Multi-objective optimisation of constrained food-energy-water-nexus systems for sustainable resource allocation

被引:27
作者
Ogbolumani, Omolola A. [1 ]
Nwulu, Nnamdi I. [1 ]
机构
[1] Univ Johannesburg, Dept Elect & Elect Engn Sci, ZA-2006 Auckland Pk, South Africa
关键词
Food-energy-water-nexus; Food security; Land use allocation; Multi-objective optimisation; Renewable energies; Sustainable development; SECURITY; SCENARIOS; MODEL;
D O I
10.1016/j.seta.2020.100967
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The rising demand for food, energy and water amidst depleting supplies and increased environmental degradation is a significant problem in today's world. The concerted occurrence of climate change, human hostilities, poverty increase in several countries and a pandemic outbreak have all contributed to the global challenge of food insecurity. Sustainable management of the three essential resources requires a paradigm shift from a singular and separate approach where each of the resources is independently treated to a multi-dimensional approach that recognises the interconnectedness of the resources, referred to as the Food-energy-water-nexus (FEW-N). A critical and holistic study of optimum interconnections in the FEW-N within social, environmental and economic framework is required. The paper leverages on multi-objective sustainable land use allocation models, integrated with energy and water resource allocation challenges in the food sector, taking cognisance of the FEW-N. Result validation was carried out under different scenarios within the South African context. The results demonstrate the robustness of the developed optimisation framework in introducing optimality amongst multiple objectives while exploring the trade-offs amidst competitions. Furthermore, results show that sustainable management of territorial and natural resources enhances food security amidst depletion of resources.
引用
收藏
页数:11
相关论文
共 50 条
  • [31] Optimisation of a sustainable manufacturing system design using the multi-objective approach
    Nujoom, Reda
    Wang, Qian
    Mohammed, Ahmed
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2018, 96 (5-8) : 2539 - 2558
  • [32] A Multi-objective Approach for Transboundary River Water Allocation
    R. Roozbahani
    B. Abbasi
    S. Schreider
    A. Ardakani
    Water Resources Management, 2014, 28 : 5447 - 5463
  • [33] A Multi-objective Approach for Transboundary River Water Allocation
    Roozbahani, R.
    Abbasi, B.
    Schreider, S.
    Ardakani, A.
    WATER RESOURCES MANAGEMENT, 2014, 28 (15) : 5447 - 5463
  • [34] Food, Energy and Water Nexus: An Urban Living Laboratory Development for Sustainable Systems Transition
    Soares Dal Poz, Maria Ester
    de Arruda Ignacio, Paulo Sergio
    Azevedo, Anibal
    Francisco, Erika Cristina
    Piolli, Alessandro Luis
    da Silva, Gabriel Gheorghiu
    Ribeiro, Thais Pereira
    SUSTAINABILITY, 2022, 14 (12)
  • [35] Sustainable energy, water and food nexus systems: A focused review of decision-making tools for efficient resource management and governance
    Namany, Sarah
    Al-Ansari, Tareq
    Govindan, Rajesh
    JOURNAL OF CLEANER PRODUCTION, 2019, 225 : 610 - 626
  • [36] Multi-objective optimisation of hybrid power systems under uncertainties
    Lee, Jui-Yuan
    Aviso, Kathleen B.
    Tan, Raymond R.
    ENERGY, 2019, 175 : 1271 - 1282
  • [37] Multi-objective Optimisation of Power Restoration in Electricity Distribution Systems
    Mendes, Alexandre
    Boland, Natashia
    AI 2011: ADVANCES IN ARTIFICIAL INTELLIGENCE, 2011, 7106 : 779 - +
  • [38] Multi-objective worker allocation optimisation in a multiple U-line system
    Chutima, Parames
    Chimrakhang, Jurairat
    ASSEMBLY AUTOMATION, 2021, 41 (04) : 466 - 476
  • [39] A multi-objective optimization for resource allocation of emergent demands in cloud computing
    Chen, Jing
    Du, Tiantian
    Xiao, Gongyi
    JOURNAL OF CLOUD COMPUTING-ADVANCES SYSTEMS AND APPLICATIONS, 2021, 10 (01):
  • [40] Multi-objective Optimization of Urban Water Allocation Considering Recycled Water
    Chen, Siwei
    Xu, Yue-Ping
    Guo, Yuxue
    Yu, Xinting
    WATER RESOURCES MANAGEMENT, 2025, : 2615 - 2631