| Srl | Item |
| 1 |
ID:
097257
|
|
|
|
|
| Publication |
2010.
|
| Summary/Abstract |
In this paper it is argued that technology learning may be both a barrier and an incentive for technology change in the national energy system. The possibility to realize an ambitious global emission reduction scenario is enhanced by coordinated action between countries in national policy implementation. An indicator for coordinated action is suggested. Targeted measures to increase deployment of nascent energy technologies and increasing energy efficiency in a small open economy like Norway are examined. The measures are evaluated against a set of baselines with different levels of spillover of technology learning from the global market. It is found that implementation of technology subsidies increase the national contribution to early deployment independent of the level of spillover. In a special case with no spillover for offshore floating wind power and endogenous technology learning substantial subsidy or a learning rate of 20% is required. Combining the high learning rate and a national subsidy increases the contribution to early deployment. Enhanced building code on the other hand may reduce Norway's contribution to early deployment, and thus the realization of a global emission reduction scenario, unless sufficient electricity export capacity is assured.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2 |
ID:
105751
|
|
|
|
|
| Publication |
2011.
|
| Summary/Abstract |
This paper describes a method to model the influence by global policy scenarios, particularly spillover of technology learning, on the energy service demand of the non-energy sectors of the national economy. It is exemplified by Norway. Spillover is obtained from the technology-rich global Energy Technology Perspective model operated by the International Energy Agency. It is provided to a national hybrid model where a national bottom-up Markal model carries forward spillover into a national top-down CGE1 model at a disaggregated demand category level. Spillover of technology learning from the global energy technology market will reduce national generation costs of energy carriers. This may in turn increase demand in the non-energy sectors of the economy because of the rebound effect. The influence of spillover on the Norwegian economy is most pronounced for the production level of industrial chemicals and for the demand for electricity for residential energy services. The influence is modest, however, because all existing electricity generating capacity is hydroelectric and thus compatible with the low emission policy scenario. In countries where most of the existing generating capacity must be replaced by nascent energy technologies or carbon captured and storage the influence on demand is expected to be more significant.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 3 |
ID:
125576
|
|
|
|
|
| Publication |
2013.
|
| Summary/Abstract |
This study investigates the merit order effect (MOE) of the recent years' implementation of solar power in Germany. Market clearing electricity prices and production levels are compared for the years 2009-2011, and a model for the relationship between the electricity price and price sensitive electricity production is developed and applied to predict electricity prices in Germany from July 2010 to July 2011 with and without solar electricity generation (SEG). The results show that the SEG has caused a 7% reduction in average electricity prices for this period. The average daily maximum price and daily price variation are also found to decrease, by 13% and 23%, respectively. When taking the MOE into account the net consumer's cost of the solar feed-in tariff (FIT) system is found to be 23% less than the charge listed in the electricity bill. The German FIT policy for solar power has been subject to considerable public debate, and a common argument brought up in disfavor of the system is the high cost for the consumers. In this study we demonstrate the importance of including the MOE when evaluating the total costs and benefits of the FIT policy mechanism.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 4 |
ID:
104892
|
|
|
|
|
| Publication |
2011.
|
| Summary/Abstract |
This paper reviews the characteristics of technology learning and discusses its application in energy system modelling in a global-local perspective. Its influence on the national energy system, exemplified by Norway, is investigated using a global and national Markal model. The dynamic nature of the learning system boundary and coupling between the national energy system and the global development and manufacturing system is elaborated. Some criteria important for modelling of spillover1 are suggested. Particularly, to ensure balance in global energy demand and supply and accurately reflect alternative global pathways spillover for all technologies as well as energy carrier cost/prices should be estimated under the same global scenario. The technology composition, CO2 emissions and system cost in Norway up to 2050 exhibit sensitivity to spillover. Moreover, spillover may reduce both CO2 emissions and total system cost. National energy system analysis of low carbon society should therefore consider technology development paths in global policy scenarios. Without the spillover from international deployment a domestic technology relies only on endogenous national learning. However, with high but realistic learning rates offshore floating wind may become cost-efficient even if initially deployed only in Norwegian niche markets.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|