Development of the Monthly Average Daily Solar Radiation Map Using a-Cbr, Fem, and Kriging Method

Abstract

Abstract. Photovoltaic (PV) system could be implemented to mitigate global warming and lack of energy. To maximize its effectiveness, the monthly average daily solar radiation (MADSR) should be accurately estimated, and then an accurate MADSR map could be developed for final decisionmakers. However, there is a limitation in improving the accuracy of the MADSR map due to the lack of weather stations. This is because it is too expensive to measure the actual MADSR data using the remote sensors in all the sites where the PV system would be installed. Thus, this study aimed to develop the MADSR map with improved estimation accuracy using the advanced case-based reasoning (A-CBR), finite element method (FEM), and kriging method. This study was conducted in four steps: (i) data collection; (ii) estimation of the MADSR data in the 54 unmeasured locations using the A-CBR model; (iii) estimation of the MADSR data in the 89 unmeasured locations using the FEM model; and (iv) development of the MADSR map using the kriging method. Compared to the previous MADSR map, the proposed MADSR map was determined to be improved in terms of its estimation accuracy and classification level.

A review on sustainable construction management strategies for monitoring, diagnosing, and retrofitting the building’s dynamic energy performance: Focused on the operation and maintenance phase

“…Toward this end, the following factors should be considered. First, the data mining or machine learning technique should be implemented to retrieve valuable information from the big data in a large city [13][14][15][16][17][41][42][43][213][214][215][216][217][218][219][220][221]. This is because it is very difficult to provide the monitoring indexes from the national or local perspective.…”

“…Higher population density, green space density, and vegetation rate, less use of summer cooling energy Monitoring the building energy generation using GIS: The previous studies developed monitoring methods for the various factors on the building energy generation, using GIS data [12,[41][42][43][44][45][46]. Koo et al [41] developed an estimation model of the monthly average daily solar radiation (MADSR) using GIS data and advanced case-based reasoning (A-CBR).…”

“…[12,18,[41][42][43][44][45][46][47][48][49][50][51]; and (iii) the research for visualizing the performance of the building envelop (e.g., windows, doors, wall, etc.) [57][58][59][60][61][62][63][64][65][66][67].…”

“…[213][214][215][216] and (ii) the previous studies using the monthly-based data (e.g., monthly average daily solar radiation for estimating the electricity generation of the photovoltaic system, monthly electricity and gas energy consumption for establishing the optimal implementation strategy of a fuel-cell system, etc.) [15,[41][42][43]197,198]. The aforementioned previous studies aimed to establish the energy policy from the national or local perspective and to establish the optimal energy retrofit strategy from the viewpoint of a single building.…”

Kriging Model with Fractional Euclidean Distance Matrices

“…EDM's have received increased attention due to their applications in recently active fields of research, such as molecular conformation in bioinformatics, dimensionality reduction in machine learning and statistics, semidefinite programming, wireless sensor network localization (Pham et al, 2008;Ghiasi et al, 2018;Koo et al, 2018;Qian et al, 2008). However, in recent years square EDM's are mostly studied in literature (Schoenberg, 1935;Gower, 1984;Weinberger et al, 2004), although the Euclidean geometry in the real world is dealing with a square root, i.e.…”