Hydropower Reservoir Management Under Climate Change: The Karoon Reservoir System

Jahandideh-Tehrani, Mahsa; Bozorg‐Haddad, Omid; Loáiciga, Hugo A.

doi:10.1007/s11269-014-0840-7

Cited by 71 publications

(19 citation statements)

References 36 publications

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“…The meteorological variables temperature and precipitation are important in climate change studies for hydroelectric management [13,16,20,56,57]. Some authors only model precipitation, considering it the higher impact factor on the availability of water for power generation [21].…”

Section: Regional Scalementioning

confidence: 99%

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An Overview of Hydropower Reservoirs in Brazil: Current Situation, Future Perspectives and Impacts of Climate Change

Dias

Luz

Medero

et al. 2018

Water

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Global climate change, related to the greenhouse gases emission, impacts hydroelectric power generation mainly due to the increase in air temperature and changes in the precipitation patterns. As a consequence, it affects basin evapotranspiration process, runoff, sediment transport as well as evaporation of reservoirs. This study analysed the current and future Brazilian context of hydroelectric reservoirs and investigated the potential impacts of climate change on hydropower generation and possible mitigation adjustments, giving relevant examples from around the world. Moreover, it is key to consider other factors that influence the availability of water resources such as: (a) upstream development of reservoirs, mainly the development of agricultural systems, which can contribute to increased water demand; (b) changes in land use, which can have an impact on soil degradation and sediment transport. Hydroelectric dams are a possible alternative to mitigate the impacts of climate change considering that those impacts could generate the need of adaptive actions. The assessment of climate change impacts' projections anticipates possible future scenarios and can assist in strategic planning together with the definition of adaptive operational policies.

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Section: Regional Scalementioning

confidence: 99%

“…Optimised operating rules can balance power generation [7,16,17,20,57]. An example of such operational policies would be raising and lowering reservoir level during some seasons.…”

mentioning

confidence: 99%

An Overview of Hydropower Reservoirs in Brazil: Current Situation, Future Perspectives and Impacts of Climate Change

Dias

Luz

Medero

et al. 2018

Water

View full text Add to dashboard Cite

show abstract

“…For the reservoir mid-long term optimized operation system, the whole scheduling period is often 1 year and is divided into several periods by a month or 10 days, related literatures see (Wang et al 2002b;Huang and Wu 1993;Jahandideh-Tehrani and Bozorg Haddad 2015;Liu et al 2006;Xie et al 2012) The reservoir storage level and period of runoff composed of the system state variables (Z t , Q t ), t = 0,.... T. Variable X is the predetermined generation profit and (Z t , Q t , X) being the decision state. Reservoir outflow U t is the decision variable.…”

Section: Application Of Minimum Risk Model In Hydropower Optimal Schementioning

confidence: 99%

Application of Minimum Reward Risk Model in Reservoir Generation Scheduling

Zhang

Yang

et al. 2016

Water Resour Manage

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Discrete time Markov decision process is studied and the minimum reward risk model is established for the reservoir long-term generation optimization. Different form the commonly used optimization criterion of best expected reward in reservoir scheduling, the probability that the expected generation of the whole period not exceeding the predete reward target to be smallest is chosen as the optimizing target for this random process. For the hydropower tends to operate as peak-clipping mode in Market-based model to gain more profits, the function of electricity price and output can be founded by analyzing on the typical day load course of the electricity system. Compared with the generally used criteria of the largest expectation power generation model, this model is fitted for the decision-making in which the risk is needed to be limited to reflect the risk preference of the policy makers. Stochastic dynamic programming method is adopted to solve the model and the model is tested on the Three Gorges Hydropower Station.

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“…Some researchers have proposed criteria and methodologies that use simulation-optimization models to assess how climate change and global warming affect the hydrologic cycle and its effects on the performance of water resource systems. Most of these studies are addressed to assessing the climate change impacts on hydropower production by reservoirs [20][21][22]. Direct application of multiobjective optimization to flood risk management under climate change is very rare in the literature [23].…”

Section: Introductionmentioning

confidence: 99%

Efficiency Assessment of Existing Pumping/Hydraulic Network Systems to Mitigate Flooding in Low-Lying Coastal Regions under Different Scenarios of Sea Level Rise: The Mazzocchio Area Study Case

Cioffi¹,

Trapella²,

Conticello³

2018

Water

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Abstract:Rising of the sea level and/or heavy rainfall intensification significantly enhance the risk of flooding in low-lying coastal reclamation areas. Therefore, there is a necessity to assess whether channel hydraulic networks and pumping systems are still efficient and reliable in managing risks of flooding in such areas in the future. This study addresses these issues for the pumping system of the Mazzocchio area, which is the most depressed area within the Pontina plain, a large reclamation region in the south of Lazio (Italy). For this area, in order to assess climate change impact, a novel methodological approach is proposed, based on the development of a simulation-optimization model, which combines a multiobjective evolutionary algorithm and a hydraulic model. For assigned extreme rainfall events and sea levels, the model calculates sets of Pareto optimal solutions which are obtained by defining two optimality criteria: (a) to minimize the flooding surface in the considered area; (b) to minimize the pumping power necessary to mitigate the flooding. The application shows that the carrying capacity of the hydraulic network downstream of the pumping system is insufficient to cope with future sea level rise and intensification of rainfall.

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Hydropower Reservoir Management Under Climate Change: The Karoon Reservoir System

Cited by 71 publications

References 36 publications

An Overview of Hydropower Reservoirs in Brazil: Current Situation, Future Perspectives and Impacts of Climate Change

An Overview of Hydropower Reservoirs in Brazil: Current Situation, Future Perspectives and Impacts of Climate Change

Application of Minimum Reward Risk Model in Reservoir Generation Scheduling

Efficiency Assessment of Existing Pumping/Hydraulic Network Systems to Mitigate Flooding in Low-Lying Coastal Regions under Different Scenarios of Sea Level Rise: The Mazzocchio Area Study Case

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