Author:
Nock Alexander,Ojiako Udechukwu,Bektas Tolga,Chipulu Max
Abstract
PurposeThis paper seeks to set out opportunities for the development of a UK‐focused feasibility and sizing model utilising linear programming.Design/methodology/approachOptimisation of the model is conducted using integer linear programming developed using Excel Solver.FindingsWhen compared with comparable alternatives, the model is shown to be particularly useful as its functionality is embedded in resource intensive prime mover specifications obtained from seven real industrial cases.Research limitations/implicationsThe study acknowledges the limitation of utilising sizing data primarily obtained from secondary sources to develop the model.Originality/valueThe practical usefulness of this model is that it has been built using “real”, as opposed to simulated‐data. When compared with comparable alternatives, the model is shown to be articularly useful as its functionality is embedded in resource intensive prime mover specifications obtained from seven real industrial cases.
Subject
Strategy and Management,General Energy
Reference41 articles.
1. Babus'Haq, R. and Probert, S. (1996), “Combined heat‐and‐power implementation in the UK: past, present and prospective developments”, Applied Energy, Vol. 53, pp. 47‐76.
2. Beihong, Z. and Long, W. (2006), “An optimal sizing method for cogeneration plants”, Energy and Buildings, Vol. 38 No. 3, pp. 189‐95.
3. BIS (2009), Feed in Tariffs – FITs, Department for Business, Innovation and Skills, London, available at: http://www.berr.gov.uk/energy/sources/renewables/policy/feed‐intariffs/page50362.html (accessed 19 April 2010).
4. Bjorklund, A., Niklasson, T. and Wahlen, M. (2001), “Biomass in Sweden: biomass‐fired CHP plant in Eskilstuna”, Refocus, Vol. 2 No. 7, pp. 14‐18.
5. Blakemore, F., Davies, C. and Isaac, J. (2001), “Effects of changes in the UK energy‐demand and environmental legislation on atmospheric pollution by oxides of nitrogen and black smoke”, Applied Energy, Vol. 68 No. 1, pp. 83‐117.