Increased utilisation of renewable energies through demand response in the water supply sector – A case study

Meschede, Henning

doi:10.1016/j.energy.2019.03.137

Cited by 34 publications

(15 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This can be further exploited through various demand response programs in order to offer frequency regulation or supplemental reserve products. 17…”

Section: Reverse Osmosis Desalinationmentioning

confidence: 99%

See 1 more Smart Citation

Modelling demand flexibility and energy storage to support increased penetration of renewable energy resources on Porto Santo

et al. 2020

View full text Add to dashboard Cite

This paper assesses the contribution of a controllable load (a reverse osmosis [RO] seawater desalination plant), together with an energy storage system in Porto Santo's small islanded electric power system. The controllable load and storage system are used to (i) smooth the net-demand fluctuations and adapt it to the availability of renewable energy sources (RES), thus avoiding possible curtailments and contributing to a higher dissemination of RES, (ii) minimize the overall operational cost associated with the production of electricity and potable-water, and (iii) reduce the environmental pollutants associated with the electric power systems on the island. The nonlinear nature of the problem makes it difficult to quickly obtain a robust solution through conventional mathematical tools. Therefore, an evolutionary algorithm is developed to find feasible solutions for dispatching the resources for a one-week simulation period. The proposed algorithm determined the power output of the conventional thermal power plant, the RO desalination plant operating periods, and the storage charging and discharging periods and powers. In the proposed scenario, through a seven-day simulation, 50% of the demand is supplied by renewable sources. The numerical results illustrate a reduction in the average total electricity-peak demand of the island. The obtained diagrams are compared with the data gathered on Porto Santo's energy system. They display that the proposed solution is economically beneficial for the management of the electric power grid of the island of Porto Santo, while reducing the global warming potential (GWP) of the electric power system. Furthermore, it reveals that in a scenario with 50% penetration of renewable sources, through the proposed solution, a more efficient and predictable operation of the conventional electricity generators and the RO desalination plants can be achieved.

show abstract

“…This can be further exploited through various demand response programs in order to offer frequency regulation or supplemental reserve products. 17…”

Section: Reverse Osmosis Desalinationmentioning

confidence: 99%

“…Such flexibility is provided by both the size of the water reservoir capacity and the ability to operate the RO plant at different power. This can be further exploited through various demand response programs in order to offer frequency regulation or supplemental reserve products 17 …”

Section: Introductionmentioning

confidence: 99%

Modelling demand flexibility and energy storage to support increased penetration of renewable energy resources on Porto Santo

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Hence, energy demand can be adapted to energy supply. It stabilises the energy system through the demand response on the one hand and increases the utilisation rate of renewable energy systems on the other hand [11,12]. Several different energy market designs and economic incentives are discussed in both the scientific literature and the political and regulatory decision-making bodies dealing with flexible pricing models [13,14].…”

Section: Introduction and Problem Descriptionmentioning

confidence: 99%

Economic Multiple Model Predictive Control for HVAC Systems—A Case Study for a Food Manufacturer in Germany

et al. 2018

Self Cite

View full text Add to dashboard Cite

The following paper describes an economical, multiple model predictive control (EMMPC) for an air conditioning system of a confectionery manufacturer in Germany. The application consists of a packaging hall for chocolate bars, in which a new local conveyor belt air conditioning system is used and thus the temperature and humidity limits in the hall can be significantly extended. The EMMPC calculates the optimum energy or cost humidity and temperature set points in the hall. For this purpose, time-discrete state space models and an economic objective function with which it is possible to react to flexible electricity prices in a cost-optimised manner are created. A possible future electricity price model for Germany with a flexible Renewable Energies levy (EEG levy) was used as a flexible electricity price. The flexibility potential is determined by variable temperature and humidity limits in the hall, which are oriented towards the comfort field for easily working persons, and the building mass. The building mass of the created room model is used as a thermal energy store. Considering the electricity price and weather forecasts as well as an internal, production plan-dependent load forecasts, the model predictive controller directly controls the heating and cooling register and the humidifier of the air conditioning system.

show abstract

“…Due to the volatile nature of wind and solar energy demand has to be made more flexible. Hence, energy demand can be adopted to energy supply and therefor stabilise the energy system through demand response on the one hand and increase the utilisation rate of renewable energy systems on the other hand [10] [11].…”

Section: Introduction and Problem Descriptionmentioning

confidence: 99%

Economic Multiple Model Predictive Control for HVAC Systems - A Case Study for a Food Manufacturer in Germany

Heidrich¹,

Grobe²,

Meschede³

et al. 2018

Preprint

Self Cite

View full text Add to dashboard Cite

The following paper describes an economical, multiple model predictive control (EMMPC) for an air conditioning system of a confectionery manufacturer in Germany. The application consists of a packaging hall for chocolate bars, in which a new local conveyor belt air conditioning system is used and thus the temperature and humidity limits in the hall can be significantly extended. The EMMPC calculates the optimum energy or cost humidity and temperature set points in the hall. For this purpose, time-discrete state space models and an economic objective function with which it is possible to react to flexible electricity prices in a cost-optimised manner are created. A possible future electricity price model for Germany with a flexible EEG levy was used as a flexible electricity price. The flexibility potential is determined by variable temperature and humidity limits in the hall, which are oriented towards the comfort field for easily working persons, and the building mass. The building mass of the created room model is used as a thermal energy store. Considering electricity price and weather forecasts as well as internal, production plan-dependent load forecasts, the model predictive controller directly controls the heating and cooling register and the humidifier of the air conditioning system.

show abstract

Increased utilisation of renewable energies through demand response in the water supply sector – A case study

Cited by 34 publications

References 31 publications

Modelling demand flexibility and energy storage to support increased penetration of renewable energy resources on Porto Santo

Modelling demand flexibility and energy storage to support increased penetration of renewable energy resources on Porto Santo

Economic Multiple Model Predictive Control for HVAC Systems—A Case Study for a Food Manufacturer in Germany

Economic Multiple Model Predictive Control for HVAC Systems - A Case Study for a Food Manufacturer in Germany

Contact Info

Product

Resources

About