Performance prediction, optimal design and operational control of thermal energy storage using artificial intelligence methods

2022 ◽  
Vol 156 ◽  
pp. 111977
Author(s):  
Zhaoyu He ◽  
Weimin Guo ◽  
Peng Zhang
Keyword(s):  
Artificial Intelligence ◽  
Energy Storage ◽  
Optimal Design ◽  
Thermal Energy ◽  
Performance Prediction ◽  
Thermal Energy Storage ◽  
Operational Control ◽  
Artificial Intelligence Methods

Optimal design and operation of thermal energy storage systems in micro-cogeneration plants

2020 ◽  
Vol 265 ◽  
pp. 114769 ◽  
Author(s):  
E. Pérez-Iribarren ◽  
I. González-Pino ◽  
Z. Azkorra-Larrinaga ◽  
I. Gómez-Arriarán
Keyword(s):  
Energy Storage ◽  
Optimal Design ◽  
Thermal Energy ◽  
Thermal Energy Storage ◽  
Storage Systems ◽  
Energy Storage Systems ◽  
Thermal Energy Storage Systems

scholarly journals Optimal design and energy management of a renewable energy plant with seasonal energy storage

2021 ◽  
Vol 238 ◽  
pp. 02002
Author(s):  
Hilal Bahlawan ◽  
Enzo Losi ◽  
Lucrezia Manservigi ◽  
Mirko Morini ◽  
Michele Pinelli ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Optimal Design ◽  
Energy Management ◽  
Thermal Energy ◽  
Thermal Energy Storage ◽  
Fossil Fuels ◽  
Electrical Energy ◽  
Energy Plant ◽  
Energy Plants

The exploitation of fossil fuels is undoubtedly responsible of environmental problems such as global warming and sea level rise. Unlike energy plants based on fossil fuels, energy plants based on renewable energy sources may be sustainable and reduce greenhouse gas emissions. However, they are unpredictable because of the intermittent nature of environmental conditions. For this reason, energy storage technologies are needed to meet peak energy demands thanks to the stored energy. Moreover, the renewable energy systems composing the plant must be optimally designed and operated. Therefore, this paper investigates the challenge of the optimal design and energy management of a grid connected renewable energy plant composed of a solar thermal collector, photovoltaic system, ground source heat pump, battery, one short-term thermal energy storage and one seasonal thermal energy storage. To this aim, this paper develops a methodology based on a genetic algorithm that optimally designs a 100% renewable energy plant with the aim of minimizing the electrical energy taken from the grid. The load profiles of thermal, cooling and electrical energy during a whole year are taken into account for the case study of the Campus of the University of Parma (Italy).

Pareto optimal design of a finned latent heat thermal energy storage unit using a novel hybrid technique

2021 ◽  
Vol 44 ◽  
pp. 103310
Author(s):  
Hamid Maleki ◽  
Mehdi Ashrafi ◽  
Nastaran Zandy Ilghani ◽  
Marjan Goodarzi ◽  
Taseer Muhammad
Keyword(s):  
Energy Storage ◽  
Optimal Design ◽  
Latent Heat ◽  
Thermal Energy ◽  
Thermal Energy Storage ◽  
Pareto Optimal ◽  
Hybrid Technique ◽  
Storage Unit ◽  
Energy Storage Unit ◽  
Pareto Optimal Design
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