Natural gas has become the UK’s foremost primary energy source, providing some 39% of our energy needs. The National Transmission System (NTS) has developed from its humble beginnings when natural gas was first discovered in the North Sea in the 1960s to become a complex interconnected network delivering up to 550 million cubic meters of gas daily. Gas has also become an increasingly important energy source for power generation, currently generating 35% of our electricity. This presents major challenges for the planning and operation of both the electricity and gas networks as their interdependence grows into the future. With the government’s goal of drastically reducing emissions from power generation by 2020, Combined Cycle Gas Turbine units, and therefore the NTS, will have to offer a new degree of flexibility to quickly respond to the intermittency of the growing penetration of wind generation on the electricity transmission system. Coupling this with the decline in the UK natural gas resources resulting in the NTS becoming reliant on imports to meet demand, it is becoming increasingly difficult to decouple the security of the gas supply from the security of the electricity supply in the UK. This study presents the modelling challenge of assessing this growing interaction and provides a robust methodology for completing a security analysis using detailed network models of the UK gas and electricity transmission systems. A thorough investigation of the intraday operation of the two systems in 2020 is presented given the growth of wind generation in the UK. The results are analysed and the implications for combined modelling and assessment are discussed as we enter a new era for UK energy security.

With an increased urgency for global action towards climate change mitigation, this research was undertaken with the aim of evaluating post-combustion CO2 capture as an emission abatement strategy for gas-fired power plants. A dynamic rate-based model of a capture plant with MEA solvent was built, with imposed chemical equilibrium, and validated at pilot scale under transient conditions. The model predicted plant behaviour under multiple process inputs and disturbances. The validated model was next used to analyse the process and it was found that CO2 absorption is mass transfer limited. The model was then improved by explicitly adding reactions rate in the model continuity, the first such dynamic model to be reported for the capture process. The model is again validated and is observed to provide better predictions than the previous model. Next, high fidelity models of a gas-fired power plant, a scaled-up capture plant and a compression train were built and integrated for 90% CO2 capture. Steam for solvent regeneration is extracted from the power plant IP/LP crossover pipe. Net efficiency drops from 59% to 49%, with increased cooling water demand. A 40% exhaust gas recirculation resulted in a recovery of 1% efficiency, proving that enhanced mass transfer in the capture plant reduces solvent regeneration energy demands. Economic analysis reveals that overnight cost increases by 58% with CO2 capture, and cost of electricity by 30%. While this discourages deployment of capture technology, natural gas prices remain the largest driver for cost of electricity. Other integration approaches – using a dedicated boiler and steam extraction from the LP steam drum – were explored for operational flexibility, and their net efficiencies were found to be 40 and 45% respectively. Supplementary firing of exhaust gas may be a viable option for retrofit, as it is shown to minimise integrated plant output losses at a net efficiency of 43.5%. Areas identified for further study are solvent substitution, integrated plant part load operation, flexible control and use of rotating packed beds for CO2 capture.

With an increased urgency for global action towards climate change mitigation, this research was undertaken with the aim of evaluating post-combustion CO2 capture as an emission abatement strategy for gas-fired power plants. A dynamic rate-based model of a capture plant with MEA solvent was built, with imposed chemical equilibrium, and validated at pilot scale under transient conditions. The model predicted plant behaviour under multiple process inputs and disturbances. The validated model was next used to analyse the process and it was found that CO2 absorption is mass transfer limited. The model was then improved by explicitly adding reactions rate in the model continuity, the first such dynamic model to be reported for the capture process. The model is again validated and is observed to provide better predictions than the previous model. Next, high fidelity models of a gas-fired power plant, a scaled-up capture plant and a compression train were built and integrated for 90% CO2 capture. Steam for solvent regeneration is extracted from the power plant IP/LP crossover pipe. Net efficiency drops from 59% to 49%, with increased cooling water demand. A 40% exhaust gas recirculation resulted in a recovery of 1% efficiency, proving that enhanced mass transfer in the capture plant reduces solvent regeneration energy demands. Economic analysis reveals that overnight cost increases by 58% with CO2 capture, and cost of electricity by 30%. While this discourages deployment of capture technology, natural gas prices remain the largest driver for cost of electricity. Other integration approaches – using a dedicated boiler and steam extraction from the LP steam drum – were explored for operational flexibility, and their net efficiencies were found to be 40 and 45% respectively. Supplementary firing of exhaust gas may be a viable option for retrofit, as it is shown to minimise integrated plant output losses at a net efficiency of 43.5%. Areas identified for further study are solvent substitution, integrated plant part load operation, flexible control and use of rotating packed beds for CO2 capture.

Efforts to mitigate climate change and current geopolitical disruptions have revealed that changes to the existing energy system are urgently required to offer sustainable and secure energy for Europe. Hence, the role of conventional thermal power plants is being challenged and new technologies providing additional functionality for the power grid are pushing into the market. Thus, system perspectives and considerations of synergies between different technologies become more important. Current research efforts are focused on the hybridization of renewable technologies, sector coupling, and repurposing of existing energy infrastructure. Nevertheless, literature is still lacking a system perspective analysis of these combined topics. For this purpose, a case study on integrating the existing Mellach combined cycle gas turbine (CCGT) power plant into a hybrid energy system dominated by PV and wind power via hydrogen production facilities is performed. The performance of this innovative storage power plant (ISPP) is assessed through an optimization-based techno-economic-environmental analysis. Further, the sensitivity of such a system to external uncertainties such as the electricity price, component costs, or CO2 emission pricing is evaluated.  Under the assumptions made, the retrofitting of the CCGT to be (co-)fired with hydrogen does not provide an economically feasible solution for repurposing the power plant. The results indicate that the highest revenues are obtained when natural gas firing in the CCGT is enabled. Simultaneously, this also causes the highest CO2 emissions. However, natural gas needs to be phased-out by 2030 to meet Austria’s climate target. Combining renewables with hydrogen-firing of the CCGT system or sales to the hydrogen market increases the system flexibility and resilience to external influences. However, the revenue streams from continuing the CCGT operation cannot offset the initial investment costs of the turbine upgrade. The investigated ISPP is subject to several uncertainties. Depending on the development of certain components or market properties, utilizing the existing power block through sector coupling with hydrogen can improve the system economics. Eventually, this can make the system profitable depending on the developments. The investigated system behavior shows an improved utilization of renewable energy by converting it into hydrogen instead of curtailing or selling the electricity at a low price. Hence, the investigated set of components is most profitable when the installed renewable energy capacity is a multiple of the maximum electric power of the existing CCGT power block. On the other hand, providing the option of blending natural gas with hydrogen is not economically beneficial under the assumptions made. Further, the results showed that an increase in EU ETS CO2 certificate prices would improve the profitability of the ISPP compared to the state-of-the-art operation with natural gas. Another finding of the analysis is the sensitivity of the hydrogen system to the electrolyzer cost. Meeting the near-term electrolyzer cost development target would significantly increase the optimal hydrogen system sizing, as well as the economic performance of the entire power plant. Additionally, the system can balance the power grid by operating the electrolyzer using grid electricity purchased at negative prices during hours of power oversupply, which is not possible in the existing configuration. It can be concluded that the investigated ISPP is more resilient to external influences given its enhanced operation flexibility and different revenue streams. / Bemötande av klimatförändringar och nuvarande geopolitiska störningar har avslöjat att förändringar av det befintliga energisystemet är nödvändiga för att erbjuda hållbar och säker energi för Europa. Därför ifrågasätts rollen för konventionella termiska kraftverk och nya teknologier som erbjuder ytterligare funktionalitet för elnätet gör sin inmarsch på marknaden. Därmed blir systemperspektiv och överväganden av synergier mellan olika teknologier allt viktigare. Aktuell forskning fokuserar på hybridisering av förnybara teknologier, sektorkoppling och omdaning av befintlig energiinfrastruktur. Trots detta saknas fortfarande en systemperspektivsanalys av dessa kombinerade ämnen i litteraturen. För detta ändamål genomförs en fallstudie om integrering av det befintliga kombikraftverket (CCGT) i Mellach i ett hybridenergisystem dominerat av sol- och vindkraft via vätgasproduktionsanläggningar. Prestandan för detta innovativa lagringskraftverk (ISPP) utvärderas genom en optimeringsbaserad teknisk-ekonomisk-miljömässig analys. Dessutom utvärderas känsligheten hos ett sådant system för externa osäkerheter som elpriset, komponentkostnader eller prissättning av koldioxidutsläpp. Under de antaganden som gjorts ger ombyggnaden av CCGT för att använda (co-)eldning med vätgas inte en ekonomiskt genomförbar lösning för omdaning av kraftverket. Resultaten indikerar att de högsta intäkterna uppnås när naturgaseldning i CCGT tillåts. Samtidigt orsakar detta också de högsta koldioxidutsläppen. Dock behöver naturgas fasas ut före 2030 för att uppnå Österrikes klimatmål. Att kombinera förnybara energikällor med vätgaseldning av CCGT-systemet eller försäljning till vätgasmarknaden ökar systemets flexibilitet och motståndskraft mot externa påverkan. Intäktsströmmarna från fortsatt drift av CCGT kan dock inte kompensera för de initiala investeringskostnaderna för uppgraderingen av turbinen. Det undersökta ISPP påverkas av flera osäkerheter. Beroende på utvecklingen av vissa komponenter eller marknadsegenskaper kan användningen av det befintliga kraftblocket genom sektorkoppling med vätgas förbättra systemekonomin. Slutligen kan detta göra systemet lönsamt beroende på utvecklingen. Det undersökta systembeteendet visar en förbättrad användning av förnybar energi genom att omvandla den till vätgas istället för att avbryta eller sälja el till ett lågt pris. Därför är det undersökta komponentsystemet mest lönsamt när den installerade kapaciteten för förnybar energi är flera gånger den maximala elektriska effekten hos det befintliga CCGT-kraftblocket. Å andra sidan är möjligheten att blanda naturgas med vätgas inte ekonomiskt fördelaktig under de antaganden som gjorts. Dessutom visade resultaten att en ökning av EU ETS-koldioxidcertifikatpriserna skulle förbättra lönsamheten för ISPP jämfört med dagens drift med naturgas. En annan slutsats från analysen är känsligheten hos vätgassystemet för elektrolysatorns kostnad. Att uppnå den närtidsmål för kostnadsutveckling för elektrolysatorn skulle signifikant öka den optimala storleken på vätgassystemet, liksom den ekonomiska prestandan för hela kraftverket. Dessutom kan systemet balansera elnätet genom att driva elektrolysatorn med el från elnätet som köps till negativa priser under timmar av överflödig kraft, vilket inte är möjligt i den befintliga konfigurationen. Slutsatsen är att det undersökta ISPP är mer motståndskraftigt mot externa påverkan med tanke på dess förbättrade driftflexibilitet och olika intäktsströmmar.

This master’s thesis deals with the design of a heat recovery steam generator. The introductory part of the thesis is dedicated to waste heat boilers, their division and their utilization in combined cycles gas turbine. In the following chapter, an analysis of the existing combined heat and power plant operation is performed. In the next part of the thesis, the conceptual layout of the new source is designed. Subsequently, the thermal calculation of the boiler is carried out as well as the design of individual heat exchanging surfaces. The sixth chapter deals with the strength calculation of the boiler and the outer piping, chambers and drum are designed here. At the end of the thesis there are described off-design states of the new combined cycle gas turbine.

Electricity is an essential good, which can hardly be replaced. It can be produced thanks to a wide rangeof sources, from coal to nuclear, not to mention renewables such as wind and solar. In order to meetdemand at the lowest cost, an optimisation is made on electricity markets between the differentproduction plants. This optimisation mainly relies on the electricity production cost of each technology.In order to include long-term constraints in the short-term optimisation, a so-called use value (oropportunity cost) can be computed and added to the production cost. One long-term constraint thatEDF, the main French electricity producer, is facing is that its gas plants cannot exceed a given numberof operation hours and starts between two maintenances. A specific software, DiMOI, computes usevalues for this double constraint but its parameters needs to be tested in order to improve thecomputation, as it is not thought to work properly.DiMOI relies on dynamic programming and more particularly on an algorithm called Bellman algorithm.The software has been tested with EDF R&D department in order to propose some modellingimprovements. Electricity and gas market prices, together with real plant parameters such as startingcosts, operating costs and yields, were used as inputs for this work, and the results were checkedagainst reality.This study gave some results but they appeared to be invalid. Indeed, an optimisation problem wasdiscovered in DiMOI computing core: on a deterministic context, a study with little degrees of freedomwas giving better profits than a study with more degrees of freedom. This problem origin was notfound precisely with a first investigation, and the R&D team expected the fixing time to be very long.The adaptation of a simpler tool (MaStock) was proposed and made in order to replace DiMOI. Thisproject has thus led to DiMOI giving up and its replacement by MaStock. Time was missing to testcorrectly this tool, and the first study which was made was not completely positive. Further studiesshould be carried out, for instance deterministic ones (using real past data) whose results could becompared to reality.Some complementary studies were made from a fictitious system, in order to study the impact of someparameters when computing use values and operations schedules. The conclusions of these studiesare the little impacts that changes in gas prices and start-up costs parameters have on the global resultsand the importance of an accurate choice in the time periods durations used for the computations.Unfortunately these conclusions might be too specific as they were made on short study periods.Further case studies should be done in order to reach more general conclusions.