scholarly journals Analysis of the water, energy, and food nexus using system archetypes: A case study in the Jatiluhur reservoir, West Java, Indonesia

2020 ◽  
Author(s):  
muhamad bahri
Keyword(s):  
System Dynamics ◽  
Water Availability ◽  
Water Distribution ◽  
End Users ◽  
Feedback Loops ◽  
Crucial Issue ◽  
Limits To Growth ◽  
Multiple Functions ◽  
System Archetypes

The reservoir usually has multiple functions such as hydropower and water distribution for different end users. Multiple functions and multiple agents also mean there are tradeoffs among multiple functions among different end users. Through feedback loops, the system dynamics tools concern on the interdependency and the complexity of the nexus elements. This paper applies the system archetypes in investigating water-energy-food-land nexus (WEFLN) in the Jatiluhur reservoir, the largest reservoir in Indonesia. Using the system archetypes. It is found that there are growth engines to support industrial, residential, and fisheries sectors. However, water availability will be a crucial issue that possibly bounds the growth engines. This situation is called the limits to growth archetype. Another system archetype, the success to successful, is also identified. This archetype reminds us the distribution of water and power should be adjusted accordingly to sustain the growth in all sectors including industry, residence, and fisheries.

scholarly journals Energy Sector Development: System Dynamics Analysis

2019 ◽  
Vol 10 (1) ◽  
pp. 134 ◽  
Author(s):  
Mohamd Laimon ◽  
Thanh Mai ◽  
Steven Goh ◽  
Talal Yusaf
Keyword(s):  
System Dynamics ◽  
Fossil Fuel ◽  
High Energy ◽  
Energy Sector ◽  
Gas Production ◽  
Dynamic Complexity ◽  
Total Consumption ◽  
Limits To Growth ◽  
Fuel Resource

The development of a complex and dynamic system such as the energy sector requires a comprehensive understanding of its constituent components and their interactions, and thus requires approaches that can adapt to the dynamic complexity in systems. Previous efforts mainly used reductionist approaches, which examine the components of the system in isolation, neglecting their interdependent nature. Such approaches reduce our ability to understand the system and/or mitigate undesirable outcomes. We adopt a system dynamics approach to construct an integrated model for analysing the behaviour of the energy sector. Although the Australian energy sector is used as a case study, the model can be applied in other context elsewhere around the world The results indicate that the current trajectory of the Australian energy sector is unsustainable and growth is not being controlled. Limits to growth are fast approaching due to excessive fossil fuel extraction, high emissions and high energy dependency. With the current growth, Australia’s global CO2 emissions footprint will increase to unprecedented levels reaching 12% by 2030 (9.5% for exports and 2.5% for domestic). Oil dependency will account for 43% and 47% of total consumption by 2030 and 2050. By 2032, coal will be the only fossil fuel resource available in Australia. Expansion of investment in coal and gas production is a large risk.

scholarly journals System Archetypes to Understand the Impacts of Climate Change on Rice Production: A Case Study in West Nusa Tenggara, Indonesia

2020 ◽  
Author(s):  
Muhamad Bahri
Keyword(s):  
Climate Change ◽  
Rice Production ◽  
Climate Projections ◽  
Limits To Growth ◽  
Simple Tool ◽  
Change Impact ◽  
System Archetypes ◽  
High Minimum Temperature ◽  
Impacts Of Climate Change

Climate projections show that southern Indonesia such as West Nusa Tenggara is projected to experience a lower precipitation and higher temperatures. To date, research on climate change impact on Indonesian rice production yield is limited. As climate change is projected to decrease rainfall and to increase temperatures, this paper offers a qualitative analysis using system archetypes to understand the impacts of climate change on rice production. Two system archetypes are identified including Limits to Growth and Success to Successful. Both archetypes explain that rice production is hampered by high minimum temperature as photosynthesis output is decreased by increasing respiration. This paper shows that using a simple tool, system archetypes, we can describe the impacts of climate change on rice production. The outputs of this study such as a causal loop diagram and system archetypes can be a basis to develop a simulation model in understanding the impacts of climate change on main crops.

Laser Based Analysis on Analog Circuits with Feedback Loops and a Case Study

2006 ◽  
Author(s):  
Fubin Zhang ◽  
David Maxwell
Keyword(s):  
Success Rate ◽  
High Resistance ◽  
Analog Circuits ◽  
Analog Circuit ◽  
Feedback Loops ◽  
Induced Voltage ◽  
Analog Device ◽  
Analog Ic ◽  
Successful Isolation

Abstract Based on the understanding of laser based techniques’ physics theory and the topology/structure of analog circuit systems with feedback loops, the propagation of laser induced voltage/current alteration inside the analog IC is evaluated. A setup connection scheme is proposed to monitor this voltage/current alteration to achieve a better success rate in finding the fail site or defect. Finally, a case of successful isolation of a high resistance via on an analog device is presented.

scholarly journals System Dynamics-Multiple Objective Optimization Model for Water Resource Management: A Case Study in Jiaxing City, China

Water ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 671
Author(s):  
Xiaoying Zhou ◽  
Feier Wang ◽  
Kuan Huang ◽  
Huichun Zhang ◽  
Jie Yu ◽  
...  
Keyword(s):  
Resource Management ◽  
System Dynamics ◽  
Water Resource ◽  
Water Allocation ◽  
Water Resource Management ◽  
Water Shortage ◽  
Multiple Objective ◽  
Multiple Objective Optimization ◽  
Model Framework

Predicting and allocating water resources have become important tasks in water resource management. System dynamics and optimal planning models are widely applied to solve individual problems, but are seldom combined in studies. In this work, we developed a framework involving a system dynamics-multiple objective optimization (SD-MOO) model, which integrated the functions of simulation, policy control, and water allocation, and applied it to a case study of water management in Jiaxing, China to demonstrate the modeling. The predicted results of the case study showed that water shortage would not occur at a high-inflow level during 2018–2035 but would appear at mid- and low-inflow levels in 2025 and 2022, respectively. After we made dynamic adjustments to water use efficiency, economic growth, population growth, and water resource utilization, the predicted water shortage rates decreased by approximately 69–70% at the mid- and low-inflow levels in 2025 and 2035 compared to the scenarios without any adjustment strategies. Water allocation schemes obtained from the “prediction + dynamic regulation + optimization” framework were competitive in terms of social, economic and environmental benefits and flexibly satisfied the water demands. The case study demonstrated that the SD-MOO model framework could be an effective tool in achieving sustainable water resource management.

scholarly journals Assessment of national water footprint versus water availability - Case study for Egypt

2021 ◽  
Vol 60 (4) ◽  
pp. 3577-3585
Author(s):  
Mohamed ElFetyany ◽  
Hanan Farag ◽  
Samah H. Abd El Ghany
Keyword(s):  
Water Availability ◽  
Water Footprint ◽  
National Water

scholarly journals Bi-objective design-for-control of water distribution networks with global bounds

2021 ◽  
Author(s):  
Aly-Joy Ulusoy ◽  
Filippo Pecci ◽  
Ivan Stoianov
Keyword(s):  
Water Distribution ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Mixed Integer ◽  
Global Optimality ◽  
Linear Programs ◽  
Design For Control ◽  
Non Linear ◽  
Feasible Solutions

AbstractThis manuscript investigates the design-for-control (DfC) problem of minimizing pressure induced leakage and maximizing resilience in existing water distribution networks. The problem consists in simultaneously selecting locations for the installation of new valves and/or pipes, and optimizing valve control settings. This results in a challenging optimization problem belonging to the class of non-convex bi-objective mixed-integer non-linear programs (BOMINLP). In this manuscript, we propose and investigate a method to approximate the non-dominated set of the DfC problem with guarantees of global non-dominance. The BOMINLP is first scalarized using the method of $$\epsilon $$ ϵ -constraints. Feasible solutions with global optimality bounds are then computed for the resulting sequence of single-objective mixed-integer non-linear programs, using a tailored spatial branch-and-bound (sBB) method. In particular, we propose an equivalent reformulation of the non-linear resilience objective function to enable the computation of global optimality bounds. We show that our approach returns a set of potentially non-dominated solutions along with guarantees of their non-dominance in the form of a superset of the true non-dominated set of the BOMINLP. Finally, we evaluate the method on two case study networks and show that the tailored sBB method outperforms state-of-the-art global optimization solvers.

Coupling compositional data analysis (CoDA) with hierarchical cluster analysis (HCA) for preliminary understanding of the dynamics of a complex water distribution system: the Naples (south Italy) case study

2021 ◽  
Author(s):  
Pooria Ebrahimi ◽  
Stefano Albanese ◽  
Leopoldo Esposito ◽  
Daniela Zuzolo ◽  
Domenico Cicchella
Keyword(s):  
Distribution System ◽  
Water Distribution ◽  
Compositional Data ◽  
Tap Water ◽  
Hierarchical Cluster ◽  
Compositional Data Analysis ◽  
Anthropogenic Pressure ◽  
South Italy ◽  
Global Concern

Providing safe tap water has been a global concern. Water scarcity, the ever-increasing water demand, temporal variation of water consumption, aging urban water infrastructure and anthropogenic pressure on the water...

Sign in / Sign up

Export Citation Format

Share Document