The need for regional agencies to participate more strongly in large-scale energy facilities is demonstrated. Similar records in OSTI. GOV collections:. GOV Book: Multi-objective regional energy planning: application to the energy-park concept. Title: Multi-objective regional energy planning: application to the energy-park concept.
Full Record Other Related Research. Abstract A model based on hierarchial system theory and input-output analysis is developed for planning an energy park in a specific region. Top Brands. Store Availability. Ship to home. Free pickup. Free pickup today. Flavor Fruit Punch Mango See more flavors.
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Product Spec Ultimate Energy Rush! University Studied: 7. A Potent. Anagnostopoulos and Papantonis  combined an evaluation algorithm that simulates in detail the plant operation and an automated optimization software based on EA for optimum sizing of the various components of a reversible hydraulic system, i.
Anarbaev et al. Conclusions This paper provides an overview of the latest research developments concerning to the use of optimization algorithms for design, planning and control problems in the field of renewable and sustainable energy.
holspestnoptai.tk The review of over two hundred papers from the major referenced journals in the fields of renewable energy and computational optimization offers interesting conclusions that can be useful for renewable energy researchers. The first conclusion of this review is that the number of research papers that use optimization methods to solve renewable energy problems has increased dramatically in recent years, especially for wind and solar energy systems.
Some of these optimization methods are based on traditional approaches, such as Mixed-integer and Interval Linear-programming, Lagrangian Relaxation, Quadratic Programming, and Nelder—Mead simplex search, while a growing number of research papers tackle these problems using heuristic optimization methods, especially Genetic Algorithms and Particle Swarm Optimization. On the other hand, some researchers have solved multi- objective problems related to renewable energy systems using Pareto-optimization techniques.
Therefore, it can be concluded that the use of heuristic approaches, Pareto-based multi-objective optimization and parallel processing are promising research areas in the field of renewable and sustainable energy. References  Vine E. Breaking down the silos: The integration of energy efficiency, renewable energy, demand response and climate change. Energy Efficiency ; Wind-photovoltaic capacity coordination for a time-of-use rate industrial user.
Energy Efficiency ; doi Current status of research on optimum sizing of stand-alone hybrid solar-wind power generation systems. Applied Energy ;87 2 Accident risks in nuclear-power plants. Applied Energy ;75 On the physics of power, energy and economics of renewable electric energy sources-Part II. Renewable Energy ;35 8 Assessment of sustainability indicators for renewable energy technologies, Renewable and Sustainable Energy Reviews ;13 5 Renewable energy strategies for sustainable development.
Energy ;32 6 A key review on exergetic analysis and assessment of renewable energy resources for a sustainable future. Renewable and Sustainable Energy Reviews ;12 3 Energy, economics and environmental impacts of renewable energy systems.
Renewable and Sustainable Energy Reviews ;13 9 A review of energy models. Renewable and Sustainable Energy Reviews ;10 4 Handbook of applied optimization, Oxford University Press, Handbook of combinatorial optimization: Suplement volume B. Springer, Computers and intractability: A guide to the theory of NP- completeness. Freeman and Company. San Francisco, Handbook of metaheuristics. Parallel metaheuristics: A new class of algorithms.
Wiley and Sons, Handbook of meta-heuristics. Genetic search strategies in multi-criterion optimal design. Genetic algorithms in search, optimization and machine learning.
The fundamental purpose of energy planning is to formu late policy. Multiobjective regional energy planning. Application to the energy park concept. Authors. Abstract. A model based on hierarchial system theory and input-output analysis is developed for planning an energy park in a specific region. The concept of.
Addison-Wesley, Journal of Mathematical Modelling and Algorithms ;6 2 Gandibleux X. Hybrid metaheuristics for multi-objective combinatorial optimization. Hybrid metaheuristics: Studies in Computational Intelligence ; Community-scale renewable energy systems planning under uncertainty-An interval chance-constrained programming approach.
Renewable and Sustainable Energy Reviews ;13 4 A practical eco-environmental distribution network planning model including fuel cells and non-renewable distributed energy resources, Renewable Energy ;36 1 A comparative analysis for multiattribute selection among renewable energy alternatives using fuzzy axiomatic design and fuzzy analytic hierarchy process, Energy ; A review of computer tools for analysing the integration of renewable energy into various energy systems.
Applied Energy ;87 4 A novel formulation of carbon emissions costs for optimal design configuration of system transmission planning. Renewable Energy ;35 5 Renewable and Sustainable Energy Reviews ;doi Promotion strategy of clean technologies in distributed generation expansion planning. Renewable Energy ;34 12 Planning of community-scale renewable energy management systems in a mixed stochastic and fuzzy environment. Renewable Energy ;34 7 Sustainable energy futures: Methodological challenges in combining scenarios and participatory multi-criteria analysis.
European Journal of Operational Research ; 3 Long term electric load forecasting based on particle swarm optimization. Applied Energy ;87 1 Environmental-constrained energy planning using energy-efficiency and distributed-generation facilities.
Renewable Energy ;33 6 A relaxation-based heuristic for the design of cost-effective energy conversion systems. Energy ;31 Optimal investment strategies in decentralized renewable power generation under uncertainty. Energy ;32 5 Decentralized energy planning; modeling and application-a review. Renewable and Sustainable Energy Reviews ;11 5 Prediction of energy demands using neural network with model identification by global optimization. Energy Conversion and Management ; — Simulation and optimization of renewable energy systems.
GRASP and path relinking for project scheduling under partially renewable resources. Application of multi-criteria decision making to sustainable energy planning-A review. Renewable and Sustainable Energy Reviews ;8 4 Use of multicriteria decision analysis methods for energy planning problems.
Renewable and Sustainable Energy Reviews ;11 7 Review on multi-criteria decision analysis aid in sustainable energy decision-making.
Multi-objective planning of distributed energy resources: A review of the state-of-the-art. Renewable and Sustainable Energy Reviews ; Strategies for optimal penetration of intermittent renewables in complex energy systems based on techno-operational objectives. Renewable Energy ;36 2 Optimal model of congestion management in deregulated environment of power sector with promotion of renewable energy sources.
Renewable Energy ; Energy ; A practical algorithm for optimal operation management of distribution network including fuel cell power plants. Study on multi-objective optimization of load dispatch including renewable energy and CCS technologies. International Journal of Energy Research ; Optimal day-ahead trading and storage of renewable energies-an approximate dynamic programming approach.
Energy Systems ;1 1 Optimal design of gravity-fed looped water distribution networks considering the resilience index. Application of several meta-heuristic techniques to the optimization of real looped water distribution networks. Water Resources Management ;22 10 Scatter search for multi-objective optimization: A comparative study. Computational Optimization and Applications ;42 3 A Pareto-based memetic algorithm for optimization of looped water distribution systems. Engineering Optimization ;42 3 Renewable energy technologies for irrigation water pumping in India: A preliminary attempt towards potential estimation.
Energy 5 Wind turbine utilization for water pumping in Jordan. Journal of Wind Engineering and Industrial Aerodynamics ;91 10 Renewable Energy ;34 3 Waste-to-energy based greenhouse heating: exploring viability conditions through optimization models. Renewable Energy ;30 10 Is the wind a periodical phenomenon? The case of Mexico.
However, these two approaches are lack of flexibility and cannot adapt to the dynamic environment. Earth Sciences Library Branner. By Diogenes Linard Aquino Freitas. The hybrid multi-objective optimization SA algorithm , which displacement is based on the evolutionary strategy of GA: crossover and mutation, is implemented in inverse planning of external beam radiation therapy by using two kinds of objective functions, namely the average dose distribution based and the hybrid dose-volume constraints based objective functions. Multiobjective genetic algorithm optimization of the beam dynamics in linac drivers for free electron lasers. A2 B Unknown.
Long-term research and development needs for wind energy for the time frame Wind Energy ; The wind power of Mexico. Wind energy literature survey no. Wind Energy ; Heuristic and probabilistic wind power availability estimation procedures: Improved tools for technology and site selection. Renewable Energy ;32 4 Energy and environmental systems planning under uncertainty-An inexact fuzzy-stochastic programming approach.
Applied Energy ;87 10 Optimization of electrical system for offshore wind farms via genetic algorithm. Global status report. Optimal design of horizontal-axis wind turbines using blade- element theory and evolutionary computation.
Journal of Solar Energy Engineering ; 4 Optimal frequency design of wind turbine blades. Journal of Wind Engineering and Industrial Aerodynamics ;90 8 Model simplification and optimization of a passive wind turbine generator. On structural optimization of composite shell structures using a discrete constitutive parametrization. The method of moving asymptotes-a new method for structural optimization.
International Journal for Numerical Methods in Engineering ; Investigating the impact of non-linear geometrical effects on wind turbine blades-Part 1: Current status of design and test methods and future challenges in design optimization.