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Wyszukujesz frazę "demand management" wg kryterium: Temat


Wyświetlanie 1-4 z 4
Tytuł:
A review on demand response based ancillary services offered by industries
Autorzy:
Ghasemi, Ahmad
Gerami, Nilufar
Powiązania:
https://bibliotekanauki.pl/articles/41193751.pdf
Data publikacji:
2024
Wydawca:
Politechnika Warszawska, Instytut Techniki Cieplnej
Tematy:
energy pricing
demand side management
demand response
smart grid
ceny energii
zarządzanie stroną popytową
reagowanie na popyt
inteligentna sieć
Opis:
Industrial power consumers have a considerable share of the global power demand; as a result, effective solutions have to be adopted to optimize the industrial power consumption. Demand response Programs (DRPs) provide such solutions. These programs are growingly studied as the industrial power consumption has increased and the implementation costs of the new technologies have decreased in recent years. DRP implementation reduces the dependency on the expensive energy storage technologies and flexible backup power sources. It seems that, DRP is not widely used in industry, yet its benefits are not practically exploited. The present work reviews the implementation of DRPs in industry and introduces the opportunities of industries for offering ancillary services to the market. Then, the industries which highly suit the specific kind of industrial DRPs are introduced and their processes are analyzed from the DRP point of view. Next, the DRP projects are continentally categorized and the advancements of different countries in specific kind of industrial DRPs are noted. Finally, the discussions and conclusion are presented.
Źródło:
Journal of Power Technologies; 2024, 104, 1; 32-55
1425-1353
Pojawia się w:
Journal of Power Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Wyznaczanie poziomu popytu w systemach aktywnego zarządzania energią elektryczną w budynkach
Energy demand calculation in active building energy management systems
Autorzy:
Ożadowicz, A.
Grela, J.
Powiązania:
https://bibliotekanauki.pl/articles/266442.pdf
Data publikacji:
2016
Wydawca:
Politechnika Gdańska. Wydział Elektrotechniki i Automatyki
Tematy:
system zarządzania energią
aktywne systemy zarządzania popytem
demand response
automatyka budynkowa
building energy management systems
active demand side management
event-driven builidng automation
Opis:
Efektywne zarządzanie energią w budynkach to kluczowy element inteligentnych sieci elektroenergetycznych z koncepcją zarządzania popytem na energię (Demand Side Management). Znajomość wartości poziomu popytu jest istotna z punktu widzenia organizacji aktywnych systemów zarządzania energią w budynkach. Systemy automatyzacji i sterowania budynkami (BACS) mogą dostarczać i gromadzić informacje o pobieranej mocy i energii przez odbiorniki, wraz z możliwością ich dynamicznego sterowania. W artykule zaproponowano różne algorytmy wyznaczania poziomu popytu, z wykorzystaniem mechanizmów harmonogramowania lub obsługi zdarzeń, charakterystycznych dla systemów BACS. Funkcjonowanie algorytmów poddano weryfikacji doświadczalnej. Przeprowadzono również analizę opracowanych algorytmów pod kątem ich możliwości aplikacyjnych, wskazując ich wady i zalety.
Buildings with implemented Building Energy Management Systems (BEMS) are crucial part of smart grids with demand-response mechanism. Mostly the BEMS are based on Building Automation and Control Systems (BACS). Devices, controllers and meters integrated in the BACS could be used to provide data about energy consumption, instantaneous power and actively control loads in buildings. An energy demand value is essential for the BEMS with an active demand side management (DSM). Different approaches to calculate the energy demand value have been introduced in this paper. Various algorithms with time-driven and event-driven calculation mechanism have been proposed. They have been implemented and experiment with real data has been performed to verify this implementation. Results of experiment have been analysed and discussed, taking into account the accuracy and speed of computing the energy demand value. The algorithms proposed in the paper have been developed according the LonWorks – open, international building automation standard, providing full interoperability with other devices integrated in the BACS. They are ready to use in an Internet of Things networks as well.
Źródło:
Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej; 2016, 49; 85-90
1425-5766
2353-1290
Pojawia się w:
Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Value Stream Mapping for Evaluation of Load Scheduling Possibilities in a District Heating Plant
Autorzy:
Melsas, R.
Rosin, A.
Drovtar, I.
Powiązania:
https://bibliotekanauki.pl/articles/136220.pdf
Data publikacji:
2016
Wydawca:
EEEIC International Barbara Leonowicz Szabłowska
Tematy:
demand response
energy storage
load management
load scheduling
value stream mapping
Opis:
Demand side response enables cost optimization for energy systems and industrial consumers. In many countries, it is not widely used because of implementation complexity. One of the solutions for applying demand side response is industrial process scheduling according to the energy market needs. From the energy system point of view, process scheduling implies load scheduling. The aim of this paper is to provide a solution for load scheduling by implementing value stream mapping, which is a straightforward enough for production management. Decision makers in the industry should have a clear understanding about positive effect from load scheduling and its effect to production outcome and process availability. Value stream mapping is a well-known process optimization tool from lean production philosophy. The aim of value stream mapping is to shorten the lead time of industrial processes and to reduce the intermediate stock amounts. By complementing value stream map with process energy intensity and energy stored in intermediate stocks, we can promote load scheduling possibilities. Our methodology provides a tool that is understandable and traceable for industry-minded decision makers. Finally, we present a real life test example for the new methodology, which is based on the production process of a district heating plant.
Źródło:
Transactions on Environment and Electrical Engineering; 2016, 1, 3; 62-67
2450-5730
Pojawia się w:
Transactions on Environment and Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Agilometer: an effective implementation of Internet of things for agile demand response
Autorzy:
Babar, M.
Grela, J.
Ozadowicz, A.
Nguyen, P. H.
Hanzelka, Z.
Kamphuis, I. G.
Powiązania:
https://bibliotekanauki.pl/articles/136233.pdf
Data publikacji:
2017
Wydawca:
EEEIC International Barbara Leonowicz Szabłowska
Tematy:
demand response
energy management system
Internet of Things
transactive based control mechanism
smart metering
Opis:
Transactive based control mechanism (TCM) needs the IoT environment to fully explore flexibility potential from the end-users to offer to involved actors of the smart energy system. On the other hand, many IoT based energy management systems are already available to a market. This paper presents an ap-proach to connect the current demand-driven (top-down) energy management system (EMS) with a market-driven (bottom-up) demand response program. To this end, this paper considers multi-agent system (MAS) to realize the approach and introduces the concept and standardize design of Agilometer. It is described as an elemental agent of the approach. Proposed by authors Agilometer consists of three different functional blocks, which are formulated as an IoT platform according to the LonWorks standard. Moreover, the paper also performs an evaluation study in order to validate the proposed concept and design.
Źródło:
Transactions on Environment and Electrical Engineering; 2017, 2, 2; 58-63
2450-5730
Pojawia się w:
Transactions on Environment and Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
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