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Energies
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Advanced Research on Heat Exchangers Networks and Heat Recovery
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Advanced Research on Heat Exchangers Networks and Heat Recovery

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "J: Thermal Management".

Deadline for manuscript submissions: 12 February 2025 | Viewed by 4533

Special Issue Editors

Dr. Stanislav Boldyryev

E-Mail Website
Guest Editor
Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Zagreb, Croatia
Interests: heat exchanger networks; heat transfers; energy saving; heat recovery; process integration
Special Issues, Collections and Topics in MDPI journals
Dr. Bohong Wang

E-Mail Website
Guest Editor
National-Local Joint Engineering Laboratory of Harbour Oil & Gas Storage and Transportation Technology, Zhejiang Ocean University, Zhoushan 316022, China
Interests: process integration; oil and gas; energy systems analysis; supply chain management; pipeline engineering
Special Issues, Collections and Topics in MDPI journals
Dr. Timothy Gordon Walmsley

E-Mail Website
Guest Editor
School of Engineering Academic, The University of Waikato, Hamilton, New Zealand
Interests: energy; process integration; heat pumps; digital twins; heat and mass transfer
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Energy is the one of the most important resources for modern society. The use of energy defines the paradigm of economic development around the globe, and energy efficiency is the one of the key issues for both economic efficiency and environmental impact. Heat exchanger networks in different industries can recover the process heat energy, avoiding additional fuel consumption in furnaces and electricity consumption for cooling cycles. Heat exchanger network synthesis, retrofit, and optimization are long-term developing goals that face new challenges today. Industrial energy transition to renewable energies and the low carbon agenda lead to the formulation of new objectives for heat exchanger networks and heat recovery. Both theoretical aspects and technoeconomic criteria affect future industrial energy systems, where heat recovery plays a key role. This Special Issue is aimed at new advancements and developments in heat exchanger networks, including but not limited to network synthesis and optimization, thermodynamic and thermal design, operation and maintenance, networks for industry electrification, digital twins of heat recovery systems, hydrogen-containing recovery systems, and the integration of renewable energies to heat recovery networks.

Dr. Stanislav Boldyryev
Dr. Bohong Wang
Dr. Timothy Gordon Walmsley
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • heat exchanger networks
  • design and retrofit of recovery systems
  • network modeling and optimization
  • energy saving
  • operation, maintenance, prediction

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Published Papers (4 papers)

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Research

20 pages, 3435 KiB  
Article
Optimal Dispatching Strategy for Textile-Based Virtual Power Plants Participating in GridLoad Interactions Driven by Energy Price
by Tingyi Chai, Chang Liu, Yichuan Xu, Mengru Ding, Muyao Li, Hanyu Yang and Xun Dou
Energies 2024, 17(20), 5142; https://doi.org/10.3390/en17205142 - 16 Oct 2024
Viewed by 526
Abstract
The electricity consumption of the textile industry accounts for 2.12% of the total electricity consumption in society, making it one of the high-energy-consuming industries in China. The textile industry requires the use of a large amount of industrial steam at various temperatures during [...] Read more.
The electricity consumption of the textile industry accounts for 2.12% of the total electricity consumption in society, making it one of the high-energy-consuming industries in China. The textile industry requires the use of a large amount of industrial steam at various temperatures during production processes, making its dispatch and operation more complex compared to conventional electricity–heat integrated energy systems. As an important demand-side management platform connecting the grid with distributed resources, a virtual power plant can aggregate textile industry users through an operator, regulating their energy consumption behavior and enhancing demand-side management efficiency. To effectively address the challenges in load regulation for textile industry users, this paper proposes a coordinated optimization dispatching method for electricity–steam virtual-based power plants focused on textile industrial parks. On one hand, targeting the impact of different energy prices on the energy usage behavior of textile industry users, an optimization dispatching model is established where the upper level consists of virtual power plant operators setting energy prices, and the lower level involves multiple textile industry users adjusting their purchase and sale strategies and changing their own energy usage behaviors accordingly. On the other hand, taking into account the energy consumption characteristics of steam, it is possible to optimize the production and storage behaviors of textile industry users during off-peak electricity periods in the power market. Through this electricity–steam optimization dispatching model, the virtual power plant operator’s revenue is maximized while the operating costs for textile industry users are minimized. Case study analyses demonstrate that this strategy can effectively enhance the overall economic benefits of the virtual power plant. Full article
(This article belongs to the Special Issue Advanced Research on Heat Exchangers Networks and Heat Recovery)
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18 pages, 4334 KiB  
Article
Advancing Industrial Process Electrification and Heat Pump Integration with New Exergy Pinch Analysis Targeting Techniques
by Timothy Gordon Walmsley, Benjamin James Lincoln, Roger Padullés and Donald John Cleland
Energies 2024, 17(12), 2838; https://doi.org/10.3390/en17122838 - 8 Jun 2024
Cited by 1 | Viewed by 1113
Abstract
The process integration and electrification concept has significant potential to support the industrial transition to low- and net-zero-carbon process heating. This increasingly essential concept requires an expanded set of process analysis tools to fully comprehend the interplay of heat recovery and process electrification [...] Read more.
The process integration and electrification concept has significant potential to support the industrial transition to low- and net-zero-carbon process heating. This increasingly essential concept requires an expanded set of process analysis tools to fully comprehend the interplay of heat recovery and process electrification (e.g., heat pumping). In this paper, new Exergy Pinch Analysis tools and methods are proposed that can set lower bound work targets by acutely balancing process heat recovery and heat pumping. As part of the analysis, net energy and exergy load curves enable visualization of energy and exergy surpluses and deficits. As extensions to the grand composite curve in conventional Pinch Analysis, these curves enable examination of different pocket-cutting strategies, revealing their distinct impacts on heat, exergy, and work targets. Demonstrated via case studies on a spray dryer and an evaporator, the exergy analysis targets net shaft-work correctly. In the evaporator case study, the analysis points to the heat recovery pockets playing an essential role in reducing the work target by 25.7%. The findings offer substantial potential for improved industrial energy management, providing a robust framework for engineers to enhance industrial process and energy sustainability. Full article
(This article belongs to the Special Issue Advanced Research on Heat Exchangers Networks and Heat Recovery)
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35 pages, 979 KiB  
Article
Simultaneous Optimization of Work and Heat Exchange Networks
by Nidret Ibrić, Chao Fu and Truls Gundersen
Energies 2024, 17(7), 1753; https://doi.org/10.3390/en17071753 - 6 Apr 2024
Cited by 1 | Viewed by 855
Abstract
This paper introduces a simultaneous optimization approach to synthesizing work and heat exchange networks (WHENs). The proposed work and heat integration (WHI) superstructure enables different thermodynamic paths of pressure and temperature-changing streams. The superstructure is connected to a heat exchanger network (HEN) superstructure, [...] Read more.
This paper introduces a simultaneous optimization approach to synthesizing work and heat exchange networks (WHENs). The proposed work and heat integration (WHI) superstructure enables different thermodynamic paths of pressure and temperature-changing streams. The superstructure is connected to a heat exchanger network (HEN) superstructure, enabling the heat integration of hot and cold streams identified within the WHI superstructure. A two-step solution strategy is proposed, consisting of initialization and design steps. In the first step, a thermodynamic path model based on the WHI superstructure is combined with a model for simultaneous optimization and heat integration. This nonlinear programming (NLP) model aims to minimize operating expenditures and provide an initial solution for the second optimization step. In addition, hot and cold streams are identified, enabling additional model reduction. In the second step of the proposed solution approach, a thermodynamic path model is combined with the modified HEN model to minimize the network’s total annualized cost (TAC). The proposed mixed integer nonlinear programming (MINLP) model is validated by several examples, exploring the impact of the equipment costing and annualization factor on the optimal network design. The results from these case studies clearly indicate that the new synthesis approach proposed in this paper produces solutions that are consistently similar to or better than the designs presented in the literature using other methodologies. Full article
(This article belongs to the Special Issue Advanced Research on Heat Exchangers Networks and Heat Recovery)
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33 pages, 11680 KiB  
Article
Improving the Economic Efficiency of Heat Pump Integration into Distillation Columns of Process Plants Applying Different Pressures of Evaporators and Condensers
by Stanislav Boldyryev, Mariia Ilchenko and Goran Krajačić
Energies 2024, 17(4), 951; https://doi.org/10.3390/en17040951 - 18 Feb 2024
Cited by 1 | Viewed by 1292
Abstract
The electrification of process industries is one of the main challenges when building a low-carbon society since they consume huge amounts of fossil fuels, generating different emissions. Heat pumps are some of the key players in the industrial sector of the carbon-neutral market. [...] Read more.
The electrification of process industries is one of the main challenges when building a low-carbon society since they consume huge amounts of fossil fuels, generating different emissions. Heat pumps are some of the key players in the industrial sector of the carbon-neutral market. This study proposes an approach to improve the economic feasibility of heat pumps within process plants. Initial energy targeting with grand composite curves was used and supplemented with the detailed design of an evaporator and a compressor for different condensation and evaporation pressures. The trade-off between the capital cost of the heat pump and the electricity cost was investigated, and optimal configurations were selected. This case study investigates the gas fractioning unit of a polymer plant, where three heat pumps are integrated into distillation columns. The results demonstrate that the heat recovery is 174 MW and requires an additional 37.9 MW of electricity to reduce the hot utility by 212 MW. The selection of the evaporation and condensation pressures of heat pumps allows 21.5 M EUR/y to be saved for 7 years of plant operation. The emission-saving potential is estimated at 1.89 ktCO2/y. Full article
(This article belongs to the Special Issue Advanced Research on Heat Exchangers Networks and Heat Recovery)
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