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12th IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM)

作者： Ghawash, Faiq Hovd, Morten Schofield, Brad Norwegian Univ Sci & Technol Trondheim Norway CERN Beams Dept Ind Controls & Safety Syst Grp Meyrin Switzerland

Energy efficient building climate control involves maintaining thermal comfort across a wide range of environmental conditions while minimizing energy usage. However, the design of energy efficient control poses a significant challenge owing to the strong coupling between temperature and humidity. In this work, we present a control oriented model for the heating, ventilation and air conditioning (HVAC) system and provide a polytopic approximation of thermal comfort in terms of temperature and humidity ratio. A novel energy optimal control formulation based on generalized disjunctive programming is proposed to systematically account for the strong coupling effects and latent heat consideration. An extensive simulation study is performed to validate the efficcacy of the proposed control strategy across a wide range of operational and weather conditions.

关键词： HVAC Control generalized disjunctive programming Hybrid MPC Energy Efficiency

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Scheduling optimization of refinery operations based on production continuity

Scheduling optimization of refinery operations based on prod...

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IEEE International Conference on Automation and Logistics

作者： Li, Ming Li, Qiqiang Guo, Qingqiang Ding, Ran Xin, Tian Shandong Univ Sch Control Sci & Engn Jinan 250061 Shandong Peoples R China Supervis & Inspect Inst Product Qual Jinan Peoples R China

ISBN: (纸本)9781424447947

Production continuity is an important process characteristic which receives significant attentions in actual refinery process. However, there hasn't been a sufficient and comprehensive expression of production continuity in literatures of refinery scheduling. The core of this paper is to deal with the scheduling optimization problem of refinery operations based on production continuity. The quantitative performance evaluation criterion of production continuity is given, and the scheduling problem is formulated as a generalized disjunctive programming (GDP) model relied on discrete time representation. The model describes production continuity during different scheduling periods using disjunctive normal form and logic proposition as well as proposed heuristics, and optimizes refinery operations by maximizing production profit and continuity performance. The formulation approach is used to address the scheduling of a refinery. Case study shows that the optimal schedule obtained from the proposed model is more feasible and practical, which illustrates the model's efficiency.

关键词： Scheduling optimization refinery operation production continuity generalized disjunctive programming

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GDP-based approach for optimal design of forest biorefinery supply chain considering circularity and conversion facilities co-location

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COMPUTERS & CHEMICAL ENGINEERING 2022年 163卷

作者： Piedra-Jimenez, Frank Tassin, Natalia G. Novas, Juan M. Rodriguez, Maria Analia Quim Aplicada IPQA Univ Nacl Cordoba Inst Invest & Desarrollo Ingeniena Proc CONICET RA-5000 Cordoba Argentina Estudios Matemat CIEM Univ Nacl Cordoba Ctr Invest CONICET RA-5000 Cordoba Argentina Desarrollo & Transferencia Sistemas Informac CIDS Fac Cordoba Ctr Invest RA-5000 Cordoba Argentina

The Forest Biorefinery Supply Chain (FBSC) design problem is addressed. A general mathematical framework based on a generalized disjunctive programming (GDP) formulation is proposed as an efficient decision-making tool for the optimal FBSC. The approach simultaneously tackles the dynamic capacity allocation and the facilities' co-location, features that are explicitly modelled. The FBSC superstructure promotes the circularity of the network by including flexible processing recipes and the use of multiple biomass residues as biorefineries raw materials as well as paper recycling. The proposed case study copes with the production of paper and biofuels in Argentina, showing the advantage of the integration of biorefineries with the existing forest industries as well as the addition of value to biomass industrial waste and by-products. Additionally, a set of scenarios are considered and tested. By these examples, key features of the proposed approach are highlighted as essential to reach a profitable FBSC. (c) 2022 Elsevier Ltd. All rights reserved.

关键词： Supply Chain Design Optimization Forest Biorefinery generalized disjunctive programming

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Optimization of the supply chain for the production of biomass-based fuels and high-added value products in Mexico

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COMPUTERS & CHEMICAL ENGINEERING 2021年 145卷 107181-107181页

作者： Mercedes Espinoza-Vazquez, Yulissa Israel Gomez-Castro, Fernando Maria Ponce-Ortega, Jose Univ Guanajuato Dept Ingn Quim Div Ciencias Nat & Exactas Campus GuanajuatoNoria Alta S-N Col Noria Alta Guanajuato 36050 Mexico Univ Michoacana de San Nicolas Hidalgo Fac Ingn Quim Div Estudios Posgrad Francisco J Mugica S-N Morelia 58060 Michoacan Mexico

In Mexico, high quantities of lignocellulosic residues are generated. Such residues can be used to produce either biofuels of other products. In this work, a mathematical model representing the supply chain for the conversion of the lignocellulosic biomass in Mexico into biofuels and high-added value products is presented. The model aims to maximize the profit while satisfying as much as possible of the gasoline demand in the country. Additionally, the effect of the variations on the availability of raw materials and the demand of products over the optimal supply chain is analyzed. According to the results, the highest profit can be obtained if the biomass is used to produce levulinic acid and furfural, satisfying all the demand. If it is desired to satisfy the demand of ethanol or butanol, the profit is reduced. Under the studied conditions, only a fraction of the alcohol demand can be covered. (C) 2020 Elsevier Ltd. All rights reserved.

关键词： Supply chain Lignocellulosic biomass generalized disjunctive programming Uncertainty analysis

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Pyosyn: A new framework for conceptual design modeling and optimization

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COMPUTERS & CHEMICAL ENGINEERING 2021年 153卷 107414-107414页

作者： Chen, Qi Liu, Yunshan Seastream, Grant Siirola, John D. Grossmann, Ignacio E. Carnegie Mellon Univ Ctr Adv Proc Decis Making Pittsburgh PA 15213 USA Sandia Natl Labs Albuquerque NM 87123 USA

We present Pyosyn, an open-source framework for systematic superstructure-based process synthesis, including a new representation, superstructure generation approaches, modeling, and solution strategies. The new Pyosyn Graph (PSG) representation consists of units, ports, and streams, and includes support for nested units, including new "single-choice" units and modular superstructure construction. We introduce superstructure generation strategies based on both library-assisted and direct-hierarchical means-ends analysis. For the library-assisted approach, we describe generalized port annotations that describe conditions for compatibility between connected unit ports. We extend literature methods to present seven screening rules based on new material port annotations that categorize process chemical species as primary , secondary , or residual . We then describe high-level mathematical modeling of PSG representation elements using *** and ***, including the automated handling of special cases. We also introduce the use of tailored logic-based decomposition algorithms to address "zero-flow" singularities characteristic of synthesis problems. Finally, we demonstrate the flexible use of Pyosyn tools on a set of diverse case studies. (c) 2021 Elsevier Ltd. All rights reserved.

关键词： Conceptual design Mathematical programming generalized disjunctive programming Process synthesis Open source

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Computer-aided design of optimal environmentally benign solvent-based adhesive products

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COMPUTERS & CHEMICAL ENGINEERING 2019年 130卷 106518-000页

作者： Jonuzaj, Suela Cui, Jingyue Adjiman, Claire S. Imperial Coll London Ctr Proc Syst Engn Dept Chem Engn London SW7 2AZ England

The manufacture of improved adhesive products that meet specified target properties has attracted increasing interest over the last decades. In this work, a general systematic methodology for the design of optimal adhesive products with low environmental impact is presented. The proposed approach integrates computer-aided design tools and Generalised disjunctive programming (GDP), a logic-based framework, to formulate and solve the product design problem. Key design decisions in product design (i.e., how many components should be included in the final product, which active ingredients and solvent compounds should be used and in what proportions) are optimised simultaneously. This methodology is applied to the design of solvent-based acrylic adhesives, which are commonly used in construction. First, optimal product formulations are determined with the aim to minimize toxicity. This reveals that number of components in the product formulation does not correlate with performance and that high performance can be achieved by investigating different number of components as well as by optimising all ingredients simultaneously rather than sequentially. The relation between two competing objectives (product toxicity and concentration of the active ingredient) is then explored by obtaining a set of Pareto optimal solutions. This leads to significant trade-offs and large areas of discontinuity driven by discrete changes in the list of optimal ingredients in the product. (C) 2019 Elsevier Ltd. All rights reserved.

关键词： Solvent-based adhesives Chemical product design Computer-aided methods generalized disjunctive programming Minimise toxicity

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Cost-optimal design of reverse electrodialysis process for salinity gradient-based electricity generation in desalination plants

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ENERGY 2024年 313卷

作者： Tristan, C. Fallanza, M. Ortiz, I. Ibanez, R. Grossmann, I. E. Univ Cantabria Dept Chem & Biomol Engn Ave Castros 46 Santander 39005 Spain Carnegie Mellon Univ Dept Chem Engn Pittsburgh PA 15213 USA

Salinity gradient-based technologies offer a solution for desalination plants seeking clean, uninterrupted electricity to support their decarbonization and circularity. This work provides cost-optimal designs of a large-scale reverse electrodialysis (RED) system deployed in a desalination plant using mathematical programming. The optimization model determines the hydraulic topology and RED units' working conditions that maximize the net present value (NPV) of the RED process recovering salinity gradient energy between brine and treated wastewater effluents. We examine how electricity, carbon and membranes prices, desalination plant capacity, and membrane resistance may affect the NPV-optimal design's competitiveness and performance. We also compare the conventional series-parallel configuration and the NPV-optimal solution with recycling and added reuse alternatives. In the context of soaring electricity prices and strong green financing support, with the use of highperforming, affordable membranes (similar to 10 (sic)/m(2)), RED could save 8 % of desalination plant energy demand from the grid, earning 5 M(sic) profits and LCOE of 66-126 (sic)/MWh, comparable to other renewable and conventional power technologies. The optimization model finds profitable designs for the entire range of medium-capacity desalination plants. The findings underscore the optimization model effectiveness in streamlining decision making and exploiting the synergies of full-scale, RED-based electricity in the energy-intensive water sector.

关键词： Renewable energy generalized disjunctive programming Reverse osmosis Wastewater treatment Water-energy nexus

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Continuous-time scheduling formulation for multipurpose batch plants

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AICHE JOURNAL 2020年第2期66卷 e16804-e16804页

作者： Mostafaei, Hossein Harjunkoski, Iiro Aalto Univ Sch Chem Engn Dept Chem & Met Engn Espoo Finland ABB Corp Res Germany Wallstadter Str 59 D-68526 Ladenburg Germany

Short-term scheduling of batch processes is a complex combinatorial problem with remarkable impact on the total revenue of chemical plants. It consists of the optimal allocation of limited resources to tasks over time in order to manufacture final products following given batch recipes. This article addresses the short-term scheduling of multipurpose batch plants, using a mixed integer linear programming formulation based on the state-task network representation. It employs both single-grid and multi-grid continuous-time representations, derived from generalized disjunctive programming. In comparison to other multigrid scheduling models in the literature, the proposed multi-grid model uses no big-M constraints and leads to more compact mathematical models with strong linear relaxations, which often results in shorter computational times. The single-grid counterpart of the formulation is not as favorable, as it leads to weaker linear relaxations than the multi-grid approach and is not capable of handling changeover time constraints.

关键词： batch plant generalized disjunctive programming MILP scheduling state-task network

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Energy Efficient Temperature and Humidity Control in Building Climate Systems

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IFAC-PapersOnLine 2024年第14期58卷 544-549页

作者： Faiq Ghawash Morten Hovd Brad Schofield Norwegian University of Science and Technology Trondheim Norway Beams Department Industrial Controls and Safety Systems Group CERN Meyrin Switzerland

Energy Efficient building climate control involves maintaining thermal comfort across a wide range of environmental conditions while minimizing energy usage. However, the design of energy Efficient control poses a significant challenge owing to the strong coupling between temperature and humidity. In this work, we present a control oriented model for the heating, ventilation and air conditioning (HVAC) system and provide a polytopic approximation of thermal comfort in terms of temperature and humidity ratio. A novel energy optimal control formulation based on generalized disjunctive programming is proposed to systematically account for the strong coupling effects and latent heat consideration. An extensive simulation study is performed to validate the efficcacy of the proposed control strategy across a wide range of operational and weather conditions.

关键词： HVAC Control generalized disjunctive programming Hybrid MPC Energy efficiency

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