2016
DOI: 10.1016/j.energy.2016.05.026
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Economic and environmental optimization for distributed energy resource systems coupled with district energy networks

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Cited by 113 publications
(50 citation statements)
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“…Socially, renewable energy-based industries are more labor-intensive compared to fossil fuel-based technologies because of their continued development process. Hence, the investment in the DG technologies may represent a real opportunity to meet the load growth by adopting low-cost, low-carbon, and high-efficient capacity expansion alternatives [5], [6].…”
Section: Introductionmentioning
confidence: 99%
“…Socially, renewable energy-based industries are more labor-intensive compared to fossil fuel-based technologies because of their continued development process. Hence, the investment in the DG technologies may represent a real opportunity to meet the load growth by adopting low-cost, low-carbon, and high-efficient capacity expansion alternatives [5], [6].…”
Section: Introductionmentioning
confidence: 99%
“…Today power networks are face to some alterations. These networks are going toward a smart grid scheme because this paradigm is environmental friendly . The microgrid (MG) has a significant role in this trend .…”
Section: Introductionmentioning
confidence: 99%
“…These networks are going toward a smart grid scheme because this paradigm is environmental friendly. 1 The microgrid (MG) has a significant role in this trend. 2 The MG is introduced by Lotfi and Khodaei 3 as a blending of the loads with distributed generations (DGs).…”
Section: Introductionmentioning
confidence: 99%
“…Mehleri [15] proposed a mixed integer programming model for the design of distributed energy generation systems that meeting heating and power demand at the small neighborhood level. Li [16] developed a MILP model to optimize the economic and environmental performance of a distributed energy system coupled with regional energy networks, the method is of great significance to the operational strategy and evaluation indicators of DER systems at the neighborhood level. Huang [17] proposed a goal programming approach to calculate the energy planning indicators, it has the potential to conduct dynamic variation analysis of community energy flow more flexibly and reliably.…”
Section: Introductionmentioning
confidence: 99%