IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v112y2013icp697-702.html
   My bibliography  Save this article

Feasibility analysis of solar irrigation system for pastures conservation in a demonstration area in Inner Mongolia

Author

Listed:
  • Xu, He
  • Liu, Jiahong
  • Qin, Dayong
  • Gao, Xuerui
  • Yan, Jinyue

Abstract

Pasture lands in Inner Mongolia of China have been deteriorated severely by overgrazing and climate change in the past 30years. There is a plan to set up a solar irrigation system in Xilamuren area of the region to restore the pastures effectively. In order to design the solar irrigation system based on groundwater, equations for analyzing the optimum irrigation amount were developed in this study, and the main steps to design the system were also given. The coefficients and parameters in the equations are related to meteorological factors, vegetation types and areas, and soil properties. The soil water content is a control variable to decide the water irrigation amount for its effects on maintaining the vegetation growth based on soil water evaporation, plant transpiration and physiological consumption. According to the pasture restoring objectives and water demands during the plants growing periods, proper soil water contents are chosen as evaluation basis for irrigation. The groundwater system should be kept healthy during exploitation; so, the possible supply of local groundwater is a constraint condition in the model. Besides, an optimum irrigation amount process in a whole year is provided for the solar powered system design.

Suggested Citation

  • Xu, He & Liu, Jiahong & Qin, Dayong & Gao, Xuerui & Yan, Jinyue, 2013. "Feasibility analysis of solar irrigation system for pastures conservation in a demonstration area in Inner Mongolia," Applied Energy, Elsevier, vol. 112(C), pages 697-702.
  • Handle: RePEc:eee:appene:v:112:y:2013:i:c:p:697-702
    DOI: 10.1016/j.apenergy.2013.01.011
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261913000196
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2013.01.011?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yu, Yingdong & Liu, Jiahong & Wang, Hao & Liu, Miao, 2011. "Assess the potential of solar irrigation systems for sustaining pasture lands in arid regions – A case study in Northwestern China," Applied Energy, Elsevier, vol. 88(9), pages 3176-3182.
    2. Neal, J.S. & Fulkerson, W.J. & Hacker, R.B., 2011. "Differences in water use efficiency among annual forages used by the dairy industry under optimum and deficit irrigation," Agricultural Water Management, Elsevier, vol. 98(5), pages 759-774, March.
    3. Whitfield, G.R. & Bentley, R.W. & Burton, J.D., 1995. "Increasing the cost-effectiveness of small solar photovoltaic pumping systems," Renewable Energy, Elsevier, vol. 6(5), pages 483-486.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Olsson, Alexander & Campana, Pietro Elia & Lind, Mårten & Yan, Jinyue, 2014. "Potential for carbon sequestration and mitigation of climate change by irrigation of grasslands," Applied Energy, Elsevier, vol. 136(C), pages 1145-1154.
    2. Zhang, Jun & Liu, Jiahong & Campana, Pietro Elia & Zhang, Ruiqiang & Yan, Jinyue & Gao, Xuerui, 2014. "Model of evapotranspiration and groundwater level based on photovoltaic water pumping system," Applied Energy, Elsevier, vol. 136(C), pages 1132-1137.
    3. Campana, P.E. & Leduc, S. & Kim, M. & Olsson, A. & Zhang, J. & Liu, J. & Kraxner, F. & McCallum, I. & Li, H. & Yan, J., 2017. "Suitable and optimal locations for implementing photovoltaic water pumping systems for grassland irrigation in China," Applied Energy, Elsevier, vol. 185(P2), pages 1879-1889.
    4. Bossink, Bart A.G., 2017. "Demonstrating sustainable energy: A review based model of sustainable energy demonstration projects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 1349-1362.
    5. Yu, Yingdong & Liu, Jiahong & Wang, Ying & Xiang, Chenyao & Zhou, Jinjun, 2018. "Practicality of using solar energy for cassava irrigation in the Guangxi Autonomous Region, China," Applied Energy, Elsevier, vol. 230(C), pages 31-41.
    6. Boutelhig, Azzedine & Hanini, Salah & Arab, Amar Hadj, 2018. "Geospatial characteristics investigation of suitable areas for photovoltaic water pumping erections, in the southern region of Ghardaia, Algeria," Energy, Elsevier, vol. 165(PA), pages 235-245.
    7. Elnozahy, Ahmed & Abdel-Salam, Mazen & Abo-Elyousr, Farag K., 2024. "Optimal techno-economic energy coordination of solar PV water pumping irrigation systems," Energy, Elsevier, vol. 288(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Aliyu, Mansur & Hassan, Ghassan & Said, Syed A. & Siddiqui, Muhammad U. & Alawami, Ali T. & Elamin, Ibrahim M., 2018. "A review of solar-powered water pumping systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 87(C), pages 61-76.
    2. Sontake, Vimal Chand & Kalamkar, Vilas R., 2016. "Solar photovoltaic water pumping system - A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1038-1067.
    3. Wu, Yu & Mullan, Katrina & Biggs, Trent & Caviglia-Harris, Jill L. & Harris, Daniel & Sills, Erin O., 2018. "Do Forests Provide Watershed Services to Local Populations in the Humid Tropics? Evidence from the Brazilian Amazon," 2018 Annual Meeting, August 5-7, Washington, D.C. 274012, Agricultural and Applied Economics Association.
    4. Ma, Shangyu & Yu, Zhenwen & Shi, Yu & Gao, Zhiqiang & Luo, Lanping & Chu, Pengfei & Guo, Zengjiang, 2015. "Soil water use, grain yield and water use efficiency of winter wheat in a long-term study of tillage practices and supplemental irrigation on the North China Plain," Agricultural Water Management, Elsevier, vol. 150(C), pages 9-17.
    5. Vivar, M. & H, Sharon & Fuentes, M., 2024. "Photovoltaic system adoption in water related technologies – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    6. Santosh Singh Raghuwanshi & Vikas Khare, 2018. "Sizing and modelling of stand-alone photovoltaic water pumping system for irrigation," Energy & Environment, , vol. 29(4), pages 473-491, June.
    7. Olsson, Alexander & Campana, Pietro Elia & Lind, Mårten & Yan, Jinyue, 2014. "Potential for carbon sequestration and mitigation of climate change by irrigation of grasslands," Applied Energy, Elsevier, vol. 136(C), pages 1145-1154.
    8. Srinivasan, M.S. & Measures, Richard & Muller, Carla & Neal, Mark & Rajanayaka, Channa & Shankar, Ude & Elley, Graham, 2021. "Comparing the water use metrics of just-in-case, just-in-time and justified irrigation strategies using a scenario-based tool," Agricultural Water Management, Elsevier, vol. 258(C).
    9. Deng, Jianqiang & Zhang, Zhixin & Liang, Zhiting & Li, Zhou & Yang, Xianlong & Wang, Zikui & Coulter, Jeffrey A. & Shen, Yuying, 2020. "Replacing summer fallow with annual forage improves crude protein productivity and water use efficiency of the summer fallow-winter wheat cropping system," Agricultural Water Management, Elsevier, vol. 230(C).
    10. Junjie Yan & Guangpeng Zhang & Xiaoya Deng & Hongbo Ling & Hailiang Xu & Bin Guo, 2019. "Does Climate Change or Human Activity Lead to the Degradation in the Grassland Ecosystem in a Mountain-Basin System in an Arid Region of China?," Sustainability, MDPI, vol. 11(9), pages 1-15, May.
    11. Allouhi, A. & Buker, M.S. & El-houari, H. & Boharb, A. & Benzakour Amine, M. & Kousksou, T. & Jamil, A., 2019. "PV water pumping systems for domestic uses in remote areas: Sizing process, simulation and economic evaluation," Renewable Energy, Elsevier, vol. 132(C), pages 798-812.
    12. Zavala, V. & López-Luque, R. & Reca, J. & Martínez, J. & Lao, M.T., 2020. "Optimal management of a multisector standalone direct pumping photovoltaic irrigation system," Applied Energy, Elsevier, vol. 260(C).
    13. Khalil, Hamidreza Mirzaei & Esfandiari, Mahdi & Shahraki, Javad & Yaghoubi, Morteza, 2016. "Assessment of Water Use Efficiency Indices in Selected Plains of Fars Province, Iran," International Journal of Agricultural Management and Development (IJAMAD), Iranian Association of Agricultural Economics, vol. 6(2), June.
    14. Hassanien, Reda Hassanien Emam & Li, Ming & Dong Lin, Wei, 2016. "Advanced applications of solar energy in agricultural greenhouses," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 989-1001.
    15. Abu-Khader, Mazen M. & Badran, Omar O. & Abdallah, Salah, 2008. "Evaluating multi-axes sun-tracking system at different modes of operation in Jordan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(3), pages 864-873, April.
    16. Guo, Shan & Jiang, Li & Shen, Geoffrey Q.P., 2019. "Embodied pasture land use change in China 2000-2015: From the perspective of globalization," Land Use Policy, Elsevier, vol. 82(C), pages 476-485.
    17. van Staden, Adam Jacobus & Zhang, Jiangfeng & Xia, Xiaohua, 2011. "A model predictive control strategy for load shifting in a water pumping scheme with maximum demand charges," Applied Energy, Elsevier, vol. 88(12), pages 4785-4794.
    18. Zhang, Jun & Liu, Jiahong & Campana, Pietro Elia & Zhang, Ruiqiang & Yan, Jinyue & Gao, Xuerui, 2014. "Model of evapotranspiration and groundwater level based on photovoltaic water pumping system," Applied Energy, Elsevier, vol. 136(C), pages 1132-1137.
    19. Quanqi, Li & Xunbo, Zhou & Yuhai, Chen & Songlie, Yu, 2012. "Water consumption characteristics of winter wheat grown using different planting patterns and deficit irrigation regime," Agricultural Water Management, Elsevier, vol. 105(C), pages 8-12.
    20. Shange, Raymon & Martin, Richard & Khan, Victor & Daniels, Kwesi & Hunter, George X. & Johnson, Gwendolyn J. & Musser, Steve & Puckett, William & Hill, Walter A., 2014. "Extending Sustainable Irrigation Opportunities To Socially And Historically Disadvantaged Farmers In The Alabama Black Belt To Support Commercial-Level Production," Professional Agricultural Workers Journal (PAWJ), Professional Agricultural Workers Conference, vol. 1(2), pages 1-10.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:112:y:2013:i:c:p:697-702. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.