Heat demand forecasting for concrete district heating system

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F10%3A63508982" target="_blank" >RIV/70883521:28140/10:63508982 - isvavai.cz</a>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Heat demand forecasting for concrete district heating system

Popis výsledku v původním jazyce

This paper presents the results of an investigation of a model for short-term heat demand forecasting. Forecast of this heat demand course is significant for short-term planning of heat production and it is most important for technical and economic consideration. Weather forecasts are an important input to many heat demand forecasting models. In this paper we propose the forecast model of heat demand based on the assumption that the course of heat demand can be described sufficiently well as a functionof the outdoor temperature and the weather independent component (social components). Time of the day affects the social components. The time dependence of the load reflects the existence of a daily heat demand pattern, which may vary for different weekdays and seasons. Forecast of social component is realized by means of Box-Jenkins methodology. We have studied half-hourly heat demand data, covering a three (four) month period in two concrete district heating systems (DHS) of the Czech

Název v anglickém jazyce

Heat demand forecasting for concrete district heating system

Popis výsledku anglicky

This paper presents the results of an investigation of a model for short-term heat demand forecasting. Forecast of this heat demand course is significant for short-term planning of heat production and it is most important for technical and economic consideration. Weather forecasts are an important input to many heat demand forecasting models. In this paper we propose the forecast model of heat demand based on the assumption that the course of heat demand can be described sufficiently well as a functionof the outdoor temperature and the weather independent component (social components). Time of the day affects the social components. The time dependence of the load reflects the existence of a daily heat demand pattern, which may vary for different weekdays and seasons. Forecast of social component is realized by means of Box-Jenkins methodology. We have studied half-hourly heat demand data, covering a three (four) month period in two concrete district heating systems (DHS) of the Czech

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JE - Nejaderná energetika, spotřeba a užití energie

OECD FORD obor

—

Projekt

<a href="/cs/project/2C06007" target="_blank" >2C06007: Inteligentní systém pro řízení energetického systému městské aglomerace.</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2010

Kód důvěrnosti údajů

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

Název periodika

International Journal of Mathematical Models and Methods in Applied Science

ISSN

1998-0140

e-ISSN

—

Svazek periodika

—

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

9

Strana od-do

—

Kód UT WoS článku

—

EID výsledku v databázi Scopus

—