Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.587546
Title: Development of a combined heat and power sizing model for the higher education sector of the United Kingdom
Author: Amber, Khuram Pervez
Awarding Body: London South Bank University
Current Institution: London South Bank University
Date of Award: 2013
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Abstract:
The original contribution to knowledge is the development of a Combined Heat and Power (CHP) sizing model that incorporates novel features identified as important for the UK higher education sector and absent in existing models. The work includes the identification of barriers to the uptake of CHP, development of generic half-hourly (HH) electricity, gas and occupancy profiles for a range of university buildings, identification of the key weather and non-weather variables and their relationship to electricity and gas consumption. Owing to its higher carbon savings potential compared to other technologies, CHP can help UK universities to achieve their carbon reduction target of 34%. However, despite this only one third of universities have CHP installed. This work has identified the barriers and the specific needs of the HE sector and has shown that publicly available CHP sizing models do not meet these needs. Through an online questionnaire, the barriers to the uptake of CHP were identified and these include: lack of funds, insufficient incentives, site constraints and lack of support from higher management. Using the energy data collected, a set of generic HH electricity and gas consumption profiles for nine university building types was developed having a general applicability to UK universities. Results from multiple regression analyses have shown that HH electricity has a strong relationship with the occupancy patterns (i.e. R² values > 0.6) whereas weaker relationships between occupancy patterns and HH gas consumption were observed (i.e. R² < 0.2) due to the small sample size. The developed CHP model generates HH profiles with an error of 28-33% when no real energy data is available; 10-17% where annual kWh data is available and 4-9% where monthly data is available. The developed CHP model incorporates all the desired features identified, and those missing in existing models, providing a tool for universities to investigate the suitability of CHP technology to reduce their carbon emissions at a preliminary and detailed design stage.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.587546  DOI: Not available
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