IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v236y2019icp927-936.html
   My bibliography  Save this article

Evaluation of carbon and water policies in the optimization of water distribution networks involving power-desalination plants

Author

Listed:
  • Munguía-López, Aurora del Carmen
  • González-Bravo, Ramón
  • Ponce-Ortega, José María

Abstract

This paper presents an optimization approach for water distribution networks. The system includes power-desalination plants as well as taxes and tax credits applied to carbon emissions and water management. To find the optimal design of the system, the profit is maximized, whereas the impact of economic penalties and compensations on environmental and social functions is analyzed. The model considers energy and water demands for distinct users (domestic, agricultural and industrial), which can be satisfied by using fossil fuels, biofuels, solar energy, water storage tanks, water from natural sources (aquifers and dams) as well as water and energy generated in dual-purpose power plants. A water management problem in the Sonoran Desert from Mexico is addressed as a case study. Results show important economic benefits, reduction in emissions and generation of jobs, especially when carbon tax credits are involved. With the greatest compensation, the avoided emissions are 59,984 ton CO2/year, likewise, the maximum values for the number of jobs and profit are attained (12,647 generated jobs and 1635 MM$/year). Similarly, water taxes and tax credits contribute to finding high profit values as well as benefits in the environmental functions, such as reductions in water extractions and rises in the recharge of aquifers. For instance, with the highest tax, the water extraction decreases to 179 × 106 m3/year (104 × 106 m3/year lower than the reference case) and the recharges of two of the aquifers evaluated in the case study achieve their maximum values (75 × 106 and 73 × 106 m3/year).

Suggested Citation

  • Munguía-López, Aurora del Carmen & González-Bravo, Ramón & Ponce-Ortega, José María, 2019. "Evaluation of carbon and water policies in the optimization of water distribution networks involving power-desalination plants," Applied Energy, Elsevier, vol. 236(C), pages 927-936.
    • Handle: RePEc:eee:appene:v:236:y:2019:i:c:p:927-936
    DOI: 10.1016/j.apenergy.2018.12.053
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261918318737
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2018.12.053?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. Upshaw, Charles R. & Rhodes, Joshua D. & Webber, Michael E., 2017. "Modeling electric load and water consumption impacts from an integrated thermal energy and rainwater storage system for residential buildings in Texas," Applied Energy, Elsevier, vol. 186(P3), pages 492-508.
    2. Cristóbal, Jorge & Guillén-Gosálbez, Gonzalo & Jiménez, Laureano & Irabien, Angel, 2012. "MINLP model for optimizing electricity production from coal-fired power plants considering carbon management," Energy Policy, Elsevier, vol. 51(C), pages 493-501.
    3. Chen, Zhan-Ming & Liu, Yu & Qin, Ping & Zhang, Bo & Lester, Leo & Chen, Guanghua & Guo, Yumei & Zheng, Xinye, 2015. "Environmental externality of coal use in China: Welfare effect and tax regulation," Applied Energy, Elsevier, vol. 156(C), pages 16-31.
    4. Huang, Xiaojian & Luo, Xianglong & Chen, Jianyong & Yang, Zhi & Chen, Ying & María Ponce-Ortega, José & El-Halwagi, Mahmoud M., 2018. "Synthesis and dual-objective optimization of industrial combined heat and power plants compromising the water–energy nexus," Applied Energy, Elsevier, vol. 224(C), pages 448-468.
    5. Ren, Hongbo & Gao, Weijun, 2010. "A MILP model for integrated plan and evaluation of distributed energy systems," Applied Energy, Elsevier, vol. 87(3), pages 1001-1014, March.
    6. Hoel, Michael, 1996. "Should a carbon tax be differentiated across sectors?," Journal of Public Economics, Elsevier, vol. 59(1), pages 17-32, January.
    7. Donald B. Marron & Eric J. Toder, 2014. "Tax Policy Issues in Designing a Carbon Tax," American Economic Review, American Economic Association, vol. 104(5), pages 563-568, May.
    8. Baranzini, Andrea & Goldemberg, Jose & Speck, Stefan, 2000. "A future for carbon taxes," Ecological Economics, Elsevier, vol. 32(3), pages 395-412, March.
    9. Liu, Yu & Lu, Yingying, 2015. "The Economic impact of different carbon tax revenue recycling schemes in China: A model-based scenario analysis," Applied Energy, Elsevier, vol. 141(C), pages 96-105.
    10. Rubio-Maya, Carlos & Uche-Marcuello, Javier & Martínez-Gracia, Amaya & Bayod-Rújula, Angel A., 2011. "Design optimization of a polygeneration plant fuelled by natural gas and renewable energy sources," Applied Energy, Elsevier, vol. 88(2), pages 449-457, February.
    11. Fuentes-Cortés, Luis Fabián & Ma, Yan & Ponce-Ortega, Jose María & Ruiz-Mercado, Gerardo & Zavala, Victor M., 2018. "Valuation of water and emissions in energy systems," Applied Energy, Elsevier, vol. 210(C), pages 518-528.
    12. Peter M. Clarkson & Yue Li & Matthew Pinnuck & Gordon D. Richardson, 2015. "The Valuation Relevance of Greenhouse Gas Emissions under the European Union Carbon Emissions Trading Scheme," European Accounting Review, Taylor & Francis Journals, vol. 24(3), pages 551-580, September.
    13. Cristóbal, Jorge & Guillén-Gosálbez, Gonzalo & Jiménez, Laureano & Irabien, Angel, 2012. "Optimization of global and local pollution control in electricity production from coal burning," Applied Energy, Elsevier, vol. 92(C), pages 369-378.
    14. Liang, Qiao-Mei & Wei, Yi-Ming, 2012. "Distributional impacts of taxing carbon in China: Results from the CEEPA model," Applied Energy, Elsevier, vol. 92(C), pages 545-551.
    15. Alexandre Kossoy & Grzegorz Peszko & Klaus Oppermann & Nicolai Prytz & Noemie Klein & Kornelis Blok & Long Lam & Lindee Wong & Bram Borkent, "undated". "State and Trends of Carbon Pricing 2015," World Bank Publications - Reports 22630, The World Bank Group.
    16. Fang, Guochang & Tian, Lixin & Fu, Min & Sun, Mei & Du, Ruijin & Liu, Menghe, 2017. "Investigating carbon tax pilot in YRD urban agglomerations—Analysis of a novel ESER system with carbon tax constraints and its application," Applied Energy, Elsevier, vol. 194(C), pages 635-647.
    17. Martín, Mariano & Grossmann, Ignacio E., 2018. "Optimal integration of renewable based processes for fuels and power production: Spain case study," Applied Energy, Elsevier, vol. 213(C), pages 595-610.
    18. Feijoo, Felipe & Das, Tapas K., 2014. "Design of Pareto optimal CO2 cap-and-trade policies for deregulated electricity networks," Applied Energy, Elsevier, vol. 119(C), pages 371-383.
    19. Vatn, Arild, 2015. "Markets in environmental governance. From theory to practice," Ecological Economics, Elsevier, vol. 117(C), pages 225-233.
    20. Richard G. Newell & William A. Pizer & Daniel Raimi, 2013. "Carbon Markets 15 Years after Kyoto: Lessons Learned, New Challenges," Journal of Economic Perspectives, American Economic Association, vol. 27(1), pages 123-146, Winter.
    21. Alton, Theresa & Arndt, Channing & Davies, Rob & Hartley, Faaiqa & Makrelov, Konstantin & Thurlow, James & Ubogu, Dumebi, 2014. "Introducing carbon taxes in South Africa," Applied Energy, Elsevier, vol. 116(C), pages 344-354.
    22. Molinos-Senante, María & Hanley, Nick & Sala-Garrido, Ramón, 2015. "Measuring the CO2 shadow price for wastewater treatment: A directional distance function approach," Applied Energy, Elsevier, vol. 144(C), pages 241-249.
    23. Khan, Shahbaz & Mushtaq, Shahbaz & Hanjra, Munir A. & Schaeffer, Jürgen, 2008. "Estimating potential costs and gains from an aquifer storage and recovery program in Australia," Agricultural Water Management, Elsevier, vol. 95(4), pages 477-488, April.
    24. Nanduri, Vishnu & Saavedra-Antolínez, Ivan, 2013. "A competitive Markov decision process model for the energy–water–climate change nexus," Applied Energy, Elsevier, vol. 111(C), pages 186-198.
    25. Cho, Heejin & Mago, Pedro J. & Luck, Rogelio & Chamra, Louay M., 2009. "Evaluation of CCHP systems performance based on operational cost, primary energy consumption, and carbon dioxide emission by utilizing an optimal operation scheme," Applied Energy, Elsevier, vol. 86(12), pages 2540-2549, December.
    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. Klaimi, Rachid & Alnouri, Sabla Y. & Stijepović, Mirko, 2022. "Investigation of seasonal variations and multiple fuel options in a novel tri-generation CSP integrated hybrid energy process," Energy, Elsevier, vol. 261(PB).
    2. Lee, Boreum & Lee, Hyunjun & Lim, Dongjun & Brigljević, Boris & Cho, Wonchul & Cho, Hyun-Seok & Kim, Chang-Hee & Lim, Hankwon, 2020. "Renewable methanol synthesis from renewable H2 and captured CO2: How can power-to-liquid technology be economically feasible?," Applied Energy, Elsevier, vol. 279(C).
    3. Santibañez-Aguilar, José Ezequiel & Quiroz-Ramírez, Juan José & Sánchez-Ramírez, Eduardo & Segovia-Hernández, Juan Gabriel & Flores-Tlacuahuac, Antonio & Ponce-Ortega, José María, 2022. "Marginalization index as social measure for Acetone-Butanol-Ethanol supply chain planning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
    4. Cao, R. & Huang, G.H. & Chen, J.P. & Li, Y.P. & He, C.Y., 2021. "A chance-constrained urban agglomeration energy model for cooperative carbon emission management," Energy, Elsevier, vol. 223(C).
    5. Chen, Chen & Zhang, Xiaodong & Zhang, Huayong & Cai, Yanpeng & Wang, Shuguang, 2022. "Managing water-energy-carbon nexus in integrated regional water network planning through graph theory-based bi-level programming," Applied Energy, Elsevier, vol. 328(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. Wang, Qian & Hubacek, Klaus & Feng, Kuishuang & Wei, Yi-Ming & Liang, Qiao-Mei, 2016. "Distributional effects of carbon taxation," Applied Energy, Elsevier, vol. 184(C), pages 1123-1131.
    2. Wesseh, Presley K. & Lin, Boqiang & Atsagli, Philip, 2017. "Carbon taxes, industrial production, welfare and the environment," Energy, Elsevier, vol. 123(C), pages 305-313.
    3. Fuentes-Cortés, Luis Fabián & Ma, Yan & Ponce-Ortega, Jose María & Ruiz-Mercado, Gerardo & Zavala, Victor M., 2018. "Valuation of water and emissions in energy systems," Applied Energy, Elsevier, vol. 210(C), pages 518-528.
    4. Wesseh, Presley K. & Lin, Boqiang, 2018. "Optimal carbon taxes for China and implications for power generation, welfare, and the environment," Energy Policy, Elsevier, vol. 118(C), pages 1-8.
    5. Wesseh, Presley K. & Lin, Boqiang, 2016. "Modeling environmental policy with and without abatement substitution: A tradeoff between economics and environment?," Applied Energy, Elsevier, vol. 167(C), pages 34-43.
    6. Freyre, Alisa & Klinke, Sandra & Patel, Martin K., 2020. "Carbon tax and energy programs for buildings: Rivals or allies?," Energy Policy, Elsevier, vol. 139(C).
    7. Anan Wattanakuljarus, 2019. "Effects and burdens of a carbon tax scheme in Thailand," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 9(2), pages 173-219, June.
    8. Xiao Yu & Yingdong Xu & Meng Sun & Yanzhe Zhang, 2021. "The Green-Innovation-Inducing Effect of a Unit Progressive Carbon Tax," Sustainability, MDPI, vol. 13(21), pages 1-18, October.
    9. Huang, Yi & Yi, Qun & Kang, Jing-Xian & Zhang, Ya-Gang & Li, Wen-Ying & Feng, Jie & Xie, Ke-Chang, 2019. "Investigation and optimization analysis on deployment of China coal chemical industry under carbon emission constraints," Applied Energy, Elsevier, vol. 254(C).
    10. Julien Lefevre, 2018. "Modeling the Socioeconomic Impacts of the Adoption of a Carbon Pricing Instrument – Literature review," CIRED Working Papers hal-03128619, HAL.
    11. You-Yi Guo & Jin-Xu Lin & Shih-Mo Lin, 2022. "The Distribution Effects of a Carbon Tax on Urban and Rural Households in China," Sustainability, MDPI, vol. 14(13), pages 1-15, June.
    12. de Bruin, Kelly & Yakut, Aykut Mert, 2024. "Efficiency–equity trade-off in the Irish carbon tax: A CGE investigation of mixed revenue recycling schemes," Economic Modelling, Elsevier, vol. 134(C).
    13. Saelim, Supawan, 2019. "Carbon tax incidence on household consumption: Heterogeneity across socio-economic factors in Thailand," Economic Analysis and Policy, Elsevier, vol. 62(C), pages 159-174.
    14. Naraharisetti, Pavan Kumar & Karimi, I.A. & Anand, Abhay & Lee, Dong-Yup, 2011. "A linear diversity constraint – Application to scheduling in microgrids," Energy, Elsevier, vol. 36(7), pages 4235-4243.
    15. Xin Zhao & Yanqi Chen & Gang Xu & Heng Chen, 2022. "Economic Assessment of Operation Strategies on Park-Level Integrated Energy System Coupled with Biogas: A Case Study in a Sewage Treatment Plant," Energies, MDPI, vol. 16(1), pages 1-21, December.
    16. Nopiah, Ririn & Widodo, Tri, 2019. "Climate Change Mitigation Through Market-based instruments in Large Asian Emitters," MPRA Paper 91230, University Library of Munich, Germany.
    17. Omu, Akomeno & Choudhary, Ruchi & Boies, Adam, 2013. "Distributed energy resource system optimisation using mixed integer linear programming," Energy Policy, Elsevier, vol. 61(C), pages 249-266.
    18. Mavromatidis, Georgios & Orehounig, Kristina & Carmeliet, Jan, 2018. "A review of uncertainty characterisation approaches for the optimal design of distributed energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 258-277.
    19. Wu, Rongxin & Tan, Zhizhou & Lin, Boqiang, 2023. "Does carbon emission trading scheme really improve the CO2 emission efficiency? Evidence from China's iron and steel industry," Energy, Elsevier, vol. 277(C).
    20. Bracco, Stefano & Delfino, Federico & Pampararo, Fabio & Robba, Michela & Rossi, Mansueto, 2014. "A mathematical model for the optimal operation of the University of Genoa Smart Polygeneration Microgrid: Evaluation of technical, economic and environmental performance indicators," Energy, Elsevier, vol. 64(C), pages 912-922.

    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:236:y:2019:i:c:p:927-936. 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.