Operational Emissions in Prosuming Dwellings: A Study Comparing Different Sources of Grid CO 2 Intensity Values in South Wales, UK

Juan Pablo Fernández Goycoolea, Gabriela Zapata-Lancaster and Christopher Whitman
Additional contact information
Juan Pablo Fernández Goycoolea: Welsh School of Architecture, Cardiff University, Cardiff CF10 3NB, UK
Gabriela Zapata-Lancaster: Welsh School of Architecture, Cardiff University, Cardiff CF10 3NB, UK
Christopher Whitman: Welsh School of Architecture, Cardiff University, Cardiff CF10 3NB, UK

Energies, 2022, vol. 15, issue 7, 1-24

Abstract: This paper analysed operational CO 2 emissions from electricity grid interaction in photovoltaic prosumer dwellings in South Wales, UK. Operational CO 2 emissions were quantified in four prosumer dwellings aiming to analyse (1) the differences in the result when time-varying data and static emission factors are used, and (2) the association of load-matching indicators to the results. Electricity balance data were obtained through monitoring (April 2020 to March 2021), and three sources for the grid’s CO 2 intensity were considered: (1) UK nationwide average time-varying values (UK), (2) South Wales (SW) average time-varying values and (3) the UK Government’s official CO 2 emissions factor (EF) for the study period. UK and SW grid CO 2 intensity were obtained as dynamic data flows in a 30 min resolution, whereas EF was a year constant. Gross CO 2 emissions calculated using SW data reached the highest emissions results: between 67.5% and 69.3% higher than the results obtained using the UK time-varying data, and between 41.1% and 45.1% higher than using the EF. The differences between the obtained yearly net emissions using dynamic data and the EF in each studied dwelling ranged between 6.2% and 294%. Results also show that the definition of geographic boundaries for location-based approach calculations can significantly affect the obtained emissions values.

Keywords: net emissions; operational CO 2 emissions; on-grid PV; prosumer dwelling; South Wales; demand-side management; CO 2 intensity; monitoring data (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/7/2349/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/7/2349/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:7:p:2349-:d:777931

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().