The increasing share of variable renewable energy sources, strict targets set for the reduction of greenhouse gas emissions and the requirements on improvement of system security and reliability are calling for important changes in our energy systems. Energy systems have been in transition, extending their boundaries beyond the energy systems themselves, the 3-D interactive extensions, that relate to the dimensions of physical Space, Time scale and Human behaviors – STH extension. Under the new circumstance of the STH-demission, we need new approaches and solutions to solve the challenging issues associated with new transitions of future clean energy systems [1]. The next generation of competitive technologies and services that will create or enhance synergies between energy supply networks are being developed and matured. Facing these challenges and opportunities, energy supply networks (e.g. electric power networks, natural gas networks, hydrogen production and transportation, district heating and cooling systems, electrified transportation, and the associated information and communication infrastructure) are undergoing a radical transformation with massive investments in infrastructure and technologies [2]. This provides a window of opportunity. This transition is significantly increasing the coupling and interactions between energy supply networks via network coupling technologies, e.g. Combined Heat and Power units (CHP), Power to Gas (e.g. using excess renewable energy to produce hydrogen, which can be injected to the gas network or converted to synthetic natural gas, SNG, and then injected into the gas network) and Power to heat (e.g. heat pumps) processes. There is an urgent need to develop the next generation network coupling technologies and energy system integration methods which will make optimal use of synergies between energy networks to increase the hosting capacity and flexibility of distributed energy resources (DERs), enhanced demand response and support Smart Grid operation.

Synergies between energy supply networks

DESIDERI, UMBERTO;
2017-01-01

Abstract

The increasing share of variable renewable energy sources, strict targets set for the reduction of greenhouse gas emissions and the requirements on improvement of system security and reliability are calling for important changes in our energy systems. Energy systems have been in transition, extending their boundaries beyond the energy systems themselves, the 3-D interactive extensions, that relate to the dimensions of physical Space, Time scale and Human behaviors – STH extension. Under the new circumstance of the STH-demission, we need new approaches and solutions to solve the challenging issues associated with new transitions of future clean energy systems [1]. The next generation of competitive technologies and services that will create or enhance synergies between energy supply networks are being developed and matured. Facing these challenges and opportunities, energy supply networks (e.g. electric power networks, natural gas networks, hydrogen production and transportation, district heating and cooling systems, electrified transportation, and the associated information and communication infrastructure) are undergoing a radical transformation with massive investments in infrastructure and technologies [2]. This provides a window of opportunity. This transition is significantly increasing the coupling and interactions between energy supply networks via network coupling technologies, e.g. Combined Heat and Power units (CHP), Power to Gas (e.g. using excess renewable energy to produce hydrogen, which can be injected to the gas network or converted to synthetic natural gas, SNG, and then injected into the gas network) and Power to heat (e.g. heat pumps) processes. There is an urgent need to develop the next generation network coupling technologies and energy system integration methods which will make optimal use of synergies between energy networks to increase the hosting capacity and flexibility of distributed energy resources (DERs), enhanced demand response and support Smart Grid operation.
2017
Wu, Jianzhnog; Yan, Jinyue; Desideri, Umberto; Deconinck, Geert; Madsen, Henrik; Huitema, George; Kolb, Thomas
File in questo prodotto:
File Dimensione Formato  
1-s2.0-S0306261917301691-main(1).pdf

solo utenti autorizzati

Descrizione: Editoriale
Tipologia: Versione finale editoriale
Licenza: NON PUBBLICO - Accesso privato/ristretto
Dimensione 797.34 kB
Formato Adobe PDF
797.34 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/851590
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 16
  • ???jsp.display-item.citation.isi??? 13
social impact