Multi-Dimensional Economy-Durability Optimization Method for Integrated Energy and Transportation System of Net-Zero Energy Buildings

With the increasing penetration of renewable energy and zero-emission vehicles (ZEVs), the integrated energy and transportation system (IETS) is considered a promising solution for achieving net-zero energy buildings (NZEBs). However, the tight coupling and the conflict of interests between the tran...

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Published inIEEE transactions on sustainable energy Vol. 15; no. 1; pp. 146 - 159
Main Authors Li, Luoyi, Han, Ying, Li, Qi, Chen, Weirong
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 01.01.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN1949-3029
1949-3037
DOI10.1109/TSTE.2023.3275160

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Abstract With the increasing penetration of renewable energy and zero-emission vehicles (ZEVs), the integrated energy and transportation system (IETS) is considered a promising solution for achieving net-zero energy buildings (NZEBs). However, the tight coupling and the conflict of interests between the transportation and energy systems increase the difficulty of collaborative operation scheduling. Therefore, this article proposes a multi-dimensional economy-durability (MDED) optimization method for IETS of NZEBs. The multidimensionality includes multiple subjects of energy, transportation, and IETS, and multiple time scales of day-ahead and intraday. In the day-ahead stage, the comprehensive cost-optimal scheduling strategy with joint intelligent parking lot (IPL) is constructed for the collaborative operation of IETS. In the intraday stage, two scheduling strategies are applied to satisfy the operation of the transportation and energy systems, respectively. For the transportation system, a coordinated scheduling strategy based on charging service satisfaction (CSS) is presented to coordinate ZEVs demands with diverse vehicle types and service manners. And for the energy system, a rolling optimization strategy based on a dynamic economy-health matrix (DEHM) is designed to track the day-ahead scheduling plan. The results indicate that the proposed method resolves the conflict between the charging needs and the comprehensive cost of the IETS system. In addition, the economic potential and coordination capability of fast charging services in IETS coordinated scheduling are verified. Finally, the proposed DEHM has significant advantages for the system cost and health compared to the conventional weighting matrix.
AbstractList With the increasing penetration of renewable energy and zero-emission vehicles (ZEVs), the integrated energy and transportation system (IETS) is considered a promising solution for achieving net-zero energy buildings (NZEBs). However, the tight coupling and the conflict of interests between the transportation and energy systems increase the difficulty of collaborative operation scheduling. Therefore, this article proposes a multi-dimensional economy-durability (MDED) optimization method for IETS of NZEBs. The multidimensionality includes multiple subjects of energy, transportation, and IETS, and multiple time scales of day-ahead and intraday. In the day-ahead stage, the comprehensive cost-optimal scheduling strategy with joint intelligent parking lot (IPL) is constructed for the collaborative operation of IETS. In the intraday stage, two scheduling strategies are applied to satisfy the operation of the transportation and energy systems, respectively. For the transportation system, a coordinated scheduling strategy based on charging service satisfaction (CSS) is presented to coordinate ZEVs demands with diverse vehicle types and service manners. And for the energy system, a rolling optimization strategy based on a dynamic economy-health matrix (DEHM) is designed to track the day-ahead scheduling plan. The results indicate that the proposed method resolves the conflict between the charging needs and the comprehensive cost of the IETS system. In addition, the economic potential and coordination capability of fast charging services in IETS coordinated scheduling are verified. Finally, the proposed DEHM has significant advantages for the system cost and health compared to the conventional weighting matrix.
Author Han, Ying
Li, Luoyi
Chen, Weirong
Li, Qi
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SubjectTerms Batteries
Carbon emissions
Charging
Collaboration
Conflicts of interest
Costs
Degradation
Durability
Economics
Energy
Fast charging
Fast charging service
Green buildings
Hydrogen
integrated energy and transportation systems
Net zero
net-zero energy buildings
Operation scheduling
Optimal scheduling
Optimization
Renewable energy
Scheduling
Transportation
Transportation systems
zero-emission vehicles
Title Multi-Dimensional Economy-Durability Optimization Method for Integrated Energy and Transportation System of Net-Zero Energy Buildings
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