Biogas plant optimization by increasing its exibility considering uncertain revenues

Meyr, Herbert; Fichtner, Stephan

Biogas plant optimization by increasing its exibility considering uncertain revenues

dc.contributor.author	Meyr, Herbert	de
dc.contributor.author	Fichtner, Stephan	de
dc.date.accessioned	2024-04-08T08:57:43Z
dc.date.available	2024-04-08T08:57:43Z
dc.date.created	2019-07-24
dc.date.issued	2019
dc.description.abstract	Increasing 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.swb	1669946177
dc.identifier.uri	https://hohpublica.uni-hohenheim.de/handle/123456789/6410
dc.identifier.urn	urn:nbn:de:bsz:100-opus-16460
dc.language.iso	eng
dc.relation.ispartofseries	Hohenheim discussion papers in business, economics and social sciences; 2019,07
dc.rights.license	publ-mit-pod	en
dc.rights.license	publ-mit-pod	de
dc.rights.uri	http://opus.uni-hohenheim.de/doku/lic_mit_pod.php
dc.subject.ddc	330
dc.subject.gnd	Biogas	de
dc.subject.gnd	Investitionsentscheidung	de
dc.title	Biogas plant optimization by increasing its exibility considering uncertain revenues	de
dc.type.dcmi	Text	de
dc.type.dini	WorkingPaper	de
local.access	uneingeschränkter Zugriff	en
local.access	uneingeschränkter Zugriff	de
local.bibliographicCitation.publisherPlace	Universität Hohenheim	de
local.export.bibtex	@techreport{Meyr2019, url = {https://hohpublica.uni-hohenheim.de/handle/123456789/6410}, author = {Meyr, Herbert and Fichtner, Stephan}, title = {Biogas plant optimization by increasing its exibility considering uncertain revenues}, year = {2019}, school = {Universität Hohenheim}, series = {Hohenheim discussion papers in business, economics and social sciences}, }
local.export.bibtexAuthor	Meyr, Herbert and Fichtner, Stephan
local.export.bibtexKey	Meyr2019
local.export.bibtexType	@techreport
local.faculty.number	3	de
local.institute.number	580	de
local.opus.number	1646
local.series.issueNumber	2019,07
local.series.title	Hohenheim discussion papers in business, economics and social sciences
local.university	Universität Hohenheim	de
local.university.faculty	Fakultät Wirtschafts- und Sozialwissenschaften	de
local.university.institute	Institut für Interorganisational Management & Performance	de

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