2012
DOI: 10.1016/j.energy.2012.09.042
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Projections of energy services demand for residential buildings: Insights from a bottom-up methodology

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Cited by 67 publications
(24 citation statements)
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“…The CLUES project designed four storylines about the UK energy system 2050 and subsequently quantified the storylines using the Tyndall model [41]. Gouveia et al developed projections of energy services demand for residential buildings for Portugal and checked the robustness of their TIMES-PT model results using 'sensitivity analysis scenarios'; no detailed information about their construction is available [42]. Capell an-P erez et al used a meta-study about global socio-economic scenarios [43] to define a set of storylines, driving a system-dynamics energy model with focus on global fossil fuel depletion [44].…”
Section: State Of Transfer To Energy Researchmentioning
confidence: 99%
“…The CLUES project designed four storylines about the UK energy system 2050 and subsequently quantified the storylines using the Tyndall model [41]. Gouveia et al developed projections of energy services demand for residential buildings for Portugal and checked the robustness of their TIMES-PT model results using 'sensitivity analysis scenarios'; no detailed information about their construction is available [42]. Capell an-P erez et al used a meta-study about global socio-economic scenarios [43] to define a set of storylines, driving a system-dynamics energy model with focus on global fossil fuel depletion [44].…”
Section: State Of Transfer To Energy Researchmentioning
confidence: 99%
“…6 Our estimate of total floor area available in the ESCO market relies on buildings data from several sources including the U.S. EIA (energy information administration); the U.S. GSA (general services agency); the U.S. Department of HUD (housing and urban development) and the CLPHA (Council of Large Public Housing Authorities). Unfortunately, we do not have enough information to determine what percentage of that floor area is economically feasible for ESCOs (or their customers) to retrofit.…”
Section: Estimating Esco Industry Remaining Market Investment and Savmentioning
confidence: 99%
“…The study showed that occupant behaviour and family composition strongly affected the functioning and occupant preferences for indoor thermal environments, and that occupants' adaptations markedly affected the energy consumption and overall energy efficiency of the house. Despite the existence of some work done in the thermal comfort field, only three bottom-up models (SLABE (Mauro et al, 2015), Penna et al (2015) and TIMES (Gouveia et al, 2012)) have included it as an energy assessment variable.…”
Section: Selection Of Response Variables and Covariatesmentioning
confidence: 99%