Robust bioenergy technologies for the German heat transition: A novel approach combining optimization modeling with Sobol' sensitivity analysis. (15th March 2020)
- Record Type:
- Journal Article
- Title:
- Robust bioenergy technologies for the German heat transition: A novel approach combining optimization modeling with Sobol' sensitivity analysis. (15th March 2020)
- Main Title:
- Robust bioenergy technologies for the German heat transition: A novel approach combining optimization modeling with Sobol' sensitivity analysis
- Authors:
- Jordan, Matthias
Millinger, Markus
Thrän, Daniela - Abstract:
- Highlights: Future power and gas prices drive the competitiveness of bioenergy technologies. Solid biomass in (high temperature) industry applications is the most robust option. With rising power prices hybrid CHP pellet technologies are competitive options. The applied method leads to policy insights with a high level of confidence. Abstract: Uncertainties are one of the major challenges of energy system optimization models (ESOM), yet little use is made of systematic uncertainty assessments in ESOM-based analyses. In this paper, an ESOM is combined with the global sensitivity analysis of Sobol' to identify robust, competitive bioenergy technologies to fulfill the climate targets in the German heat sector under uncertain developments. Through the outlined method, only three out of 32 investigated parameters were identified to have uncertainties with significant impacts on the future competitiveness of bioenergy technologies: the power price, gas price and the defined climate target. Based on these findings, a solution space is quantified showing which bioenergy technologies are robust, competitive options under the uncertainty of the three influencing parameters. The use of biomass in the form of wood chips in (high temperature) industry applications is found to be the most robust choice in all cases, while hybrid combined heat and power wood pellet systems are an additional robust option when future power prices are increasing. Both technologies have the potential to closeHighlights: Future power and gas prices drive the competitiveness of bioenergy technologies. Solid biomass in (high temperature) industry applications is the most robust option. With rising power prices hybrid CHP pellet technologies are competitive options. The applied method leads to policy insights with a high level of confidence. Abstract: Uncertainties are one of the major challenges of energy system optimization models (ESOM), yet little use is made of systematic uncertainty assessments in ESOM-based analyses. In this paper, an ESOM is combined with the global sensitivity analysis of Sobol' to identify robust, competitive bioenergy technologies to fulfill the climate targets in the German heat sector under uncertain developments. Through the outlined method, only three out of 32 investigated parameters were identified to have uncertainties with significant impacts on the future competitiveness of bioenergy technologies: the power price, gas price and the defined climate target. Based on these findings, a solution space is quantified showing which bioenergy technologies are robust, competitive options under the uncertainty of the three influencing parameters. The use of biomass in the form of wood chips in (high temperature) industry applications is found to be the most robust choice in all cases, while hybrid combined heat and power wood pellet systems are an additional robust option when future power prices are increasing. Both technologies have the potential to close gaps in a sustainable energy system and should be considered for the future use of biomass in the German heat sector, when designing policies. … (more)
- Is Part Of:
- Applied energy. Volume 262(2020)
- Journal:
- Applied energy
- Issue:
- Volume 262(2020)
- Issue Display:
- Volume 262, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 262
- Issue:
- 2020
- Issue Sort Value:
- 2020-0262-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-03-15
- Subjects:
- Heat sector -- Bioenergy -- Optimization -- Sensitivity analysis -- Sobol'
Power (Mechanics) -- Periodicals
Energy conservation -- Periodicals
Energy conversion -- Periodicals
621.042 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03062619 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.apenergy.2020.114534 ↗
- Languages:
- English
- ISSNs:
- 0306-2619
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1572.300000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 12950.xml