Rajat Gupta

Prof. Rajat Gupta

Architecture, Oxford Brookes University, Oxford, Oxfordshire, UK
orcid

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
24 August 2010 in Building Research & Information
Verified
Journal Article
Closed access
Rajat GuptaRajat Gupta
Rajat Gupta
SCSmita Chandiwala
Smita Chandiwala
How can occupant feedback methods inform the management and design of low-carbon and whole-house refurbishment of dwellings? This is particularly relevant for large-scale, whole-house refurbishment programmes tasked with achieving deep cuts in carbon dioxide (CO2) emissions. Evidence from pre-refurbishment occupancy can influence which interventions are chosen and increase their efficacy. A critical review is undertaken of a portfolio of short- and long-term occupant feedback techniques for evaluating occupants' perception of comfort, satisfaction, behaviour, and expectations. A number of these occupant feedback techniques are then tested empirically at the pre-refurbishment stage for two discrete case-study house types as part of ongoing research. The evidence reveals wide gaps between modelled and actual energy consumption; poor indoor CO2 and daylight levels, low operating internal temperatures, as well as problematic noise transmission. Such findings influence the selection of suitable user-centred low-carbon refurbishment interventions and ensure that there is a robust learning process for building owners, occupants, designers, and building managers. To optimize time, cost, and occupant involvement, it is important that feedback from occupants on building performance focuses on ‘need-to-know’ rather than ‘nice-to-have’ factors. Comment les méthodes de feedback des occupants contribuent-elles à la gestion et à la conception des opérations de rénovation complète et bas carbone des logements d'habitation? Ceci s'applique tout particulièrement aux programmes de rénovation complète à grande échelle, auxquels il est donné pour tâche de réaliser de fortes réductions des émissions de dioxyde de carbone (CO2). Les données probantes obtenues auprès des occupants avant rénovation peuvent influer sur le choix des opérations et accroître leur efficacité. Il est entrepris un examen critique d'un portefeuille de techniques de feedback des occupants à court terme et à long terme, permettant d'évaluer le confort perçu, la satisfaction, le comportement et les attentes des occupants. Un certain nombre de ces techniques de feedback des occupants sont ensuite testées empiriquement lors de la phase préliminaire à la rénovation sur deux types de maisons faisant l'objet d'études de cas distinctes dans le cadre des recherches en cours. Les données probantes obtenues révèlent de gros écarts entre les consommations énergétiques modélisées et réelles; de mauvais niveaux intérieurs de CO2 et de lumière du jour, des températures intérieures de fonctionnement basses, ainsi que des problèmes d'insonorisation. De telles constatations influent sur la sélection d'opérations de rénovation adaptées, bas carbone et centrées utilisateurs, et garantissent l'existence d'un solide processus d'apprentissage pour les propriétaires des bâtiments, leurs occupants, leurs concepteurs et leurs gestionnaires. Afin d'optimiser la durée, les coûts et l'implication des occupants, il est important que le feedback des occupants concernant les performances des bâtiments se concentre sur les facteurs de type «need-to-know» (indispensable à savoir) plutôt que de type «nice-to-have» (accessoire). Mots clés: rendement énergétique, logement, rénovation bas carbone, feedback des occupants, évaluation après occupation, remise à niveau

10 April 2013 in Building Research & Information
Verified
Journal Article
Closed access
Rajat GuptaRajat Gupta
Rajat Gupta
MGMatt Gregg
Matt Gregg
As the impacts of climate change become more prominent within the next 50 years and beyond, the risk of overheating in homes is a concern. This is specifically relevant in the UK's suburbs where 84% of the population reside. To assess this future impact and the effectiveness of adaptive retrofitting, probabilistic climate change data for the 2030s and 2050s are used to assess the overheating risk in six suburban house archetypes in three cities in the UK: Bristol, Oxford and Stockport. The risks of overheating in typical constructions are assessed and the possibility of preventing overheating through the use of adaptation packages is evaluated through dynamic thermal simulation. Homes in Oxford show the greatest risk of overheating. The most effective (passive) package for tackling future overheating tends to combine fabric improvements and internal heat gain reduction. To assist planners and policy-makers in assessing and preventing overheating risk at a stock level, this adaptation package is further evaluated in selected neighbourhoods across the three case study cities, using the geographical information system (GIS)-based DECoRuM-Adapt (Domestic Energy, Carbon Counting and Carbon Reduction Model) model. The implications for public policy are that the existing housing stock must be future-proofed for a warming climate, particularly retrofit programmes (e.g. the Green Deal) and any upgrading of building regulations. Etant donné que les répercussions du changement climatique vont devenir de plus en plus importantes au cours des cinquante prochaines années et au-delà, le risque de surchauffe dans les habitations constitue un sujet de préoccupation. Ceci revêt une pertinence particulière dans les banlieues du Royaume-Uni dans lesquelles réside 84 % de la population. Afin d'évaluer cet impact futur et l'efficacité du réaménagement adaptatif, les données probabilistes relatives au changement climatique pour les années 2030 et 2050 sont utilisées pour évaluer le risque de surchauffe dans six archétypes de maisons suburbaines situés dans trois villes du Royaume-Uni : Bristol, Oxford et Stockport. Les risques de surchauffe dans des constructions types sont évalués et la possibilité de prévenir l'excès de chaleur par le recours à des trains de mesures d'adaptation est évaluée au moyen d'une simulation thermique dynamique. Les habitations situées à Oxford présentent le plus grand risque de surchauffe. Les mesures (passives) les plus efficaces pour s'attaquer aux futurs excès de chaleur tendent à combiner les améliorations apportées à l'enveloppe des bâtiments et une réduction interne du gain de chaleur. Afin d'aider les planificateurs et les décideurs à évaluer et à prévenir le risque de surchauffe au niveau du parc bâti, cet ensemble de mesures d'adaptation est évalué de manière plus poussée dans des quartiers sélectionnés sur les trois villes faisant l'objet de l'étude de cas, en utilisant le modèle DECoRuM-Adapt (Domestic Energy, Carbon Counting and Carbon Reduction Model – modèle d'énergie domestique, de comptabilisation du carbone, et de réduction du carbone), basé sur un système d'information géographique (SIG). Les implications pour les politiques publiques sont que la pérennité future du parc de logements existant doit être assurée en termes de réchauffement climatique, en recourant en particulier à des programmes de réaménagement (par ex. le New Deal vert) et à toute mise à jour de la réglementation du bâtiment. Mots clés: adaptation, changement climatique, logement, atténuation, surchauffe, réaménagement, suburbain


1 October 2021 in Energy Research & Social Science
Verified
Journal Article
Closed access
CWChad Walker
Chad Walker
PDPatrick Devine-Wright
Patrick Devine-Wright
MRMelanie Rohse
Melanie Rohse
Luke GoodingLuke Gooding
Luke Gooding
HDHannah Devine-Wright
Hannah Devine-Wright
Rajat GuptaRajat Gupta
Rajat Gupta

1 April 2015 in Building Research & Information
Verified
Journal Article
Closed access
Rajat GuptaRajat Gupta
Rajat Gupta
MGMatt Gregg
Matt Gregg
SPStephen Passmore
Stephen Passmore
GSGeoffrey Stevens
Geoffrey Stevens
The Retrofit for the Future programme, sponsored by UK government's Technology Strategy Board (TSB) from 2009 to 2013, demonstrated innovative approaches to deep retrofitting of social housing, using a whole-house approach for achieving an 80% CO2 reduction target. The intent and outcomes of this programme (in which all authors participated) are critically examined through a cross-project meta-study of the primary data, substantiated by insights from secondary sources. Given that only three (out of 45) projects met the expected CO2 target in reality, despite generous funding and professional expertise, it suggests that decarbonizing existing housing will not be particularly easy. Important lessons are found in this initiative's formulation, target setting, monitoring and evaluation procedures, and feedback mechanisms. These lessons can inform the formulation, delivery and effectiveness of future national energy retrofit programmes. Furthermore, to support the ‘scaling up’ of effective retrofit programmes and reduce the gap between intent and outcome, it is recommended that attention be moved from what level of CO2 reductions are to be achieved to how (delivery models) these radical reductions can be achieved and by whom (supply chain). Such alternative delivery models to the ‘whole house’ approach include retrofit over time, city-scale retrofit and community-based energy retrofits.

25 February 2015 in Advances in Building Energy Research
Verified
Journal Article
Closed access
Rajat GuptaRajat Gupta
Rajat Gupta
MKMariam Kapsali
Mariam Kapsali
New low-carbon houses are designed to reduce heat losses through improved airtightness and increased insulation, raising the risk of overheating and inadequate ventilation. This paper examines the overheating risks and indoor air quality (IAQ) of three sustainable social housing developments in England (UK), by conducting building performance monitoring and post-occupancy evaluation of six case-study dwellings. All the developments have been designed for Code for Sustainable Homes Levels 4 and 5. The case-study houses cover a variety of forms and different types of construction systems, but have similar occupancy profiles. Monitoring data on environmental conditions, IAQ and window/door opening are cross-related with the performance of fabric and systems as well as occupants' understanding, habits and behaviour. Findings indicate that indoor environmental conditions and air quality are determined by the performance of building fabric and systems as well as interaction of occupants with them. High indoor temperatures during summer are linked to window opening patterns and faults with underfloor heating system. While poor IAQ is linked with insufficient fresh air supply from the Mechanical Ventilation with Heat Recovery (MVHR) systems due to inadequate commissioning of the systems, coupled with lack of user comprehension in operating these systems because of poor guidance and inadequate user training. The findings reveal that there are interrelated socio-technical factors that determine the IAQ and occurrence of overheating in low-energy housing.