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The impacts of project scale, scope and risk allocation on financial returns for clients and contractors in Energy Performance Contracts – a stochastic modelling analysis
With a projected annual value of £1bn, the UK energy performance contracting market has the potential to unlock a large number of energy efficiency projects by reducing risk of investing in energy efficiency upgrades in industry applications and in buildings. However, market development to date has been slow and little analysis has been undertaken to understand the characteristics of successful projects. A better understanding of the impact of project scale, scope and risk allocation on outcomes for building owners and their contracting partners, known as Energy Service Companies (ESCOs), would enable investment programmes to be targeted more effectively. This study uses probabilistic energy modelling of hypothetical case studies in the UK schools sector to assess the scale of possible energy savings from a range of retrofit measures. Samples from these distributions of energy savings are used as inputs to an economic model which allows the impact of different approaches to measurement and verification of the energy savings to be explored, along with the impact of energy price assumptions, project scale and scope and different guarantee mechanisms. The case study projects are based on hypothetical school buildings and combine 3 different scales of project with 2 different groups of retrofit measures. Despite evidence from previous work that transaction costs are critical to financial outcomes of projects there is an absence of data on the scale of transaction costs in the current literature. This study uses semi-structured interviews with building owners and ESCOs to elicit transaction cost information for the case study projects which form another set of inputs to the economic model. Global sensitivity analysis is used to screen for non-influential parameters in the energy model (modified Morris method), enabling a significant reduction in computational burden. Global sensitivity analysis is also used with the economic model to rank inputs in order of their influence on financial outcomes for clients and ESCOs, ...
The impacts of project scale, scope and risk allocation on financial returns for clients and contractors in Energy Performance Contracts – a stochastic modelling analysis
With a projected annual value of £1bn, the UK energy performance contracting market has the potential to unlock a large number of energy efficiency projects by reducing risk of investing in energy efficiency upgrades in industry applications and in buildings. However, market development to date has been slow and little analysis has been undertaken to understand the characteristics of successful projects. A better understanding of the impact of project scale, scope and risk allocation on outcomes for building owners and their contracting partners, known as Energy Service Companies (ESCOs), would enable investment programmes to be targeted more effectively. This study uses probabilistic energy modelling of hypothetical case studies in the UK schools sector to assess the scale of possible energy savings from a range of retrofit measures. Samples from these distributions of energy savings are used as inputs to an economic model which allows the impact of different approaches to measurement and verification of the energy savings to be explored, along with the impact of energy price assumptions, project scale and scope and different guarantee mechanisms. The case study projects are based on hypothetical school buildings and combine 3 different scales of project with 2 different groups of retrofit measures. Despite evidence from previous work that transaction costs are critical to financial outcomes of projects there is an absence of data on the scale of transaction costs in the current literature. This study uses semi-structured interviews with building owners and ESCOs to elicit transaction cost information for the case study projects which form another set of inputs to the economic model. Global sensitivity analysis is used to screen for non-influential parameters in the energy model (modified Morris method), enabling a significant reduction in computational burden. Global sensitivity analysis is also used with the economic model to rank inputs in order of their influence on financial outcomes for clients and ESCOs, ...
The impacts of project scale, scope and risk allocation on financial returns for clients and contractors in Energy Performance Contracts – a stochastic modelling analysis
Fennell, Pamela J (Autor:in)
28.03.2018
Doctoral thesis, UCL (University College London).
Hochschulschrift
Elektronische Ressource
Englisch
DDC:
690
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