2018
DOI: 10.1016/j.enbuild.2018.06.004
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A comparative analysis of building energy estimation methods in the context of demand response

Abstract: A critical element of assessing a building's suitability for Demand Side Response (DSR) is understanding Highlights  Four DSR estimation methods were evaluated using empirical data from two hotels  The DSR estimation methods were found to have a wide range of error levels  The comparisons of methods allows for informed selection of a DSR estimation method based on available input information

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Cited by 10 publications
(3 citation statements)
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“…In the case of residential buildings, different load curve models were evaluated and analyzed to provide energy models that consider end uses, habits, and behaviors [7]. Energy estimation with better accuracy can also determine the suitable demand side response from the available information with tolerance to estimation error [8]. This estimation methodology to assess the energy consumption in a building has significant benefits in terms of energy efficiency evaluation and potential energy savings [9].…”
Section: Introductionmentioning
confidence: 99%
“…In the case of residential buildings, different load curve models were evaluated and analyzed to provide energy models that consider end uses, habits, and behaviors [7]. Energy estimation with better accuracy can also determine the suitable demand side response from the available information with tolerance to estimation error [8]. This estimation methodology to assess the energy consumption in a building has significant benefits in terms of energy efficiency evaluation and potential energy savings [9].…”
Section: Introductionmentioning
confidence: 99%
“…These costs can vary considerably between organisations [109,119] and can be very high [76,81,89]. In addition to the capital costs, there are also hidden production costs such as time spent finding suitable equipment for participating in DSR, which have been highlighted as one of the main barriers to participation [121]. Equipment may be unsuitable because it cannot meet DSR performance requirements, such as responding to a DSR signal within a specified timeframe or because it is unable to interact with the businesses' existing equipment.…”
Section: Hidden Costsmentioning
confidence: 99%
“…This bottom-up approach allows the estimation of potentials on the resolution of appliances and sectors and is different from methods estimating the DR potential based on load profiles, electricity usage records or building energy modelling (cp. Curtis et al [30]). The practical potential additionally requires data on the willingness to use the appliances for DR purposes.…”
Section: Evaluation Of Demand Response Potentialsmentioning
confidence: 99%