Reprint
Selected Papers from PRES 2018
The 21st Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction
Edited by
June 2020
494 pages
- ISBN978-3-03928-134-3 (Paperback)
- ISBN978-3-03928-135-0 (PDF)
This book is a reprint of the Special Issue Selected Papers from PRES 2018: The 21st Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction that was published in
Chemistry & Materials Science
Engineering
Environmental & Earth Sciences
Physical Sciences
Summary
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.
Format
- Paperback
License
© 2020 by the authors; CC BY-NC-ND license
Keywords
particulate matter; fine particles; combustion particles; nucleation; particle growth; data envelopment analysis; energy efficiency; food loss and waste; life-cycle assessment; welding residual stress; welding deflection; T-joint fillet weld; preheat temperature; interpass time; finite element analysis; water desalination; water supply; water shortage; energy demand; environmental impacts; specific energy consumption; cryogenic energy storage; air liquefaction; exergy analysis; economic analysis; exergoeconomic analysis; heat exchanger network; structural controllability; structural observability; operability; network science; sensor and actuator placement; simplified methods; design procedure; convection section; radiant section; flow distribution; heat flux distribution; boiler; solar collector network; minimum number of solar collectors; maximum operating time; flexible operation; district heating; heat accumulation; pipe; numerical model; Modelica language; Julia language; performance; off-grid polygeneration; micro-hydropower plant; fuzzy optimization; mixed-integer linear programming; dual-turbine; multi-objective; heat exchanger network (HEN); synthesis; optimization; direct heat integration; indirect heat integration; piping; pumping; impinging jet; dimple; Nusselt number; heat transfer; heat exchanger; flow boiling; surface-enhanced tube; heat transfer coefficient; flow pattern; total site heat integration; heat recovery loop (HRL); heat storage; Monte Carlo (MC) simulation; data farming; gasification; biomass; total solid particle; trigeneration system; process integration; pinch analysis; co-generation; storage system; trigeneration system cascade analysis; total site heat integration; energy conservation; latent heat thermal energy storage; phase change materials; passive cooling; bio-adsorbents; exergy analysis; chitosan microbeads; nanoparticles; anaerobic digestion; biowaste; life cycle assessment; smart city; waste collection; P-Graph framework; process network synthesis; multi-periodic model; optimization; energy efficiency; sustainability; biomass; co-firing; wheat straw; softwood; bog peat; pellets; thermal decomposition; combustion; DC electric field; computational fluid dynamics; heat transfer; temperature contour; cooling system; mathematical optimization; machine learning; flexible control technology; biomass co-firing; biomass quality; network optimization; goal programming; mixed integer nonlinear programming; process integration; renewable energy sources; energy-saving technologies