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dc.contributor.advisorBatlle López, Carlos
dc.contributor.advisorRodilla Rodríguez, Pablo
dc.contributor.authorUsera Rodés, Inés
dc.contributor.otherUniversidad Pontificia Comillas, Escuela Técnica Superior de Ingeniería (ICAI)es_ES
dc.date.accessioned2017-01-31T15:06:11Z
dc.date.available2017-01-31T15:06:11Z
dc.date.issued2016
dc.identifier.urihttp://hdl.handle.net/11531/16453
dc.descriptionMaster in the Electric Power Industryes_ES
dc.description.abstractSince the beginning of the century, US electric power systems have increasingly become dominated by natural gas-fired power plants. In this context, the traditional concern of electricity regulators to ensure that market agents take efficient power generation investment decisions expands to the gas system, as the system requires adequate investments also in pipeline or regasification capacity. The problem is that ensuring pipeline capacity, even or particularly under tight supply conditions, involves entering into very long-term firm transportation contracts, and therefore introduces a major source of risk for power generators: the possibility that electricity demand does not evolve as forecasted, or probably more importantly that renewable energy sources massively deploy in the future, creates a significant quantity risk to the gas-fired generator which as a result tend to just contract for interruptible gas supply. This is particularly the case in New England (Black and Veatch, 2014), whose high dependency on natural gas has become troublesome in the last few years during cold winter months, due to the lack of natural gas pipeline capacity. When temperatures drop significantly, natural gas demand for both space heating and electric generation rises. Since most of New England’s natural gas is imported through pipelines, high gas demand results in pipeline capacity shortage events that have a significant impact in the electric power system. Bringing new pipeline capacity to the system is seen as fundamental today. In this paper we analyse this problem of the gas and electricity long-term planning coordination and the security of supply consequences. Since pipeline contracts are capital intensive and therefore subject to long-term risk, in the absence of any financial tools that allow investors to hedge the market price risk in the long-term, uncertainty in general reduces the incentives to enter into such firm contracts. We assess how a risk-averse natural gas power plant owner underinvests in pipeline capacity when no hedging tools are available. We discuss how this market incompleteness leads to a socially inefficient result, and how the gap could be bridged by creating markets for risk, for example via any sort of longterm capacity obligation,. The present theoretical analysis addresses the investment problem in gas-fired thermal capacity and pipeline capacity in a context characterised by (i) perfect competition, (ii) risk-averse agents and (iii) missing long-term financial markets. It explores the impact derived from these missing markets, which translate into less socially efficient investments. The model simultaneously represents and solves the short-term electricity and gas markets. Following a similar approach as the one developed by Rodilla et al. (2009), four different settings are considered in the analysis: a (cost-minimizing) context with a risk neutral centralized planner who decides both the thermal capacity and the pipeline capacity to maximize social welfare. This framework constitutes the benchmark solution. a market in which risk-averse generators have to decide the thermal capacity to be installed and the firm pipeline capacity contracts to be signed to maximize their profit, and where no long-term financial instruments are available.  a market setting similar to the previous one, but where a long-term forward contract for electric energy is available. a market setting similar to the previous one, but where both a forward and an option contract are available The market equilibrium model developed is stochastic (different renewable generation scenarios are considered) and solved by means of an MCP. Risk constraints are modelled through the conditional value-at-risk (CVAR) (Rockafellar and Uryasev, 2000). The gas market is modelled in such a way that generators which do not enter into contracts for firm pipeline capacity have still access to gas supply, but they are exposed to the short-term market price of natural gas (endogenously calculated). Agents must first take long-term investment decisions (in both pipeline capacity, and power plant investment), as well as the hedging instruments, and then they decide in the short term the hourly power plant production.Results show an equivalence between the central planner’s welfare-maximizing decisions and the profit maximizing decisions of risk-neutral agents. Nevertheless, if agents are risk-averse and no risk-hedging instruments are available, results deviate from the central planner’s. Risk-averse agents base their decisions on lower profit scenarios, rather than using expected profit, which generates long-term inefficient investment decisions. However, when given the possibility to hedge their risk by participating in a forward market, agents’ decisions come closer to replicating those of a central planner, thus improving social welfare. Moreover, if an option is included in addition to the forward market, results come even closer to the social optimum. These findings concur with Willems and Morbee (2010) where conclusions show that increasing market completeness is welfare enhancing.es_ES
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoenes_ES
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subject33 Ciencias tecnológicases_ES
dc.subject3322 Tecnología energéticaes_ES
dc.subject332205 Fuentes no convencionales de energíaes_ES
dc.titleMissing markets and missing pipelines: the problem of resource adequacy in a natural-gas-fired dominated systemes_ES
dc.typeinfo:eu-repo/semantics/masterThesises_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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