Facility and microgrid location-allocation for integrated supply chain and transactive energy operations

被引:5
作者
Li, Honglin [1 ]
Jin, Tongdan [1 ]
Novoa, Clara [1 ]
机构
[1] Texas State Univ, Ingram Sch Engn, San Marcos, TX 78666 USA
基金
美国国家科学基金会;
关键词
Location and allocation; Supply chain network design; Transactive energy; Microgrid siting and sizing; Prosumer economy; BENDERS DECOMPOSITION; UNCERTAIN DEMAND; NETWORK; MODEL; MANAGEMENT; ALGORITHM; DESIGN; OPTIMIZATION; INVENTORY;
D O I
10.1016/j.apm.2023.02.014
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Supply chain network design usually focuses on the uncertainties in materials, capacity, yield, and demand. However, the challenges of prosumer energy integration are not adequately addressed. This paper proposes an integrated facility and microgrid location-allocation model for achieving low-carbon supply chain operations at the nexus of manufacturing, renewables, and climate. The model strategically locates the site for establishing factories, warehouses, and microgrids subject to product demand and energy supply uncertainty. The model further allocates production, inventory, transportation, generation, and energy transactions to lower the net supply chain cost. The study represents a first-of-its-kind in jointly siting and sizing industrial facilities and prosumer microgrids under a unified optimization framework. The proposed model is implemented in a three-tier production supply chain network over a one-year period, covering the US pacific region with broad climate conditions. Numerical experiments show that transactive energy, time-of-use tariff, and climate conditions play a critical role in locating factories, warehouses, wind turbines, solar photovoltaics, and energy storage systems. Since transactive energy market brings new revenue stream, locations with stronger renewables become competitive to establish facilities despite of higher fixed and logistics cost. Contrary to the intuition, energy storage systems, which balance the intermittent power and uncertain load, have limited benefits to the cost saving. (c) 2023 Elsevier Inc. All rights reserved.
引用
收藏
页码:119 / 136
页数:18
相关论文
共 49 条
  • [1] A multi-objective facility location model for closed-loop supply chain network under uncertain demand and return
    Amin, Saman Hassanzadeh
    Zhang, Guoqing
    [J]. APPLIED MATHEMATICAL MODELLING, 2013, 37 (06) : 4165 - 4176
  • [2] A multi-site production and microgrid planning model for net-zero energy operations
    An Pham
    Jin, Tongdan
    Novoa, Clara
    Qin, Jin
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2019, 218 : 260 - 274
  • [3] Supply chain management 1982-2015: a review
    Asgari, Nasrin
    Nikbakhsh, Ehsan
    Hill, Alex
    Farahani, Reza Zanjirani
    [J]. IMA JOURNAL OF MANAGEMENT MATHEMATICS, 2016, 27 (03) : 353 - 379
  • [4] A swarm intelligence based sample average approximation algorithm for the capacitated reliable facility location problem
    Aydin, Nezir
    Murat, Alper
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2013, 145 (01) : 173 - 183
  • [5] Caunhye A. M., 2012, SOCIOECONOMIC PLANNI, V46, P4, DOI [10.1016/j.seps.2011.04.004, DOI 10.1016/J.SEPS.2011.04.004]
  • [6] LOCATION-ALLOCATION PROBLEMS
    COOPER, L
    [J]. OPERATIONS RESEARCH, 1963, 11 (03) : 331 - 343
  • [7] Cornuejols G., 1990, DISCRETE LOCATION TH, P119
  • [8] Daskin M., 2005, Logistics Systems: Design and Optimization, P39, DOI [10.1007/0-387-24977-X2, DOI 10.1007/0-387-24977-X_2]
  • [9] A typology and literature review on stochastic multi-echelon inventory models
    de Kok, Ton
    Grob, Christopher
    Laumanns, Marco
    Minner, Stefan
    Rambau, Joerg
    Schade, Konrad
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2018, 269 (03) : 955 - 983
  • [10] Multi-product and multi-period closed loop supply chain network design under take-back legislation
    Diabat, Ali
    Jebali, Aida
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2021, 231