CHP and its role in efficient energy production: a feasibility assessment model

Alexander Nock, Udechukwu Ojiako*, Tolga Bektas, Max Chipulu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Purpose: The way and manner in which energy is produced is known to have a significant impact on emissions. For this reason, the UK government has sought to enhance the efficiency of energy production/conversion by focusing on a number of energy production approaches, including Combined Heat and Power (CHP). The purpose of this paper is to describe a practical approach for assessing the feasibility of CHP. Design/methodology/approach: The authors provide an overview of Combined Heat and Power (CHP); describe a new and easy-to-implement feasibility and optimisation model to aid in the installation of CHP; and discuss the practical feasibility issues of CHP through an analysis of existing case studies using the proposed model. The modelling utilises regression models which are created using historical data obtained from public sources. Findings: Compared against 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. Originality/value: The need for such a practical and easy-to-use model is driven by the existence of numerous models, which are mainly complex and not necessarily "user-friendly". The proposed model is set to provide a practical and user-friendly model for CHP appraisal that is easy to understand and assess in terms of prime movers such as capital cost, payback, annual financial and CO<DN>2</DN> savings.

Original languageEnglish
Pages (from-to)546-565
Number of pages20
JournalManagement of Environmental Quality: An International Journal
Volume23
Issue number5
DOIs
Publication statusPublished - 3 Aug 2012

Keywords

  • combined heat and power
  • energy management
  • energy sources
  • energy technology
  • environment
  • modelling
  • regression

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