Economic performance evaluation method for hydroelectric generating units

Liu, Yongqian; Luqing, Ye; Benoit, Inug; Liu, Xiuliang; Cheng, Yuanchu; Morel, Guillaume; Fu, Chenglong

doi:10.1016/s0196-8904(02)00098-5

Cited by 34 publications

(13 citation statements)

References 3 publications

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“…The proposed analysis takes into account previous works on this field (Liu and Ye, 2003;Georgakelos, 2002;Karlis and Papadopoulos, 2000), along with available information concerning the local hydro potential (Kaldellis and Kavadias, 2000). Accordingly, the impact of the governing techno-economic parameters on the financial behavior of SHP plants is analysed (Kaldellis and Gavras, 2000).…”

Section: Introductionmentioning

confidence: 99%

Techno-economic evaluation of small hydro power plants in Greece: a complete sensitivity analysis

2005

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Section: Introductionmentioning

confidence: 99%

Techno-economic evaluation of small hydro power plants in Greece: a complete sensitivity analysis

2005

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“…2). 19 The design analysis of a condenser for a concentrated solar power plant showed that the efficiency loss decreases as the condenser face area increases (Fig. 3).…”

Section: Resultsmentioning

confidence: 99%

Economies of scale: The physics basis

Bejan

Almerbati

Lorente

2017

Journal of Applied Physics

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Why is size so important? Why are "economies of scale" a universal feature of all flow systems, animate, inanimate, and human made? The empirical evidence is clear: the bigger are more efficient carriers (per unit) than the smaller. This natural tendency is observed across the board, from animal design to technology, logistics, and economics. In this paper, we rely on physics (thermodynamics) to determine the relation between the efficiency and size. Here, the objective is to predict a natural phenomenon, which is universal. It is not to model a particular type of device. The objective is to demonstrate based on physics that the efficiencies of diverse power plants should increase with size. The analysis is performed in two ways. First is the tradeoff between the "external" irreversibilities due to the temperature differences that exist above and below the temperature range occupied by the circuit executed by the working fluid. Second is the allocation of the fluid flow irreversibility between the hot and cold portions of the fluid flow circuit. The implications of this report in economics and design science (scaling up, scaling down) and the necessity of multi-scale design with hierarchy are discussed. Published by AIP Publishing.

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“…These metrics can be grouped into three main categories including variables that measure the economic performance (Voros et al, 2000;Hosseini et al, 2005;Motwani et al, 2013;Nouni et al, 2006), operational efficiency (Liu et al, 2003), and power production (Karlis and Papadopoulos, 2000;Aslan et al, 2008;Niadas and Mentzelopoulos, 2008). Economic indices include criteria such as the net present value (Deppo et al, 1984;Brealey and Myers, 2002;Karlis and Papadopoulos, 2000;Hosseini et al, 2005;Kaldellis et al, 2005;Nouni et al, 2006;Anagnostopoulos and Papantonis, 2007;Santolin et al, 2011;Basso and Botter, 2012), efficiency maintenance, operational maintenance (Liu et al, 2003), internal rate of return (Karlis and Papadopoulos, 2000;Kaldellis et al, 2005;Santolin et al, 2011;Basso and Botter, 2012;Kaldellis et al, 2005Kaldellis et al, , 2005, pay-back time (Karlis and Papadopoulos, 2000) and benefit-cost ratio (Hosseini et al, 2005;Karlis and Papadopoulos, 2000;Nouni et al, 2006;Anagnostopoulos and Papantonis, 2007). The operational efficiency of the RoR plant can be defined using metrics such as the overall efficiency, ideal efficiency, and reachable efficiency (Liu et al, 2003).…”

Section: Introduction and Scopementioning

confidence: 99%

A toolbox for the optimal design of run-of-river hydropower plants

Yildiz

Vrugt

2019

Environmental Modelling & Software

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A R T I C L E I N F O Keywords:Run-of-river (RoR) hydropower plant Impulse and reaction turbines Differential evolution (DE) Net present value (NPV) Capital and investment costs Flow duration curve (FDC) A B S T R A C THydroelectric power is a relatively cheap, reliable, sustainable, and renewable source of energy that can be generated without toxic waste and considerably lower emissions of greenhouse gases than fossil fuel energy plants. Conventional hydroelectric plants produce energy by the controlled release of dammed reservoir water to one or more turbines via a penstock. The kinetic energy of the falling water produces a rotational motion of the turbine shaft and this mechanical energy is converted into electricity via a power generator. Dam-based plants are among the largest and most flexible power producing facilities in the world, yet their construction and operation is costly and can damage and disrupt upstream and downstream ecosystems and have catastrophic effects on downriver settlements and infrastructure. Run-of-the-river (RoR) hydroelectric stations are an attractive and environmentally friendly alternative to dam-based facilities. These plants divert water from a flowing river to a turbine and do not require the formation of a reservoir. Despite their minimal impact on the surrounding environment and communities, the potential of RoR plants has not been fully explored and exploited. For example, in the United States it is estimated that RoR plants could annually produce 60, 000 MW, or about 13% of the total electricity consumption in 2016. Here, we introduce a numerical model, called HYdroPowER or HYPER, which uses a daily time step to simulate the technical performance, energy production, maintenance and operational costs, and economic profit of a RoR plant in response to a suite of different design and construction variables and record of river flows. The model is coded in MATLAB and includes a built-in evolutionary algorithm that enables the user to maximize the RoR plant's power production or net economic profit by optimizing (among others) the penstock diameter, and the type (Kaplan, Francis, Pelton and Crossflow) design flow, and configuration (single/parallel) of the turbine system. Unlike other published models, this module of HYPER carefully considers each turbine's design flow, admissible suction head, specific and rotational speed in evaluating the technical performance, cost and economic profit of a RoR plant. Two case studies illustrate the power and practical applicability of HYPER. Some of their results confirm earlier literature findings, that (I) the optimum capacity and design flow of a RoR plant is controlled by the river's flow duration curve, (II) a highly variable turbine inflow compromises energy production, and (III) a side-by-side dual turbine system enhances considerably the range of workable flows, operational flexibility and energy production of a RoR plant. HYPER includes a GUI and is available upon request from the authors.(fossil fuels) has profoundly negative healt...

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Economic performance evaluation method for hydroelectric generating units

Cited by 34 publications

References 3 publications

Techno-economic evaluation of small hydro power plants in Greece: a complete sensitivity analysis

Techno-economic evaluation of small hydro power plants in Greece: a complete sensitivity analysis

Economies of scale: The physics basis

A toolbox for the optimal design of run-of-river hydropower plants

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