Multi-criterial decision-making framework to identify the optimal on-site hybrid renewable energy system for the representative retrofitted domestic buildings in Wales and England

Cui, Zhehao (John) 2023. Multi-criterial decision-making framework to identify the optimal on-site hybrid renewable energy system for the representative retrofitted domestic buildings in Wales and England. PhD Thesis, Cardiff University. Item availability restricted.

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Abstract

The research project created a decision-making framework to identify the optimal hybrid renewable energy system (HRES) for the retrofitted home in Wales and England. The HRES combines at least two UK government-recognised renewable systems, working with or without energy storage to supply different demands simultaneously. The optimal HRES is the most economically and practically feasible and environmentally friendly solution, helping the UK government to achieve the agreed climate change target by 2050 in the building sector. The development of the decision-making framework consists of two steps. The first step is to select the representative retrofitted home in Wales and England using the defined building character indicators. It then collects the economic-technical environmental data of each potential renewable system and the representative energy tariff and emission factor of the national grid and natural gas in 2022. The second step is to create several different spreadsheets to evaluate the performance of HRES, calculate the weighting values and rank HRES. It first creates a spreadsheet to assess the economic-technical-environmental performance of HRES supported by the collected data from the first step. It also creates a spreadsheet to calculate the weighting values of such performance indicators based on the collected perceptions from the surveyed householders in Cardiff. Finally, it creates the spreadsheet to rank HRES supported by the evaluated performance results and the calculated weighting values. The PV+ASHP+STC is the optimal combination under the weighting values from the surveyed householders’ perceptions. However, PV+ASHP+STC+Battery is the optimal combination under the same weighting values for each selected decision-making indicator. This is because the economic performance was heavily weighted by the householders; PV+ASHP+STC has better economic performance than PV+ASHP+STC+Battery. It also discusses the advantages of using HRES combination with/without battery compared with the electricity grid and natural gas from the economic-technical-environmental perspectives. The discussion results drive the new energy policy and financial incentive development to encourage better householders to invest in renewable systems.

Item Type:	Thesis (PhD)
Date Type:	Completion
Status:	Unpublished
Schools:	Architecture
Date of First Compliant Deposit:	4 July 2023
Last Modified:	11 Jul 2023 12:53
URI:	https://orca.cardiff.ac.uk/id/eprint/160790

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