Luis Ramirez Camargo, Roland Zink, Wolfgang Dorner
FOSS4G-based energy management system for planning virtual power plants at the municipal scale
Geomatics Workbooks, no. 12, pp. 159-164
The exploitation of renewable energy sources (RES) implies a transformation of the current energy supply infrastructure towards a spatially decentralized structure. This process has a significant impact on the use of space because energy is no longer generated far away from the demand, but it can be provided directly on-site. Hence, geographic information systems (GIS) have become a well established tool for the determination of sites for RES plants for heat and electricity generation. However, planning energy supply systems with a high share of RES, such as virtual power plants (VPPs), requires to consider also the temporal variation of the generation profiles of RES and the local energy demand. This paper presents the work in progress on a FOSS4G-based tool for the spatio-temporal modeling of municipality wide VPPs. The detailed simulation of potential RES-based supply alternatives and energy demand allows to identify suitable locations and to define the optimal size and technical characteristics of the individual RES energy generation plants in a VPP. This information can serve to assess technical renewable energy potentials at the municipal scale and to design a RES deployment roadmap customized to better fulfil the local energy demand.
Luis Ramirez Camargo, Roland Zink, Wolfgang Dorner, G. Stoeglehner
Spatio-temporal modeling of roof-top photovoltaic panels for improved technical potential assessment and electricity peak load offsetting at a municipal scale
Computers, Environment and Urban Systems, vol. 52, no. July, pp. 58-69
Integrated spatial and energy planning has become a major field of interest to meet the current renewable energy share expansion and CO2 emissions reduction targets. Geographic Information Systems (GIS) play a considerable role in supporting decision making in this field. Solar potential maps are a popular strategy to promote renewable energy generation through photovoltaic (PV) panel installations at city and municipal scales. They indicate the areas of roofs that would provide the maximum amount of energy in kW h per year. These are often used to suggest “optimal locations” for PV-panels and/or recommend system sizes to achieve a certain level of yearly autarchy. This approach is acceptable if PVs have only a minor share in the local energy supply system. However, increased PV-penetration can lead to instability of the local grid, create hazards for the security of the supply, and considerably escalate the storage and system back-up requirements. To obtain a proper understanding of the consequences for the local energy balance when selecting or rejecting a certain installation, examining the hourly and intra-hourly time series of the potential energy generation from PVs is necessary. This paper introduces a GIS-based procedure to estimate the potential PV-electricity generation time series for every roof-top section within a study area using open source software. This procedure is complemented by a series of strategies to select suitable PV-installations considering the time series analysis of supply and demand. Furthermore, thirteen technical indicators are considered to evaluate the PV-installation sets selected with every strategy. The capabilities of the procedure are tested using data from a German rural municipality. The proposed procedure constitutes an efficient and accessible way to assess solar potentials at the municipal scale and to design roof-top PV exploitation plans, which are more appropriate to fulfill the local energy requirements.
Beitrag (Sammelband oder Tagungsband)
Luis Ramirez Camargo, Roland Zink
Photovoltaik in virtuellen Kraftwerken zur Versorgung regionaler Elektromobilitätskonzepte
Angewandte Geoinformatik 2014, Berlin