Control of global warming is a common subject in the world. Therefore, the challengers of various fields
are considering methods to control global warming. Microgrid technology is expected as a next-generation energy supply system. However, since renewable energy is unstable, in many cases, it requires support by the conventional energy equipment. We are investigating the compound energy system from the following two viewpoints. One is the development of highly efficient energy storage equipment represented by a battery and heat-storage tank. Another is development of the operation optimization technology of the compound energy system including green energy. It is thought that the energy supply method shifts from the individual operation of large-scale plant to distribution of small equipment or microgrid. Moreover, a microgrid develops into a smart-grid by various added values with IT technology.
On the other hand, it was predicted that the reduction technology of the greenhouse gas of a microgrid
progressed sharply, and we named the nature-grid. A microgrid, a smart grid, and a nature-grid require
fusion of energy technology and an information technology. For example, the operation in consideration of the green energy change with load prediction and weather prediction of a compound energy systemcan be planned. This book describes the operation optimization technology by compound utilization of a PEFC, PEFC-SOFC combined system, bio-ethanol solar reforming, wind-power generation, woody biomass engine, city-gas engine, diesel power plant, etc. The technology described in this book plays a large role in the development of a small-scale power-generation system, a microgrid, a smart-grid, and a nature-grid, which are introduced into individual houses, apartment houses or local area power supplies.
The book is organized into twelve chapters. A brief description of each of the chapters follows:
Chapter 1 has described operating schedule of a combined energy network system. In the 1st section, the chromosome model showing system operation pattern is applied to GA (genetic algorithm), and the method of optimization operation planning of energy system is developed. The optimization method of this operation planning was applied to the compound system of methanol steam reforming type fuel cell, geo-thermal heat pump and the electrolysis tank of water. The operation planning was performe for the energy system using the energy demand pattern of the individual residence of Sapporo in Japan.
From analysis results, the amount of outputs of a solar module and the relation of the operation cost of the system which are changed by the weather were clarified. In the 2nd section, reduction in fuel cell
capacity linked to a fuel cell network system is considered. An optimization plan is made to minimize the quantity of heat release of the hot water piping that connects each building. Such an energy network is analyzed assuming connection of individual houses, a hospital, a hotel, a convenience store, an office building, and a factory. Consequently, a reduction of 46% of fuel cell capacity is expected compared with the conventional system in the case study.
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