Energy-efficient management modeling towards interior thermal comfort: an architectural element manipulating case study on small detached houses in Bangkok

Keonil, Nuchnapang; Sahachaisaeree, Nopadon

doi:10.1016/j.sbspro.2010.07.266

Cited by 1 publication

(2 citation statements)

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“…Their expected comfort temperature has been found to be as up to 4 degrees higher than the proposals made in EN 15251 [6]. This fact can be introduced in adaptive model as well, but should be discussed in detail with local people.…”

Section: Adaptive and Hybrid Conceptsmentioning

confidence: 84%

“…with operable windows, personal switches for artificial light, manageable mechanical ventilation, thermostats etc. In case users are able to adapt themselves to (eventually higher) indoor temperatures during hot periods by changing their clothes, they feel better in remarkably higher temperatures than in non-adaptive (air-conditioned) buildings [6]. Such a measure can be put in place for example by a weakened dress code or no regulations for clothing at all.…”

Section: Adaptive and Hybrid Conceptsmentioning

confidence: 99%

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Prognosis method for the energy demand of nearly-zero-energy buildings in different climates

Dietrich¹,

Kiehl²,

Stoica³

2014

WIT Transactions on the Built Environment

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The European Directive 2010/31 claims that from 2020 on, only (nearly-) zeroenergy buildings may be built. To reach this, buildings have to be optimised energetically. The remaining energy demand has to be covered by renewable energy sources (PV, geothermal etc.) gained nearby, e.g. on site. Comparable predefined plot and office building sizes are investigated for all main climate zones around the globe. Each case study leads to a different energy demand, even though, the same energy generation systems have been applied being PV for power and geothermal energy for heating and cooling. The analysis investigates first, whether the limiting factor to reach a nearly-zero-energy building is in the PV or the geothermal system. Furthermore, in all case studies, the balance between the usable floor area and the surface area for renewable energy sources (roof surface area for PV, plot size for geothermal) is investigated. From this, the maximum numbers of storeys (which can be heated/ cooled) are given per location. Furthermore, consequences for the urban pattern of nearly-zero-energy buildings (like street width and building heights) are highlighted. The main outcome is a correlation between simulated data for the energy demand and climate data. If the architectural optimization follows the local climatic needs, linear equations appear between the simulated energy demand and the climate data for a scenario of optimised buildings. The equations for annual heating or cooling demand and heating or cooling degree hours are given.

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Section: Adaptive and Hybrid Conceptsmentioning

confidence: 84%

Section: Adaptive and Hybrid Conceptsmentioning

confidence: 99%