Abstract
Electricity has become a vital source of energy for social and economic development in modern era. Likewise, the issues of its planning and management have grown complex. To address complexity in decision making, researchers have chosen system dynamics (SD) modelling and simulation technique. A state-of-art of such studies published during the period 2000-2013 is presented in this paper. The contribution of this review lies in categorizing the literature based on the important and contemporary researched areas. These research areas include models developed for policy assessment, generation capacity expansion, financial instruments, demand side management, mixing methods, and finally micro-worlds. Review shows that policy assessment and generation capacity expansion are the two most modelled topics. Financial instruments models evaluate different mechanism to support renewable technologies whereas mixing-methods channelize descriptive approach of SD into evaluating a single objective. Demand side management and micro-worlds are the least focused categories in SD. This paper also discusses the individual models in each category highlighting their construct, outcomes and any deficiencies.
| Original language | English |
|---|---|
| Pages (from-to) | 29-37 |
| Number of pages | 9 |
| Journal | Renewable and Sustainable Energy Reviews |
| Volume | 56 |
| Early online date | 3 Dec 2015 |
| DOIs | |
| Publication status | Published - 30 Apr 2016 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 8 Decent Work and Economic Growth
Keywords
- electricity
- modelling
- system dynamics
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Dive into the research topics of 'Application of system dynamics approach in electricity sector modelling: a review'. Together they form a unique fingerprint.Research output
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An evaluation of the impact of aggressive hypertension, diabetes and smoking cessation management on CVD outcomes at the population level: a dynamic simulation analysis
Ansah, J. P., Inn, R. L. H. & Ahmad, S., 14 Aug 2019, In: BMC Public Health. 19, 13 p., 1105.Research output: Contribution to journal › Article › peer-review
Open AccessFile14 Link opens in a new tab Citations (Scopus)15 Downloads (Pure)
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