ORCID Profile
0000-0002-4385-9734
Current Organisation
Murdoch University
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Publisher: Elsevier BV
Date: 09-2012
Publisher: Elsevier BV
Date: 12-2018
Publisher: Elsevier BV
Date: 2012
Publisher: Elsevier BV
Date: 11-2020
Publisher: Elsevier BV
Date: 12-2017
Publisher: Elsevier BV
Date: 03-2014
Publisher: Elsevier BV
Date: 12-2018
Publisher: Elsevier BV
Date: 03-2009
Publisher: Elsevier BV
Date: 09-2013
Publisher: Elsevier BV
Date: 09-2020
Publisher: Elsevier BV
Date: 04-2019
Publisher: Elsevier BV
Date: 09-2023
Publisher: Elsevier BV
Date: 02-2009
Publisher: Elsevier BV
Date: 05-2017
Publisher: Elsevier BV
Date: 10-2015
Publisher: Elsevier BV
Date: 12-2016
Publisher: Elsevier BV
Date: 08-2015
Publisher: Elsevier BV
Date: 05-2018
Publisher: Elsevier BV
Date: 03-2018
Publisher: Elsevier BV
Date: 10-2017
Publisher: Elsevier BV
Date: 2012
Publisher: IEEE
Date: 11-2016
Publisher: Elsevier BV
Date: 05-2016
Publisher: Elsevier BV
Date: 12-2012
Publisher: Elsevier BV
Date: 12-2018
Publisher: Elsevier BV
Date: 10-2015
Publisher: Springer Science and Business Media LLC
Date: 06-03-2018
Publisher: Elsevier BV
Date: 02-2019
Publisher: IEEE
Date: 10-2018
Publisher: Elsevier BV
Date: 11-2014
Publisher: Elsevier BV
Date: 12-2020
Publisher: Elsevier BV
Date: 08-2020
Publisher: IEEE
Date: 2016
Publisher: Elsevier BV
Date: 08-2020
Publisher: Elsevier BV
Date: 07-2020
Publisher: Elsevier BV
Date: 09-1996
Publisher: Elsevier BV
Date: 04-2017
Publisher: Elsevier BV
Date: 07-2014
Publisher: Elsevier BV
Date: 12-2013
Publisher: Elsevier BV
Date: 02-2019
Publisher: Elsevier BV
Date: 05-2014
Publisher: Elsevier BV
Date: 04-2019
Publisher: IOP Publishing
Date: 19-02-2021
Abstract: As current action remains insufficient to meet the goals of the Paris agreement let alone to stabilize the climate, there is increasing hope that solutions related to demand, services and social aspects of climate change mitigation can close the gap. However, given these topics are not investigated by a single epistemic community, the literature base underpinning the associated research continues to be undefined. Here, we aim to delineate a plausible body of literature capturing a comprehensive spectrum of demand, services and social aspects of climate change mitigation. As method we use a novel double-stacked expert—machine learning research architecture and expert evaluation to develop a typology and map key messages relevant for climate change mitigation within this body of literature. First, relying on the official key words provided to the Intergovernmental Panel on Climate Change by governments (across 17 queries), and on specific investigations of domain experts (27 queries), we identify 121 165 non-unique and 99 065 unique academic publications covering issues relevant for demand-side mitigation. Second, we identify a literature typology with four key clusters: policy, housing, mobility, and food/consumption. Third, we systematically extract key content-based insights finding that the housing literature emphasizes social and collective action, whereas the food/consumption literatures highlight behavioral change, but insights also demonstrate the dynamic relationship between behavioral change and social norms. All clusters point to the possibility of improved public health as a result of demand-side solutions. The centrality of the policy cluster suggests that political actions are what bring the different specific approaches together. Fourth, by mapping the underlying epistemic communities we find that researchers are already highly interconnected, glued together by common interests in sustainability and energy demand. We conclude by outlining avenues for interdisciplinary collaboration, synthetic analysis, community building, and by suggesting next steps for evaluating this body of literature.
Publisher: Elsevier BV
Date: 03-2018
Publisher: IEEE
Date: 10-2019
Publisher: Elsevier BV
Date: 05-2015
Publisher: Elsevier BV
Date: 04-2015
Publisher: IOP Publishing
Date: 06-2018
Publisher: IEEE
Date: 10-2018
Publisher: Elsevier BV
Date: 11-2016
Publisher: Wiley
Date: 2001
DOI: 10.1002/PIP.376
Publisher: Elsevier BV
Date: 05-2020
Publisher: Elsevier BV
Date: 11-2019
Publisher: Elsevier BV
Date: 05-2017
Publisher: Elsevier BV
Date: 12-2013
Publisher: Elsevier BV
Date: 05-2012
Publisher: Elsevier BV
Date: 11-2019
Publisher: Elsevier BV
Date: 12-2017
Publisher: Elsevier BV
Date: 06-2020
Publisher: Elsevier BV
Date: 04-2014
Publisher: Elsevier BV
Date: 09-2017
Publisher: Elsevier BV
Date: 11-2011
Publisher: Elsevier BV
Date: 11-2011
Publisher: Elsevier BV
Date: 04-2020
Publisher: IEEE
Date: 10-2018
Publisher: IEEE
Date: 10-2018
Publisher: IOP Publishing
Date: 09-2019
DOI: 10.1088/1757-899X/609/6/062029
Abstract: Indoor environmental parameters especially the air temperature have substantial effect on energy consumption in commercial buildings and indoor thermal comfort. This study presents a tuning approach of dynamic control strategy of temperature set-point with a view to improving occupants’ thermal comfort while simultaneously minimizing energy consumption. To determine optimum temperature set-points in response to ambient conditions, this study investigates the thermal comfort conditions of a commercial building based on real time series data. To quantify thermal environmental conditions for human occupancy, this study uses the graphical comfort zone method proposed by ASHRAE Standard 55-2017 through a rigorous analysis. Based on this analysis the study narrows down the comfort range in the context of seasonal variations and proposes tuning the Master Temperature Set-Points (MTSP) with 4.8°C variable linear band between upper and lower temperatures dependent on a simple algorithm. This re-setting strategy of temperature set-point ultimately offers extended lower and upper boundary limit for variable linear band. Extension of linear band for MTSP reduces the gap between temperature set-point and outdoor temperature which ultimately offers less heating and cooling energy consumption. Results show that implementation of this proposed approach would lead to monthly 2707.94 kWh energy savings either from heating or cooling or both during winter and summer season.
No related grants have been discovered for Tania Urmee.