Cost-effective optimization of load shifting in the industry by using intermediate storages

Uuemaa, Priit; Kilter, Jako; Valtin, Juhan; Drovtar, Imre; Rosin, Argo; Puusepp, Allan

doi:10.1109/isgteurope.2013.6695404

Cited by 7 publications

(6 citation statements)

References 16 publications

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“…At the same site the industrial factory's average consumption is 3.2 MW e of electricity. As shown in the previous study [15] the consumption load is …”

Section: A Key Figures Describing the Industrial Chp Under Investigamentioning

confidence: 76%

Industrial CHP optimal management in the energy market under incomplete information

Uuemaa

Drovtar

Kilter

et al. 2014

2014 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA)

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This paper investigates the possibilities how to optimize the industrial combined heat and power plant (CHP) daily operations and decision making process. The aim of the paper is to develop a method for an economic optimization of the industrial CHP. The method takes into account the industrial production together with an energy production in order to maximize the global profit for the entire facility. The method utilizes the electricity spot market price variation for the benefit of the market participant.Index Terms--combined heat and power plant; demand side management; energy efficiency; industrial processes.

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“…At the same site the industrial factory's average consumption is 3.2 MW e of electricity. As shown in the previous study [15] the consumption load is …”

Section: A Key Figures Describing the Industrial Chp Under Investigamentioning

confidence: 76%

Industrial CHP optimal management in the energy market under incomplete information

Uuemaa

Drovtar

Kilter

et al. 2014

2014 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA)

Self Cite

View full text Add to dashboard Cite

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“…Minimizing the potential risks for the business owner can be achieved by utilizing the built-in intermediate storages as onsite energy storage to shift the electricity consumption of certain parts of the controllable process. The "electrical" storage capacity of such units is determined by the physical size of the intermediate storage and its coherence with the following sub-process [22]. The bigger the production capacity and the following intermediate storage of the optimizable sub-process are compared to the consecutive process, the longer it is possible to deploy DSR in that process.…”

Section: A Control Methodology For Dsr Loadsmentioning

confidence: 99%

“…Over the course of a related research [22], the authors determined a linear correlation between electricity consumption and product output in industries (R 2 = 0.79). The authors in [23] determined similar association between temperature and electricity consumption with a correlation factor R 2 = 0.87.…”

Section: A Control Methodology For Dsr Loadsmentioning

confidence: 99%

“…This is considered to be one of the key elements lowering the production costs in the industry. The authors of [22] have determined that the electricity cost (E), which is a stochastic parameter, for a single load under investigation can be minimized according to scenarios s with (1)…”

Section: B Business Cases For Dsrmentioning

confidence: 99%

“…The authors of [22] determined that by applying the optimization according to the historical market price data, the load's annual electricity costs could be lowered up to 11 %. However, when implementing additionally the dayahead market price optimization algorithm according to (1), the specific electricity cost of the studied sub-process could be lowered as much as 17 % compared to the base case.…”

Section: B Business Cases For Dsrmentioning

confidence: 99%

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Demand Side Management in Small Power Systems – The Estonian Case Study

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Rosin²,

Kilter³

2016

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The increasing amount of stochastic power generation connected to power system increases the need for additional ancillary reserves. Most of today's electricity consumers are relatively flexible and easily controllable, providing an already existing supplement for traditional power system ancillary services. The flexibility of loads depends on the number, type and size of consumers. In small power systems utilizing loads for power system services pose different challenges for the system operator than in larger systems. The main challenge lies in developing a business case and incentives for the customers to participate in such services. This paper discusses and analyses the Estonian three most energy intensive economic sectors potential for demand side response from a small power system point of view. Generally, it is determined that demand side flexibility provides incentives not only for the power system operator but also for the customer who is able optimize its processes to gain higher economic and energy efficiency and at the same time provide flexibility for the system operator.

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Optimal Generation Sizing for Jharkhand Remote Rural Area by Employing Integrated Renewable Energy Models Opting Energy Management

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Control Applications in Modern Power System

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Cost-effective optimization of load shifting in the industry by using intermediate storages

Cited by 7 publications

References 16 publications

Industrial CHP optimal management in the energy market under incomplete information

Industrial CHP optimal management in the energy market under incomplete information

Demand Side Management in Small Power Systems – The Estonian Case Study

Optimal Generation Sizing for Jharkhand Remote Rural Area by Employing Integrated Renewable Energy Models Opting Energy Management

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