Juan Manzano
Polytechnic University of Valencia
27 Papers
92 Citations
Juan Manzano is an academic researcher from Polytechnic University of Valencia. The author has contributed to research in topics: Irrigation & Injector. The author has an hindex of 7, co-authored 26 publications.
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Papers
Methodology to improve water and energy use by proper irrigation scheduling in pressurised networks
TL;DR: In this paper, a methodology to reduce energy consumption and improve water use in pressurised irrigation systems was proposed to enable irrigation intakes to operate during the scheduled period for each intake instead of operating during restricted irrigation periods of the same length.
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Standalone direct pumping photovoltaic system or energy storage in batteries for supplying irrigation networks. Cost analysis.
TL;DR: In this work, several types of irrigation scheduled programmes that minimise the number of photovoltaic solar panels to be installed are studied and the effects of the variable costs linked to energy (energy and emissions costs) are presented.
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Assessment of a 4-input artificial neural network for ETo estimation through data set scanning procedures
TL;DR: The results of a comparative analysis between both methodologies show that the performance results achieved with the traditional methodology can be misleading when evaluating the real ability of a model, as they are referred to the single specific data set assignment assumed.
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Generalization of ETo ANN Models through Data Supplanting
TL;DR: In this paper, the application of artificial neural networks (ANNs) for estimating reference evapotranspiration (ETo ) as a function of local maximum and minimum air temperatures as well as exogenous relative humidity and reference ETo in different continental contexts of the autonomous Valencia region, on the Spanish Mediterranean coast.
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Energy Consumption Optimization in Irrigation Networks Supplied by a Standalone Direct Pumping Photovoltaic System
Miguel Ángel Pardo,Juan Manzano,Diego García +2 more
- 17 Oct 2018
TL;DR: In this article, the authors proposed a new methodology to select the scheduled program for irrigation which minimizes the number of photovoltaic solar panels to be installed and which better fits energy consumption to available energy obtained by panels without any power conditioning unit.