An optimal operating strategy for combined RES-based generators and electric storage systems for load shifting applications

Abstract In contrast to road-based traffic, the track as well as the corresponding duty cycle for railways are known beforehand, which represents a great advantage during the development of operating strategies for hybrid vehicles. Hence the benefits of hybrid vehicles regarding the fuel consumption can be exploited by means of an off-line optimisation. In this article, the fuel-optimal operating strategy is calculated for one specified track using two hybrid railway vehicles with different kinds of energy storage systems: on the one hand, a lithium-ion battery (high-energy storage) and, on the other, a double layer capacitor (high-power storage). For this purpose, control-oriented simulation models are developed for each architecture addressing the main effects contributing to the longitudinal dynamics of the power train. Based on these simulation models, the fuel-optimal operating strategy is calculated by two different approaches: Bellman’s dynamic programming, a wellknown approach in this field, and an innovative sensitivity-based optimisation.

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Assessing the Demand Side Management Potential and the Energy Flexibility of Heat Pumps in Buildings

Energies ◽

10.3390/en11071846 ◽

2018 ◽

Vol 11 (7) ◽

pp. 1846 ◽

Cited By ~ 21

Author(s):

Alessia Arteconi ◽

Fabio Polonara

Keyword(s):

Energy Storage ◽

Demand Response ◽

Energy Efficient ◽

Storage Systems ◽

Heat Pumps ◽

Demand Side ◽

Energy Storage Systems ◽

Peak Shaving ◽

Load Shifting ◽

Demand Response Programs

The energy demand in buildings represents a considerable share of the overall energy use. Given the significance and acknowledged flexibility of thermostatically controlled loads, they represent an interesting option for the implementation of demand side management (DSM) strategies. In this paper, an overview of the possible DSM applications in the field of air conditioning and heat pumps is provided. In particular, the focus is on the heat pump sector. Three case studies are analyzed in order to assess the energy flexibility provided by DSM technologies classified as energy efficient devices, energy storage systems, and demand response programs. The load shifting potential, in terms of power and time, is evaluated by varying the system configuration. Main findings show that energy efficient devices perform strategic conservation and peak shaving strategies, energy storage systems perform load shifting, while demand response programs perform peak shaving and valley filling strategies.

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Investigation of the optimal operating strategy for mixed culture polyhydroxyalkanoate (PHA) production under different nutrient conditions

10.3390/optofluidics2017-04457 ◽

2017 ◽

Author(s):

Qinxue Wen ◽

Lizhi Zhao ◽

Long Huang ◽

Zhiqiang Chen

Keyword(s):

Mixed Culture ◽

Optimal Operating ◽

Operating Strategy ◽

Pha Production ◽

Nutrient Conditions

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Optimal operating strategies of energy storage systems including various operating losses.

IEEJ Transactions on Power and Energy ◽

10.1541/ieejpes1972.105.355 ◽

1985 ◽

Vol 105 (4) ◽

pp. 355-362

Author(s):

Satoshi Morozumi ◽

Ken-ichi Nishiya ◽

Jun Hasegawa ◽

Hajime Fujiwara

Keyword(s):

Energy Storage ◽

Storage Systems ◽

Energy Storage Systems ◽

Optimal Operating ◽

Operating Strategies

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Evaluation and Optimization of Automated Operation in Small CHP Plants

10.1115/imece2000-1352 ◽

2000 ◽

Author(s):

Jeppe Grue ◽

Jens Andersen ◽

Niels From ◽

Inger Bach

Keyword(s):

Power Generation ◽

Objective Function ◽

Electric Power ◽

Power Plants ◽

Electrical Power ◽

District Heating ◽

Combined Heat And Power ◽

Optimal Operating ◽

Gas Engine ◽

Operating Strategy

Abstract In Denmark power generation is extensively based on small combined heat and power plants, which produce electric power and district heating. This work will focus on the small plants around 1 MW in size, which are often unmanned and operating completely automatically. The objective of this work is to formulate a method which can be used to determine the optimal operating strategy for a CHP plant, and that this strategy must be fully automated. The contribution margin of the plant is used as the objective function for the optimization. Finally the method is tested on a small CHP plant, which is a gas engine producing 1.34 MW electrical power and 1.6 MJ/s district heating. The methods, which are developed, can be used in general for the evaluation and optimization of automated strategies for the operation of small-unmanned CHP plants. The strong feature of the method is that it sets an ultimate target that is the best possible one to obtain with a view to any strategy. This provides a basis for the evaluation and optimization of the actual strategy.

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