1985
DOI: 10.1016/0360-5442(85)90104-5
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Economic analysis of energy management for cooling systems in Kuwait

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Cited by 5 publications
(3 citation statements)
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“…(2012b); Popli et al., (2012); Mezher et al., (2012); Malik and Bouzguenda (2013); Abdul-Majeed et al., (2013); Hussein et al., (2013); Al-Amir and Abu-Hijleh (2013); Mokri et al., (2013); Chandarasekharam and Aref (2014); Ghaffour et al., (2014); Lashin and Al Arifi (2014); Abdmouleh et al., (2015); Baseer et al., (2015); Mondal et al., (2016); Ouda et al., (2016); Paleologos et al., (2016); Khondaker et al., (2016); Kumar et al., (2016); Jamil et al., (2016); Juaidi et al. (2016a); Gherboudj and Ghedira (2016); Mohan et al., (2016); Al-Maamary et al., 2017a, Al-Maamary et al., 2017b; Bou-Rabee et al., (2017); Nizami et al., (2017); Khan et al., (2017); Ramli et al., (2017); Mokheimer et al., (2017); Kouta et al., (2017); Alnaser (2018); Alnaser et al., (2018); Alsayegh et al., (2018); Almarshoud and Adam (2018)2EquilibriumAyyash et al., (1983); Ayyash (1983); Ayyash and Hammoudeh (1985); Al-Marafie et al., (1989); Kellow (1989); Al-Hinai et al., (1993); Burney and Al-Matrouk (1996); Dincer et al., (2004); Dincer et al., (2005); Eissa (2011); BuShehri and Wohlgenant (2012); Ahmad and Ramana (2014); Mondal et al., (2014); Matar et al., (2015); Juaidi et al. (2016b); Groissböck and Pickl (2016); Alasseri et al., (2017); Matar and Anwer (2017); Matar et al., (2017)3Investment OptimizationAlnatheer (2005); Al-Muhawesh and Qamber (2008); Farnoosh et al., (2014); Jayaraman et al., (2015); Almansoori and Betancourt-Torcat (2015); Jayaraman et al., (2017); Alshammari and Sarathy (2017); Baseer et al., (2017); …”
Section: Main Textmentioning
confidence: 99%
“…(2012b); Popli et al., (2012); Mezher et al., (2012); Malik and Bouzguenda (2013); Abdul-Majeed et al., (2013); Hussein et al., (2013); Al-Amir and Abu-Hijleh (2013); Mokri et al., (2013); Chandarasekharam and Aref (2014); Ghaffour et al., (2014); Lashin and Al Arifi (2014); Abdmouleh et al., (2015); Baseer et al., (2015); Mondal et al., (2016); Ouda et al., (2016); Paleologos et al., (2016); Khondaker et al., (2016); Kumar et al., (2016); Jamil et al., (2016); Juaidi et al. (2016a); Gherboudj and Ghedira (2016); Mohan et al., (2016); Al-Maamary et al., 2017a, Al-Maamary et al., 2017b; Bou-Rabee et al., (2017); Nizami et al., (2017); Khan et al., (2017); Ramli et al., (2017); Mokheimer et al., (2017); Kouta et al., (2017); Alnaser (2018); Alnaser et al., (2018); Alsayegh et al., (2018); Almarshoud and Adam (2018)2EquilibriumAyyash et al., (1983); Ayyash (1983); Ayyash and Hammoudeh (1985); Al-Marafie et al., (1989); Kellow (1989); Al-Hinai et al., (1993); Burney and Al-Matrouk (1996); Dincer et al., (2004); Dincer et al., (2005); Eissa (2011); BuShehri and Wohlgenant (2012); Ahmad and Ramana (2014); Mondal et al., (2014); Matar et al., (2015); Juaidi et al. (2016b); Groissböck and Pickl (2016); Alasseri et al., (2017); Matar and Anwer (2017); Matar et al., (2017)3Investment OptimizationAlnatheer (2005); Al-Muhawesh and Qamber (2008); Farnoosh et al., (2014); Jayaraman et al., (2015); Almansoori and Betancourt-Torcat (2015); Jayaraman et al., (2017); Alshammari and Sarathy (2017); Baseer et al., (2017); …”
Section: Main Textmentioning
confidence: 99%
“…The developed control technologies for saving energy in Table come from Table , including scheduling control, system optimization, and combination of these two technologies. Since 1982, the scheduling control technology was developed to save energy by preloading system schedule . The optimization technology could adjust system settings, including temperature, wind speed, and pressure, for reducing energy use and maintaining the thermal comfort level …”
Section: Bems Application Cases Surveymentioning
confidence: 99%
“…Since 1982, the scheduling control technology was developed to save energy by preloading system schedule. 1,33,70,71 The optimization technology could adjust system settings, including temperature, wind speed, and pressure, for reducing energy use and maintaining the thermal comfort level. 69,72,73,[78][79][80] Table 3 presents the artificial lighting system cases managed by BEMS.…”
Section: Bems Application Cases Surveymentioning
confidence: 99%