Publication detail
Towards data-driven process integration for renewable energy planning
KONG, K. HOW, B. TENG, S. LEONG, W. FOO, D. TAN, R. SUNARSO, J.
English title
Towards data-driven process integration for renewable energy planning
Type
journal article in Web of Science
Language
en
Original abstract
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.
English abstract
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.
Keywords in English
process integration; renewable energy; optimization
Released
01.03.2021
Publisher
ELSEVIER SCI LTD
Location
OXFORD
ISSN
2211-3398
Volume
31
Number
1
Pages from–to
100665-1–100665-6
Pages count
6
BIBTEX
@article{BUT177018,
author="Karen Gah Hie {Kong} and Bing Shen {How} and Sin Yong {Teng} and Wei Dong {Leong} and Dominic CY {Foo} and Raymond R {Tan} and Jaka {Sunarso},
title="Towards data-driven process integration for renewable energy planning",
year="2021",
volume="31",
number="1",
month="March",
pages="100665-1--100665-6",
publisher="ELSEVIER SCI LTD",
address="OXFORD",
issn="2211-3398"
}