2019
DOI: 10.1016/j.esr.2019.100395
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Impacts of complementing goals besides emission targets on CO2 mitigation cost: A model-based analysis

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Cited by 12 publications
(7 citation statements)
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“…Several pieces of research on the cost of mitigation and cost-benefit analysis on risk mitigation are analyzed, such as research by Bergion et al (2018); Singh (2017); Sherwin et al (2016);and Gillich, Brodecki, and Hufendiek (2019). From this research, Gillich et al (2019) and Sherwin et al (2016) do not present or explicitly develop a mathematical model for the cost analysis.…”
Section: Discussion and Cost Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…Several pieces of research on the cost of mitigation and cost-benefit analysis on risk mitigation are analyzed, such as research by Bergion et al (2018); Singh (2017); Sherwin et al (2016);and Gillich, Brodecki, and Hufendiek (2019). From this research, Gillich et al (2019) and Sherwin et al (2016) do not present or explicitly develop a mathematical model for the cost analysis.…”
Section: Discussion and Cost Analysismentioning
confidence: 99%
“…Several pieces of research on the cost of mitigation and cost-benefit analysis on risk mitigation are analyzed, such as research by Bergion et al (2018); Singh (2017); Sherwin et al (2016);and Gillich, Brodecki, and Hufendiek (2019). From this research, Gillich et al (2019) and Sherwin et al (2016) do not present or explicitly develop a mathematical model for the cost analysis. While in Singh (2017), the general cost-effectiveness ration is used and as well as in Bergion et al (2018), who use general costbenefit equations and mathematical models to calculate the Net Present Value of the costbenefit analysis.…”
Section: Discussion and Cost Analysismentioning
confidence: 99%
“…An overview is provided for example by [10] or [11]. Methods include e.g., Linear [12][13][14] or Mixed-Integer-Linear [15][16][17] Programming. There are also a number of approaches for heuristic scheduling reported, for example the application of a Monte Carlo algorithm with the target function of maximizing the self-consumption of PV power in [18] or to produce electricity on demand by CHP units in combination with a thermal energy storage (TES) in [19].…”
Section: Overview Of Existing Control Approaches-the Control Principlesmentioning
confidence: 99%
“…In energy modeling applications, constraints requiring a certain renewable share may be manifold. A review by Gillich et al (2019) shows that some applications use constraints for installed renewable generation capacity (e.g., in GW). Other model applications use constraints on the share of renewable energy (e.g., in TWh).…”
Section: Introductionmentioning
confidence: 99%