Journal ArticleDOI
Performance comparison and parametric optimization of subcritical Organic Rankine Cycle (ORC) and transcritical power cycle system for low-temperature geothermal power generation
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In this article, an optimization procedure was conducted with a simulation program written in Matlab using five indicators: thermal efficiency, exergy efficiency, recovery efficiency, heat exchanger area per unit power output (APR), and the levelized energy cost (LEC).About:
This article is published in Applied Energy.The article was published on 2011-08-01. It has received 617 citations till now. The article focuses on the topics: Transcritical cycle & Organic Rankine cycle.read more
Citations
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A review of working fluid and expander selections for organic Rankine cycle
Junjiang Bao,Li Zhao +1 more
TL;DR: In this article, a comparison of pure and mixture working fluids' applications and a discussion of all types of expansion machines' operating characteristics for an effective organic Rankine cycle system is presented.
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Lowgrade heat conversion into power using organic Rankine cycles - A review of various applications
TL;DR: An organic Rankine cycle (ORC) machine is similar to a conventional steam cycle energy conversion system, but uses an organic fluid such as refrigerants and hydrocarbons instead of water as discussed by the authors.
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Review of organic Rankine cycle (ORC) architectures for waste heat recovery
TL;DR: An overview of ORC architectures can be found in this paper, where the performance evaluation criteria and boundary conditions are clearly stated, as well as an overview of the available experimental data is given.
Journal ArticleDOI
Geothermal heat pump systems: Status review and comparison with other heating options
TL;DR: In this paper, a review of geothermal heat pumps, including heat pump technology, earth connections, current world status and recent developments, is presented and compared in terms of costs, CO2 emissions and other parameters.
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Review: Multi-objective optimization methods and application in energy saving
Yunfei Cui,Yunfei Cui,Zhiqiang Geng,Zhiqiang Geng,Qunxiong Zhu,Qunxiong Zhu,Yongming Han,Yongming Han +7 more
TL;DR: In order to get the final optimal solution in the real-world multi-objective optimization problems, trade-off methods including a priori methods, interactive methods, Pareto-dominated methods and new dominance methods are utilized.
References
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Book
Analysis, Synthesis and Design of Chemical Processes
TL;DR: In this article, the authors present essential flow diagrams for understanding processes, including the structure of Chemical Process Flow Diagrams, and tools for evaluating system performance and performance curves for individual unit operations.
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A review of thermodynamic cycles and working fluids for the conversion of low-grade heat
TL;DR: In this paper, a review of the organic Rankine cycle and supercritical Rankine Cycle for the conversion of low-grade heat into electrical power, as well as selection criteria of potential working fluids, screening of 35 working fluids for the two cycles and analyses of the influence of fluid properties on cycle performance are presented.
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Fluid selection for a low-temperature solar organic Rankine cycle
TL;DR: In this paper, theoretical performances as well as thermodynamic and environmental properties of few fluids have been comparatively assessed for use in low-temperature solar organic Rankine cycle systems.
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Parametric optimization and comparative study of organic Rankine cycle (ORC) for low grade waste heat recovery
TL;DR: In this paper, the effects of the thermodynamic parameters on the ORC performance were examined, and the optimal performance of different working fluids was compared and analyzed under the same waste heat condition.
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Optimum design criteria for an Organic Rankine cycle using low-temperature geothermal heat sources
TL;DR: In this paper, a cost-effective optimum design criterion for organic Rankine power cycles utilizing low-temperature geothermal heat sources is presented, where the ratio of the total heat exchanger area to net power output is used as the objective function and was optimized using the steepest descent method.