Facility Planning Optimization Platform, GGOD, for Expandable Cluster-type Micro-grid Installations and Operations

This paper describes the architecture and the utilization for a facility planning optimization platform called GGOD, “Grid of Grids Optimal Designer” and applies it to expandable cluster-type micro-grid installations and operations. The expandable cluster-type micro-grid is defined as a group of micro-grids that are connected by bi-directional power transfer networks. Furthermore, power sources are also networked. Especially, by networking among power sources, powers necessary for social activities in-demand areas are secured. The proposed architecture is based on service-oriented architecture, meaning that optimization functions are executed as services. For flexibility, these services are executed by requests based on extensible mark-up language texts. The available optimizations are written in meta-data, which are accessible to end-users from the meta-data database system called clearinghouse. The meta-data are of two types, one for single optimization and the other for combined optimization. The processes in GGOD are conducted by the management function which interprets descriptions in meta-data. In meta-data, the names of optimization functions and activation orders are written. The basic executions follow sequential, branch, or loop flow processes, which execute combined optimizations, compare more than two kinds of optimization processes, and perform iterative simulations, respectively. As an application of the proposed architecture, the power generation sites and transmission networks are optimized in a geospatial integrated-resource planning scenario. In this application, a structure and a method for the combination of component functions in GGOD are exemplified. Moreover, GGOD suggests promotions of a lot of applications by effective combinations of basic optimization functions.

Korespondensi Preferensi dan Karakteristik Tipe Wisatawan Grup pada Kawasan Agrowisata

Facility planning will be successful if every process always consider the user and activities aspects. This aspects also applies to the agrotourism area, where tourist preference and segmentation can be used to understand visitor desires. This research aims to identify preferences and characteristics of the tourist segmentation in the visited agrotourism areas. This research used a grounded theory approach with qualitative exploratory methods. Data was collected online in an open–ended and close–ended questionnaire which was analyzed in 3 steps; open coding, axial coding, and selective coding. Based on the analysis results, tourists’ preference for visiting agrotourism area were to enjoy natural environment and do various recreational activities. The study also found the tourist characteristics was dominated by visitors who come in groups with close relationship of family and friends. The characteristics of these tourists can be used as a basis of harmonisation for determining the criteria of facilities in agrotourism where the implemented design can give attention to the sustainability (lifecycle) of tourist attraction from natural and economic aspect.