Hybrid Modeling | ScienceGate

This paper explores the possibility and plausibility of developing a hybrid simulation method combining agent-based (AB) and system dynamics (SD) modeling to address the case study of produced water management (PWM). In southeastern New Mexico, the oil and gas industry generates large volumes of produced water, while at the same time, freshwater resources are scarce. Single-method models are unable to capture the dynamic impacts of PWM on the water budget at both the local and regional levels, hence the need for a more complex hybrid approach. We used the literature, information characterizing produced water in New Mexico, and our preliminary interviews with subject matter experts to develop this framework. We then conducted a systematic literature review to summarize state-of-the-art of hybrid modeling methodologies and techniques. Our research revealed that there is a small but growing volume of hybrid modeling research that could provide some foundational support for modelers interested in hybrid modeling approaches for complex natural resource management issues. We categorized these efforts into four classes based on their approaches to hybrid modeling. It appears that, among these classes, PWM requires the most sophisticated approach, indicating that PWM modelers will need to face serious challenges and break new ground in this realm.

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Atomic-Device Hybrid Modeling of Relaxation Effect in Analog RRAM for Neuromorphic Computing

2020 IEEE International Electron Devices Meeting (IEDM) ◽

10.1109/iedm13553.2020.9372114 ◽

2020 ◽

Author(s):

Feng Xu ◽

Bin Gao ◽

Yue Xi ◽

Jianshi Tang ◽

Huaqiang Wu ◽

...

Keyword(s):

Relaxation Effect ◽

Hybrid Modeling ◽

Neuromorphic Computing

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Applying a Hybrid Modeling Approach to Evaluate Potential Pesticide Effects and Mitigation Effectiveness for an Endangered Fish in Simulated Oxbow Habitats

Environmental Toxicology and Chemistry ◽

10.1002/etc.5144 ◽

2021 ◽

Author(s):

Amelie Schmolke ◽

Steven M. Bartell ◽

Colleen Roy ◽

Dean Desmarteau ◽

Angela Moore ◽

...

Keyword(s):

Hybrid Modeling ◽

Endangered Fish ◽

Modeling Approach

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Operation Optimization Approaches of Thermal Power Units with Big Data-Driven Hybrid Modeling

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.631-632.362 ◽

2014 ◽

Vol 631-632 ◽

pp. 362-366

Author(s):

Ning Ling Wang ◽

Yong Zhang ◽

Long Fei Zhu ◽

Zhi Ping Yang

Keyword(s):

Energy Consumption ◽

Thermal Power ◽

Hybrid Modeling ◽

Data Driven ◽

Fuzzy Rough Set ◽

Operation Optimization ◽

Operation Conditions ◽

Energy Consumption Model ◽

Practical Guidelines ◽

Data Driven Modeling

An accurate and reliable energy-consumption model is the key to operation optimization and energy-saving diagnosis of thermal power units especially under different operation conditions and boundaries. Conventional mathematical and data-driven modeling methods were overviewed and compared in this paper. A hybrid modeling based on thermodynamic theory and fuzzy rough set (FRS) method was proposed to process the great volume of operation data and describe the energy-consumption behavior of thermal power units. On this basis, the operation optimization was performed with intelligent computation methods to derive the realizable benchmark state with the whole set of operation parameters. The resultant optimum operation state reflects the exterior factors and system behavior, taking practical guidelines for the modeling and optimization of large thermal power units.

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