Abstract
Abstract A comprehensive review of hybrid systems for water desalination is presented in this chapter. The technoeconomic analysis and environmental impact assessment of a hybrid MSF/RO system has also been carried out as a case study. The production data of an existing MSF plant (Al Taweelah A2 plant in Abu Dhabi, UAE—total water production of 227,000 m 3 /day) are used for this case study. A detailed model of a parallel configuration, which takes sustainability factors such as process economics and CO 2 emissions into consideration, is developed for the hybridization. From the review, it was concluded that recent advances in hybrid desalination technologies have contributed to sustainable desalination in terms of environmental friendliness, lower energy consumption, and cost-effective desalination processes. The MSF/RO case-study model revealed significant reduction in water production cost, annual energy consumption, and annual gas emissions with $0.42/m 3 , 141.2 × 10 + 6 kWh, and 70,636.8 tCO 2 , respectively.
Full Text
Topics from this Paper
Annual Gas Emissions
Water Production Cost
Annual Energy Consumption
Abu Dhabi
Lower Energy Consumption
+ Show 5 more
Create a personalized feed of these topics
Get StartedTalk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Similar Papers
Energy Reports
Nov 1, 2019
Gümüşhane Üniversitesi Fen Bilimleri Enstitüsü Dergisi
Jul 5, 2021
Water Policy
Jan 1, 2001
Space Ontology International Journal
Dec 1, 2020
Energy & Environment
Sep 19, 2022
Energy and Buildings
Dec 1, 2009
Energy Conversion and Management
Nov 1, 2004
Sustainable Cities and Society
May 1, 2019
Journal of Asian Architecture and Building Engineering
Nov 1, 2006
Sustainable Energy Technologies and Assessments
Oct 1, 2019
Journal of Asian Architecture and Building Engineering
Nov 10, 2023
Journal of Engineering, Design and Technology
Jul 14, 2020
Periodicals of Engineering and Natural Sciences (PEN)
May 14, 2020
Sustainability
Dec 4, 2019
Energy and AI
Sep 1, 2021