Flexibility of electric vehicles and space heating in net zero energy houses: an optimal control model with thermal dynamics and battery degradation

被引:77
作者
Salpakari, Jyri [1 ]
Rasku, Topi [1 ]
Lindgren, Juuso [1 ]
Lund, Peter D. [1 ]
机构
[1] Aalto Univ, Dept Appl Phy, New Energy Technol Group, P.O. Box 15100, FI-00076 Espoo, Finland
基金
芬兰科学院;
关键词
Energy management; Net zero energy; Photovoltaics; Electric vehicles; Space heating load control; Linear programming; DEMAND-SIDE MANAGEMENT; LINEAR-PROGRAMMING APPROACH; RENEWABLE ENERGY; ANCILLARY SERVICE; SELF-CONSUMPTION; ION BATTERIES; LOAD CONTROL; OPTIMIZATION; MICROGRIDS; STRATEGIES;
D O I
10.1016/j.apenergy.2017.01.005
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
With the increasing penetration of distributed renewable energy generation and dynamic electricity pricing schemes, applications for residential demand side management are becoming more appealing. In this work, we present an optimal control model for studying the economic and grid interaction benefits of smart charging of electric vehicles (EV), vehicle-to-grid, and space heating load control for residential houses with on-site photovoltaics (PV). A case study is conducted on 1-10 net zero energy houses with detailed empirical data, resulting in 8-33% yearly electricity cost savings per household with various electric vehicle and space heating system combinations. The self-consumption of PV is also significantly increased. Additional benefits through increasing the, number of cooperating households are minor and saturate already at around 3-5 households. Permitting electricity transfer between the houses and EV charging stations at workplaces increases self-sufficiency significantly, but it provides limited economic benefit. The additional cost savings from vehicle-to-grid compared to smart charging are minor due to increased battery degradation, despite a significant self-sufficiency increase. If the optimization is conducted without taking the battery degradation cost into account, the added monetary value of vehicle-to-grid can even be negative due to the unmanaged degradation. Neglecting battery degradation completely leads to overestimation of the vehicle-to-grid cost benefit. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:800 / 812
页数:13
相关论文
共 91 条
[1]  
Abramowski L, 2007, RES 2005 2006 NATL T
[2]   Optimizing Load Control in a Collaborative Residential Microgrid Environment [J].
Ahmadi, Majid ;
Rosenberger, Jay M. ;
Lee, Wei-Jen ;
Kulvanitchaiyanunt, Asama .
IEEE TRANSACTIONS ON SMART GRID, 2015, 6 (03) :1196-1207
[4]   A User-centric Demand Response Framework for Residential Heating, Ventilation, and Air-conditioning Load Management [J].
Ali, Mubbashir ;
Jokisalo, Juha ;
Siren, Kai ;
Safdarian, Amir ;
Lehtonen, Matti .
ELECTRIC POWER COMPONENTS AND SYSTEMS, 2016, 44 (01) :99-109
[5]   Future generations of cathode materials: an automotive industry perspective [J].
Andre, Dave ;
Kim, Sung-Jin ;
Lamp, Peter ;
Lux, Simon Franz ;
Maglia, Filippo ;
Paschos, Odysseas ;
Stiaszny, Barbara .
JOURNAL OF MATERIALS CHEMISTRY A, 2015, 3 (13) :6709-6732
[6]  
[Anonymous], 2015, EUR HEAT PUMP MARK S
[7]   State of the art of thermal storage for demand-side management [J].
Arteconi, A. ;
Hewitt, N. J. ;
Polonara, F. .
APPLIED ENERGY, 2012, 93 :371-389
[8]   Thermal energy storage coupled with PV panels for demand side management of industrial building cooling loads [J].
Arteconi, Alessia ;
Ciarrocchi, Eleonora ;
Pan, Quanwen ;
Carducci, Francesco ;
Comodi, Gabriele ;
Polonara, Fabio ;
Wang, Ruzhu .
APPLIED ENERGY, 2017, 185 :1984-1993
[9]   Model predictive HVAC load control in buildings using real-time electricity pricing [J].
Avci, Mesut ;
Erkoc, Murat ;
Rahmani, Amir ;
Asfour, Shihab .
ENERGY AND BUILDINGS, 2013, 60 :199-209
[10]  
Bates J, 2012, TECH REP