System dynamics approaches to energy policy modelling and simulation

Mutingi, Michael; Mbohwa, Charles; Kommula, Venkata P.

doi:10.1016/j.egypro.2017.11.071

Cited by 48 publications

(25 citation statements)

References 10 publications

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“…The executor can make reasonable choices from the large amount of data and information obtained and then transform these information resources into continuous decisions ( Liu et al, 2019a ). An effective strategy has also been designed to examine several variables and their interconnections with real problems ( Mutingi et al, 2017 ).…”

Section: Methodsmentioning

confidence: 99%

Using system dynamics to assess the complexity of rural toilet retrofitting: Case study in eastern China

Cheng

et al. 2021

Journal of Environmental Management

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Rural toilet retrofitting (RTR) is a complex, dynamic system that is affected by many factors and the positive/negative feedback relationships between subsystems and variables. Traditional technologies and management methods face challenges in fundamentally describing and solving problems in RTR. To bridge this gap, this study utilizes system dynamics and causal loop diagrams to explain such problems based on data collected from the stakeholders of the RTR in Jiaozhou from 2018 to 2019. Specifically, this study examines the RTR system from the perspectives of household users, wastewater treatment plants, local governments, grassroots promoters, operation and maintenance personnel, toilet supplier and construction teams, and fecal sludge end users. The factors and processes involved in RTR are identified, and the feedback and relationships among its major stakeholders are established. Results show that the motivation of farmers to engage in RTR is a key variable that affects their final decisions regarding retrofitting and maintaining toilet functions. Meanwhile, the important variables related to the feedback and relationships among the major stakeholders of RTR are mostly focused on policies, subsidies, technology, satisfaction, and cooperation. A scientific analysis method and the updated RTR plan for toilet revolution are then formulated to promote the implementation of RTR in developing countries.

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Section: Methodsmentioning

confidence: 99%

Using system dynamics to assess the complexity of rural toilet retrofitting: Case study in eastern China

Cheng

et al. 2021

Journal of Environmental Management

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“…System dynamics is consolidated as a useful tool for the design of policies from the 1980s to the present, becoming useful and recognized for both corporate management [21] and public [22]. The practice of systems dynamics opens up the possibility of modelling reality with a different logic to, for example, econometrics, and instead of proposing modelling as the detection of the influence of a set of variables on an output one, understands rather the behaviour of several variables among themselves, as part of a complex system.…”

Section: The Systemic Management-approachmentioning

confidence: 99%

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2019

ORAJ

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Public investment effectiveness in Peru remains low for decades, even with investment growth and technical quality improvement. Management approach is often considered as fixed and is not subject to study or change. This analysis goes deep in understanding how is the current public investment management approach, and compares it with deterministic and systemic approaches, concluding with a precise characterization and generating an improvement agenda in order to suggest changes that increase effectiveness and therefore contribute to a better quality of life of the population in Peru.

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“…Time-delay effect is widely encountered in many dynamical systems including biological systems [1][2][3], social and economic systems [4,5], neural networks [6,7], chemical reactions [8,9], and mechanical systems [10][11], due to the essential dependency of present states on past states. Compared to the dynamical systems without time-delay effect, systems involving inherent time delays can exhibit more rich and complicated dynamics, including the instability of equilibrium, multiple stability switches induced by time-delay [12,13], high co-dimension bifurcations [14][15][16], coexistence of attractors [17,18], and chaotic motions [19,20].…”

Section: Introductionmentioning

confidence: 99%

Two-Parameter Dynamics of An Autonomous Mechanical Governor System With Time Delay

Deng

Wen

et al. 2021

Preprint

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Understanding of dynamical behavior in the parameter-state space plays a vital role in the optimal design and motion control of mechanical governor systems. By combining the GPU parallel computing technique with two determinate indicators, namely, the Lyapunov exponents and Poincaré section, this paper presents a detailed study on the two-parameter dynamics of a mechanical governor system with different time delays. By identifying different system responses in two-parameter plane, it is shown that the complexity of evolutionary process can increase significantly with the increase of time delay. The path-following strategy and the time domain collocation method are used to explore the details of the evolutionary process. An interesting phenomenon is found in the dynamical behavior of the delayed governor system, which can cause the inconsistency between the number of intersection points of certain periodic response on Poincaré section and the actual period characteristic. For example, the commonly exhibited period-1 orbit may have two or more intersection points on the Poincaré section instead of one point. Furthermore, the variations of basins of attraction are also discussed in the plane of initial history conditions to demonstrate the observed multistability phenomena and chaotic transitions.

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System dynamics approaches to energy policy modelling and simulation

Cited by 48 publications

References 10 publications

Using system dynamics to assess the complexity of rural toilet retrofitting: Case study in eastern China

Using system dynamics to assess the complexity of rural toilet retrofitting: Case study in eastern China

Untitled

Two-Parameter Dynamics of An Autonomous Mechanical Governor System With Time Delay

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