Literature DB >> 31401507

Assessing the potential for renewable energy powered desalination for the global irrigation sector.

Upeksha Caldera1, Christian Breyer2.   

Abstract

By 2050, it is estimated that the annual cereal production would need to increase by about 140% and total global food production increase by 70%. Meanwhile, total water withdrawals for irrigation are projected to increase by 11%. In contrast, poor management of existing water resources, pollution and climate change has resulted in limited freshwater resources. The aim of this paper is to assess how improved irrigation efficiency and renewable energy based desalination maybe used to secure future water supplies for the growth of rice, wheat and maize. The efficiencies of the existing irrigation sites were obtained and improved based on a logistic curve. The growth was projected such that by 2050, all existing irrigation sites would have an efficiency of 90%. The new irrigation efficiencies were used to obtain the reduced irrigation demand for the years 2030 and 2050. The desalination demand was estimated and an energy system model used to optimise the corresponding renewable energy based power system. It was found that improving the average irrigation efficiency to 60% by 2030, led to a 64% reduction in total desalination demand. Similarly, an improvement towards 90% irrigation efficiency, by 2050, translates to an 80% reduction in global desalination demand. In 2030, the total water cost is mostly within 0.7 €/m3-2 €/m3 including water transportation costs. Literature reports that farmers may be willing to pay up to 0.63 €/m3 for their irrigation water. The global range in 2050 is estimated to be 0.45 €/m3-1.7 €/m3 reflecting the lower system costs in 2050. The above results indicate that as conventional water prices increase, renewable energy based seawater reverse osmosis desalination, offers a cost effective water supply for the irrigation sector. Adoption of high efficiency irrigation systems alleviate water stress and can eliminate need for additional water supply.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Irrigation efficiency; Seawater reverse osmosis; Solar photovoltaics; Water stress; Wind power plants

Year:  2019        PMID: 31401507     DOI: 10.1016/j.scitotenv.2019.133598

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  2 in total

1.  Weed Identification by Single-Stage and Two-Stage Neural Networks: A Study on the Impact of Image Resizers and Weights Optimization Algorithms.

Authors:  Muhammad Hammad Saleem; Kesini Krishnan Velayudhan; Johan Potgieter; Khalid Mahmood Arif
Journal:  Front Plant Sci       Date:  2022-04-25       Impact factor: 6.627

2.  Contextualizing the scope, scale, and speed of energy pathways toward sustainable development in Africa.

Authors:  Ayobami S Oyewo; Dmitrii Bogdanov; Arman Aghahosseini; Theophilus N O Mensah; Christian Breyer
Journal:  iScience       Date:  2022-09-06
  2 in total

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