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Consistent cost curves for identification of optimal energy savings across industry and residential sectors
Energy savings are a key element in reaching ambitious climate targets and may contribute to increased productivity as well. For identification of the most attractive saving options cost curves for savings are constructed illustrating potentials of savings with associated costs. In optimisation modelling these cost options are then compared with the cost of producing energy and all savings with negative costs and cost below the cost of producing the energy including the associated externality costs are expected to be implemented. There are however several methodological issues associated with constructing and applying the cost curves in modelling: • Cost curves do not have the same cost interpretation across economic subsectors and end-use technologies (investment cost for equipment varies – including/excluding installation – adaptation costs – indirect production costs) • The time issue of when the costs are incurred and savings (difference in discount rates both private and social) • The issue of marginal investment in a case of replacement anyway or a full investment in the energy saving technology • Implementation costs (and probability of investment) differs across sectors • Cost saving options are not additive - meaning that marginal energy savings from one option depends on what other options implemented We address the importance of these issues and illustrate with Danish cases how large the difference in savings cost curves can be if different methodologies are used. For example, the difference between marginal investment costs in residential heating of a more efficient building element (windows) in a larger renovation project compared to the costs of just replacing the windows. This is done based on some of the results from Zvingilaite & Klinge Jacobsen 2016. We compare to the results found for residential savings in Giraudet et. al. 2012 and Amstalden et. al. 2007. For our case the resulting savings potential below a given level of costs can be up to a factor of 5 times larger if only the marginal ...
Consistent cost curves for identification of optimal energy savings across industry and residential sectors
Energy savings are a key element in reaching ambitious climate targets and may contribute to increased productivity as well. For identification of the most attractive saving options cost curves for savings are constructed illustrating potentials of savings with associated costs. In optimisation modelling these cost options are then compared with the cost of producing energy and all savings with negative costs and cost below the cost of producing the energy including the associated externality costs are expected to be implemented. There are however several methodological issues associated with constructing and applying the cost curves in modelling: • Cost curves do not have the same cost interpretation across economic subsectors and end-use technologies (investment cost for equipment varies – including/excluding installation – adaptation costs – indirect production costs) • The time issue of when the costs are incurred and savings (difference in discount rates both private and social) • The issue of marginal investment in a case of replacement anyway or a full investment in the energy saving technology • Implementation costs (and probability of investment) differs across sectors • Cost saving options are not additive - meaning that marginal energy savings from one option depends on what other options implemented We address the importance of these issues and illustrate with Danish cases how large the difference in savings cost curves can be if different methodologies are used. For example, the difference between marginal investment costs in residential heating of a more efficient building element (windows) in a larger renovation project compared to the costs of just replacing the windows. This is done based on some of the results from Zvingilaite & Klinge Jacobsen 2016. We compare to the results found for residential savings in Giraudet et. al. 2012 and Amstalden et. al. 2007. For our case the resulting savings potential below a given level of costs can be up to a factor of 5 times larger if only the marginal ...
Consistent cost curves for identification of optimal energy savings across industry and residential sectors
Klinge Jacobsen, Henrik (author) / Baldini, Mattia (author)
2017-01-01
Klinge Jacobsen , H & Baldini , M 2017 , ' Consistent cost curves for identification of optimal energy savings across industry and residential sectors ' , 40th Annual IAEE International Conference , Singapore , Singapore , 18/06/2017 - 21/06/2017 . < http://www.iaee.org/iaee2017/submissions/ExtendedAbs/IAEE%20Singapore%202017%20Extended%20Abstract%20Cost%20curves%20for%20energy%20savings.pdf >
Conference paper
Electronic Resource
English
DDC:
690
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