Time--frequency feature representation using energy concentration: An overview of recent advances

Life cycle Assessment and its Application to Process Selection, Design and Optimisation

https://aiche.onlinelibrary.wiley.com/doi/pdf/10.1002/aic.16489

The promise of artificial intelligence in chemical engineering: Is it here, finally?

The application of life cycle assessment to process optimisation

development.In this review we investigate innovations in chemistry exemplarily for such a development with regard to their ecological, economical, and social dimensions from an integrated and interdisciplinary perspective. Since base chemicals are produced in large quantities and important product lines are synthesized from them, their resource-saving production is especially important for a sustainable development. This concept has been shown, amongst others, by the example of the syntheses of propylene oxide and adipic acid. In the long run, renewable resources that are catalytically processed could replace fossil raw materials. Separation methods existing today must be improved considerably to lower material and energy consumption. Chemistry might become the pioneer of an innovative energy technique.The design of chemical products should make possible a sustainable processing and recycling and should prevent their bio-accumulation. Methods and criteria to assess their contribution to a sustainable development are necessary. The time taken to introduce the new more sustainable processes and products has to be diminished by linking their development with operational innovation management and with efficient environmental-political control procedures.

/pdf/10-years-after-rio-concepts-on-the-contribution-of-chemistry-x7qsep2mnz.pdf

10 Years after Rio—Concepts on the Contribution of Chemistry to a Sustainable Development

Intelligent systems in process engineering : A review

http://lppd.bioe.uic.edu/publications/preview/1994-99/1995_G+A.pdf

Generation and assessment of batch processes with ecological considerations

Publisher Summary This chapter shows how one can use ideas and techniques from artificial intelligence, such as symbolic modeling, knowledge-based systems, and logic, to construct a computer-implemented model of the design process. By using the Douglas hierarchical approach as the conceptual model of the design process itself, the chapter shows how to generate models of the structure of design tasks, design decisions, and the state of design, thus leading to automation of large segments of the synthesis of chemical processing schemes. The result is a human-aided, machine-based design paradigm, with the computer “knowing” how the design is done, what the scope of design is, and how to provide explanations and the rationale for the design decisions and the resulting final design. The chapter argues that the human-aided, machine-based design is the paradigm that will characterize future design systems, where rapid conceptualization and prototyping of engineering artifacts are the source of competitive edge. The chapter further provides a formalized restatement of the hierarchical procedure, in an effort to cast it more closely to a computational process for its computer-based automation. The structure of a conceptual model that can be used to represent a design methodology has been discussed but the value of this model rests with the effectiveness of the representation schemes that one employs to describe the declarative and procedural components of the model in a way that the computer can “understand.” It has been emphasized that hierarchical design language is a formal framework for the development of the computational process that emulates the Douglas methodology for conceptual process design and its specific characteristics have been discussed.

Automation in Design: The Conceptual Synthesis of Chemical Processing Schemes

Integration of information flows throughout the extensive network of humans and computational resources is the “key” to the next generation of practices in process operations planning, monitoring and control. Such practices will require, (a) change in the goals and structure of management and (b) new paradigms in the design of the requisite computer-aided environments. In this paper we discuss both of these issues. We present a structured approach to the conception and deployment of a computeraided environment that supports the hierarchy of engineering tasks, such as (i) planning, scheduling, and controlling process operations, and (ii) monitoring, analysis, diagnosis, and evaluation of operational experience. In addition, we argue that the real benefits from the deployment of an integrated information processing system, as the above, depend on a fundamental change in management philosophy. The Plan-DoCheck-Act (PDCA) paradigm emulates the corrective benefits of feedback control and leads to far more streamlined and efficient operations.

Integrating Information, Management and Control in Process Industries

Publisher Summary This chapter describes two modeling languages: Language for Chemical Reasoning (LCR) and MODELing LAnguage (MODELLA) Both are based on the same principles and have a common structure The chapter describes the components of a modeling language, called LCR that was developed to represent the knowledge about chemically reacting systems First, the basic modeling elements that constitute the building blocks for the representation of the declarative knowledge about molecules, reactions, and pathways have been described Second, the semantic relationships among the basic modeling elements have been discussed These semantic relationships establish the “meaning” behind the linguistic expressions, defining knowledge about molecules and reactions Third, the syntax used by the language for the description of chemically reacting systems has been presented The nine basic modeling elements of LCR are generic enough to allow (1) infinite extensibility of LCR's vocabulary through a finite set of rules, and (2) representation and analysis of any potential reaction pathway The chapter also examines the mechanisms that LCR possesses to achieve these objectives MODELLA is a high-level, special-purpose language that was developed to support the modeling activities of a broad range of process engineering tasks; process design, simulation, operations planning, diagnosis, configuration of control systems, and others MODELLA is quite distinct in both scope and capabilities from other modeling languages such as Advanced System for Computations in ENgineering Design (ASCEND), MODeling Assistant (MODASS), and Object-oriented Modeling Language (OMOLA) MODELLA shares many common features with LCR Both languages share a common set of semantic relationships and a common syntax They differ in their modeling elements that reflect the different vocabularies of chemistry and process engineering The modeling elements of each language are organized into subsets, which depict the structural and behavioral knowledge of the corresponding domains The chapter provides an overview of MODELLA's structure and discusses the utilization of MODELLA within the scope of engineering problems

Chonghun Han

Papers

Intelligent systems in process engineering : A review

Generation and assessment of batch processes with ecological considerations

Automation in Design: The Conceptual Synthesis of Chemical Processing Schemes

Integrating Information, Management and Control in Process Industries

Modeling Languages: Declarative and Imperative Descriptions of Chemical Reactions and Processing Systems