Virtual EP: a simulator of multi-agents-based virtual plant growth in response to environmental heterogeneity

被引:1
|
作者
Qu, H. [1 ,2 ]
Zhu, Q. [1 ]
Fu, H. [1 ]
Lu, Z. [3 ]
机构
[1] Chongqing Univ, Chongqing 400044, Peoples R China
[2] Iowa State Univ, Ames, IA USA
[3] Chongqing Agr Sci Inst, Chongqing, Peoples R China
基金
中国国家自然科学基金;
关键词
virtual plants; agent-based modelling; matter transport; simulation; eggplant; CELLULAR-AUTOMATA; NITROGEN STRESS; MODEL; ARCHITECTURE; TREES; MORPHOGENESIS; ECOMERISTEM; ARABIDOPSIS; COMPETITION; VALIDATION;
D O I
10.1057/jos.2010.4
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper presents VirtualEP, a novel simulator for eggplant growth, integrating Agent-Based Modelling technology and existing knowledge of plant physiology. VirtualEP simulates the growth and development of eggplant as an evolution of a dynamic branching network whose nodes are represented by Autonomous Virtual Organs (AVOs). The AVO possesses inbuilt data structure, states and functional rules so that it can autonomously perform physiological procedures (eg photosynthesis, nutrient uptake, storage, mobilization and respiration, etc) to respond to environmental heterogeneity. A discrete implementation of pressure-flow paradigm is incorporated to simulate carbon, water and nitrogen transport and allocation among AVOs. Simulation results demonstrate that VirtualEP can effectively deal with global nutrients allocation, growth in response to variation of air temperature, solar radiation as well as water and nitrogen stress. Moreover, VirtualEP can also provide vivid 3D visualization of these features.
引用
收藏
页码:181 / 195
页数:15
相关论文
共 13 条
  • [1] A framework for multi-objective optimization of virtual tree pruning based on growth simulation
    Strnad, Damjan
    Kohek, Stefan
    Benes, Bedrich
    Kolmanic, Simon
    Zalik, Borut
    EXPERT SYSTEMS WITH APPLICATIONS, 2020, 162
  • [2] Urban virtual power plant operation optimization with incentive-based demand response
    Zhou, Kaile
    Peng, Ning
    Yin, Hui
    Hu, Rong
    ENERGY, 2023, 282
  • [3] Coordinated multi-objective scheduling of a multi-energy virtual power plant considering storages and demand response
    Olanlari, Farzin Ghasemi
    Amraee, Turaj
    Moradi-Sepahvand, Mojtaba
    Ahmadian, Ali
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2022, 16 (17) : 3539 - 3562
  • [4] Optimal aggregation of a virtual power plant based on a distribution-level market with the participation of bounded rational agents
    Liu, Xin
    Huang, Tao
    Qiu, Haifeng
    Li, Yang
    Lin, Xueshan
    Shi, Jianxiong
    APPLIED ENERGY, 2024, 364
  • [5] Probabilistic prediction-based multi-objective optimization approach for multi-energy virtual power plant
    Li, Gangqiang
    Zhang, Rongquan
    Bu, Siqi
    Zhang, Junming
    Gao, Jinfeng
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2024, 161
  • [6] Multi-time Scale Simulation of Optimal Scheduling Strategy for Virtual Power Plant Considering Load Response
    Chao, Huang
    Quan, Ding
    Yang, Tong
    2018 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON), 2018, : 2142 - 2148
  • [7] A data mining-driven incentive-based demand response scheme for a virtual power plant
    Luo, Zhe
    Hong, SeungHo
    Ding, YueMin
    APPLIED ENERGY, 2019, 239 : 549 - 559
  • [8] A risk-based multi-objective energy scheduling and bidding strategy for a technical virtual power plant
    Ghanuni, Ahmad
    Sharifi, Reza
    Farahani, Hassan Feshki
    ELECTRIC POWER SYSTEMS RESEARCH, 2023, 220
  • [9] Stochastic profit-based scheduling of industrial virtual power plant using the best demand response strategy
    Nosratabadi, Seyyed Mostafa
    Hooshmand, Rahmat-Allah
    Gholipour, Eskandar
    APPLIED ENERGY, 2016, 164 : 590 - 606
  • [10] AUGMECON2-based multi-objective optimization of virtual power plant considering economical and security operation of the distribution networks
    Yan, Xingyu
    Gao, Ciwei
    Song, Meng
    Rizwan, Mian
    SUSTAINABLE ENERGY GRIDS & NETWORKS, 2024, 38