Multi-objective optimization of battery capacity of grid-connected PV-BESS system in hybrid building energy sharing community considering time-of-use tariff

Chen, Xi; Liu, Zhongbing; Wang, Pengcheng; Li, Benjia; Liu, Ruimiao; Zhang, Ling; Zhao, Chengliang; Luo, Songqin

doi:10.1016/j.apenergy.2023.121727

Cited by 23 publications

(1 citation statement)

References 29 publications

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“…These two factors impact the diversity of energy input scenario types for energy models in the design phase, in uenced by various geographical, sociological, and psychological considerations. Current studies have considered that the uncertainties of the community design layer signi cantly impact on the overall economic and environmental bene ts of the community 20,21 . Thus, energy models must integrate detailed community design layers into energy planning.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic deployment pathways of scaling up distributed green hydrogen systems for urban residential communities in North America

Zhong,

2024

Preprint

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In the context of the firm and enthusiastic development of renewable-based distributed energy systems, high-profit household collaboration strategies are widely recognized as essential for scaling up decentralized green hydrogen systems in urban residential communities. Here we develop bottom-up energy models linking climate, human behavior, and community characteristics to assess the cost-effective impacts of system deployment pathways on community green hydrogen systems for 7 North American climate zones in the 2030 ~ 2050 periods. Despite lower energy costs in moderate climate zones compared to hot and cold zones, a consistent pattern in deployment pathway impacts on costs is observed across all zones. The study underscores the critical role of selecting the right deployment pathway for urban decarbonization, with potential cost discrepancies of up to 60% between optimal and suboptimal options. Furthermore, energy storage demands significantly influence energy costs, emphasizing the need to prioritize increased energy storage in pathway design.

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Section: Introductionmentioning

confidence: 99%