2018
DOI: 10.1016/j.energy.2018.06.179
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Optimizing the insulation thickness of walls and roofs of existing buildings based on primary energy consumption, global cost and pollutant emissions

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Cited by 81 publications
(27 citation statements)
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References 49 publications
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“…For the preference coefficient of the integrated weight, there is no explicit computational method. To solve this issue, a new algorithm was proposed to determine the preference coefficient of the integrated weight based on the least square method [35] in this study. The integrated weight algorithm proposed in this study has more explicit physical significance due to application of the least square method, that is, the error sum of the square among integrated, subjective and objective weights achieves the minimum value.…”
Section: Discussionmentioning
confidence: 99%
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“…For the preference coefficient of the integrated weight, there is no explicit computational method. To solve this issue, a new algorithm was proposed to determine the preference coefficient of the integrated weight based on the least square method [35] in this study. The integrated weight algorithm proposed in this study has more explicit physical significance due to application of the least square method, that is, the error sum of the square among integrated, subjective and objective weights achieves the minimum value.…”
Section: Discussionmentioning
confidence: 99%
“…However, the assessment process has two weaknesses: on the one hand, the fuzzy evaluation method does not reflect the randomness of assessment result; on the other hand, the subjective analytic hierarchy process does not take advantage of the objectivity of real data. The cloud model [22][23][24] was introduced to take randomness into consideration, the integrated weight method [33] was adopted, and a new algorithm was proposed to determine the preference coefficient of the integrated weight based on the least square method [35] in this study. To validate the cloud model and integrated weight algorithm for the safety assessment, grey relational analysis [16][17][18] was applied.…”
Section: Framework Of the Proposed Safety Assessment Methodsmentioning
confidence: 99%
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“…The alternative changes in insulation thickness of walls and roofs during building envelope retrofit were optimized based on the primary energy consumption. It is concluded that the variants of PESR (primary energy saving ratio) versus various insulation thickness of walls and roofs based on Jie et al [23]' study.The construction material was in situ, protected concrete, and the external walls were coated brick walls. The windows were double-glazed glass with aluminum frames.…”
Section: Building Insulationmentioning
confidence: 93%
“…Their studies proved that greenhouse gas emissions associated with the ITEWB were reduced at the economic insulation thickness compared to that at the zero thickness. The necessity of considering the integrated impacts in the optimization criteria is proved by [14,32,33]. These findings showed the significant impact of criteria on the OTWRB.…”
Section: Introductionmentioning
confidence: 91%