TY - JOUR
T1 - Heuristic battery-protective strategy for energy management of an interactive renewables–buildings–vehicles energy sharing network with high energy flexibility
AU - Zhou, Yuekuan
AU - Cao, Sunliang
AU - Hensen, Jan L.M.
AU - Hasan, Ala
N1 - Funding Information:
This research is supported by the HK RGC (Hong Kong Research Grants Council) Research Project 25215618 (The optimal transitions from interactively-isolated systems to mutually-integrated unity between zero-energy building(s) and zero-energy vehicle(s)).
Funding Information:
This research is supported by the HK RGC (Hong Kong Research Grants Council) Research Project 25215618 (The optimal transitions from interactively-isolated systems to mutually-integrated unity between zero-energy building(s) and zero-energy vehicle(s)).
Publisher Copyright:
© 2020 Elsevier Ltd
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020
Y1 - 2020
N2 - Interactive energy sharing networks with centralised coordinated energy management between buildings and vehicles can increase eco-economics viability, while tracking battery degradations is critical to the assessment of techno-economic performance and energy flexibility. In this study, a mathematical model was developed to characterise the cycling aging of electrochemical battery storage in multidirectional interactions within interactive renewables–buildings–vehicles energy sharing networks, with classification of the cycle life into two groups (slow degradation zone and acceleration zone). An advanced battery-protective energy control strategy was developed that fully utilises inherent battery depreciation characteristics for flexible energy management. Multi-criteria were investigated, including equivalent CO2 emissions, import cost, energy flexibility, and the equivalent relative capacity of battery storage. With respect to the advanced battery-protective energy control strategy, the grid-battery charging process can decrease the depth of discharge and thus slow down the battery depreciation rate, but it will also lead to an increase in the number of cycles along with cycling aging. The research results show that, in terms of cycling aging, the single-variable mathematical fitting method with piecewise fitting curves (correlation coefficient of 0.9807) is more accurate than the bivariate mathematical fitting method (correlation coefficient of 0.9206). In addition, the proposed battery-protective control strategy can contribute to multi-criteria improvement. Furthermore, robust solutions for relative capacity improvement have been proposed with a lower limitation of fractional state of charge at 0.7. This study formulated a synergistic interactive energy framework for flexible district energy management, involving complementary solar-wind renewable systems, static and mobile battery storage, diversified energy demands in district buildings, and an advanced battery-protective energy management strategy, which can provide technical guidance to designers, operators, and stakeholders in terms of flexible participation in smart and resilient district energy networks.
AB - Interactive energy sharing networks with centralised coordinated energy management between buildings and vehicles can increase eco-economics viability, while tracking battery degradations is critical to the assessment of techno-economic performance and energy flexibility. In this study, a mathematical model was developed to characterise the cycling aging of electrochemical battery storage in multidirectional interactions within interactive renewables–buildings–vehicles energy sharing networks, with classification of the cycle life into two groups (slow degradation zone and acceleration zone). An advanced battery-protective energy control strategy was developed that fully utilises inherent battery depreciation characteristics for flexible energy management. Multi-criteria were investigated, including equivalent CO2 emissions, import cost, energy flexibility, and the equivalent relative capacity of battery storage. With respect to the advanced battery-protective energy control strategy, the grid-battery charging process can decrease the depth of discharge and thus slow down the battery depreciation rate, but it will also lead to an increase in the number of cycles along with cycling aging. The research results show that, in terms of cycling aging, the single-variable mathematical fitting method with piecewise fitting curves (correlation coefficient of 0.9807) is more accurate than the bivariate mathematical fitting method (correlation coefficient of 0.9206). In addition, the proposed battery-protective control strategy can contribute to multi-criteria improvement. Furthermore, robust solutions for relative capacity improvement have been proposed with a lower limitation of fractional state of charge at 0.7. This study formulated a synergistic interactive energy framework for flexible district energy management, involving complementary solar-wind renewable systems, static and mobile battery storage, diversified energy demands in district buildings, and an advanced battery-protective energy management strategy, which can provide technical guidance to designers, operators, and stakeholders in terms of flexible participation in smart and resilient district energy networks.
KW - Battery Degradation
KW - Battery-protective Strategy
KW - Energy Flexibility
KW - Energy Management System
KW - Interactive Energy Sharing Network
KW - Vehicles Fleet Integration
UR - http://www.scopus.com/inward/record.url?scp=85084094106&partnerID=8YFLogxK
U2 - 10.1016/j.enconman.2020.112891
DO - 10.1016/j.enconman.2020.112891
M3 - Article
AN - SCOPUS:85084094106
SN - 0196-8904
VL - 214
JO - Energy Conversion and Management
JF - Energy Conversion and Management
M1 - 112891
ER -