Towards data-driven process integration for renewable energy planning
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F21%3APU143856" target="_blank" >RIV/00216305:26210/21:PU143856 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S221133982030068X" target="_blank" >https://www.sciencedirect.com/science/article/pii/S221133982030068X</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.coche.2020.100665" target="_blank" >10.1016/j.coche.2020.100665</a>
Alternative languages
Result language
angličtina
Original language name
Towards data-driven process integration for renewable energy planning
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
20402 - Chemical process engineering
Result continuities
Project
<a href="/en/project/EF16_026%2F0008413" target="_blank" >EF16_026/0008413: Strategic Partnership for Environmental Technologies and Energy Production</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Current Opinion in Chemical Engineering
ISSN
2211-3398
e-ISSN
—
Volume of the periodical
31
Issue of the periodical within the volume
1
Country of publishing house
GB - UNITED KINGDOM
Number of pages
6
Pages from-to
„100665-1“-„100665-6“
UT code for WoS article
000632440900012
EID of the result in the Scopus database
2-s2.0-85099218346