Household’s electricity consumption was investigated in winter and summer season of western part of rural area of Nepal. We conducted a field survey with a sample of 300 households in the total population 16,272 of Raskot Municipality of Kalikot, Nepal.The electricity consumption and GDP or CO2 emission were highly correlated national and global. The electricity consumption was found to be 25.7 kWh/capita/year. The average electricity consumption was highly related to family size.
This study attempts to quantify the water heating energy demand of commercial building stock. We develop archetype models of water heating demand and calculate hourly electricity demand of heat pump water heater in each building type. The result shows commercial building stock has the electricity demand adjustment potential of 0.3~0.4 GW in Kinki region.
In recent years, energy saving of buildings has become strongly required, and opportunities to simulate energy consumption of buildings are increasing before designing and at the early stage of design. In this research, in order to verify the ripple effect on the energy simulation result by the condition setting at the early stages of design, the annual thermal load calculation was conducted for various cases.
This study developed the stochastic occupancy model in office buildings using the data from Person Trip Survey. Compared to the typical occupancy schedule often assumed in the building performance simulation, the estimated occupancy schedule has a lower occupancy rate during daytime and higher occupancy rate during nighttime.
This paper presents a methodology of development the estimation model of energy demand of the office, hotel, medical, education, restaurant building stock in Japan and by using this methodology, the energy demand was estimated. Detailed modelling is carried out for the HVAC system configurations in the design of archetype buildings and energy system simulation using EnergyPlus.
In this paper, the energy consumption of non-house buildings in the operative stage of Akita Prefecture were forecasted to 2050.The predicted values were compared with the statistical values of energy consumed in Akita Prefecture. The relative errors were ranged from 2.9% to 10.6% and the prediction accuracy was within an appropriate range.
本研究では、アジアにおける民生部門のエネルギー消費実態に関するデータベースを開発し、さらに二酸化炭素排出量を削減するためのシナリオと、発展段階に応じた段階的方策の効果検証ができるプラットフォームであるBELDA(Building Energy and Lifestyle Database of Asia)を構築することを目標とする。本研究で対象とするのは東南アジアのタイ、ベトナム、カンボジアの3か国である。2016年度は、「エネルギーの量」と「生活の質」に関するデータを収集した。本報ではカンボジアでの調査結果について報告する。
This research aimed to develop of a design optimization method for a detached house planning with thermal conditions and day-lighting effects. A concept of the method, εDE-RJ (Epsilon constrained differential evolution), is to find a quasi-optimal solution by try and error. An objective function and decision variables were annual energy consumption and a composition of elemental rooms of the house used by 4 people in Tokyo, respectively.