Development of a biogas distribution model for a wastewater treatment plant: a mixed integer linear programming approach

被引:2
|
作者
Laing, Harry [1 ]
O'Malley, Chris [1 ]
Browne, Anthony [2 ]
Rutherford, Tony [2 ]
Baines, Tony [2 ]
Willis, Mark J. [1 ]
机构
[1] Newcastle Univ, Sch Engn, Merz Court, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England
[2] Northumbrian Water Ltd, Northumbria House,Abbey Rd, Durham DH1 5FJ, England
基金
英国工程与自然科学研究理事会;
关键词
advanced anaerobic digestion; biomethane; gas distribution; MILP; optimisation; wastewater; AIR SEPARATION UNIT; ENERGY; OPTIMIZATION; OPERATION; HEAT;
D O I
10.2166/wst.2020.363
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In this paper, we propose a realistic model for gas distribution of an advanced municipal wastewater treatment works and through minimisation of the total cost of gas distribution we perform retrospective optimisation (RO) using historical plant data. This site is the first in the UK with a mixed operational strategy for biomethane produced on site: to burn in combined heat and power (CHP) engines to create electricity, burn in steam boilers for onsite steam use or inject the biomethane into the National Grid. In addition, natural gas can be imported to make up shortfalls in biomethane if required. Implemented using a novel mixed integer linear programming (MILP) approach, to ensure a fast and robust solution, our results indicate the plant operated optimally within accepted tolerance 98% of the time. However, improving plant robustness (such as reducing unexpected breakdown incidents) could yield a significant increase in gas revenue of 7.8%.
引用
收藏
页码:2761 / 2775
页数:15
相关论文
共 50 条
  • [21] Optimizing invasive species management: A mixed-integer linear programming approach
    Kibis, Eyyub Y.
    Buyuktahtakin, I. Esra
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2017, 259 (01) : 308 - 321
  • [22] A mixed-integer linear programming model for optimizing green hydrogen supply chain networks
    Camelo, Mirella Martins
    Andrade, Carla Freitas de
    Prata, Bruno de Athayde
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2025, 118 : 134 - 145
  • [23] Realistic modeling of a combined heat and power plant in the context of mixed integer linear programming
    Weber T.
    Strobel N.
    Kohne T.
    Wolber J.
    Abele E.
    Energy Informatics, 1 (Suppl 1) : 285 - 293
  • [24] Model Predictive Control of Central Chiller Plant With Thermal Energy Storage Via Dynamic Programming and Mixed-Integer Linear Programming
    Deng, Kun
    Sun, Yu
    Li, Sisi
    Lu, Yan
    Brouwer, Jack
    Mehta, Prashant G.
    Zhou, MengChu
    Chakraborty, Amit
    IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2015, 12 (02) : 565 - 579
  • [25] A Mixed Integer Linear Programming model for simultaneous design and scheduling of flowshop plants
    Fumero, Yanina
    Corsano, Gabriela
    Montagna, Jorge M.
    APPLIED MATHEMATICAL MODELLING, 2013, 37 (04) : 1652 - 1664
  • [26] Holistic Approach for Design of Minimum Water Networks Using the Mixed Integer Linear Programming (MILP) Technique
    Handani, Zainatul B.
    Alwi, Sharifah R. Wan
    Hashim, Haslenda
    Manan, Zainuddin A.
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2010, 49 (12) : 5742 - 5751
  • [27] Mixed Integer Linear Programming for Carrier Optimization in Wireless Localization Networks
    Yuan, Peng
    Zhang, Tingting
    2017 IEEE/CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA (ICCC), 2017, : 832 - 837
  • [28] Matheuristic approach and a mixed-integer linear programming model for biomass supply chain optimization with demand selection
    Abdel-Aal, Mohammad A. M.
    INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING COMPUTATIONS, 2024, 15 (01) : 235 - 254
  • [29] A mixed integer non-linear programming model for tactical value chain optimization of a wood biomass power plant
    Shabani, Nazanin
    Sowlati, Taraneh
    APPLIED ENERGY, 2013, 104 : 353 - 361
  • [30] Optimal Operational Adjustment of a Community-Based Off-Grid Polygeneration Plant using a Fuzzy Mixed Integer Linear Programming Model
    Ubando, Aristotle T.
    Marfori, Isidro Antonio V., III
    Aviso, Kathleen B.
    Tan, Raymond R.
    ENERGIES, 2019, 12 (04):