Data on the daily electricity load profile and solar photovoltaic (PV) system components for residential buildings in Lagos, Nigeria

Enongene, K.E.; Abanda, Fonbeyin Henry; Otene, I. J. J.; Ifeakarochukwu, Sheila; Okafor, C.C.

doi:10.1016/j.dib.2020.105531

Cited by 5 publications

(5 citation statements)

References 2 publications

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“…These are Massey University, New Zealand (Enongene et al. , 2016, 2017, 2019, 2020), Ecole Nationale Supérieure Polytechnique de Yaoundé Cameroon (Charly et al. , 2010), Ahmadu Bello University, Zaria, Nigeria (Abdullahi et al.…”

Section: Findings and Discussionmentioning

confidence: 99%

Section: An Appraisal Of the Various Research Outputsmentioning

confidence: 99%

“…Other than supervising students in Oxford Brookes University, the author has mentored students to publish from other universities. These are Massey University, New Zealand (Enongene et al, 2016(Enongene et al, , 2017(Enongene et al, , 2019(Enongene et al, , 2020, Ecole Nationale Sup erieure Polytechnique de Yaound e Cameroon (Charly et al, 2010), Ahmadu Bello University, Zaria, Nigeria (Abdullahi et al, 2019). Some of the articles are Q1 categories in Scimago.…”

Section: An Appraisal Of the Various Research Outputsmentioning

confidence: 99%

“…6.2.2 Alignment of research and teaching interest. Out of the 23 research articles produced by students discussed in this study, 18 were focused on digital construction technologies and BIM, 4 were on renewable energy technologies (Enongene et al, 2016(Enongene et al, , 2017(Enongene et al, , 2019(Enongene et al, , 2020, 1 on women in construction (Naqadi and Abanda, 2015). It is important to note that the research interests of the author of this article are BIM, Digital Construction Technologies and Renewable Energy.…”

Section: Lessons Learnt and Implicationsmentioning

confidence: 99%

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Research-informed teaching for assessing BIM courses during COVID-19 and beyond

Abanda

2022

JARHE

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PurposeIn the COVID-19 era, where blended learning is gaining popularity, research-informed teaching could be one of the alternatives or options to assess students' progress in Higher Education institutions. In the past, educators have assessed students' research skills gained from research-informed teaching through coursework components or assignments. However, whether the assignments can be converted into peer-reviewed output acceptable in a reputable journal or conference has hardly been investigated. This study explores how research-informed teaching has been rolled out in undergraduate/postgraduate BIM related modules/programmes in the School of the Built Environment, Oxford Brookes University and which has culminated in high quality published outputs.Design/methodology/approachThe method used is purely qualitative in-depth interviews, where students who have published were tracked and invited to share their experiences. In total, nine former students of the 12 invited, participated in the interviews. Inductive content analysis, a suitable qualitative data analysis technique was used in analysing the feedback from the interviews.FindingsThe main finding is that research-informed teaching can be done in a technical and complex BIM discipline and students' coursework components or assignments can further be converted into published outputs.Research limitations/implicationsThe main limitation of this study was that the sample was small. That notwithstanding, it has provided valuable insights into the understanding of student's ability to undertake research while studying and experiences of how educators can deliver research-informed teaching to students in Higher Education institutions.Originality/valueThe study adds to the existing body of literature about undergraduate and postgraduate research-informed teaching and goes further to provide strong evidence through published outputs thereby confirming that students at both levels can indeed conduct and publish peer-reviewed research articles while undertaking their studies.

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Section: Findings and Discussionmentioning

confidence: 99%

Section: An Appraisal Of the Various Research Outputsmentioning

confidence: 99%

Section: An Appraisal Of the Various Research Outputsmentioning

confidence: 99%

Section: Lessons Learnt and Implicationsmentioning

confidence: 99%

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Research-informed teaching for assessing BIM courses during COVID-19 and beyond

Abanda

2022

JARHE

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“…Indeed, state-of-the-art models for residential demand forecasting are based on either survey methods [14,22,37] or high time-resolution data [38] (e.g., provided by SMs). For instance, Ge et al [20] modelled daily load profiles through a generative network, setting a training dataset of real load profiles and mapping such profiles' probability distribution.…”

Section: Literature Reviewmentioning

confidence: 99%

Italian Household Load Profiles: A Monitoring Campaign

2020

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The increasing share of renewable energy sources on the supply side, as well as the so-called electrification pathways on the demand side, has led to peculiar challenges for electrical systems: Indeed, the increasing load demand has to be balanced from the supply-side viewpoint. In particular, the residential sector contributes to nearly 26% of the final energy consumption in Europe, suggesting that a further understanding of households’ consumptions and load profiles is needed to support an energy transition. In this context, this paper contributes to the existing discussion by proposing a sociodemographic analysis of Italian households’ load profiles using a smart metering experimental study, while also considering the households in energy poverty conditions. For the sake of generality, results are presented based on a previously proposed household segmentation of the Italian residential sector. The outcomes point out three prominent peaks on load profiles for all the identified clusters, with a notable distinction in intensity. Where children are present, a higher load profile is noted, reaching a maximum value of 600 W of absorbed power between 19:30 and 22:30. Conversely, households in an energy poverty condition show a relatively regular load profile, ranging from a minimum of 110 W of absorbed power in baseload conditions at night time to a maximum of 280 W in the evening hours. The findings in this paper are in agreement with existing research in the field, and accordingly the study proposes a better focus on domestic appliances and sociodemographic parameters.

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Co-modeling and Optimal Control of a Solar Power Integrated with Variable Load Energy Management System and Battery Energy Storage System

Zhang

2023

Applied Economics and Policy Studies

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Data on the daily electricity load profile and solar photovoltaic (PV) system components for residential buildings in Lagos, Nigeria

Cited by 5 publications

References 2 publications

Research-informed teaching for assessing BIM courses during COVID-19 and beyond

Research-informed teaching for assessing BIM courses during COVID-19 and beyond

Italian Household Load Profiles: A Monitoring Campaign

Co-modeling and Optimal Control of a Solar Power Integrated with Variable Load Energy Management System and Battery Energy Storage System

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