Description

Heat pumps and photovoltaic systems become more common in residential neighborhoods, where they alter the traditional relationship with the electricity distribution grid, causing congestion and voltage problems. This paper investigates the influence of weather data on low-voltage grid impact indicators calculated within a previously developed probabilistic framework. We compared results for seven different synthetic weather years, generated forBelgium using Meteonorm, ranging from “average” to “extreme cold winter and sunny summer” as well as twofuture scenarios for 2050. Since peak demand and generation are influenced by ambient temperature and solarirradiation respectively, extreme values in weather inputs can potentially determine the outcome of an impact analysis. We, therefore, argue not to rely on average synthetic weather year profiles. Additionally, the impact of using a single representative week as alternative to year-long simulation was investigated.

Citation: ASHRAE/IBPSA-USA Bldg Simulation Conf, Sept 2018

Product Details

Published:

2018

Number of Pages:

8

Units of Measure:

Dual

File Size:

1 file , 2.5 MB

Product Code(s):

D-BSC18-C108