Article
Engineering, Industrial
Linhan Ouyang, Chanseok Park, Yan Ma, Yizhong Ma, Min Wang
Summary: This paper introduces a Bayesian hierarchical modelling approach and SUR model for process optimisation, aiming to improve efficiency through model selection and estimation. Additionally, a two-stage optimisation strategy considering practitioners' preference information is proposed to find the best settings and compare them with an ideal solution method.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Green & Sustainable Science & Technology
Yee Van Fan, Peng Jiang, Alexandra Elena Plesu Popescu, Fengqi You
Summary: This editorial introduces a collection of articles on sustainable cleaner production, focusing on process integration, optimization, sustainability analysis, and waste recovery modeling. It highlights the importance of addressing new challenges and opportunities in sustainable cleaner production amidst global crises in the data and intelligent era.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Green & Sustainable Science & Technology
Simbarashe R. Magege, Thokozani Majozi
Summary: The simultaneous design, scheduling, and Heat Integration optimization of multipurpose batch plants resulted in higher annual net profit and up to a 15% reduction in utility costs compared to sequential optimization steps.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Computer Science, Artificial Intelligence
Malik Braik, Hussein Al-Zoubi, Heba Al-Hiary
Summary: This research focuses on updating the weights of artificial neural networks using bio-inspired algorithms such as PSO, GOA, and GWO, for identifying specific architectures in nonlinear prediction systems. The developed models were compared with traditional and state-of-the-art models, showing the efficacy of the proposed approaches in modeling.
Article
Engineering, Marine
Stijn van Dooren, Pol Duhr, Christopher H. Onder
Summary: This paper focuses on optimising ship speed to reduce fuel consumption and carbon dioxide emissions using convex functions. It discusses two methods to solve the problem and highlights the implications for future research.
Article
Chemistry, Physical
Mohammad Reza Abbasi, Federico Galvanin, Andrew John Blacker, Eva Sorensen, Yiping Shi, Philip W. Dyer, Asterios Gavriilidis
Summary: Translating catalysts developed in academia to industrial end-users is challenging due to limited understanding of the impact of catalyst attributes on the entire process. A systematic methodology is proposed to assess these catalyst attributes in terms of Key Performance Indicators (KPIs). The study focuses on the dehydration of butanol to butenes and dibutyl ether using H-ZSM5 and H-Beta catalysts, demonstrating the importance of designing catalysts for complete conversion and high butene selectivity.
CATALYSIS COMMUNICATIONS
(2022)
Article
Green & Sustainable Science & Technology
Xue-Chao Wang, Aoife Foley, Yee Van Fan, Sandro Nizetic, Jiri Jaromir Klemes
Summary: This article introduces a virtual special issue containing papers related to renewable and sustainable energy research presented at a conference. The papers cover a wide range of topics including energy storage technology, battery optimization, and energy recovery. Additionally, there are studies on cooling strategies for photovoltaic panels, gasification combined cycle power generation systems, and heat pump optimization.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Pharmacology & Pharmacy
Raghu V. G. Peddapatla, Conor Slevin, Gerard Sheridan, Caoimhe Beirne, Shrikant Swaminathan, Ivan Browning, Clare O'Reilly, Zelalem A. Worku, David Egan, Stephen Sheehan, Abina M. Crean
Summary: The aim of this study was to develop statistical process models to predict tablet properties from compaction parameters, and compare and predict between different deformation characteristics and tablet press models.
Article
Mathematics
Pedro Simao, Miguel Vieira, Telmo Pinto, Tania Pinto-Varela
Summary: This paper introduces a method for incorporating renewable energy into industrial production, optimizing energy utilization through integrated design and scheduling. The results show that using solar energy as thermal energy storage can minimize energy consumption and increase operational profit.
Article
Engineering, Manufacturing
Daniel Tang, Mike Evans, Paul Briskham, Luca Susmel, Neil Sims
Summary: Self-pierce riveting is a complex joining process that creates a mechanical interlock between multiple layers of material. Finding the optimal process parameters is challenging, but a new system-level model has been proposed to predict system dynamics and joint quality accurately, reducing costs in SPR system design and validation.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE
(2021)
Article
Chemistry, Physical
Hannah O. Kargbo, Jie Zhang, Anh N. Phan
Summary: A robust model using BANN was developed to optimize the operating conditions of a two-stage gasification process. The model accurately predicted gas composition and showed good prediction reliability for various feedstock. The optimal operating conditions for high hydrogen production, gas yield, and low CO2 were determined and validated in the laboratory.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Review
Engineering, Manufacturing
Vuong Nguyen-Van, Shuai Li, Junli Liu, Kien Nguyen, Phuong Tran
Summary: 3D concrete printing offers affordable construction solutions by minimizing costs, improving productivity, aligning with sustainability requirements, and tailoring products to complex design needs. Various techniques, materials, and design tools have been developed to meet mechanical and structural properties, as well as durability requirements. The use of parametric design and numerical simulation enables further construction optimization and realization of complex designs.
ADDITIVE MANUFACTURING
(2023)
Article
Computer Science, Artificial Intelligence
Inigo Flores Ituarte, Suraj Panicker, Hari P. N. Nagarajan, Eric Coatanea, David W. Rosen
Summary: An intelligent manufacturing paradigm requires better connections between material systems, manufacturing systems, and design engineering. This research proposes a computer-aided expert system to explore the linkages between process-structure-property-performance in digital manufacturing and optimize the design to improve system performance, paving the way for the next generation of computer systems with highly integrated material, digital design, and manufacturing workflows.
JOURNAL OF INTELLIGENT MANUFACTURING
(2023)
Article
Thermodynamics
Jia Chun Ang, Dominic C. Y. Foo
Summary: This article introduces an extended mathematical optimization technique ATM, which is used for the techno-economic evaluation of gas turbines, steam turbines, and combined cycle CHP systems. The effectiveness of this technique is demonstrated through case studies, showing its ability to determine the optimum mode of operation under different demand conditions.
APPLIED THERMAL ENGINEERING
(2022)
Article
Green & Sustainable Science & Technology
Yurong Liu, Minglei Yang, Yuxing Ding, Meihong Wang, Feng Qian
Summary: This study optimizes a low-grade heat recovery model for petrochemical plants by integrating the organic Rankine cycle (ORC) with heat exchanger network (HEN). The steady-state model is developed, and the ORC operation conditions are optimized. The thermodynamics and economic analysis show improved system performance with increased heat recovery, higher exergy efficiency, and reduced annual cost.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Thermodynamics
Krzysztof Barnas, Tomasz Jelenski, Marzena Nowak-Oclon, Kinga Racon-Leja, Elzbieta Radziszewska-Zielina, Bartlomiej Szewczyk, Grzegorz Sladowski, Cezary Tos, Petar Sabev Varbanov
Summary: This paper proposes a comprehensive adaptation approach for prefabricated panel-block buildings, targeting Eastern Bloc countries' technologies. The approach utilizes Geographic Information Systems, urban and social analysis, and Multi-Criteria Decision-Making methods for thermal retrofitting and addressing accessibility and public space deficiencies. The proposed model includes an energy audit and measures to reduce energy consumption, potentially saving users up to 80% of their current energy consumption and related emissions.
Article
Mechanics
Lei Chen, Yifan Wang, Jiri Jaromir Klemes, Jin Wang, Wenquan Tao
Summary: This study investigates the collision between a single coarse particle and a wall in a viscous media using a Hertz-Mindlin no-slip contact model. The results show that the impact velocity and viscosity of the media have significant effects on the contact processes and contact force. This research is important for optimizing flow conveying systems, reducing attrition, and improving economic development.
EUROPEAN JOURNAL OF MECHANICS B-FLUIDS
(2023)
Review
Engineering, Chemical
Andras Jozsef Toth, Daniel Fozer, Peter Mizsey, Petar Sabev Varbanov, Jiff Jarornir Klemes
Summary: In the chemical industry, the treatment of process wastewaters is a common problem. The high content of organochemical compounds often makes biological treatment methods unsuitable. However, physicochemical methods can effectively treat process wastewaters and also allow the recovery of pollutants. This study examines the treatment strategy for pharmaceutical process wastewater and highlights the efficiency of hybrid methods in achieving the main goal of maximum recovery and reuse of pollutants.
REVIEWS IN CHEMICAL ENGINEERING
(2023)
Article
Thermodynamics
Andrii Polyvianchuk, Roman Semenenko, Petro Kapustenko, Jiri Jaromir Klemes, Olga Arsenyeva
Summary: The work proposes a novel methodology for the transition to 4th generation district heating systems (DHS) with limited investment. The methodology involves step-by-step implementation of required innovations to optimize investment schedule and payback time. Two case studies illustrated the methodology, showing a significant reduction in energy consumption and lower investments compared to traditional simultaneous implementation. The introduction of new generation DHS in Ukraine can be achieved through gradual additions and integration of new elements to the existing system.
Article
Thermodynamics
Jian Du, Jianqin Zheng, Yongtu Liang, Bohong Wang, Jiri Jaromir Klemes, Xinyi Lu, Renfu Tu, Qi Liao, Ning Xu, Yuheng Xia
Summary: Accurate prediction of natural gas consumption is crucial for long-distance pipeline system production and transportation planning, especially in the current political situation. Existing prediction methods lack consideration of spatial correlations and domain knowledge. This study proposes a novel deep learning prediction method (KE-GB-TSN) that integrates domain knowledge into association graph construction and captures temporal-spatial features, leading to more accurate and efficient predicted results compared to advanced models.
Article
Thermodynamics
Hon Huin Chin, Petar Sabev Varbanov, Jiri Jaromir Klemes, Zdravko Kravanja
Summary: Circular Economy is a well-known concept to tackle global resource depletion problems, and its sustainability and environmental performance are closely related to energy consumption. This work presents an assessment tool called Energy Quality Pinch Analysis, which determines the minimum energy requirements for a circular system and demonstrates its sustainability. The analysis considers cascades of energy used and released in recycling and symbiosis processes, evaluating the minimal external energy flows. Case studies on heat and power integration, chemical energy reuse in wastewater systems, and municipal solid waste management have shown the potential for high energy recovery rates, providing valuable guidance for system designers.
Article
Thermodynamics
Kok Sin Woon, Zhen Xin Phuang, Jan Taler, Petar Sabev Varbanov, Cheng Tung Chong, Jirf Jaromfr Klemes, Chew Tin Lee
Summary: Climate change is a major long-term threat to humanity. Transforming urban energy from carbon-intensive to carbon-free solutions is crucial for achieving carbon neutrality. This review discusses recent advances in green energy development in urban sectors, including industry, buildings, transportation, and waste treatment. It highlights the need for developing novel energy materials, improving energy storage capacity, reducing vulnerability of renewable sources, optimizing modeling, and enhancing engineering design. The challenges and recommendations for green energy development in environmental, economic, and societal aspects are summarized, along with the importance of minimizing energy consumption in waste treatment. Innovations in technology, institutional regulations, incentives, and behavioral changes are necessary for achieving carbon neutrality in urban environments.
Article
Thermodynamics
Yifan Xu, Mengmeng Ji, Jiri Jaromir Klemes, Hengcong Tao, Baikang Zhu, Petar Sabev Varbanov, Meng Yuan, Bohong Wang
Summary: This paper investigates the economic viability of transforming renewable energy into exportable electricity or hydrogen. A comprehensive renewable energy system model is developed based on the P-graph to simulate an energy system that integrates electricity, heat, and hydrogen on a virtual island. Findings from the case study show that exporting extra renewable energy by electricity is cheaper than using hydrogen for the studied island, and the optimal dispatch structure can deliver 51 GWh of electricity annually for 292 M CNY (about 42 M EUR). A sensitivity analysis of export prices and renewable energy uncertainty verifies the economics of electricity export.
Article
Thermodynamics
Dariusz Jakubek, Pawel Oclon, Marzena Nowak-Oclon, Maciej Sulowicz, Petar Sabev Varbanov, Jirf Jaromfr Klemes
Summary: This paper analyzes the heat losses from pre-insulated pipes and twin pipes in the heating system network. By comparing the measurements on a dedicated experimental setup with analytical calculations, the results show good agreement. The economic analysis indicates that a return on investment is expected after 5 years when comparing twin-pipe systems and single-pipe pre-insulated heating networks.
Article
Green & Sustainable Science & Technology
Kathleen B. Aviso, Jonna C. Baquillas, Anthony S. F. Chiu, Peng Jiang, Yee Van Fan, Petar Sabev Varbanov, Jirf Jaromfr Klemes, Raymond R. Tan
Summary: Plastic pollution is a serious sustainability issue that affects both terrestrial and aquatic ecosystems, as well as air quality. The COVID-19 pandemic has further worsened the problem. Socio-economic barriers hinder the large-scale commercial use of plastic recycling technologies, with mixed plastic streams often being contaminated due to imperfect waste segregation. This study introduces the concept of Plastics Recycling Networks and develops linear programming and mixed-integer linear programming models to match waste plastic sources with recycling plants. The models consider the tolerance of recycling plants towards contaminants, and two case studies demonstrate their effectiveness. Policy implications for mitigating plastic pollution are also discussed.
CLEANER ENGINEERING AND TECHNOLOGY
(2023)
Article
Green & Sustainable Science & Technology
Yiming Li, Dapeng Sun, Tianyang Xia, Petar Sabev Varbanov, Xingan Liu, Tianlai Li
Summary: Chinese solar greenhouse (CSG) is essential for sustainable agriculture as it allows year-round vegetable cultivation without energy consumption or carbon emissions. However, frost damage during winter production is common in high latitudes and cold regions. To improve the thermal insulation of unheated CSG, a novel internal insulation method was proposed.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Green & Sustainable Science & Technology
Dan Zheng, Yifan Xue, Jin Wang, Petar Sabev Varbanov, Jiri Jaromir Klemes, Chungen Yin
Summary: Green hydrogen production through photocatalytic water splitting has significant potential for sustainable energy production. This review focuses on high-performance photocatalysts, which play a crucial role in enhancing the efficiency of photocatalytic hydrogen production. It provides an overview of the principles and factors affecting photocatalytic performance, and comprehensively reviews conventional semiconductor photocatalysts and their catalytic activity enhancement methods. Additionally, it discusses representative nano-photocatalysts and optimization strategies. The review also summarizes the performance, challenges, and future research directions of photocatalysts of different dimensions, serving as a valuable guide for the application of high-performance photocatalysts in green hydrogen production and offering insight into the latest advancements in photochemical conversion efficiency.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Green & Sustainable Science & Technology
Farid Amirkhani, Amir Dashti, Mojtaba Jokar, Amir H. Mohammadi, Abdoulmohammad Gholamzadeh Chofreh, Petar Sabev Varbanov, John L. Zhou
Summary: This study investigates the accuracy of the most up-to-date computational approaches in CO2 capture and gas purification. The GA-RBF model shows the highest accuracy among the developed methods.
JOURNAL OF CLEANER PRODUCTION
(2023)
Review
Energy & Fuels
Olga Arsenyeva, Leonid Tovazhnyanskyy, Petro Kapustenko, Jiri Jaromir Klemes, Petar Sabev Varbanov
Summary: A plate heat exchanger (PHE) is a modern and efficient heat transfer equipment, capable of enhancing heat recuperation and energy efficiency. This paper reviews the construction and exploration developments of PHEs, as well as the methods of heat transfer intensification. The use of inclined corrugations on the surface of PHE plates is a common method to improve performance.
Proceedings Paper
Green & Sustainable Science & Technology
Olga Arsenyeva, Jiri Jaromir Klemes, Petar Sabev Varbanov, Petro Kapustenko
Summary: The reduction of fossil fuels consumption is crucial today. The application of modern technologies for heating residential apartments and hot water supply poses challenges. Reliable regulation of temperatures inside apartments requires quick-respond and accurate control techniques for the equipment used. This study proposes a parametric model predictive control technique for water flowrate control of the butterfly type valve used in temperature and flowrate regulation of individual heat substations in centralized heating systems. The model improves non-linear characteristics, resulting in better flow control quality.
SMART TECHNOLOGIES IN URBAN ENGINEERING, STUE-2022
(2023)
Article
Engineering, Chemical
Andrea Coletto, Pietro Poesio
Summary: Experiments and simulations were conducted to study the air volume fraction and hold-up in a bubble channel reactor. A new signal processing method was proposed to avoid the loss of bubble residence time. The results were in agreement with previous studies and a bubble-scale model was developed to explain the relationship between hold-up and air superficial velocity.
CHEMICAL ENGINEERING RESEARCH & DESIGN
(2024)
