著者
野田 英樹 奥野 喜裕 伊坪 徳宏
出版者
日本LCA学会
雑誌
日本LCA学会誌 (ISSN:18802761)
巻号頁・発行日
vol.11, no.2, pp.172-188, 2015 (Released:2015-11-09)
参考文献数
25
被引用文献数
1 1

Objective. Photovoltaic (PV) power systems are considered an essential component of environmental friendly society. However, the land area required for generating unit amount of power by PV system is larger than that for an equivalent coal-fired power system. In Japan there has been some instances of PV power systems being installed in forest areas. Therefore, the purpose of this study is to explore the impact of PV power systems on Japanese forests. Forest vegetation is classified into the 13 types used in the “Life cycle Impact assessment Method based on Endpoint modeling 2 (LIME2)” methodology. This will allow us to establish the relationship between the reduced CO2 emissions of a PV power system and the system’s impact on forest by way of land use, compared with those of coal-fired power system.Results and Discussion. The environmental impact of a PV power system installed on a roof was calculated as 6.3% of the impact of a coal-fired power system. In contrast, placing the PV power system in oak or pine forest had a substantially greater environmental impacts, of 76.7% and 99.9% respectively. Following sensitivity analysis, it became apparent that the area required by a PV power system per generated unit of power is the most important factor. For example, with regard to the oak forest, the environmental impact of the PV power system can be reduced from 99.9% to 74.2% by decreasing the area required per generated unit of power from 15,200m2/MW to 11,000m2/MW. A further improvement of 5.8% can be achieved by planting grass under PV panels.Conclusions. LIME2 damage factors were used to classify land use impact for 13 vegetational types of Japanese forest. From the calculated results, it is clear that the environmental impact of PV power system land use on a forest should not be disregarded; however, the level of that impact will depend on the vegetational classification. Furthermore, reducing the utilization rate of the PV power system is an effective way to lessen the impact of land use.
著者
松江 清高 野田 英樹 近藤 浩一
雑誌
2018年度人工知能学会全国大会(第32回)
巻号頁・発行日
2018-04-12

個人行動データを用いて各個人がビル内の食堂を利用するかどうかを推定するモデルを作成し、それを食堂食事数予測問題へ適用したときの効果を分析した。従来は、個人行動データを用いず、機械学習の一つであるランダムフォレストにより食堂利用率を推定するモデルを作成し、その結果とビル在館者数から食堂食事数を予測していた。従来手法で食堂食事数を予測した場合の予測誤差は約47食であるのに対し、個人行動モデルを適用した場合は約44食となり、従来手法を若干上回る結果が得られた。
著者
野田 英樹 鎌田 直人
出版者
日本爬虫両棲類学会
雑誌
爬虫両棲類学会報 (ISSN:13455826)
巻号頁・発行日
vol.2004, no.2, pp.102-113, 2004-09-30 (Released:2010-06-28)
参考文献数
19
被引用文献数
1