Usage of Spot Market Prices Prediction for Demand Side Management

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F16%3A00300803" target="_blank" >RIV/68407700:21230/16:00300803 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21720/16:00300803

Výsledek na webu

<a href="http://dx.doi.org/10.1109/ECC.2016.7810447" target="_blank" >http://dx.doi.org/10.1109/ECC.2016.7810447</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ECC.2016.7810447" target="_blank" >10.1109/ECC.2016.7810447</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Usage of Spot Market Prices Prediction for Demand Side Management

Popis výsledku v původním jazyce

This paper discusses the issue of demand side management, in particular control of the output power of heat pumps based on the spot market electricity price. The main presumptions are the ability of controlled HVAC system to shift energy load on the customer’s side and sufficient credibility of an energy price prognosis on the electricity provider’s side. The paper first presents current situation in the Czech republic with electricity tariffs legislations, which have to be followed so that the proposed method is applicable in practice. It is shown that for successful implementation, it is required to have an energy load model, model of the accumulation as well as parameters of the heat pump. For the energy load model, statistical black box methods are used, while the other models are based on first principles. The models are together with the prediction of spot market price used within model predictive control framework resulting in cost savings higher than 10%.

Název v anglickém jazyce

Usage of Spot Market Prices Prediction for Demand Side Management

Popis výsledku anglicky

This paper discusses the issue of demand side management, in particular control of the output power of heat pumps based on the spot market electricity price. The main presumptions are the ability of controlled HVAC system to shift energy load on the customer’s side and sufficient credibility of an energy price prognosis on the electricity provider’s side. The paper first presents current situation in the Czech republic with electricity tariffs legislations, which have to be followed so that the proposed method is applicable in practice. It is shown that for successful implementation, it is required to have an energy load model, model of the accumulation as well as parameters of the heat pump. For the energy load model, statistical black box methods are used, while the other models are based on first principles. The models are together with the prediction of spot market price used within model predictive control framework resulting in cost savings higher than 10%.

Druh

D - Stať ve sborníku

CEP obor

BC - Teorie a systémy řízení

OECD FORD obor

—

Projekt

<a href="/cs/project/LO1605" target="_blank" >LO1605: Univerzitní centrum energeticky efektivních budov – Fáze udržitelnosti</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

ECC16 Proceedings

ISBN

978-1-5090-2591-6

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

1165-1170

Název nakladatele

Aalborg University

Místo vydání

Aalborg

Místo konání akce

Aalborg

Datum konání akce

29. 6. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000392695300194