IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i3p1255-d731297.html
   My bibliography  Save this article

Linking Distributed Optimization Models for Food, Water, and Energy Security Nexus Management

Author

Listed:
  • Yuri Ermoliev

    (International Institute for Applied Systems Analysis, 2361 Laxenburg, Austria)

  • Anatolij G. Zagorodny

    (Bogolyubov Institute for Theoretical Physics, National Academy of Sciences of Ukraine, 03142 Kiev, Ukraine)

  • Vjacheslav L. Bogdanov

    (Timoshenko Institute of Mechanics, National Academy of Sciences of Ukraine, 03142 Kiev, Ukraine)

  • Tatiana Ermolieva

    (International Institute for Applied Systems Analysis, 2361 Laxenburg, Austria)

  • Petr Havlik

    (International Institute for Applied Systems Analysis, 2361 Laxenburg, Austria)

  • Elena Rovenskaya

    (International Institute for Applied Systems Analysis, 2361 Laxenburg, Austria)

  • Nadejda Komendantova

    (International Institute for Applied Systems Analysis, 2361 Laxenburg, Austria)

  • Michael Obersteiner

    (International Institute for Applied Systems Analysis, 2361 Laxenburg, Austria)

Abstract

Traditional integrated modeling (IM) is based on developing and aggregating all relevant (sub)models and data into a single integrated linear programming (LP) model. Unfortunately, this approach is not applicable for IM under asymmetric information (ASI), i.e., when “private” information regarding sectoral/regional models is not available, or it cannot be shared by modeling teams (sectoral agencies). The lack of common information about LP submodels makes LP methods inapplicable for integrated LP modeling. The aim of this paper is to develop a new approach to link and optimize distributed sectoral/regional optimization models, providing a means of decentralized cross-sectoral coordination in the situation of ASI. Thus, the linkage methodology enables the investigation of policies in interdependent systems in a “decentralized” fashion. For linkage, the sectoral/regional models do not need recoding or reprogramming. They also do not require additional data harmonization tasks. Instead, they solve their LP submodels independently and in parallel by a specific iterative subgradient algorithm for nonsmooth optimization. The submodels continue to be the same separate LP models. A social planner (regulatory agency) only needs to adjust the joint resource constraints to simple subgradient changes calculated by the algorithm. The approach enables more stable and resilient systems’ performance and resource allocation as compared to the independent policies designed by separate models without accounting for interdependencies. The paper illustrates the application of the methodology to link detailed energy and agricultural production planning models under joint constraints on water and land use.

Suggested Citation

  • Yuri Ermoliev & Anatolij G. Zagorodny & Vjacheslav L. Bogdanov & Tatiana Ermolieva & Petr Havlik & Elena Rovenskaya & Nadejda Komendantova & Michael Obersteiner, 2022. "Linking Distributed Optimization Models for Food, Water, and Energy Security Nexus Management," Sustainability, MDPI, vol. 14(3), pages 1-14, January.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1255-:d:731297
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/3/1255/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/3/1255/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mark Howells & Sebastian Hermann & Manuel Welsch & Morgan Bazilian & Rebecka Segerström & Thomas Alfstad & Dolf Gielen & Holger Rogner & Guenther Fischer & Harrij van Velthuizen & David Wiberg & Charl, 2013. "Integrated analysis of climate change, land-use, energy and water strategies," Nature Climate Change, Nature, vol. 3(7), pages 621-626, July.
    2. Baffes, John & Dennis, Allen, 2013. "Long-term drivers of food prices," Policy Research Working Paper Series 6455, The World Bank.
    3. van Eyden, Reneé & Difeto, Mamothoana & Gupta, Rangan & Wohar, Mark E., 2019. "Oil price volatility and economic growth: Evidence from advanced economies using more than a century’s data," Applied Energy, Elsevier, vol. 233, pages 612-621.
    4. R. Quentin Grafton & Mahala McLindin & Karen Hussey & Paul Wyrwoll & Dennis Wichelns & Claudia Ringler & Dustin Garrick & Jamie Pittock & Sarah Wheeler & Stuart Orr & Nathanial Matthews & Erik Ansink , 2016. "Responding to Global Challenges in Food, Energy, Environment and Water: Risks and Options Assessment for Decision-Making," Asia and the Pacific Policy Studies, Wiley Blackwell, vol. 3(2), pages 275-299, May.
    5. Foster, Edward & Contestabile, Marcello & Blazquez, Jorge & Manzano, Baltasar & Workman, Mark & Shah, Nilay, 2017. "The unstudied barriers to widespread renewable energy deployment: Fossil fuel price responses," Energy Policy, Elsevier, vol. 103(C), pages 258-264.
    6. Taghizadeh-Hesary, Farhad & Rasoulinezhad, Ehsan & Yoshino, Naoyuki, 2019. "Energy and Food Security: Linkages through Price Volatility," Energy Policy, Elsevier, vol. 128(C), pages 796-806.
    Full references (including those not matched with items on IDEAS)

    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. Mustafa Tevfik Kartal & Özer Depren, 2023. "Asymmetric relationship between global and national factors and domestic food prices: evidence from Turkey with novel nonlinear approaches," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-24, December.
    2. Zakia Batool & Qurat ul Ain & Abdul Rehman, 2024. "Exploring the effects of farm mechanization, financial development, and renewable energy on China’s food production," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(7), pages 18883-18902, July.
    3. Rosiak, Ewa & Łopaciuk, Wiesław & Szajner, Piotr & Grochowska, Renata, 2014. "Global production of biofuels in the context of food security," Multiannual Program Reports 206005, Institute of Agricultural and Food Economics - National Research Institute (IAFE-NRI).
    4. John Baffes & Cristina Savescu, 2014. "Monetary conditions and metal prices," Applied Economics Letters, Taylor & Francis Journals, vol. 21(7), pages 447-452, May.
    5. Grzegorz Ślusarz & Barbara Gołębiewska & Marek Cierpiał-Wolan & Jarosław Gołębiewski & Dariusz Twaróg & Sebastian Wójcik, 2021. "Regional Diversification of Potential, Production and Efficiency of Use of Biogas and Biomass in Poland," Energies, MDPI, vol. 14(3), pages 1-20, January.
    6. Koh, Rachel & Kern, Jordan & Galelli, Stefano, 2022. "Hard-coupling water and power system models increases the complementarity of renewable energy sources," Applied Energy, Elsevier, vol. 321(C).
    7. Ingrid Boas & Frank Biermann & Norichika Kanie, 2016. "Cross-sectoral strategies in global sustainability governance: towards a nexus approach," International Environmental Agreements: Politics, Law and Economics, Springer, vol. 16(3), pages 449-464, June.
    8. Wang, Can & Zheng, Xinzhu & Cai, Wenjia & Gao, Xue & Berrill, Peter, 2017. "Unexpected water impacts of energy-saving measures in the iron and steel sector: Tradeoffs or synergies?," Applied Energy, Elsevier, vol. 205(C), pages 1119-1127.
    9. Sohag, Kazi & Sokhanvar, Amin & Belyaeva, Zhanna & Mirnezami, Seyed Reza, 2022. "Hydrocarbon prices shocks, fiscal stability and consolidation: Evidence from Russian Federation," Resources Policy, Elsevier, vol. 76(C).
    10. Lucia de Strasser, 2017. "Calling for Nexus Thinking in Africa’s Energy Planning," ESP: Energy Scenarios and Policy 263161, Fondazione Eni Enrico Mattei (FEEM).
    11. Dai, Jiangyu & Wu, Shiqiang & Han, Guoyi & Weinberg, Josh & Xie, Xinghua & Wu, Xiufeng & Song, Xingqiang & Jia, Benyou & Xue, Wanyun & Yang, Qianqian, 2018. "Water-energy nexus: A review of methods and tools for macro-assessment," Applied Energy, Elsevier, vol. 210(C), pages 393-408.
    12. Sang-Hyun Lee & Makoto Taniguchi & Rabi H. Mohtar & Jin-Yong Choi & Seung-Hwan Yoo, 2018. "An Analysis of the Water-Energy-Food-Land Requirements and CO 2 Emissions for Food Security of Rice in Japan," Sustainability, MDPI, vol. 10(9), pages 1-16, September.
    13. Loretta Mastroeni & Alessandro Mazzoccoli & Greta Quaresima & Pierluigi Vellucci, 2021. "Wavelet analysis and energy-based measures for oil-food price relationship as a footprint of financialisation effect," Papers 2104.11891, arXiv.org, revised Mar 2022.
    14. Zhuo Chen & Bo Yan & Hanwen Kang, 2022. "Dynamic correlation between crude oil and agricultural futures markets," Review of Development Economics, Wiley Blackwell, vol. 26(3), pages 1798-1849, August.
    15. Adeosun, Opeoluwa Adeniyi & Tabash, Mosab I. & Anagreh, Suhaib, 2022. "Oil price and economic performance: Additional evidence from advanced economies," Resources Policy, Elsevier, vol. 77(C).
    16. Sheng, Xin & Kim, Won Joong & Gupta, Rangan & Ji, Qiang, 2023. "The impacts of oil price volatility on financial stress: Is the COVID-19 period different?," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 520-532.
    17. Shahriyar Mukhtarov & Sannur Aliyev & Javid Zeynalov, 2020. "The Effects of Oil Prices on Macroeconomic Variables: Evidence from Azerbaijan," International Journal of Energy Economics and Policy, Econjournals, vol. 10(1), pages 72-80.
    18. Riza Demirer & Rangan Gupta & Jacobus Nel & Christian Pierdzioch, 2020. "Effect of Rare Disaster Risks on Crude Oil: Evidence from El Nino from Over 140 Years of Data," Working Papers 2020104, University of Pretoria, Department of Economics.
    19. Rasoulinezhad, Ehsan & Taghizadeh-Hesary, Farhad & Yoshino, Naoyuki & Sarker, Tapan, 2019. "Russian Federation–East Asia Liquefied Natural Gas Trade Patterns and Regional Energy Security," ADBI Working Papers 965, Asian Development Bank Institute.
    20. Tiziano Gomiero, 2016. "Soil Degradation, Land Scarcity and Food Security: Reviewing a Complex Challenge," Sustainability, MDPI, vol. 8(3), pages 1-41, March.

    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:gam:jsusta:v:14:y:2022:i:3:p:1255-:d:731297. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.