Effects of weather forecasting on indoor comfort and energy savings in office buildings

Abstract

ObjectiveTo explore whether a climate services approach can enable both energy saving and indoor comfort. MethodsAfter analysis of the local weather forecast, the air conditioning temperature of a government building was set to be adjusted at 7:30, 11:00, and 17:00. The indoor temperature and humidity were measured by using a MAPS6.0 sensor, and thermal comfort was calculated using ISO 7730 standards. Multiple regression analysis was used to examine the correlation between the weather forecast and chiller energy consumption. ResultsAfter a three-stage air conditioning temperature control process was implemented, predicted mean vote values between 0 and 0.5 were achieved for 79.1% of the working hours in the experimental period. Outdoor and air conditioning temperatures were the most critical factors affecting the hourly energy consumption of the air conditioner and water-cooled chiller. With every 1 °C increase in the outdoor temperature, the hourly energy consumption increased by 6.57. Moreover, with every 1 °C increase in the air conditioner temperature, the hourly energy consumption decreased by 8.63. DiscussionA predicted mean vote value of >0.5 was recorded for 15.9% of the working hours; this may be related to high indoor humidity, weather forecast inaccuracies, and the air conditioner being turned on too late in the day. From July to October 2021, 8749 kW h of electricity were saved, and carbon emissions were reduced by 1405 kg. Regulating air conditioning temperatures through weather forecasts can achieve energy savings.