Application of system dynamics approach in electricity sector modelling: A review

Ahmad, Salman; Tahar, Razman Mat; Muhammad‐Sukki, Firdaus; Munir, Ahmad; Rahim, Ruzairi Abdul

doi:10.1016/j.rser.2015.11.034

Cited by 114 publications

(59 citation statements)

References 58 publications

(122 reference statements)

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“…Ahmad, et al [8] show the complexity in decision making using system dynamics (SD) modelling and simulation technique. To reduce the emissions, Jo, et al [9] use combination of system dynamics (SD) and agentbased modelling (ABM) to analysis for public investment projects through an integrated simulation model.…”

Section: Related Workmentioning

confidence: 99%

Transportation Mode Selection using System Dynamics Approach

Setiafindari¹,

Anggara²,

Masril³

2017

IJSEIA

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Section: Related Workmentioning

confidence: 99%

Transportation Mode Selection using System Dynamics Approach

Setiafindari¹,

Anggara²,

Masril³

2017

IJSEIA

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“…Diagramming tools, such as causal loop diagrams (CLDs) and stock-flow diagrams (SFDs), are used to capture the structure of a complex system [30]. CLDs are able to map the feedback structures of a complex system; they can show how the system is dynamically influenced by the interactions of all of the variables.…”

Section: System Dynamics (Sd)mentioning

confidence: 99%

“…By decoupling the rates of flows, stocks are the source of disequilibrium dynamics. Flows are the functions of the stock and other state variables and parameters [30]. The value of a flow can be positive or negative.…”

Section: System Dynamics (Sd)mentioning

confidence: 99%

System Dynamics versus Agent-Based Modeling: A Review of Complexity Simulation in Construction Waste Management

et al. 2018

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The environmental impacts caused by construction waste have attracted increasing attention in recent years. The effective management of construction waste is essential in order to reduce negative environmental influences. Construction waste management (CWM) can be viewed as a complex adaptive system, as it involves not only various factors (e.g., social, economic, and environmental), but also different stakeholders (such as developers, contractors, designers, and governmental departments) simultaneously. System dynamics (SD) and agent-based modeling (ABM) are the two most popular approaches to deal with the complexity in CWM systems. However, the two approaches have their own advantages and drawbacks. The aim of this research is to conduct a comprehensive review and develop a novel model for combining the advantages of both SD and ABM. The research findings revealed that two options can be considered when combining SD with ABM; the two options are discussed.

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“…However, generation capacity matching studies have not taken into account the feedback and delays from key driving processes, which is important when considering long-run impacts [41]. For example, increased electricity consumption can lead to increased income levels [42];…”

Section: Literature Reviewmentioning

confidence: 99%

Rural electrification and capacity expansion with an integrated modeling approach

2018

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In developing countries, mini-grids are seen as an important option to improve electrification rates in rural areas. In order to be successful, mini-grids face issues of operation and sizing of generation capacities. Current studies on the optimal sizing of mini-grids do not include capacity expansion feedbacks regarding the operator's or investor's long-term economic performance on growth in electricity usage, e.g. gap between demand and supply impacting the operator's income. Using a System Dynamics model, this paper compares the impact from two capacity expansion strategies on rural mini-grid operator's long-term economic performance. The two capacity expansion strategies are: a strategy with minimized costs and a strategy where only diesel power is allowed. Research shows that a costminimized capacity expansion strategy might not be the most beneficial solution for the operator's long term financial performance. Specifically, the high investment costs prohibit the implementation of the cost-minimized expansion strategy. In addition, the diesel-only expansion strategy suffers from high operational costs, which creates long-term challenges as the share of diesel increase. Therefore, the timeline of the investments and when to implement different strategies is important, creating a benefit for a System Dynamics approach.

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Application of system dynamics approach in electricity sector modelling: A review

Cited by 114 publications

References 58 publications

Transportation Mode Selection using System Dynamics Approach

Transportation Mode Selection using System Dynamics Approach

System Dynamics versus Agent-Based Modeling: A Review of Complexity Simulation in Construction Waste Management

Rural electrification and capacity expansion with an integrated modeling approach

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