2013
DOI: 10.1016/j.rser.2012.11.014
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Energy status in Lebanon and electricity generation reform plan based on cost and pollution optimization

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Cited by 41 publications
(20 citation statements)
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“…Hence, in this study there are four objective functions to be minimized: f1=min ("Auxiliary electric heater + Pump" consumptions) f2=min (Thermal demand) f3=min (Difference between load and generation) f4=min (LCC) Table II provides the list of building passive and RE systems decision variables. Furthermore, the implementation costs of different design options are derived from [10], [11], [12], [13] and [14].The optimization problem is constrained by the following condition: the average predicted mean vote (PMV) of the whole building must remain between its acceptable bounds |PMV|≤ 0.5.…”
Section: A Objective Functions and Decision Variablesmentioning
confidence: 99%
“…Hence, in this study there are four objective functions to be minimized: f1=min ("Auxiliary electric heater + Pump" consumptions) f2=min (Thermal demand) f3=min (Difference between load and generation) f4=min (LCC) Table II provides the list of building passive and RE systems decision variables. Furthermore, the implementation costs of different design options are derived from [10], [11], [12], [13] and [14].The optimization problem is constrained by the following condition: the average predicted mean vote (PMV) of the whole building must remain between its acceptable bounds |PMV|≤ 0.5.…”
Section: A Objective Functions and Decision Variablesmentioning
confidence: 99%
“…Electricity generated in the country originates mostly from fossil sources that need to be imported. Following the 2020 objective for 12% of electricity from renewable sources in Lebanon [1], some studies have pointed out that electricity from renewable sources-solar and wind energy-needs to be incorporated into the electric mix [2][3][4][5]. Younes et al [6] suggested that a decentralized policy for energy production could contribute to the economic feasibility of incorporating renewables into the Lebanese electric system.…”
Section: Introductionmentioning
confidence: 99%
“…Generally speaking, the accuracy of the meteorological models used one decade ago was far poorer than the current assimilation algorithms used in ERA5. The model used was the MC 2 (MesoscaleCompressibleCommunity) computational model [44].…”
mentioning
confidence: 99%
“…Arguably, a political inertia hinders the needed price rises for tariffs to match costs, and these are compounded by the prevalence of theft on the grid and inefficiencies in payment collection (Hasbani, 2011). These "non-technical" deficiencies or political barriers (Ibrahim et al, 2013) are often cited as causes for the longstanding electricity crisis, but very view studies have unpacked the nature and extent of these challenges insofar as the ramifications of the crisis have affected the provision of electricity in Lebanon's cities and towns (c.f. Gabillet, 2010;Verdeil, 2016).…”
Section: Introductionmentioning
confidence: 99%