| Autore: |
Klemeš Jiří Jaromír
|
| Titolo: |
Selected Papers from PRES 2018 : The 21st Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction
|
| Pubblicazione: |
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica: |
1 online resource (494 p.) |
| Soggetto topico: |
Research & information: general |
| Soggetto non controllato: |
air liquefaction |
| |
anaerobic digestion |
| |
bio-adsorbents |
| |
biomass |
| |
biomass co-firing |
| |
biomass quality |
| |
biowaste |
| |
bog peat |
| |
boiler |
| |
chitosan microbeads |
| |
co-firing |
| |
co-generation |
| |
combustion |
| |
combustion particles |
| |
computational fluid dynamics |
| |
convection section |
| |
cooling system |
| |
cryogenic energy storage |
| |
data envelopment analysis |
| |
data farming |
| |
DC electric field |
| |
design procedure |
| |
dimple |
| |
direct heat integration |
| |
district heating |
| |
dual-turbine |
| |
economic analysis |
| |
energy conservation |
| |
energy demand |
| |
energy efficiency |
| |
energy-saving technologies |
| |
environmental impacts |
| |
exergoeconomic analysis |
| |
exergy analysis |
| |
fine particles |
| |
finite element analysis |
| |
flexible control technology |
| |
flexible operation |
| |
flow boiling |
| |
flow distribution |
| |
flow pattern |
| |
food loss and waste |
| |
fuzzy optimization |
| |
gasification |
| |
goal programming |
| |
heat accumulation |
| |
heat exchanger |
| |
heat exchanger network |
| |
heat exchanger network (HEN) |
| |
heat flux distribution |
| |
heat recovery loop (HRL) |
| |
heat storage |
| |
heat transfer |
| |
heat transfer coefficient |
| |
impinging jet |
| |
indirect heat integration |
| |
interpass time |
| |
Julia language |
| |
latent heat thermal energy storage |
| |
life cycle assessment |
| |
life-cycle assessment |
| |
machine learning |
| |
mathematical optimization |
| |
maximum operating time |
| |
micro-hydropower plant |
| |
minimum number of solar collectors |
| |
mixed integer nonlinear programming |
| |
mixed-integer linear programming |
| |
Modelica language |
| |
Monte Carlo (MC) simulation |
| |
multi-objective |
| |
multi-periodic model |
| |
nanoparticles |
| |
network optimization |
| |
network science |
| |
nucleation |
| |
numerical model |
| |
Nusselt number |
| |
off-grid polygeneration |
| |
operability |
| |
optimization |
| |
P-Graph framework |
| |
particle growth |
| |
particulate matter |
| |
passive cooling |
| |
pellets |
| |
performance |
| |
phase change materials |
| |
pinch analysis |
| |
pipe |
| |
piping |
| |
preheat temperature |
| |
process integration |
| |
process network synthesis |
| |
pumping |
| |
radiant section |
| |
renewable energy sources |
| |
sensor and actuator placement |
| |
simplified methods |
| |
smart city |
| |
softwood |
| |
solar collector network |
| |
specific energy consumption |
| |
storage system |
| |
structural controllability |
| |
structural observability |
| |
surface-enhanced tube |
| |
sustainability |
| |
synthesis |
| |
T-joint fillet weld |
| |
temperature contour |
| |
thermal decomposition |
| |
total site heat integration |
| |
total solid particle |
| |
trigeneration system |
| |
trigeneration system cascade analysis |
| |
waste collection |
| |
water desalination |
| |
water shortage |
| |
water supply |
| |
welding deflection |
| |
welding residual stress |
| |
wheat straw |
| Persona (resp. second.): |
KlemešJiří Jaromír |
| Sommario/riassunto: |
The depletion of natural energy resources provides evidential adverse impacts on world economy functionality. The strong requirement of a sustainable energy supply has escalated intensive research and the discovery of cleaner energy sources, as well as efficient energy management practices. In the context of a circular economy, this research not only targets the optimisation of resources utilisation at different stages but also emphasises the eco-design of products to extend production life spans. Based on this concept, this book discusses the roles of process integration approaches, renewable energy sources utilisation and design modifications in addressing the process energy and exergy efficiency improvement. The primary focus is to enhance the economic and environmental performance through process analysis, modelling and optimisation. The articles mainly show the contribution of each aspect: (a) design and numerical study for innovative energy-efficient technologies, (b) process integration-heat and power, (c) process energy efficiency or emission analysis, and (d) optimisation of renewable energy resources' supply chain. The articles are based on the latest contribution of this journal's Special Issues in the 21st conference entitled "Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction (PRES)". This book is complemented with an editorial review to highlight the broader state-of-the-art development. |
| Altri titoli varianti: |
Selected Papers from PRES 2018 |
| Titolo autorizzato: |
Selected Papers from PRES 2018  |
| Formato: |
Materiale a stampa  |
| Livello bibliografico |
Monografia |
| Lingua di pubblicazione: |
Inglese |
| Record Nr.: | 9910674052003321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: |
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