Biogas plant optimization by increasing its exibility considering uncertain revenues

dc.contributor.authorMeyr, Herbertde
dc.contributor.authorFichtner, Stephande
dc.date.accessioned2024-04-08T08:57:43Z
dc.date.available2024-04-08T08:57:43Z
dc.date.created2019-07-24
dc.date.issued2019
dc.description.abstractIncreasing shares of volatile energy resources like wind and solar energy will require exibly schedulable energy resources to compensate for their volatility. Biogas plants can produce their energy exibly and on demand, if their design is adjusted adequately. By doing so, the biogas plant operator has the opportunity to generate more earnings by producing and selling electricity in higher price periods. In order to achieve a exibly schedulable biogas plant, the design of this plant has to be adjusted to decouple the biogas and electricity production. Therefore, biogas storage possibilities and additional electrical capacity are necessary. The investment decision about the size of the biogas storage and the additional electrical capacity depends on the uctuation of energy market prices and the availability of governmental subsidies. This work presents an approach supporting investment decisions to increase the exibility of a biogas plant by installing gas storages and additional electrical capacities under consideration of revenues out of direct marketing at the day-ahead market. In order to support the strategic, long-term investment decisions, an operative plant schedule for the future, considering different plant designs given as investment strategies, using a mixed-integer linear programming (MILP) model in an uncertain environment is optimized. The different designs can be evaluated by calculating the net present value (NPV). Moreover, an analysis concerning current dynamics and uncertainties within spot market prices is executed. Furthermore, the in uences concerning the variation of spot market prices compared to the influence of governmental subsidies, in particular, the exibility premium, are revealed by computational results for a fictional case example, which is based on a biogas plant in southern Germany. In addition, the robustness of the determined solution is analyzed with respect to uncertainties.en
dc.identifier.swb1669946177
dc.identifier.urihttps://hohpublica.uni-hohenheim.de/handle/123456789/6410
dc.identifier.urnurn:nbn:de:bsz:100-opus-16460
dc.language.isoeng
dc.relation.ispartofseriesHohenheim discussion papers in business, economics and social sciences; 2019,07
dc.rights.licensepubl-mit-poden
dc.rights.licensepubl-mit-podde
dc.rights.urihttp://opus.uni-hohenheim.de/doku/lic_mit_pod.php
dc.subject.ddc330
dc.subject.gndBiogasde
dc.subject.gndInvestitionsentscheidungde
dc.titleBiogas plant optimization by increasing its exibility considering uncertain revenuesde
dc.type.dcmiTextde
dc.type.diniWorkingPaperde
local.accessuneingeschränkter Zugriffen
local.accessuneingeschränkter Zugriffde
local.bibliographicCitation.publisherPlaceUniversität Hohenheimde
local.faculty.number3de
local.institute.number580de
local.opus.number1646
local.series.issueNumber2019,07
local.series.titleHohenheim discussion papers in business, economics and social sciences
local.universityUniversität Hohenheimde
local.university.facultyFakultät Wirtschafts- und Sozialwissenschaftende
local.university.instituteInstitut für Interorganisational Management & Performancede

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
DP_07_2019_online.pdf
Size:
1.37 MB
Format:
Adobe Portable Document Format
Description:
Open Access Fulltext