Integrating Commercial Greenhouses in the Smart Grid with Demand Response based Control of Supplemental Lighting

被引:0
|
作者
Clausen, A. [1 ]
Maersk-Moeller, H. M. [1 ]
Soerensen, Jan Corfixen [1 ]
Joergensen, B. N. [1 ]
Kjaer, K. H. [2 ]
Ottosen, C. O. [2 ]
机构
[1] Univ Southern Denmark, Ctr Smart Energy Solut, Odense, Denmark
[2] Aarhus Univ, Dept Food Sci, DK-8000 Aarhus C, Denmark
关键词
Energy Management System; Demand Response; Smart Grid; Demand Side Management; Climate control; Supplemental Light; Photosynthesis; Weather Forecast; Electricity Cost; Decision Support; Energy Saving;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In Northern Europe the production of ornamental pot plants in greenhouses requires use of supplemental light, as light is a restricting climatic factor for growth from late autumn until early spring. By participating in demand response programs such as real-time pricing, growers can schedule electricity consumption in hours where electricity prices are low, thus achieving savings in their electricity expenses. In this context we present a novel software system for dynamic control of supplemental lighting in greenhouses that aims at decreasing the electricity costs and energy consumption without loss in productivity. The software uses weather forecasts and electricity prices together with a photosynthesis model to compute energy and costefficient supplemental light plans, which fulfills the productivity goal defined by the grower. Experiments with different light control strategies revealed that electricity savings about 25% was possible without noticeable reductions in plant flowering and production time.
引用
收藏
页码:199 / 213
页数:15
相关论文
共 50 条
  • [21] A smart lighting system for greenhouses based on Narrowband-IoT communication
    Chang, Yung Sheng
    Chen, Yi Hsiung
    Zhou, Sheng Kai
    [J]. 2018 13TH INTERNATIONAL MICROSYSTEMS, PACKAGING, ASSEMBLY AND CIRCUITS TECHNOLOGY CONFERENCE (IMPACT), 2018, : 275 - 278
  • [22] On the Performance of Distributed and Cloud-Based Demand Response in Smart Grid
    Yaghmaee, Mohammad Hossein
    Leon-Garcia, Alberto
    Moghaddassian, Morteza
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2018, 9 (05) : 5403 - 5417
  • [23] A game strategy for demand response based on load monitoring in smart grid
    Cui, Feifei
    An, Dou
    Zhang, Gongyan
    [J]. FRONTIERS IN ENERGY RESEARCH, 2023, 11
  • [24] A Novel Microgrid based Resilient Demand Response Scheme in Smart Grid
    Yang, Xinyu
    He, Xiaofei
    Lin, Jie
    Yu, Wei
    Yang, Qingyu
    [J]. 2016 17TH IEEE/ACIS INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCE, NETWORKING AND PARALLEL/DISTRIBUTED COMPUTING (SNPD), 2016, : 337 - 342
  • [25] Demand Response Management Research Based on Cognitive Radio for Smart Grid
    Yang, Tingting
    Huang, Tiancong
    Zhang, Haifeng
    Li, Peiyi
    Xiong, Canyun
    Wu, Yucheng
    [J]. WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2020, 2020
  • [26] A review of residential demand response of smart grid
    Haider, Haider Tarish
    See, Ong Hang
    Elmenreich, Wilfried
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 59 : 166 - 178
  • [27] Smart grid: Implementing automated demand response
    [J]. 1600, American Institute of Chemical Engineers (110):
  • [28] The Review of Demand Response Programs in Smart Grid
    Zhang, Youyou
    Ma, Rui
    Xu, Ziheng
    [J]. ADVANCES IN POWER AND ELECTRICAL ENGINEERING, PTS 1 AND 2, 2013, 614-615 : 1800 - 1803
  • [29] Integrating Heterogenous Applications in Control Centers based on Smart Grid Concepts
    dos Santos, Tiago T.
    dos Santos, Lucas L.
    Farinon, Felipe G.
    Homma, Rafael Z.
    de Andrade, Rodrigo C.
    Khairalla, Igor K.
    Lemos, Flavio A. B.
    [J]. 2013 IEEE PES CONFERENCE ON INNOVATIVE SMART GRID TECHNOLOGIES (ISGT LATIN AMERICA), 2013,
  • [30] Demand Response with PHEV Discharge in Smart Grid
    Chen Si
    Zou Jianxiao
    Li Liying
    [J]. 2013 32ND CHINESE CONTROL CONFERENCE (CCC), 2013, : 2574 - 2579