Special Issue "Design and Control of Sustainable Systems"

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Other Topics".

Deadline for manuscript submissions: 30 April 2019

Special Issue Editors

Guest Editor
Prof. Dr. Sujit S Jogwar

Chemical Engineering, IIT Bombay, India
Website | E-Mail
Interests: process design, advanced process control, energy integration
Guest Editor
Prof. Dr. Xiaonan Wang

Chemical and Biomolecular Engineering, National University of Singapore (NUS)
Website | E-Mail
Interests: energy systems design, control and optimization, advanced manufacturing

Special Issue Information

Dear Colleagues,

Sustainability has been one of the key drivers for technological innovation in this century. With the fundamental motivation of ensuring the fulfilment of current needs without compromising the needs of future generations, sustainability targets goals in economic (such as improved process and energy efficiency), environmental (such as the minimization of carbon and waste footprints), and social (such as process safety) perspectives. These goals have given rise to a large number of sustainable process and energy systems such as reactive distillation, microreactors, CO2 capture and sequestration, smart grids and microgrids, and smart manufacturing, and the quest for new designs continues at a rapid pace. At the same time, such systems pose unique operational challenges due to the presence of multiple length or time scales, multiple conflicting objectives, and the interconnection of multiple agents. These call for efficient control strategies to realize sustainable benefits. In this context, the integrated design and control of sustainable processes can allow one to balance the trade-off between process economics and operational flexibility.

This Special Issue on “Design and Control of Sustainable Systems” aims to incorporate recent developments in the area of the design and/or control of sustainable process and energy systems. Topics include, but are not limited to, the following:

  • Integrated or intensified processes;
  • Renewable chemical, materials, and energy production;
  • Process safety and/or risk management;
  • Smart grids, microgrids, and/or co-generation systems;
  • Carbon capture and sequestration, emission or effluent management;
  • Waste reduction and/or waste-to-energy/resources;
  • Smart manufacturing systems and technologies.
Prof. Dr. Sujit S Jogwar
Prof. Dr. Xiaonan Wang
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 papers will be 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. Processes is an international peer-reviewed open access monthly 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 1100 CHF (Swiss Francs). Please note that for papers submitted after 30 June 2019 an APC of 1200 CHF applies. 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

  • process integration
  • energy integration
  • process intensification
  • CO2 sequestration
  • smart grids
  • microgrids
  • safety
  • advanced control
  • integrated design and control
  • sustainability
  • renewable fuels
  • waste management

Published Papers (4 papers)

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Research

Open AccessFeature PaperArticle Scheduling of Energy-Integrated Batch Process Systems Using a Pattern-Based Framework
Processes 2019, 7(2), 103; https://doi.org/10.3390/pr7020103
Received: 18 January 2019 / Revised: 6 February 2019 / Accepted: 8 February 2019 / Published: 15 February 2019
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Abstract
In this paper, a novel pattern-based method is developed for the generation of optimal schedules for energy-integrated batch process systems. The proposed methodology is based on the analysis of available schedules for the identification of repetitive patterns. It is shown that optimal schedules [...] Read more.
In this paper, a novel pattern-based method is developed for the generation of optimal schedules for energy-integrated batch process systems. The proposed methodology is based on the analysis of available schedules for the identification of repetitive patterns. It is shown that optimal schedules of energy-integrated batch processes are composed of several repeating sections (or building blocks), and their sizes and relative positions are dependent on the scheduling horizon and constraints. Based on such a decomposition, the proposed pattern-based algorithm generates an optimal schedule by computing the number and sequence of these blocks. The framework is then integrated with rigorous optimization-based approach wherein it is shown that the learning from the pattern-based solution significantly improves the performance of rigorous optimization. The main advantage of the pattern-based method is the significant reduction in computational time required to solve large scheduling problems, thus enabling the possibility of on-line rescheduling. Three literature examples were considered to demonstrate the presence of repeating patterns in optimal schedules of energy-integrated batch systems. The effectiveness of the proposed methodology was illustrated using an integrated reactor-separator system. Full article
(This article belongs to the Special Issue Design and Control of Sustainable Systems)
Open AccessArticle Integration Multi-Model to Evaluate the Impact of Surface Water Quality on City Sustainability: A Case from Maanshan City in China
Processes 2019, 7(1), 25; https://doi.org/10.3390/pr7010025
Received: 23 November 2018 / Revised: 27 December 2018 / Accepted: 2 January 2019 / Published: 8 January 2019
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Abstract
Water pollution is a worldwide problem that needs to be solved urgently and has a significant impact on the efficiency of sustainable cities. The evaluation of water pollution is a Multiple Criteria Decision-Making (MCDM) problem and using a MCDM model can help control [...] Read more.
Water pollution is a worldwide problem that needs to be solved urgently and has a significant impact on the efficiency of sustainable cities. The evaluation of water pollution is a Multiple Criteria Decision-Making (MCDM) problem and using a MCDM model can help control water pollution and protect human health. However, different evaluation methods may obtain different results. How to effectively coordinate them to obtain a consensus result is the main aim of this work. The purpose of this article is to develop an ensemble learning evaluation method based on the concept of water quality to help policy-makers better evaluate surface water quality. A valid application is conducted to illustrate the use of the model for the surface water quality evaluation problem, thus demonstrating the effectiveness and feasibility of the proposed model. Full article
(This article belongs to the Special Issue Design and Control of Sustainable Systems)
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Open AccessArticle Dynamic Performance Assessment of Primary Frequency Modulation for a Power Control System Based on MATLAB
Processes 2019, 7(1), 11; https://doi.org/10.3390/pr7010011
Received: 4 December 2018 / Revised: 19 December 2018 / Accepted: 24 December 2018 / Published: 30 December 2018
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Abstract
The primary frequency modulation (PFM) performance of a power control system (PCS) is an important factor affecting the security and stability of a power grid. The traditional control method is proportional integral (PI) control. In order to improve its dynamic control performance, a [...] Read more.
The primary frequency modulation (PFM) performance of a power control system (PCS) is an important factor affecting the security and stability of a power grid. The traditional control method is proportional integral (PI) control. In order to improve its dynamic control performance, a control method based on the combination of internal model control (IMC) and PI is proposed. Using the method of theoretical assessment and system identification, a simple simulated model of the typical PCS is established. According to the principle of system identification and the least square estimation (LSE) algorithm, the mathematical models of a generator and a built-in model are established. According to the four dynamic performance indexes, the main and auxiliary assessment index of the PCS are defined, and the benchmark and the result of the performance assessment are given. According to three different structures, the PFM dynamic performance of the PCS is analyzed separately. According to the dynamic performance assessment index of PFM, the structure of the control system and the influence of different parameters on the performance of the PCS are analyzed under ideal conditions. The appropriate control structure and controller parameters are determined. Secondly, under the non-ideal condition, the influence of the actual valve flow coefficient on the performance of the control system is studied under two different valve control modes. The simulation results show that the internal model combined with PI has better dynamic control performance and stronger robustness than the traditional PI control, and it also has better application prospects for thermal power plants. Full article
(This article belongs to the Special Issue Design and Control of Sustainable Systems)
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Open AccessArticle Performance Assessment of a Boiler Combustion Process Control System Based on a Data-Driven Approach
Processes 2018, 6(10), 200; https://doi.org/10.3390/pr6100200
Received: 12 September 2018 / Revised: 29 September 2018 / Accepted: 16 October 2018 / Published: 19 October 2018
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Abstract
For the requirements of performance assessment of the thermal power plant control process, the combustion control system of a 330 MW generator unit in a power plant is studied. Firstly, the five variables that affect the process control performance are determined by the [...] Read more.
For the requirements of performance assessment of the thermal power plant control process, the combustion control system of a 330 MW generator unit in a power plant is studied. Firstly, the five variables that affect the process control performance are determined by the mechanism analysis method. Then, a data-driven performance assessment method based on the operational data collection from the supervisory information system was proposed. Using principal component analysis technique, we found that five different variables have different degrees of effect on the performance of the combustion process. By means of qualitative and quantitative analysis, five contribution rates of different variables affecting the performance index of the system were obtained. After that, the data is normalized to the non-dimensional variable, the performance assessment index of the boiler combustion process is defined, and the classification and assessment criterion of it are given. Through using the proposed method on the operation data of the 1# boiler and 2# boiler within 1 day, the performance indexes are calculated and achieved during different time periods. Analysis of the results shows that this method will not generate additional disturbance to the normal operation of the system, and it can achieve a simple, reliable, accurate and rapid qualitative and quantitative analysis of the performance of the boiler combustion control system, and also it can be extended and applied to other multivariable control systems. Full article
(This article belongs to the Special Issue Design and Control of Sustainable Systems)
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