Reservoir Operation using Multi-objective Evolutionary Algorithms-A Review

Adeyemo, Josiah

doi:10.3923/ajsr.2011.16.27

Cited by 26 publications

(13 citation statements)

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“…Multi-objective optimization methods are used widely in several research fields as an approach for solving a range of design problems, for example in determining an optimal aerodynamic shape [16], designing ovens for optimizing commercial breadmaking [17], operating reservoirs [18], and the design and implementation of renewable energy technologies [e.g. Refs.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective methods for determining optimal ventilation rates in dwellings

Das¹,

Chalabi

Jones³

et al. 2013

Building and Environment

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a b s t r a c tThe optimal ventilation rate in a dwelling is a trade-off between the requirement to minimize ventilation heat losses to help meet national greenhouse gas emission targets and the need to minimize adverse health impacts arising from exposure to cold temperatures and pollutants from indoor and outdoor origin. This paper presents approaches for exploring these trade-offs based on two implementations of multi-objective optimization that consider both energy efficiency and health impacts. Both methods aggregate the various performance criteria into a single criterion, but the first method monetizes the performance criteria, while the second method weights them in a more general way.Unlike in the monetization approach, the generalized multi-objective optimization approach is found to be robust against scaling of the health impacts and energy savings that is independent of the ventilation rate. As a result it is less sensitive to assumptions made in the models regarding heating system efficiency, absolute health burden level, and dwelling occupancy. It is however sensitive to assumptions regarding pollutant production rates and balance-point temperatures, which affect health impacts and energy savings in a way correlated with ventilation rate.A preliminary application of the methods to a typical UK flat and detached house finds that the optimal ventilation rate may vary with built form. Application of the generalized multi-objective optimization approach in which health impacts and energy savings are equally weighted, suggests an optimal annual average air change rate of 0.4/h for the detached house, and 0.7/h for the flat.Crown

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Section: Introductionmentioning

confidence: 99%

Multi-objective methods for determining optimal ventilation rates in dwellings

Das¹,

Chalabi

Jones³

et al. 2013

Building and Environment

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“…Yang (2012) proposed a new particle swarm optimization algorithm solving hierarchy multi-objective problems and applied it to optimize the operation of hydropower stations. However, some other extensive reviews of different available techniques can be found elsewhere (Adeyemo, 2011;Ajibola and Adewumi, 2014;Bianchi et al, 2009). Kumar and Minz (2014) provided a proper concept of particle swarm optimization and the multi-objective optimization problem in order to build a basic background with which to conduct multi-objective particle swarm optimization.…”

Section: Introductionmentioning

confidence: 99%

Application and comparison of NSGA-II and MOPSO in multi-objective optimization of water resources systems

Hojjati

Monadi

Faridhosseini

et al. 2018

Journal of Hydrology and Hydromechanics

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Optimal operation of reservoir systems is the most important issue in water resources management. It presents a large variety of multi-objective problems that require powerful optimization tools in order to fully characterize the existing trade-offs. Many optimization methods have been applied based on mathematical programming and evolutionary computation (especially heuristic methods) with various degrees of success more recently. This paper presents an implementation and comparison of multi-objective particle swarm optimization (MOPSO) and non-dominated sorting genetic algorithm II (NSGA-II) for the optimal operation of two reservoirs constructed on Ozan River catchment in order to maximize income from power generation and flood control capacity using MATLAB software. The alternative solutions were based on Pareto dominance. The results demonstrated superior capacity of the NSGA-II to optimize the operation of the reservoir system, and it provides better coverage of the true Pareto front than MOPSO.

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“…Water quality protection is now an important target in water quantity allocation (Castelletti et al,4 2013; Ferreira and Teegavarapu, 2012). New multi-objective optimization approaches were developed as a result of multiple reservoir operation targets (Adeyemo, 2011;Kurek and Ostfeld, 2013;Reddy and Kumar, 2007). Some creative operating approaches and rules were proposed for decision makers to resolve the interest conflicts of multiple stakeholders (Kerachian and Karamouz, 2006;Teegavarapu et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Hydrological management for improving nutrient assimilative capacity in plant-dominated wetlands: A modelling approach

Yang

Yin

et al. 2016

Journal of Environmental Management

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Wetland eutrophication is a global environmental problem. Besides reducing pollutant emissions, improving nutrient assimilative capacity in wetlands is also significant for preventing eutrophication. Hydrological management can improve nutrient assimilative capacity in wetlands through physical effects on the dilution capacity of water body and ecological effects on wetland nutrient cycles. The ecological effects are significant while were rarely considered in previous research. This study focused on the ecological effects of hydrological management on two crucial nutrient removal processes, plant uptake and biological denitrification, in plant-dominated wetlands. A dual-objective optimization model for hydrological management was developed to improve wetland nitrogen and phosphorus assimilative capacities, using upstream reservoir release as water regulating measure. The model considered the interactions between ecological processes and hydrological cycles in wetlands, and their joint effects on nutrient assimilative capacity. Baiyangdian Wetland, the largest freshwater wetland in northern China, was chosen as a case study. The results found that the annual total assimilative capacity of nitrogen (phosphorus) was 4754 (493) t under the optimal scheme for upstream reservoir operation. The capacity of nutrient removal during the summer season accounted for over 80% of the annual total removal capacity. It was interesting to find that the relationship between water inflow and nutrient assimilative capacity in a plant-dominated wetland satisfied a dose-response relationship commonly describing the response of an organism to an external stressor in the medical field. It illustrates that a plant-dominated wetland shows similar characteristics to an organism. This study offers a useful tool and some fresh implications for future management of wetland eutrophication prevention.

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Reservoir Operation using Multi-objective Evolutionary Algorithms-A Review

Cited by 26 publications

References 0 publications

Multi-objective methods for determining optimal ventilation rates in dwellings

Multi-objective methods for determining optimal ventilation rates in dwellings

Application and comparison of NSGA-II and MOPSO in multi-objective optimization of water resources systems

Hydrological management for improving nutrient assimilative capacity in plant-dominated wetlands: A modelling approach

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