The Experts below are selected from a list of 321 Experts worldwide ranked by ideXlab platform
Yongsung Jang - One of the best experts on this subject based on the ideXlab platform.
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method and case study of multiobjective optimization based energy system design to minimize the primary energy use and Initial Investment Cost
Energies, 2015Co-Authors: Dongseok Kong, Yongsung JangAbstract:This study aimed to develop a building energy system design method to minimize the Initial Investment Cost and primary energy use. As for the energy system, various combinations were generated depending on the type and capacity of the device used as well as the number of units, energy consumption, and efficiency of the building. Because the design process of energy systems is a critical step in determining the performance of the building throughout the lifecycle, an effective design method is necessary. The proposed method determines the energy system that can minimize the primary energy use and Initial Investment Cost through a multiobjective optimization by calculating the cooling and heating energy consumptions of the building and Initial Investment Cost of the energy system using the load profile by the design-day, and the information in the design phase of the building. This method can support the decision-making process by providing engineers with an alternative proposal for minimizing the Initial Investment Cost and primary energy use by the Pareto analysis after reviewing the design combinations of various energy systems with limited information in the Initial design phase. To verify the effectiveness of the methodology, a case study of the two buildings was performed, and the analysis results were compared to the conventional design alternatives. As shown in the case study results, using a method developed in comparison with the conventional result can provide the efficient alternative selection with 80% of Initial Investment Cost and 86% of primary energy use, respectively. The results confirmed that the proposed methodology can provide various optimum results more effectively compared to the conventional design methods.
D A Petroglou - One of the best experts on this subject based on the ideXlab platform.
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simulation study of a large scale line focus trough collector solar power plant in greece
Renewable Energy, 2014Co-Authors: G C Bakos, D A PetroglouAbstract:This paper deals with the technical feasibility and economic viability of a solar thermal power plant using parabolic trough collectors in Greece. The power plant is to be installed in the island of Rhodes and its power output will be 8.55 MW. Power plant simulation is carried out using TRNSYS software (STEC library) and economic issues of the project such as Initial Cost of Investment, operation and maintenance (O&M) and energy Costs will be analyzed. It was found that for the particular Investment, considering a 75% of Initial Investment Cost loan (with a 10-year period), the payback period will be approximately 13 years.
Leyla Ozgener - One of the best experts on this subject based on the ideXlab platform.
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Modeling of driveway as a solar collector for improving efficiency of solar assisted geothermal heat pump system: A case study
Renewable and Sustainable Energy Reviews, 2015Co-Authors: Onder Ozgener, Leyla OzgenerAbstract:It is well known that rooftop solar thermal panels increase both power rates of circulation pumps and Initial Investment Cost of solar assisted ground source (geothermal) systems. To avoid both of them it means that the unnecessary energy consumption rates of circulation pump(s) and their Initial capital Cost, rather than installing rooftop solar thermal panels, driveways can be used as solar collectors for improving efficiency of geothermal heat pump systems (GSHP) and declining Initial capital Cost of SAGSHPs. Mainly this idea was first put in the middle by Jefferson W. Tester. In this paper, we will examine modeling of driveway as solar thermal panel to enhance efficiency of solar assisted geothermal heat pump system (SAGSHP) depends on its different operating types; yet we will give only a case that is investigated theoretically for solar assisted geothermal heat pump systems.
Arye Nehorai - One of the best experts on this subject based on the ideXlab platform.
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joint optimization of hybrid energy storage and generation capacity with renewable energy
IEEE Transactions on Smart Grid, 2014Co-Authors: Peng Yang, Arye NehoraiAbstract:In an isolated power grid or a micro-grid with a small carbon footprint, the penetration of renewable energy is usually high. In such power grids, energy storage is important to guarantee an uninterrupted and stable power supply for end users. Different types of energy storage have different characteristics, including their round-trip efficiency, power and energy rating, self-discharge, and Investment and maintenance Costs. In addition, the load characteristics and availability of different types of renewable energy sources vary in different geographic regions and at different times of year. Therefore joint capacity optimization for multiple types of energy storage and generation is important when designing this type of power systems. In this paper, we formulate a Cost minimization problem for storage and generation planning, considering both the Initial Investment Cost and operational/maintenance Cost, and propose a distributed optimization framework to overcome the difficulty brought about by the large size of the optimization problem. The results will help in making decisions on energy storage and generation capacity planning in future decentralized power grids with high renewable penetrations.
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joint optimization of hybrid energy storage and generation capacity with renewable energy
arXiv: Optimization and Control, 2013Co-Authors: Peng Yang, Arye NehoraiAbstract:In an isolated power grid or a micro-grid with a small carbon footprint, the penetration of renewable energy is usually high. In such power grids, energy storage is important to guarantee an uninterrupted and stable power supply for end users. Different types of energy storage have different characteristics, including their round-trip efficiency, power and energy rating, energy loss over time, and Investment and maintenance Costs. In addition, the load characteristics and availability of different types of renewable energy sources vary in different geographic regions and at different times of year. Therefore joint capacity optimization for multiple types of energy storage and generation is important when designing this type of power systems. In this paper, we formulate a Cost minimization problem for storage and generation planning, considering both the Initial Investment Cost and operational/maintenance Cost, and propose a distributed optimization framework to overcome the difficulty brought about by the large size of the optimization problem. The results will help in making decisions on energy storage and generation capacity planning in future decentralized power grids with high renewable penetrations.
Dongseok Kong - One of the best experts on this subject based on the ideXlab platform.
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method and case study of multiobjective optimization based energy system design to minimize the primary energy use and Initial Investment Cost
Energies, 2015Co-Authors: Dongseok Kong, Yongsung JangAbstract:This study aimed to develop a building energy system design method to minimize the Initial Investment Cost and primary energy use. As for the energy system, various combinations were generated depending on the type and capacity of the device used as well as the number of units, energy consumption, and efficiency of the building. Because the design process of energy systems is a critical step in determining the performance of the building throughout the lifecycle, an effective design method is necessary. The proposed method determines the energy system that can minimize the primary energy use and Initial Investment Cost through a multiobjective optimization by calculating the cooling and heating energy consumptions of the building and Initial Investment Cost of the energy system using the load profile by the design-day, and the information in the design phase of the building. This method can support the decision-making process by providing engineers with an alternative proposal for minimizing the Initial Investment Cost and primary energy use by the Pareto analysis after reviewing the design combinations of various energy systems with limited information in the Initial design phase. To verify the effectiveness of the methodology, a case study of the two buildings was performed, and the analysis results were compared to the conventional design alternatives. As shown in the case study results, using a method developed in comparison with the conventional result can provide the efficient alternative selection with 80% of Initial Investment Cost and 86% of primary energy use, respectively. The results confirmed that the proposed methodology can provide various optimum results more effectively compared to the conventional design methods.