气候变化领域集成服务门户(CCPortal): Energy storage technologies as techno-economic parameters for master-planning and optimal dispatch in smart multi energy systems

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DOI	10.1016/j.apenergy.2019.113682
	Energy storage technologies as techno-economic parameters for master-planning and optimal dispatch in smart multi energy systems
	Mazzoni S.; Ooi S.; Nastasi B.; Romagnoli A.
发表日期	2019
ISSN	3062619
卷号	254
英文摘要	Smart multi-energy systems based on distributed polygeneration power plants have gained increasing attention for having shown the capability of significant primary energy savings and reduced CO2 pollutant emissions due to the high renewable energy sources penetration. Compared to the traditional power plants, the large variability in the end-user demands (electricity, heat and cold energy), coupled with the uncertainty in the solar and wind energy availability, require the adoption of energy storage systems for dampening the intermittency problems and for performing peak shaving. In a multi-energy system, energy storage technologies typically exist in the form of electrochemical energy and thermal energy storage. Costs and technological limits of energy storage systems are the key parameters that influence the optimal design and operation of the system. In this paper, by adopting an in-house developed simulation tool (©E-OPT) based on mixed integer quadratic programming, a sensitivity analysis has been carried out for investigating the techno-economic impact of different storage technologies (i.e. lithium-ion, Vanadium redox, ice and phase change material thermal storage) for optimally designing and operating a multi-energy system. Two case studies, characterized by electricity and peak cooling demand of 1600 kWe and 3000 kWc respectively, have been assessed and the results of master-planning and optimal dispatch discussed for two scenarios, grid-connected and island mode. The results show that multi-energy systems which include combined heat and power units, solar PVs and energy storage systems lead to achieve more than 1.1 $M and 4.5 $M savings in net present value and 15% and 25% reduction in CO2 emissions, when compared with traditional power plant generation. Elsevier Ltd
英文关键词	Energy storage systems; Master planning; Optimal economic dispatch; Polygeneration power plant
scopus关键词	Carbon dioxide; Cogeneration plants; Electric energy storage; Energy conservation; Heat storage; Heating; Integer programming; Phase change materials; Quadratic programming; Scheduling; Sensitivity analysis; Storage (materials); Wind power; Combined heat and power units; Economic Dispatch; Energy storage systems; Energy storage technologies; Master planning; Mixed integer quadratic programming; Poly-generation; Solar and wind energies; Electric load dispatching; alternative energy; combined heat and power; cooling; economic conditions; electricity; energy planning; energy storage; parameter estimation; planning process; power plant; technological change
来源期刊	Applied Energy
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/176297
作者单位	Energy Research Institute @ NTU, Nanyang Technological University, Singapore; School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore; Department of Architectural Engineering and Technology (AE+T), TU Delft University of Technology, Netherlands
推荐引用方式 GB/T 7714	Mazzoni S.,Ooi S.,Nastasi B.,et al. Energy storage technologies as techno-economic parameters for master-planning and optimal dispatch in smart multi energy systems[J],2019,254.
APA	Mazzoni S.,Ooi S.,Nastasi B.,&Romagnoli A..(2019).Energy storage technologies as techno-economic parameters for master-planning and optimal dispatch in smart multi energy systems.Applied Energy,254.
MLA	Mazzoni S.,et al."Energy storage technologies as techno-economic parameters for master-planning and optimal dispatch in smart multi energy systems".Applied Energy 254(2019).