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Item type:Publication, Access status: with files , Assessment tool for the hybridisation of minigrids - Case study in NigerMinigrids are a great electrification strategy for developing countries. [1] Formerly operated only by diesel generators, they could be equipped with renewable energy and storage systems to become more reliable and competitive. Since resources are limited, it is not possible to hybridise all minigrids at the same time. An MS-EXCEL-based multi-criteria decision analysis (MCDA) tool offers a rational and impartial way of decision-making presenting the most eligible minigrids for a hybridisation. For the demonstration purposes, it is applied to the electricity sector of Niger.Publicationtype: Conference PaperScopus© Citations 2 259 393 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , Dynamic simulation and comparison of different configurations for a coupled energy system with 100% renewablesFor the successful transition to a renewable energy source powered society, coupling of different energy sectors is inevitable. The extreme case of a future German energy system consisting of power, heat and gas consumers supplied with 100% renewables is analyzed here. To find the most cost-effective system configuration, different combinations of storage and conversion technologies are compared by performing dynamic simulations and evaluating the average costs over the period of one year. Renewable power production is modeled by using actual power-generation curves and extrapolating the installed power for each technology according to the German energy system framework. Final energy curves for power, heat and gas demand are created as a result of the study. The gas demand only arises from industries using hydrocarbons as a product in processes and for high temperature process heat. The components of the energy system, e.g. storage and conversion technologies are modeled using the equation-based open-source TransiEnt Library based on Modelica®. To obtain the boundaries of the solution scope, the comparison is started by analyzing homogeneous scenarios, e.g. All-Electric or All-Gas with Power-to-Gas with reconversion to power and heat. To find the optimal configuration within this scope, different combinations of power (adiabatic compressed air energy storage (A-CAES), lithium-ion battery, pumped hydro storage), heat storage (hot water storage) and gas storage (underground storage) technologies as well as conversion technologies, i.e. Power-to- Gas (electrolyzer with methanation), Power-to-Heat (electric heat pump, electric boiler), Gas-to-Heat (gas boiler, gas heat pump), and Gas-to-Power (gas turbine, combined cycle gas turbine) are simulated. The results show that a homogeneous energy system configuration where all services are supplied by either power or gas are technically possible but not economic. Due to the limited technical potential of renewables, ecological feasibility of All-Gas systems is limited. A combination of Power-to-Gas with combined cycle gas turbines, electric heat pumps, a lithium-ion battery and pumped hydro storage is the option with the lowest cost. Using an A-CAES instead of the battery or adding an A-CAES to the battery does not lower the cost.Publicationtype: Conference PaperScopus© Citations 5 334 351 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Dynamic simulation and comparison of different configurations for a coupled energy system with 100 % renewables(2018-03); For the success of the energy transition, coupling of different energy sectors is inevitable. The extreme case of a generic energy system consisting of power, heat and gas consumers supplied with 100% renewables is analyzed here. To find the most cost-effective system configuration, different combinations of storage and conversion technologies are compared by performing dynamic simulations over a period of a year and evaluating the average cost over a year. The renewable power production is modeled employing real generation curves and the installed power for each technology is extrapolated using the German energy system framework. For the demand side, final energy curves for power, heat and gas demand are created. The gas demand comes only from the industry which uses hydrocarbons as a product in processes and for high temperature process heat. The components of the energy system, e.g. storage and conversion technologies are modeled using the equation-based open-source Modelica® library TransiEnt Library. The comparison is started by analyzing extreme scenarios, e.g. All-Electric or All-Gas with Power-to-Gas with reconversion to power and heat, to obtain the boundaries of the solution interval. To find the optimal configuration within this interval, different combinations of power (compressed air energy storage (CAES), battery, pump storage), heat (hot water storage) and gas storage (underground storage) technologies as well as conversion technologies, i.e. Power-to-Gas (electrolyzer with methanation), Power-to-Heat (electric heat pump, electric boiler), Gas-to-Heat (gas boiler, gas heat pump), Gas-to-Power (gas turbine, combined cycle gas turbine), are then simulated. The results show that an extreme energy system configuration where all services are supplied by either power or gas are technically possible but not economic. In the case of All-Gas it is not even ecologically feasible due to the limited technical potential of the renewables. A combination of Power-to-Gas with combined cycle gas turbines, electric heat pumps, a lithium-ion battery and pump storage is the option with the lowest cost. Using a CAES instead of the battery or adding a CAES to the battery does not lower the cost.Publicationtype: Conference Paper87