Data underpinning research article "Optimising Renewable Energy Integration in New Housing Developments with Low Carbon Technologies"

Files

Data for Figure 5- daily power deamnd per house type.xlsx (25.3 KB)
Data for Figure 4-Average daily solar irradiance for typical weather conditions in UK.xlsx (15.89 KB)
Data for Figure 6- daily electricity generation and consumption profile.xlsx (40.86 KB)
Data for Figure 7-maximum vs optimal storage.xlsx (22.14 KB)
Data for Figure 8- NPV for different houses.xlsx (20.64 KB)

Date published

2021-02-09 00:33

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Authors

Chowdhury, Jahedul
Ozkan, Nazmiye
Hart, Phil
Varga, Liz
Hu, Yukun

Supervisor/s

Journal Title

Journal ISSN

Volume Title

Publisher

Cranfield University

Department

Type

Dataset

ISSN

Format

URI

https://dspace.lib.cranfield.ac.uk/handle/1826/22458

Citation

Chowdhury, Jahedul; Ozkan, Nazmiye; Hart, Phil; Varga, Liz; Hu, Yukun (2021). Data underpinning research article "Optimising Renewable Energy Integration in New Housing Developments with Low Carbon Technologies". Cranfield Online Research Data (CORD). Dataset. https://doi.org/10.17862/cranfield.rd.13550156

Abstract

This file includes data for energy demand and generation profile for different house types in the UK. It also contains data for daily average solar irradiance for typical UK weather conditions that were used for calculating PV outputs.

Description

Software Description

Software Language

Github

Keywords

New housing developments', 'Solar PV', 'Renewable energy sources (RES)', 'Electric vehicles (EVs)', 'battery storage systems', 'Grid impacts', 'Energy Generation, Conversion and Storage Engineering', 'Renewable Power and Energy Systems Engineering (excl. Solar Cells)'

DOI

10.17862/cranfield.rd.13550156

Rights

CC BY 4.0
https://creativecommons.org/licenses/by/4.0/

Relationships

Relationships

Supplements

Funder/s

EPSRC EP/P004636/1

Collections

Aerospace