composite silica polyester fabric (KSP) through impregnation technology, exhibiting excellent thermal insulation and hydrophobic qualities. X-ray diffraction (XRD) analysis verifies the high purity and excellent crystallinity of KTO whiskers and SiO2 micro-powder. Scanning electron microscopy (SEM) images reveal that the KTO whiskers retain their original morphology and exhibit uniform size distribution, with an average length of around 1 μm and an aspect ratio of 40. Transmission electron microscopy (TEM) images further validate the planar growth properties of the whiskers. Raman spectroscopy research elucidates the vibrational modes of various chemical bonds in the KTO whiskers. The ultraviolet–visible–near-infrared spectrophotometer test results demonstrate that the KSP fabric reflects 43.5 % more light than standard polyester fabric and substantially lowers the temperature in the covered chamber under simulated sunlight exposure, achieving a maximum reduction of 7.4 °C. The KSP fabric has exceptional hydrophobic properties, completing a contact angle of 153.2° and maintaining reflectance stability, with a mere 5.92 % reduction after 20 days of outside exposure. This work offers substantial reference value for the advancement of practical textiles.
Open Access: Yes
Deep learning-based identification of pipeline weld defects using automated ultrasonic testing
Publication Name: Nondestructive Testing and Evaluation
Publication Date: 2025-01-01
Volume: Unknown
Issue: Unknown
Page Range: Unknown
Description:
For the safety evaluation of pipe welds, this paper proposes an automated ultrasonic testing method focused on defect signal feature extraction and identification. First, defect features are extracted based on the ultrasonic scattering coefficient distribution. The defect scattering coefficient matrix is then compressed using principal component analysis (PCA) to obtain the feature vector that best represents the defect. A Depthwise Separable Residual Network (DS-ResNet) model is constructed to identify pipe weld defects automatically. The sparrow search algorithm (SSA) is integrated with DS-ResNet (SSA-DS-ResNet) to optimise the model and enhance its performance. This method is applied to a case study, yielding a prediction accuracy of 97.51%, which is acceptable for industrial applications. The performance of SSA-DS-ResNet was compared with two networks prior to optimisation (ResNet and DS-ResNet), and the results indicate that SSA-DS-ResNet achieves higher accuracy.
Open Access: Yes
Optimisation of island integrated energy system based on marine renewable energy
Publication Name: Fundamental Research
Publication Date: 2025-09-01
Volume: 5
Issue: 5
Page Range: 2161-2179
Description:
Integrating marine renewable energy (MRE) with conventional energy sources and logically constructing island energy systems is crucial for alleviating island energy supply challenges and helping coastal energy systems achieve a sustainable, low-carbon transition. In this study, the status of marine energy utilisation technologies is reviewed, with a focus on advancements in energy conversion equipment, grid integration, and energy storage. The economic feasibility and environmental sustainability of marine energy systems are comparatively analysed to enhance the development and utilisation of marine energy technology while reducing the economic cost of power generation. Suitable equipment is highlighted for islands, with efficient energy generation strategies proposed to achieve cleaner, localised, and cost-effective island integrated energy system (IIES) design. Island energy facilities vary, and integrated development is crucial for building new energy systems. Based on the types and resources of island energy, IIESs are constructed for hierarchical energy utilisation and multi-energy coupling, coordinating resources to achieve source–grid–load–storage integration. The optimisation of IIESs is reviewed, with a focus on modelling methods, intelligent algorithm development, and system simulation. This study differs from previous research as it considers the integration of marine energy into existing systems to achieve comprehensive integration of multiple energy sources. Additionally, optimisation and solution methods for IIES models are summarised. To integrate complex, multivariable energy systems and create stable and predictable outputs, marine energy and load forecasting methods are explored. Overall, this study supports the advancement of marine energy utilisation, focusing on its progressive integration into island energy systems as the efficiency of marine energy improves. This work aims to inspire the development of new functions and modules based on existing system optimisation and forecasting techniques.
Open Access: Yes
Corrigendum to ‘Graphical pinch analysis-based method for heat exchanger networks retrofit of a residuum hydrogenation process’ [Energy volume 299 (2024) 131538] (Energy (2024) 299, (S0360544224013112), (10.1016/j.energy.2024.131538))
Publication Name: Energy
Publication Date: 2024-11-30
Volume: 310
Issue: Unknown
Page Range: Unknown
Description:
The contribution of Pawel Oclon has been funded by the EU project “Renewable energy system for residential building heating and electricity production–RESHeat”, Grant Agreement #956255. The work of Petar Varbanov has been funded by the Széchenyi István University in Hungary. The authors would like to apologise for any inconvenience caused.
Open Access: Yes
Strategic integration of residential electricity: An optimisation model for solar energy utilisation and carbon reduction
Publication Name: Energy
Publication Date: 2024-11-30
Volume: 310
Issue: Unknown
Page Range: Unknown
Description:
The Solar Combined Cooling, Heating, and Power (S-CCHP) system, distinct from traditional centralised generation, provides clean energy solutions by installing user-side renewable energy capture facilities like solar panels to address the energy crisis and mitigate global warming. Previous research on the design of S-CCHP for buildings has often emphasised self-sufficiency, with less focus on the role of these systems as energy suppliers on the market. However, it is feasible to install scaled-up solar facilities that generate enough power to export to the grid, reducing grid pressure and enhancing the renewable energy mix. This study analyses the optimal design deployment for electricity within the S-CCHP system, based on the Renewable Energy System for Residential Building Heating and Electricity Production (RESHeat) system installed in Limanowa. It aims to optimise owner energy deployment by strategically integrating electricity generation, hybrid storage, and the electricity market to maximise owner benefits. A Life Cycle Assessment is also conducted to explore greenhouse gas emissions across scenarios with different storage facilities and reuse rates. Results show that the optimal deployment of 264 PV panels, each with a rated power of 440 W, generates 105 MWh annually, resulting in the surplus of 90.18 MWh with a selling price of 115 EUR/MWh. Vanadium redox flow batteries offer the highest revenue (4922.01 EUR) with the lowest storage costs, while lithium-ion batteries have the lowest carbon emissions (1.22 t CO2 eq/y). Sensitivity analysis and revenue break-even analysis are further conducted to assess the robustness and financial viability.
Open Access: Yes
Operational optimisation of integrated solar combined cooling, heating, and power systems in buildings considering demand response and carbon trading
Publication Name: Energy Conversion and Management
Publication Date: 2024-09-01
Volume: 315
Issue: Unknown
Page Range: Unknown
Description:
The Solar Combined Cooling, Heat, and Power (S-CCHP) system offers a promising solution to the energy crisis and environmental concerns. Its operation optimisation is essential due to intermittent solar irradiation. However, previous studies have concentrated on the “electricity-heating” subsystem and economic costs, with less emphasis on the integrated system's broader benefits and environmental impact. This study introduces an operational optimisation approach across “electricity-heating-cooling-gas” subsystems based on the design extension of the Residential Building Heating and Electricity Production (RESHeat) system. Specifically, the approach optimises operation from both the demand and supply sides, incorporating the demand response (DR) and Ladder Carbon Trading (LCT) on the demonstration in Limanowa, Poland, to balance economic and environmental impacts. The results show that the optimised electricity is reduced by 0.71 % per day while heating and cooling demands rise by 0.57% and 0.91%. PV/T panels provide 87.11% of electricity, with excess sold back to the grid in summer. DR combined with LCT in the extension design contributed to cutting costs by 16.15 % and CO2 by 57.79% compared with the initial design, underscoring the efficacy of collaborative operational in enhancing both economic and environmental performance.
Open Access: Yes
Graphical pinch analysis-based method for heat exchanger networks retrofit of a residuum hydrogenation process
Publication Name: Energy
Publication Date: 2024-07-15
Volume: 299
Issue: Unknown
Page Range: Unknown
Description:
Sustainable energy systems are crucial for reducing carbon emissions because renewable energy sources leave a footprint. The petrochemical industry often suffers from inefficient heat exchange network (HEN) systems, leading to substantial energy wastage. In the current work, a real case study of the residue hydrogenation process was analyzed to identify potential energy savings. A new method combining Pinch Analysis and Thot –Tcold diagram analysis methods was proposed. This graphical analysis method plots the cold-flow temperature of each heat exchanger unit on the x-axis and the hot-flow temperature on the y-axis. By applying the Thot –Tcold diagram to a practical case of residue hydrogenation in Zhejiang, the existing process energy state was evaluated, and HEN was retrofitted to achieve energy savings and carbon emission reduction. Following optimization, the energy recovery amounted to 202.71 GJ/h with an energy recovery rate of 14.3 %. The proposed method saves approximately 4.058 × 105 GJ/y compared to current operations, resulting in an annual cost saving of approximately $ 2.76 M/y, with an investment payback period of less than 0.36 y. This study offers a solution to the energy challenges of industrial residue hydrogenation by enhancing the economic and environmental sustainability of existing process flows.
Open Access: Yes
Dynamic simulation of particle deposition on the blade leading edge with film cooling in gas turbines
Publication Name: Thermal Science and Engineering Progress
Publication Date: 2024-06-01
Volume: 51
Issue: Unknown
Page Range: Unknown
Description:
Particle deposition on the leading edge was investigated in gas turbines numerically. The research investigated the effects of the inclination angle and blowing ratio on the deposition thickness, and cooling effectiveness of the leading edge. Particles were released from the main inlet of the computational domain. The deposition on the leading edge was judged using the double deposition model. The results show that the deposition thickness is inversely proportional to the blowing ratio. The deposition thicknesses for 0°, 20°, 40°, and 60° inclination angles decrease by 7.82 %, 6.84 %, 7.44 %, and 5.34 %, with the increase in the blowing ratio from 0.5 to 2.0 at 30 s. The deposition thicknesses with four inclination angles decrease by 6.79 %, 7.24 %, 6.79 %, and 5.34 % by increasing the blowing ratio from 0.5 to 2.0 at 60 s. A region with a deposition thickness coefficient below 0.3 is located on the side of the leading edge. The area of the region increases with the increases of the inclination angle and blowing ratio. Compared with the deposition thickness of 0°, 20°, and 40° inclination angles, the deposition thickness of 60° inclination angle is the least with the blowing ratios of 0.5,1.0 and 1.5. The difference in deposition thickness at 60° and 20° inclination angles is 0.3 % with the blowing ratio 2.0. The inclination angle has little effect on the deposition thickness under the blowing ratio of 2.0. The cooling effectiveness decreases with the increases in the blowing ratio and inclination angle. The deposition thickness at a 60° inclination angle is lower than that at a 40° inclination angle. The best combination of inclination angle and the blowing ratio is 60° and 2.0 compared with others.
Open Access: Yes
The Integration of Building Information Modelling and Life Cycle Assessment: Progress, Challenges, Future Directions
Publication Name: Chemical Engineering Transactions
Publication Date: 2024-01-01
Volume: 114
Issue: Unknown
Page Range: 409-414
Description:
Building Information Modelling (BIM) plays a key role in the digitisation of the building sector, facilitating the design and construction of buildings. Environmental impacts have become an important factor to consider in building design and construction, often analysed through Life Cycle Assessment (LCA). The integration of BIM and LCA is crucial for supporting sustainable building design and construction. However, there is a lack of up-to-date reviews that consider the role of artificial intelligence (AI) in the integration of BIM and LCA. This paper addresses this gap by examining the recent progress, challenges, and future directions in building carbon emission accounting for buildings. The integration of the BIM-LCA for environmental impact accounting is explored, including goal and scope definition, life cycle inventory, impact assessment, interpretation, interoperability, and integration AI. The results identify gaps in BIM-LCA integration, including transparency issues and reliance on non-local databases. Future directions emphasise enhancing data quality, refining models, and developing AI methods for carbon emission predictions to explore decarbonisation strategy in the building sector. The review contributes to early-stage analysis, facilitating informed decision-making in sustainable building design and construction.
Open Access: Yes
DOI: 10.3303/CET24114069
Multi-period natural gas pipeline scheduling optimisation integrated with LNG cold energy cascade utilisation
Publication Name: Sustainable Energy Technologies and Assessments
Publication Date: 2025-11-01
Volume: 83
Issue: Unknown
Page Range: Unknown
Description:
Liquefied Natural Gas (LNG), as a vital form of natural gas resources, has exhibited a steadily increasing trend in global production and trade volumes. LNG terminals are facing the challenge of how to recover and utilise cold energy in a safe and efficient regasification process, while coordinating with the natural gas pipeline network transport scheduling. This study proposes an integrated regulation and collaborative optimisation approach for natural gas pipeline networks and LNG cold energy cascade utilisation systems. For natural gas pipeline network systems, P-Graph develops multi-period gas-electric interconnected supply chain network to optimise resource allocation. For the LNG cold energy cascade utilisation system, a dual Organic Rankine Cycle (ORC) framework for both power generation and refrigeration is developed, as well as thermodynamic analysis and heat integration techniques are applied to optimise system efficiency. Using a coastal LNG terminal in Zhejiang, China, as a case study, when the LNG regasification flow rate is 62.46 t/h, cold energy generates electricity of 2,335.94 kW and air-conditioning cooling load of 1,651.5 kW, system efficiency reaches 44.75 %. The peak regulation and gas storage effect of LNG is significant, which helps to alleviate that energy shortage in the region, and the coupled system of LNG and natural gas pipeline network improves energy utilisation efficiency and economic benefits for LNG industry chain.
Open Access: Yes
