2017
DOI: 10.1007/s10479-017-2566-4
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Abstract: Sustainable energy generation is a key feature in sustainable development and among various sources of energy electricity due to some unique characteristics seems particularly important. Optimising electricity generation mix is a highly complex task and requires consideration of numerous conflicting criteria. To deal with uncertainty of experts’ opinions, inaccuracy of the available data and including more factors, some of which are difficult to quantify, in particular for environmental and social criteria, we… Show more

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Cited by 67 publications
(36 citation statements)
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“…Regional markets with innovative technologies have the capacity to facilitate progress while not compromising emission control commitments [99]. the role of industrial electrification and subsequently the electrification options and decisions [106] that are required to control and impact on energy and industrial emissions intensity. This may further spring interest in the innovation interplay between utilities and energy users [107].…”
Section: Discussionmentioning
confidence: 99%
“…Regional markets with innovative technologies have the capacity to facilitate progress while not compromising emission control commitments [99]. the role of industrial electrification and subsequently the electrification options and decisions [106] that are required to control and impact on energy and industrial emissions intensity. This may further spring interest in the innovation interplay between utilities and energy users [107].…”
Section: Discussionmentioning
confidence: 99%
“…The increasing contribution of renewables (with fewer curtailments) can effectively reduce carbon intensity of power generation. Certainly, sustainable electricity sector planning needs to consider a wider range of parameters and embed effective climate change targets [52]. Domestically, there is clear trend that China is moving away from coal-fired based power generation to a low-carbon power generation pathway.…”
Section: Discussionmentioning
confidence: 99%
“…Compared with the previously mentioned subjective valuation methods such as AHP and expert scoring, entropy weight methods have higher precision, are better able to explain the obtained results, are adaptable, and can be used in any process that needs weight determinations [35]. Grey relational analysis (GRA), which is a grey system with incomplete information, has been widely used in agriculture, industry, the economy, management, and other disciplines and has achieved good results [36][37][38]. GRA has a simple structure, a small amount of calculation, and the distribution data law does not need to be considered in the analysis [39].…”
Section: Research On Sustainable Evaluation Methodsmentioning
confidence: 99%