Danish heat atlas as a support tool for energy system models

Abstract

In the past four decades following the global oil crisis in 1973, Denmark has implemented remarkable changes in its energy sector, mainly due to the energy conservation measures on the demand side and the energy efficiency improvements on the supply side. Nowadays, the capital intensive infrastructure investments, such as the expansion of district heating networks and the introduction of significant heat saving measures require highly detailed decisionsupport tool. A Danish heat atlas provides highly detailed database with extensive information about more than 2.5 million buildings in Denmark. Energy system analysis tools incorporate environmental, economic, energy and engineering analysis of future energy systems and are considered crucial for the quantitative assessment of transitional scenarios towards future milestones, such as EU 2020 goals and Denmark's goal of achieving fossil free society after 2050. The present paper shows how a Danish heat atlas can be used for providing inputs to energy system models, especially related to the analysis of heat saving measures within building stock and expansion of district heating networks. As a result, marginal cost curves are created, approximated and prepared for the use in optimization energy system model. Moreover, it is concluded that heat atlas can contribute as a tool for data storage and visualization of results.

Heat supply planning for the ecological housing community Munksøgård

“…Expansion of DH into Individual areas is not enabled. The GIS methodology used for calculating potentials and costs of district heating expansion is presented in detail in [46] and will be briefly summarized.…”

Ringkøbing-Skjern energy atlas for analysis of heat saving potentials in building stock

“…3 S. Petrovi c, K. Karlsson / Energy xxx (2016) 1e12 4 approximated and used as inputs to energy system models, as presented in Ref. [17]. If the construction, demolition and renovation rates are assumed, the Heating Model provides projections of the future heating demand.…”

“…[17] it is presented how Danish heat atlas can be utilised to calculate potentials and costs of heat saving measures, approximate them and feed them into energy system models. Heat saving programmes in the existing building stock and prioritising of heat saving measures in areas with CO 2 -intensive heat sources were identified as possible applications of Danish heat atlas in Ref.…”

Multi-objective stochastic scheduling optimization model for connecting a virtual power plant to wind-photovoltaic-electric vehicles considering uncertainties and demand response

“…In 2007, the University of Kassel formed the largest VPP pilot project by integrating a wind turbine, a solar energy system, a biogas power plant and a hydro power plant [5]. In 2009, a smart grid project connecting electric vehicles (EVs) in Denmark took the uncertainty of large-scale wind power output into consideration and introduced VPP technology to manage the EVs' charging-discharging power [6]. In 2012, the Rhineland Group in Germany began operating the first commercial VPP [7].…”