Optimization of conjunctive use of surface and groundwater by using LINGO and PSO in water resources management

Sabale, Ranjeet; Jose, Mathew K.

doi:10.1007/s41062-022-00750-x

Cited by 11 publications

(3 citation statements)

References 28 publications

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“…The detailed solution process is illustrated in Figure 1. It is noteworthy that the LINGO software package has been extensively applied across various domains including supply chain management, water resource planning, and grid planning, as seen in the works of Sitek and Wikarek [26]; Sabale and Jose [27]; Su et al [28]; and Vaezihir et al [29]; among others.…”

Section: Empirical Analysis Of Power Plant Cost Minimizationmentioning

confidence: 99%

“…Under the constraints of the leve of electricity (LCOE) for power plants, targeted secure power generation, car sions from the power system, and new renewable energy installations, a linear ming phased solution approach is adopted to minimize the cost of the power sy detailed solution process is illustrated in Figure 1. It is noteworthy that the LIN ware package has been extensively applied across various domains includin chain management, water resource planning, and grid planning, as seen in the Sitek and Wikarek [26]; Sabale and Jose [27]; Su et al [28]; and Vaezihir et al…”

Section: Empirical Analysis Of Power Plant Cost Minimizationmentioning

confidence: 99%

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Power System Decarbonization Assessment: A Case Study from Taiwan

Wang,

Lee

2024

Energies

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The first global stocktake (GST) at 2023 UN Climate Change Conference (COP28) pointed out that accelerating the phasing down of fossil fuels has become an important mitigation policy to maintain a maximum temperature limit of 1.5 °C. The optimal power portfolio for achieving Taiwan’s net-zero emissions by 2050 is evaluated from the perspective of sustainable development. This study is enhances the 2021 research findings of Wang et al. on the sustainable power model, incorporating homogenized cost and technical constraints for empirical analysis. The results indicated that renewable energy sources play a pivotal role in achieving net-zero emissions. Gas power generation requires careful consideration, including early decommissioning or the adoption of carbon capture and storage (CCS) technology to prevent carbon lock-in and compete with hydrogen energy technology. Notably, coal combined with CCS technology offers a viable option for a cost-effective roadmap for a decarburized power generation portfolio by 2050, serving as a reference for national planning strategies for promoting net-zero emissions.

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Section: Empirical Analysis Of Power Plant Cost Minimizationmentioning

confidence: 99%

Section: Empirical Analysis Of Power Plant Cost Minimizationmentioning

confidence: 99%

Power System Decarbonization Assessment: A Case Study from Taiwan

Wang,

Lee

2024

Energies

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“…In addition, evolutionary algorithms have been used on a large scale in the field of water resources management. The combination of simulation models with algorithms together has led to an increase in the performance of water resources models [8][9][10][11][12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Determining the Optimal Aquifer Exploitation under Artificial Recharge using the Combination of Numerical Models and Particle Swarm Optimization

et al. 2023

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Determining optimal exploitation from aquifers is always a major challenge, especially for aquifers facing a drop in their groundwater level. In aquifers with artificial recharge, more complex algorithms are required to determine the optimal exploitation amount. Therefore, in this study, the optimal amount of harvest from the exploitation wells has been determined using a combined simulation–optimization model considering the artificial recharge in Yasouj aquifer in Iran. The model is based on a combination of MODFLOW code and gene expression programming (GEP) simulator tool to simulate the aquifer and particle swarm optimization (PSO) to maximize the total exploitation from the aquifer. The simulation results showed that the artificial recharge was ineffective in maximum exploitation from the aquifer. As a result, considering several constraints, including the maximum pumping rate from the aquifer and the permissible drop in the groundwater level, the maximum exploitation from the aquifer was defined as the objective function. The optimization results showed that the optimal exploitation rate is equal to 8.84 million cubic meters (MCM) per year, and only 74% of the water from artificial recharge can be used based on this amount. Additionally, the most appropriate locations to exploit this amount of water are the northwest and east of the aquifer. According to the findings, it is suggested to ban exploitation from the central and southern parts of the aquifer due to the low groundwater level. The results of the sensitivity analysis show that the reduction in the maximum exploitation rate along with a 50% drop in the groundwater level play an effective role in decreasing the optimal exploitation amount.

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