An Optimization Framework for the Climate, Land, Energy, and Water (CLEWS) Nexus by a Discrete Optimization Model. Saif, Y. & Almansoori, A. Energy Procedia, 105:3232–3238, May, 2017. Paper doi abstract bibtex Global energy resources are important for the economic prosperity. Energy resources management and environment conservation have been a great subject worldwide. This study presents a discrete optimization model for the Climate, Land, Energy, and Water (CLEW) nexus interactions. The optimization model examines the temporal and spatial integration of the CLEW nexus elements in order to provide optimal infrastructure capacity expansion of essential commodities, and periodic optimal supply of these commodities for a given region. A mixed integer linear programming (MILP) model is developed to assist in the process of optimal infrastructure capacity expansion and operation of the CLEW system. A case study of the Mauritius Island is presented to show the application of the mathematical model.
@article{saif_optimization_2017,
series = {8th {International} {Conference} on {Applied} {Energy}, {ICAE}2016, 8-11 {October} 2016, {Beijing}, {China}},
title = {An {Optimization} {Framework} for the {Climate}, {Land}, {Energy}, and {Water} ({CLEWS}) {Nexus} by a {Discrete} {Optimization} {Model}},
volume = {105},
issn = {1876-6102},
url = {http://www.sciencedirect.com/science/article/pii/S1876610217307774},
doi = {10.1016/j.egypro.2017.03.714},
abstract = {Global energy resources are important for the economic prosperity. Energy resources management and environment conservation have been a great subject worldwide. This study presents a discrete optimization model for the Climate, Land, Energy, and Water (CLEW) nexus interactions. The optimization model examines the temporal and spatial integration of the CLEW nexus elements in order to provide optimal infrastructure capacity expansion of essential commodities, and periodic optimal supply of these commodities for a given region. A mixed integer linear programming (MILP) model is developed to assist in the process of optimal infrastructure capacity expansion and operation of the CLEW system. A case study of the Mauritius Island is presented to show the application of the mathematical model.},
urldate = {2017-08-11TZ},
journal = {Energy Procedia},
author = {Saif, Yousef and Almansoori, Ali},
month = may,
year = {2017},
keywords = {CLEW system, discrete optimization, mauritius Island, supply chain integration},
pages = {3232--3238}
}
Downloads: 0
{"_id":"LPywK4xR8bN7KBW6d","bibbaseid":"saif-almansoori-anoptimizationframeworkfortheclimatelandenergyandwaterclewsnexusbyadiscreteoptimizationmodel-2017","downloads":0,"creationDate":"2019-03-26T20:20:01.340Z","title":"An Optimization Framework for the Climate, Land, Energy, and Water (CLEWS) Nexus by a Discrete Optimization Model","author_short":["Saif, Y.","Almansoori, A."],"year":2017,"bibtype":"article","biburl":"https://bibbase.org/zotero/racheck","bibdata":{"bibtype":"article","type":"article","series":"8th International Conference on Applied Energy, ICAE2016, 8-11 October 2016, Beijing, China","title":"An Optimization Framework for the Climate, Land, Energy, and Water (CLEWS) Nexus by a Discrete Optimization Model","volume":"105","issn":"1876-6102","url":"http://www.sciencedirect.com/science/article/pii/S1876610217307774","doi":"10.1016/j.egypro.2017.03.714","abstract":"Global energy resources are important for the economic prosperity. Energy resources management and environment conservation have been a great subject worldwide. This study presents a discrete optimization model for the Climate, Land, Energy, and Water (CLEW) nexus interactions. The optimization model examines the temporal and spatial integration of the CLEW nexus elements in order to provide optimal infrastructure capacity expansion of essential commodities, and periodic optimal supply of these commodities for a given region. A mixed integer linear programming (MILP) model is developed to assist in the process of optimal infrastructure capacity expansion and operation of the CLEW system. A case study of the Mauritius Island is presented to show the application of the mathematical model.","urldate":"2017-08-11TZ","journal":"Energy Procedia","author":[{"propositions":[],"lastnames":["Saif"],"firstnames":["Yousef"],"suffixes":[]},{"propositions":[],"lastnames":["Almansoori"],"firstnames":["Ali"],"suffixes":[]}],"month":"May","year":"2017","keywords":"CLEW system, discrete optimization, mauritius Island, supply chain integration","pages":"3232–3238","bibtex":"@article{saif_optimization_2017,\n\tseries = {8th {International} {Conference} on {Applied} {Energy}, {ICAE}2016, 8-11 {October} 2016, {Beijing}, {China}},\n\ttitle = {An {Optimization} {Framework} for the {Climate}, {Land}, {Energy}, and {Water} ({CLEWS}) {Nexus} by a {Discrete} {Optimization} {Model}},\n\tvolume = {105},\n\tissn = {1876-6102},\n\turl = {http://www.sciencedirect.com/science/article/pii/S1876610217307774},\n\tdoi = {10.1016/j.egypro.2017.03.714},\n\tabstract = {Global energy resources are important for the economic prosperity. Energy resources management and environment conservation have been a great subject worldwide. This study presents a discrete optimization model for the Climate, Land, Energy, and Water (CLEW) nexus interactions. The optimization model examines the temporal and spatial integration of the CLEW nexus elements in order to provide optimal infrastructure capacity expansion of essential commodities, and periodic optimal supply of these commodities for a given region. A mixed integer linear programming (MILP) model is developed to assist in the process of optimal infrastructure capacity expansion and operation of the CLEW system. A case study of the Mauritius Island is presented to show the application of the mathematical model.},\n\turldate = {2017-08-11TZ},\n\tjournal = {Energy Procedia},\n\tauthor = {Saif, Yousef and Almansoori, Ali},\n\tmonth = may,\n\tyear = {2017},\n\tkeywords = {CLEW system, discrete optimization, mauritius Island, supply chain integration},\n\tpages = {3232--3238}\n}\n\n","author_short":["Saif, Y.","Almansoori, A."],"key":"saif_optimization_2017","id":"saif_optimization_2017","bibbaseid":"saif-almansoori-anoptimizationframeworkfortheclimatelandenergyandwaterclewsnexusbyadiscreteoptimizationmodel-2017","role":"author","urls":{"Paper":"http://www.sciencedirect.com/science/article/pii/S1876610217307774"},"keyword":["CLEW system","discrete optimization","mauritius Island","supply chain integration"],"downloads":0},"search_terms":["optimization","framework","climate","land","energy","water","clews","nexus","discrete","optimization","model","saif","almansoori"],"keywords":["clew system","discrete optimization","mauritius island","supply chain integration"],"authorIDs":[],"dataSources":["CGS6dhzhbmw7oQjzC"]}