Unlocking residential Energy Flexibility on a large scale through a newly standardized interface

被引:0
|
作者
Konsman, Mente J. [1 ]
Wijbrandi, Wilco E. [1 ]
Huitema, George B. [2 ]
机构
[1] TNO, Groningen, Netherlands
[2] Univ Groningen, TNO, Groningen, Netherlands
基金
欧盟地平线“2020”;
关键词
Energy Flexibility; Interoperability; Standardization; Demand Response;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Energy Flexibility is the ability of smart devices to deviate from their normal energy producing or consuming behaviour, while still fulfilling their intended purpose, with the goal of contributing to the operation of the energy system. Energy Flexibility has the potential to counteract the mismatch between production and consumption of energy as well as solving congestion problems in the grid therefore increasing the resilience of the energy system. There are many systems for utilizing and coordinating Energy Flexibility, varying in complexity, used incentives and technology. In this article, the Energy Flexibility Interface (EFI) is proposed. This interface, positioned between device and Energy Flexibility utilization system, provides a generic language for Energy Flexibility. The interface allows any device providing Energy Flexibility to work with any Energy Flexibility utilization system. Hence, Energy Flexibility can be utilized on a large scale while reducing implementation efforts and creating a level playing field for both devices and Energy Flexibility utilization systems. EFI is demonstrated in a dozen pilot projects and forms the basis of a European prestandard.
引用
收藏
页数:5
相关论文
共 50 条
  • [41] Data-driven modelling of energy demand response behaviour based on a large-scale residential trial
    Antonopoulos, Ioannis
    Robu, Valentin
    Couraud, Benoit
    Flynn, David
    ENERGY AND AI, 2021, 4
  • [42] Analysis of large-scale energy retrofit of residential buildings and their impact on the electricity grid using a validated UBEM
    Johari, F.
    Lindberg, O.
    Ramadhani, U. H.
    Shadram, F.
    Munkhammar, J.
    Widen, J.
    APPLIED ENERGY, 2024, 361
  • [43] Large-Scale Residential Energy Maps: Estimation, Validation and Visualization Project SUNSHINE - Smart Urban Services for Higher Energy Efficiency
    di Staso, Umberto
    Giovannini, Luca
    Berti, Marco
    Prandi, Federico
    Cipriano, Piergiorgio
    De Amicis, Raffaele
    DATA MANAGEMENT TECHNOLOGIES AND APPLICATIONS, DATA 2014, 2015, 178 : 28 - 44
  • [44] Performance Evaluation of Integrated Smart Energy Solutions Through Large-Scale Simulations
    Song, Terence
    Kaleshi, Dritan
    Zhou, Ran
    Boudeville, Olivier
    Ma, Jing-Xuan
    Pelletier, Aude
    Haddadi, Idir
    2011 IEEE INTERNATIONAL CONFERENCE ON SMART GRID COMMUNICATIONS (SMARTGRIDCOMM), 2011,
  • [45] Flexibility requirement for large-scale renewable energy integration in Indian power system: Technology, policy and modeling options
    Das, Partha
    Mathuria, Parul
    Bhakar, Rohit
    Mathur, Jyotirmay
    Kanudia, Amit
    Singh, Anoop
    ENERGY STRATEGY REVIEWS, 2020, 29
  • [46] Multi-level optimal dispatch strategy and profit-sharing mechanism for unlocking energy flexibilities of non-residential building clusters in electricity markets of multiple flexibility services
    Tang, Hong
    Wang, Shengwei
    RENEWABLE ENERGY, 2022, 201 : 35 - 45
  • [47] Calibrating the building energy model with the short term monitored data A case study of a large-scale residential building
    Tuysuz, Fatih
    Sozer, Hatice
    ENERGY AND BUILDINGS, 2020, 224
  • [48] Energy Intensity Reduction in Large-Scale Non-Residential Buildings by Dynamic Control of HVAC with Heat Pumps
    Franco, Alessandro
    Miserocchi, Lorenzo
    Testi, Daniele
    ENERGIES, 2021, 14 (13)
  • [49] A method for optimal operation of HVAC with heat pumps for reducing the energy demand of large-scale non residential buildings
    Franco, Alessandro
    Miserocchi, Lorenzo
    Testi, Daniele
    JOURNAL OF BUILDING ENGINEERING, 2021, 43
  • [50] Dynamic programming-based energy storage siting and sizing: Application to enhance flexibility of large-scale power grid
    Zhao, Yucan
    Bi, Yue
    Xu, Yao
    Gao, Yuan
    Hu, Sile
    Guo, Yu
    Yang, Jiaqiang
    JOURNAL OF ENERGY STORAGE, 2025, 106