Detail publikace
Towards data-driven process integration for renewable energy planning
KONG, K. HOW, B. TENG, S. LEONG, W. FOO, D. TAN, R. SUNARSO, J.
Anglický název
Towards data-driven process integration for renewable energy planning
Typ
Článek WoS
Jazyk
en
Originální abstrakt
Process integration (PI) is a sub-area within the chemical engineering discipline that was established in the 1970s. It focuses on the development and use of tools for the holistic design of chemical processes; emphasis is placed on the system-level interdependencies among process units. More recently, PI tools have been applied to renewable energy planning due to mounting concerns about climate change. This article reviews recent developments in PI tools for renewable energy planning, covering both pinch analysis and mathematical programming, and discusses promising prospects for future research. In particular, the role of artificial intelligence in enabling data-driven energy planning with PI is discussed as a priority topic.
Klíčová slova anglicky
process integration; renewable energy; optimization
Vydáno
2021-03-01
Nakladatel
ELSEVIER SCI LTD
Místo
OXFORD
ISSN
2211-3398
Časopis
Current Opinion in Chemical Engineering
Ročník
31
Číslo
1
Strany od–do
100665-1–100665-6
Počet stran
6