2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Syst 2018
DOI: 10.1109/eeeic.2018.8493651
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Multi-Criteria Planning Tool for a Net Zero Energy Village

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Cited by 8 publications
(5 citation statements)
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References 13 publications
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“…The data relating to spatial development are necessary to estimate the visual impact of installing new infrastructures (i.e., small wind turbines on the roof). In this case, the virtual reality technic might support the decision-makers and speed up the decisional process [44]. Finally, the enterprise's internal strategy might prescribe particular conditions, which could limit or accelerate the planning process.…”
Section: Requirements Analysismentioning
confidence: 99%
“…The data relating to spatial development are necessary to estimate the visual impact of installing new infrastructures (i.e., small wind turbines on the roof). In this case, the virtual reality technic might support the decision-makers and speed up the decisional process [44]. Finally, the enterprise's internal strategy might prescribe particular conditions, which could limit or accelerate the planning process.…”
Section: Requirements Analysismentioning
confidence: 99%
“…The concept of nearly zero-energy building, introduced by the European Energy Performance of Buildings Directive [41] with the aim of pushing for maximizing energy efficiency and increasing the share of renewable energy at building level, brought along the concepts of nearly zero-energy district (NZED) and residential net zero energy system that apply to intermediate or urban scale [42,43]. They consider multi-energy systems to satisfy residential/ commercial and public infrastructure electricity demand, as well as mobility and heating/ cooling energy demand.…”
Section: Res In Urban Contextmentioning
confidence: 99%
“…The proposed approach uses the outputs of the daily optimization described in Section 2.1 to provide an estimation of the annual technical and economic performances of different NZMES sizing options. Although numerous indices can be introduced [15], in this paper, the focus was made on self-sufficiency and (levelized) cost of energy so that sizing options can be easily weighted. Moreover, this simplifying assumption allows to have a straightforward perception of how much self-sufficiency weights on energy cost.…”
Section: Long-term Optimal Sizingmentioning
confidence: 99%
“…The methodology used for assessing the annual energy demand for electric, thermal, and (electric) transportation loads is described in Ref. [15]. Heat and electricity demands related to the building component are calculated according to a model that includes weather conditions, buildings' typology and geometry, number of living persons, specific annual consumption, and room temperatures.…”
Section: Model Of a Nzmesmentioning
confidence: 99%
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