Impact of electricity price fluctuations on the operation of district heating systems: A case study of district heating in Göteborg, Sweden

Clean Poultry Energy System Design Based on Biomass Gasification Technology: Thermodynamic and Economic Analysis

“…The operating cost includes the variable operating cost that is a corporate expense that changes in proportion to production output and the fixed operating cost that does not change with production output. In this study, the variable operating cost comprises maintenance material cost, fuel consumable cost, and electricity selling credit by assuming that the wood chip cost is 50 $/tonne [45] and the electricity selling price is 0.12 $/kWh [46]. While the fixed operating cost involves annual operating labor cost, maintenance labor cost, administrative and support labor, and property taxes and insurance, by using an operating labor rate of 34.65 $/h, with an operating labor burden of 30%.…”

Impacts of thermal energy storage on the management of variable demand and production in electricity and district heating systems: a Swedish case study

“…The effects on the electricity sector will depend on whether and in what way the operation of these heat production technologies changes based on electricity prices. Romanchenko et al (2017) have shown that both the variations in electricity price and the average price of electricity affect the operation strategies of CHP plants and heat pumps (HPs). More specifically, in a scenario with high levels of wind power but without nuclear power, they have reported that the resulting price fluctuations cause the HPs to be started up more frequently and run for short periods, whereas a higher average price results in more heat being produced by CHP plants and less heat being produced by HPs.…”

“…In order to answer these questions, the model applied in this paper allows for investments in TTES, PTES, and BTES, which allows for an analysis of their respective roles and possible interactions with each other. Similar to the models applied by Romanchenko et al (2017), Mollenhauer, Christidis, and Tsatsaronis (2018), and Johansson and Göransson (2019), the model applied in the present work is a combined investment and dispatch model which minimises the total system cost, has a long time-horizon (1 year) and a high level of temporal resolution (every third hour). The combination of a long time horizon and a high level of temporal resolution is vital to capture both fast TES use for demand peak-shaving and slow use for seasonal shifting of energy.…”

Challenges and Barriers by Transition Towards 4th Generation District Heating System: A Strategy to Establish a Pricing Mechanism

“…• Economic parameters: fuel and electricity prices [15], tax payments, specific investments in technologies [16]; • Institutional parameters: standards of building efficiency, heat and power generating plants, policy instruments for implementation of various measures [17]; • Social parameters: sufficiency of heat for households, arrangement of the city environment [18]. Improvement of efficiency at consumers, by implementing energy efficiency measures, installing heat insulation of buildings and implementing innovative projects (passive buildings or buildings as a heat storage) [19], is among the most important factors forcing a DH utility to plan its operations in advance and affecting heat costs [20].…”